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Publications 

2022

- Kavya Govindarajan, Dhinakaran Vinayagamurthy, Praveen Jayachandran, Chester Rebeiro (IIT Madras) (2022)."Privacy-Preserving Decentralized Exchange Marketplaces". ICBC'22

- Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N Balasubramanian (2022). "A Framework for Learning Ante-hoc Explainable Models via Concepts". CVPR 2022.

- Vijay Arya, et al (2022). "AI Explainability 360: Impact and Design".IAAI-22 (collocated with AAAI) 

- Ayush Jain, Smit Marvaniya, Shantanu Godbole, and Vitobha Munigala (2022) "Towards Context-based Model Selection for Improved Crop Price Forecasting".  Applied Data Sciences (ADS) track at CODS-COMAD 2022.

- Devyani Lambhate, Smit Marvaniya, Jitendra Singh and David Gold (2021). "Improved Drought Forecasting Using Surrogate Quantile And Shape (SQUASH) Loss". Tackling Climate Change with Machine Learning Workshop at NeurIPS 2021

- Ruhi Sharma Mittal*, Lokesh N*,  Ramasuri Narayanan(2022). "Is your Data relevant? Dynamic Selection of Relevant Data for Federated Learning." AAAI-22. Authors:

- Arun Kumar, Vikas Agarwal, Nisha Gupta, Harshal Tupsamudre, Sneha Mondal (2022) "AI assisted Controls Change Management for Cybersecurity in the Cloud". IAAI 2022. 

 - Raunak Sinha, Shivali Agarwal, Giriprasad Sridhara, Pratap, Utkarsh Desai, Srikanth Tamilselvam, Amith Singhee, Hiroaki Nakamura(2022) "Monolith to Microservice Candidates using Business Functionality Inference".  ICWS2021 (Short research paper).

- Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner and Robert Kern (2022). "Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services". IAAI

2021

- Dhanya R. Mathews (IISc), Mudit Verma, Pooja Aggarwal, J. Lakhsmi (IISc) (2021). "Towards Failure Correlation for Improved Cloud Application Service Resilience". UCC-CloudAM 2021.

- Best Paper Award Krishnasuri Narayanam, Akshar Kaul, Ken Kumar, Pankaj Dayama. "Partial Order Transactions on Permissioned Blockchains for enhanced Scalability", BRAINS 2021.

- Abhinav Nagpal (GRM student), Riddhiman Dasgupta, Balaji Ganesan (2021). "Fine Grained Classification of Personal Data Entities with Language Models". . CODS-COMAD 2022 Research Track

- Hima Patel, Nitin Gupta, Naveen Panwar, Ruhi Sharma Mittal, Sameep Mehta, Shanmukha Guttula, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Vitobha Munigala (2021). "Automatic Assessment of Quality of your Data for AI". CODS-COMAD 2022.

- Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans (2021) "Data Synthesis for Testing Black-Box Machine Learning Models". CODS-COMAD 2022 Research Track

- Saravanan Krishnan, Alex Mathai, Amith Singhee, Atul Kumar, Shivali Agarwal, Keerthi Narayan Raghunath and Dave Wenk. (2021). "Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization". CODS-COMAD2022.

- Neelamadhav Gantayat, Prateeti Mohapatra.(2021) "Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach".  CODS-COMAD 2022 Research Track.

- Ayush Jain, Smit Marvaniya, Shantanu Godbole, and Vitobha Munigala (2021). "Towards Context-based Model Selection for Improved Crop Price Forecasting,". Applied Data Sciences (ADS) track at CODS-COMAD 2022

- G P Shrivatsa Bhargav, Dinesh Khandelwal, Saswati Dana, Dinesh Garg (2021). "Semantic Answer Type Prediction" to appear in Proceedings of the SeMantic AnsweR Type prediction task (SMART)" ISWC 2021

- Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Manish Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal (2021). "HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning" BigData 2021

- SK Mainul Islam (IIT Kharagpur), Abhinav Nagpal (VIT Vellore), Balaji Ganesan, Pranay Lohia (2021). "Fair Data Generation using Language Models with Hard Constraints". CtrlGen: Controllable Generative Modeling in Language and Vision Workshop at NeurIPS 2021

- Nishtha Madaan, Diptikalyan Saha, Srikanta Bedathur (2021). "Robust Text Generation using Sequence-to-Sequence Pre-Training".  CtrlGen: Controllable Generative Modeling in Language and Vision Workshop at NeurIPS 2021.

- Vivek Iyer (Intern), Arvind Agarwal, Harshit Kumar (2021). "Multifaceted Context Representation using Dual Attention for Ontology Alignment". EMNLP 2021 (Full Paper)

- Venkatesan T Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R Choudhury, Ashok Pon Kumar Sree Prakash, Yogish Sabharwal and Amith Singhee (2021) "Rightsizing Clusters for Time-Limited Tasks", V (short paper).IEEE CLOUD 2021

- Seema Nagar (2021). "Localization of Operational Faults in Cloud Applications by Mining Causal Dependencies in Logs using Golden Signals" SRE conference.

- Vivek Iyer (Intern, 2020), Arvind Agarwal and Harshit Kumar (2021). "Multifaceted Context Representation using Dual Attention for Ontology Alignment". EMNLP

- Manish Kesarwani (2021)"Data Readiness Report". IEEE SMDS 2021

- Manish Kesarwani (2021)"Knowledge and Learning-based Adaptable System for Sensitive Information Identification and Handling". IEEE CLOUD 2021
 

- Qing Wang, Larisa Shwartz, Genady Ya Grabarnik, Vijay Arya, Karthikeyan Shanmugam. (2021) "Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models". IEEE CLOUD

- Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos. (2021) "Secure k-Anonymization over Encrypted Databases". Research Track Full Paper in IEEE Cloud 2021 (IBM Top Tier Conference).

- Akshar Kaul, Manish Kesarwani, Hong Min, Qi Zhang (2021) "Knowledge and Learning-based Adaptable System for Sensitive Information Identification and Handling". Research Track Full Paper in IEEE Cloud 2021 (IBM Top Tier Conference).

- Ruchi Mahindru (YKT), Harshit Kumar, Sahil Bansal (2021) "Log Anomaly to Resolution: AI Based Proactive Incident Remediation". ASE 2021, NIER track.

- Saneem Chemmengath, Soumava Paul, Samarth Bharadwaj, Suranjana Samanta and Karthik Sankaranarayanan. (2021) "Addressing Target Shift in Zero-shot Learning using Grouped Adversarial Learning". IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021

- Venkatesan Chakaravarthy, S. Shivmaran, Saurabh Raje, Yogish Sabharwal, Shashanka Ubaru, Toyo Suzumura.(2021) "Efficient Scaling of Dynamic Graph Neural Networks". ACM Supercomputing (SC), 2021

- Vijay Arya. (2021) "One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques." INFORMS 2021

- Avirup Saha (IIT KGP), Balaji Ganesan (2021). "Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior". MiLeTS workshop at KDD 2021

- Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel (2021). "Data Readiness Report". IEEE International Conference on Smart Data Services (SMDS), 2021 - PIC TOP

- Manish Kesarwani, Akshar Kaul, Hong Min, Qi Zhang (2021). "Knowledge and Learning-based Adaptable System for Sensitive Information Identification and Handling". IEEE Cloud 2021 as Full Papers - PIC TOP

- Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos (2021) "Secure k-Anonymization over Encrypted Databases". IEEE Cloud 2021 as Full Papers

- Raghav Batta, Michael Nidd, Larisa Shwartz, Amar Prakash Azad, Harshit Kumar (2021). "A system for proactive risk assessment of application changes in cloud operations". IEEE Cloud 2021 (Top Tier Conference)

- Pooja Aggarwal, Seema Nagar, Ajay Gupta, Larisa Shwartz, Prateeti Mohapatra, Qing Wang, Amit Paradkar, and Atri Mandal (2021). "Causal Modeling based Fault Localization in Cloud Systems using Golden Signals". IEEE Cloud 2021 (Top Tier Conference)

- Vikas Agarwal, Roy Bar-Haim, Lilach Eden, Nisha Gupta, Yoav Kantor and Arun Kumar (2021). "AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads". IEEE Cloud 2021 (Top Tier Conference)

- Venkatesan T Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R Choudhury, Ashok Pon Kumar Sree Prakash, Yogish Sabharwal and Amith Singhee (2021) . "Rightsizing Clusters for Time-Limited Tasks". (short paper). IEEE Cloud 2021 (Top Tier Conference)

- Dhanya R. Mathews, Mudit Verma, Pooja Aggarwal and J. Lakshmi (2021). "Insights into Multi-Layered Fault Propagation and Analysis in a Cloud Stack". IEEE Cloud 2021 (Top Tier Conference)

- Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos (2021). "Secure k-Anonymization over Encrypted Databases". Research Track Full Paper in IEEE Cloud 2021 (IBM Top Tier Conference).

- Akshar Kaul, Manish Kesarwani, Hong Min, Qi Zhang (2021). "Knowledge and Learning-based Adaptable System for Sensitive Information Identification and Handling". Research Track Full Paper in IEEE Cloud 2021 (IBM Top Tier Conference).

- Isaac Waweru, Kedar Kulkarni, Sachin Sethiya, Pavel Zelinsky, Brian Quanz, Anum Valliani, Chandra Narayanaswami (2021). "Real-time omni-channel fulfilment optimization while accounting for environmental impact". INFORMS

- Reginald Eugene Bryant, Kedar Kulkarni, Isaac Waweru (2021). "Quantification of potential emission reduction in order fulfilment optimization". INFORMS

- Saurav, Ivan, Ranjini, Kedar (2021). "Economically viable sustainable supplier and route selection framework for food supply chains". INFORMS

- Ayush, Ranjini, Jago (2021). "A Framework For GHG Hot-spot Identification And Recommendation Of Farming Practices Using Cohort Analysis". INFORMS

- Mani, Jago, Ayush, Andres (2021). "An Adaptive Transfer-learning Based Missing Data Imputation For Reliable Accounting Of Building Carbon Footprint". INFORMS

- Navin Twarakavi, Kamal Das, Akram Zaytar, Fred Otieno and Jitendra Singh (2021). "Climate-aware Forecasting Of Agricultural Produce Across Large Regions". INFORMS

- Navin Twarakavi, Kamal Das, Fred Otieno, Akram Zaytar, Jitendra Singh, Komminist Weldemariam and Shantanu Godbole (2021) "Big data analytics for climate resilient food supply chains: Opportunities and way forward". Data Science in Agriculture and Natural Resource Management book

- Vanya BK (IIT Madras), Balaji Ganesan, Aniket Saxena, Devbrat Sharma, Arvind Agarwal (2021). "Towards Automated Evaluation of Explanations in Graph Neural Networks". XAI workshop, ICML 2021

- Anjali Singh (Manipal), Shamanth R Nayak (Manipal), Balaji Ganesan (2021). "Re-imagining GNN Explanations with ideas from Tabular Data". XAI workshop, ICML 2021

- Shreya Khare, Ashish Mittal, Anuj Diwan, Sunita Sarawagi, Preethi Jyothi, Samarth Bharadwaj (2021). "Low Resource ASR: The surprising effectiveness of High Resource Transliteration". Interspeech 2021

- Shreya Khare, Ashish Mittal,Samarth Bharadwaj, Karthik Sankaranarayanan (2021). "Multilingual and code-switching ASR challenges for low resource Indian languages". Interspeech 2021.

- Krishnasuri Narayanam, Akshar Kaul, Ken Kumar (Ex-IRL), Pankaj Dayama (2021) . "Partial Order Transactions on Permissioned Blockchains for enhanced Scalability". BRAINS'21 (IBM Companion Conference).

- L. Sunil Chandran (external), Abhiruk Lahiri (external), Nitin Singh. "Improved Approximation for Maximum Edge Coloring Problem". 'Discrete Applied Mathematics' journal. 

- Sharat Chandra (UNSW, Sydney), Alex Mathai , Hassan Habibi Gharakheili (UNSW, Sydney), Vijay Sivaraman (UNSW, Sydney)(2021). "ReCLive: Real-Time Classification and QoE Inference of Live Video Streaming Services". IEEE IWQoS  '21

- Nishant Budhdev (NUS), Raj Joshi (NUS), Pravein Govindan Kannan, Mun Choon Chan (NUS) (2021). "FSA: Enabling end-to-end QoS in 5G with Fronthaul Network Slicing". ACM MobiCom '21

- Jaspreet Singh Dhani*, Ruchika Bhatt*, Balaji Ganesan, Parikshet Sirohi, Vasudha Bhatnagar (2021). "Similar Cases Recommendation using Legal Knowledge Graphs". KG Workshop, KDD '21

- Sambaran Bandyopadhyay and Vishal Peter (2021). "Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network". 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) (Full Research track paper)

- Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg (2021). "Explanations for CommonSenseQA: New Dataset and Models". ACL-IJCNLP 2021 (PIC Top) (Full Research Paper)

- Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav and Mo Yu. (2021). "Leveraging Abstract Meaning Representation for Knowledge Base Question Answering" ACL-IJCNLP 2021 (PIC Top) Full Research Paper

- Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li and Alexander Gray (2021). "LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking". ACL-IJCNLP 2021 (PIC Top) (Full Research Paper)

- Atul Kumar, Nisha Gupta, Saswati Dana (2021). "Constructing Micro Knowledge Graphs from Technical Support Documents". ESWC 2021 (Industry Track)

-  Atul Kumar, Nisha Gupta and Saswati Dana (2021). "Constructing Micro Knowledge Graphs from Technical Support Documents" ESWC'21 (Industry Track)

- Ashwin Kumar (IIT Bombay), Priyanka Naik (IBM Research, India), Sahil Patki (IIT, Bombay), Pranav Chaudhary (IIT, Bombay), Mythili Vutukuru (IIT, Bombay) (2021). "Evaluating Network Stacks for the Virtualized Mobile Packet Core". Asia-Pacific Workshop on Networking (APNet 2021).

- Vannur, Lingraj S. (GRM Student from NMIT, Bengaluru), Balaji Ganesan, Lokesh Nagalapatti, Hima Patel, and M. N. Thippeswamy (NMIT, Bengaluru).(2021). "Data Augmentation for Fairness in Personal Knowledge Base Population." 1st International Workshop on Data Assessment and Readiness for AI, PAKDD 2021.

- Shazia Afzal, Arunima Chaudhary, Nitin Gupta, Hima Patel, Carolina Spina and Dakuo Wang (2021). "Data-Debugging through Interactive VisualExplanations" International Workshop on Data Assessment and Readiness for AI at PAKDD 2021.

- Pooja Aggarwal, Ajay Gupta and Seema Nagar (2021). "Out-of-the-box fault localization in AIOPS". IBM's Digital Developer Conference: AIOps & Integration event

- Krishnasuri Narayanam, Seep Goel, Abhishek Singh, Yedendra Shrinivasan (Ex-IBM), Parameswaran Selvam (ISL)(2021). "Blockchain Based Accounts Payable Platform for Goods Trade". Research Track Short Paper in IEEE ICBC 2021 (IBM Companion Conference)

- Krishnasuri Narayanam, Kameshwaran Sampath, Ken Kumar(Ex-IRL), Sai Koti Reddy Danda(Ex-IRL), Pankaj Dayama (2021). "Atomic Execution of Optimization Transactions on Permissioned Blockchains". Research Track Full Paper in IEEE ICBC 2021 (IBM Companion Conference)

- Prabuchandran K J (Ex-IBM), Nitin Singh, Pankaj Dayama, Ashutosh Agarwal (Student, IIT Dharwad), Vinayaka Pandit (2021). "Change Point Detection for Compositional Multivariate Data". Applied Intelligence Journal

- Debanjana Kar, Suranjana Sumantha, Amar Prakash Azad (2021). "Meta-Context Transformers for Domain-Specific Response Generation". PAKDD 2021.

- Atri Mandal, Shivali Agarwal, Saranya Gupta, Prateeti Mohapatra (2021). "Improved Topology Extraction using Discriminative Parameter Mining of Logs". PAKDD 2021

- Sambaran Bandyopadhyay, Manasvi Aggarwal, M. N. Murty (2021) "A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention". PAKDD 2021.

- Ritwik Chaudhuri, Kushal Mukherjee, Ramasuri Narayanam, Rohith Vallam (2021). "Collaborative RL Framework to Model Evolution of Cooperation in Sequential Social Dilemmas". PAKDD 2021

- Pravein Govindan Kannan, Nishant Budhdev (NUS), Raj Joshi (NUS), Mun Choon Chan (NUS) (2021)."Debugging Transient Faults in Data Centers using Synchronized Network-wide Packet Histories". NSDI 2021

- Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans, Swastik Haldar, Rema Ananthanarayanan, Diptikalyan Saha (2021). "Testing Framework for Black-box AI Models". ICSE 2021 (Demo Paper)

- Ishan Tarunesh, Vishwajeet Kumar, Sushil Khyalia,  Preethi Jyothi, Ganesh Ramakrishnan. (2021). "Meta-Learning for Effective Multi-task and  Multilingual Modelling". EACL 2021 

- Nikhil Saini (IIT-B), Drumil Trivedi,  Shreya Khare, Tejas I.Dhamecha, Preethi Jyothi, Samarth Bharadwaj, Pushpak Bhattacharyya (2021). "Disfluency correction using Unsupervised and Semi-supervised Learning". EACL 2021 (Short paper)

- Larisa Shwartz, Qing Wang, Raghav Batta, Harshit Kumar and Michael Nidd (2021). "FIXME: Enhance Software Reliability with Hybrid Approaches in Cloud".  ICSE 2021.

Honorable mention award, Industry track - Pooja Aggarwal, Sahil Bansal, Prateeti Mohapatra, Atul Kumar  (2021). "Mining domain-specific component action links for technical support documents" CODS-COMAD 2021 (Industry track)

- Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam (2021). "Graph Neural Network to Dilute Outliers for Refactoring Monolith Application". AAAI 2021 research track

- Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha (2021). "Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text". AAAI 2021 

- Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee (2021). "Robust resource demand estimation using hierarchical Bayesian model in a distributed service system". ACM CoDS-COMAD 2021 (Industry track paper)

- Prabuchandran K.J. , Santosh Penubothula, Chandramouli K, Shalabh Bhatnagar (2021). "Novel First Order Bayesian Optimisation with an Application to Reinforcement Learning". Applied Intelligence.

2020

- Kameshwaran Sampath, D. Sai Koti Reddy, Ken Kumar, Krishnasuri Narayanam, Pankaj Dayama, Vinayaka D Pandit (2020)."Collaborative shipping sans orchestrator using Blockchain". INFORMS Annual Meeting 2020

- Kameshwaran Sampath, Pankaj Dayama, D. Sai Koti Reddy and Vinayaka D Pandit (2020). "Invoice Reconciliation Using Blockchain". INFORMS Annual Meeting 2020

- Kameshwaran Sampath, D. Sai Koti Reddy, Ken Kumar, Krishnasuri Narayanam, Pankaj Dayama, Suryanarayana Sankagiri (2020). "Collaborative Shipping Sans Orchestrator Using Blockchain". IEEE International Conference on Blockchain 2020 (Short Paper)

- Krishnasuri Narayanam, Seep Goel, Abhishek Singh, Yedendra Shrinivasan, Shreya Chakraborty, Parameswaran Selvam, Vishnu Choudhary, Mudit Verma (2020). "Blockchain Based e-Invoicing Platform for Global Trade". IEEE International Conference on Blockchain 2020 (Short Paper). 

- Dushyant Behl, Palani Kodeswaran, Venkatraman Ramakrishna, Sayandeep Sen, Dhinakaran Vinayagamurthy (2020). "Trusted Data Notifications from Private Blockchains", IEEE International Conference on Blockchain 2020 (Short Paper). 

- Kalapriya Kannan, Abhishek Singh, Mudit Verma, Praveen Jayachandran, Sameep Mehta (2020)."Blockchain-Based Platform for Trusted Collaborations on Data and AI Models". IEEE International Conference on Blockchain 2020

- Prabal Bannerjee, Chander Govindarajan, Praveen Jayachandran, Sushmita Ruj (2020). "Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain", IEEE International Conference on Blockchain 2020 (Short Paper).

- Balaji Ganesan, Hima Patel, Sameep Mehta (2020). "Explainable Link Prediction for Privacy Preserving Contact Tracing". ScipyFL workshop at NeurIPS 2020

- Saurabh Goyal, Anamitra Roy Choudhury, Saurabh Raje, Venkatesan Chakaravarthy, Yogish Sabharwal, Ashish Verma (2020). "Blog on PowerBERT" ICML 2020

- Suranjana Samanta, Ajay Gupta, Prateeti Mohapatra, Amar Prakash Azad (2020). "Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers' Conversations in Hybrid Cloud Operations"  Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21).

- Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam (2020). "Graph Neural Network to Dilute Outliers for Refactoring Monolith Application". Full Research Paper at AAAI'21

- Utkarsh Desai, Giriprasad Sridhara, Srikanth Tamilselvam (2020). "Advances in Code Summarisation". Technical Briefing at ICSE'21

- Smit Marvaniya, Umamaheswari Devi, Jagabondhu Hazra, Shashank Mujumdar, Nitin Gupta (2020) "Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data". International Journal of Remote Sensing (IJRS, 2020)

- Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar (2020). "Deep Domain Adaptation under Label".CODS COMAD-2021

- Debanjana Kar, Mohit Bhardwaj, Surajana Sumanta, Amar Prakash  Azad (2020)."No Rumours Please! A Multi-Indic-LingualApproach for Covid Fake-Tweet Detection". IEEE GHCI 2021

- Arvind Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta (2020). "Budgeted Batch Mode Active Learning with Generalized Cost and Utility Functions" ICPR 2021

- Himanshu Gupta, Rajmohan C, Sameep Mehta and Kiran Pulapa (2020). "On Efficiently Processing Business Lineage Queries". IEEE Bigdata 2020

- Sambaran Bandyopadhyay, Kishalay Das, and M. Narasimha Murty (2020). "Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion" IEEE International Conference on Big Data

- Sambaran Bandyopadhyay, Manasvi Aggarwal, and M. Narasimha Murty (2020). "Self-supervised Hierarchical Graph Neural Network for Graph Representation" (Short paper) IEEE International Conference on Big Data

- Balaji Ganesan, Matheen Ahmed Pasha, Sumit Bhatia, Neeraj R Singh, Srinivasa Parkala, Gayatri Mishra, Hima Patel, Somashekar Naganna, Sameep Mehta (2020). "xLP: Explainable Link Prediction Demo". IBM Data and AI . NeurIPS 2020 

- Shubham Sahai (IITK), Nitin Singh, Pankaj Dayama (2020). Enabling Privacy and Traceability in Supply Chains using Blockchain and Zero Knowledge Proofs" IEEE Blockchain.

- Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee (2020). "Robust resource demand estimation using hierarchical Bayesian model in a distributed service system". Industry Track paper at CODS-COMAD 2021

- Santosh Srivastava, Dinesh Khandelwal, Dheeraj madan, Dinesh Garg, Hima Karanam, L Venkat Subramaniam (2020). "Inductive Quantum Embedding". NeurIPS 2020 (PIC Top)

- Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar (2020). "Deep Domain Adaptation under Label Scarcity". ACM India CODS-COMAD 2021

- Vijay Arya, Karthikeyan Shanmugam(YKL), Pooja Aggarwal, Qing Wang(IRL), Prateeti Mohapatra, Seema Nagar (2020). "Evaluation of Causal Inference Techniques for AIOps".  CODS-COMAD 2021 research track.

- Amar Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar (2020). "Deep Domain Adaptation under Label Scarcity". CODS-COMAD 2021 research track

- Pooja Aggarwal, Sahil Bansal, Prateeti Mohapatra, Atul Kumar (2020). "Mining Domain-specific Component-Action Links for Technical Support Documents". CODS-COMAD 2021 Industry track.

- Vijay Arya, Karthikeyan Shanmugam, Pooja Aggarwal, Qing Wang, Prateeti Mohapatra and Seema Nagar (2020). "Evaluation of Causal Inference Techniques for AIOps". ACM CODS-COMAD 2021

- Swastik Haldar, Philips George John and Diptikalyan Saha (2020). "Reliable Counterfactual Explanations for Autoencoder based Anomalies". CODS/COMAD 2021

- Pooja Aggarwal, Ajay Gupta, Prateeti Mohapatra, Seema Nagar, Atri Mandal, Qing Wang(YKL) and Amitkumar M Paradkar(YKL) (2020)."Localization of operational faults in cloud applications by mining causal dependencies in logs using Golden Signals". AIOPS 2020

- Balaji Ganesan, Avirup Saha (IIT Kharagpur), Jaydeep Sen, Matheen Ahmed Pasha (IBM Data and AI), Sumit Bhatia and Arvind Agarwal (2020). "Anu Question Answering System". Industry track at ISWC 2020.

- Kameshwaran Sampath, D. Sai Koti Reddy, Ken Kumar(Ex-IRL), Krishnasuri Narayanam, Pankaj Dayama, Suryanarayana Sankagiri(Intern-IRL) (2020). "Spot Collaborative Shipping Sans Orchestrator Using Blockchain". IEEE Blockchain 2020 (IBM Companion Conference). (SHORT PAPER).

- Krishnasuri Narayanam, Seep Goel, Abhishek Singh, Yedendra Shrinivasan(IBM Blockchain BU), Shreya Chakraborty(Ex-IRL), Parameswaran Selvam(IBM ISL), Vishnu Choudhary(Ex-IRL), Mudit Verma (2020). "Blockchain Based e-Invoicing Platform for Global Trade". IEEE Blockchain 2020 (IBM Companion Conference). (SHORT PAPER).

- Kameshwaran Sampath, D. Sai Koti Reddy, Ken Kumar(Ex-IRL), Krishnasuri Narayanam, Pankaj Dayama, Vinayaka D Pandit (2020). "Collaborative shipping sans orchestrator using Blockchain". INFORMS Annual Meeting 2020 (IBM Top Tier Conference).

- Kameshwaran Sampath, Pankaj Dayama, D. Sai Koti Reddy and Vinayaka D Pandit, “ Invoice Reconciliation Using Blockchain”, INFORMS Annual Meeting 2020 (IBM Top Tier Conference).

- Gunjan Singh, Sumit Bhatia, Raghava Mutharaju (2020). "OWL2Bench: A Benchmark for OWL 2 Reasoners". ISWC 2021

- Venkatesan Chakaravarthy, Anamitra Roy Choudhury, Sambuddha Roy, Yogish Sabharwal (2020). "Scheduling Split Intervals with Non-Uniform Demands". Discrete Optimization Journal

- Shazia Afzal, Tejas Dhamecha, Paul Gagnon (NTU), Akash Nayak, Ayush Shah (Ex-IRL), Jan Carlstedt-Duke (NTU), Smriti Pathak (Imperial College, London), Sneha Mondal, Akshay Gugnani, Nabil Zary (NTU), Malolan Chetlur (2020). "AI Medical School Tutor: Modelling and ImplementationVenue". International Conference on Artificial Intelligence in Medicine (AIME 2020)

- Ashish Mittal, Samarth Bharadwaj, Shreya Khare, Saneem Chemmengath, Karthik Sankaranarayanan, Brian Kingsbury (2020). "Representation based meta-learning for few-shot spoken intent recognition" Interspeech 2020.

- Xue Han, Lianxue Hu, Jaydeep Sen, Ya Bin Dang, Bu Yu Gao, Vatche Isahagian, Chuan Lei, Vasilis Efthymiou, Fatma Ozcan, Abdul Quamar, Ziming Huang and Vinod Muthusamy (2020)."Bootstrapping Natural Language Querying on Process Automation Data". IEEE World Congress on Services SCC (IBM Top Tier Conference)

- Prerna Agarwal, Daivik Swarup (Ex-IBM), Sushruth Prasannakumar (GRM Student from NMIT Bangalore), Sampath Dechu, Monika Gupta (2020). "Unsupervised Contextual State Representation for Improved Business Process Models". AI4BPM Workshop (BPM 2020)

- Monika Gupta, Prerna Agarwal, Tarun Tater, Sampath Dechu, Alexander Serebrenik (Associate Professor, Eindhoven University of Technology, The Netherlands) (2020). "Analyzing Comments in Ticket Resolution to Capture Underlying Process Interactions" AI4BPM 2020 Workshop organised with BPM 2020.

- Vikas C. Raykar, Pavithra Harsha, Nupur Aggarwal, Surya Shravan Kumar Sajja (2020). "AI for fashion supply/value chain. Organising the fifth international workshop on AI and fashion supply chain, hosted at KDD 2020

- Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee, Surya Shravan Kumar Sajja, Satyam Dwivedi, Vikas Raykar. "Attention based multi-modal new product sales time-series forecasting." KDD 2020, Applied Data Science Track .

- Vijay Arya (2020).  “AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models” JMLR journal

- Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha (2020). “Verifying Individual Fairness in Machine Learning Models” UAI 2020.

- Abhinav Jain, Lokesh N, Nitin Gupta,Ruhi Sharma Mittal, Shanmukha Guttula, Shashank Mujumdar, Shazia Afzal, Vitobha Munigala, Hima Patel, Sameep Mehta (2020). "Overview and Importance of Data Quality for Machine Learning Tasks" KDD 2020.

- Xue Han, Lianxue Hu, Lijun Mei, Yabin Dang, Shivali Agarwal, Xin Zhou, Pengwei Hu (2020). "A-BPS: Automatic Business Process Discovery Service using Ordered Neurons LSTM from #18" 2020 IEEE International Conference on Web Services (IEEE ICWS 2020)

- Tejas Indulal Dhamecha, Sneha Mondal with NTU collaborators (2020)."Learning Outcomes and their Relatedness under Curriculum Drift". AIED 2020 (Short Paper)

- Hagit Attiya (Technion), Panagiota Fatourou (Univ. of Crete), Sandeep Hans (IBM), and Eleni Kanellou (ICS-Forth) (2020). "Staleness and Local Progress in Transactional Memory". NETYS-2020

- Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, Scott McCarley, Michael McCawley, Cezar Pendus, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avi Sil, Rosario Uceda-Sosa, Todd Ward and Rong Zhang (2020). "The TechQA Dataset". ACL, 2020.

- Michael Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, G P Shrivatsa Bhargav, Dinesh Garg and Avi Sil (2020). "Span Selection Pre-training for Question Answering". ACL, 2020

- Anamitra Roy Choudhury, Saurabh Goyal, Yogish Sabharwal, Ashish Verma (2020). "Variable batch size across layers for efficient prediction on CNNs". IEEE CLoud 2020

- Shivali Agarwal, Jayachandu Bandlamudi, Atri Mandal , Anupama Ray, Giriprasad Sridhara (2020). "Automated assignment of Helpdesk Email Tickets: An AI Lifecycle Case Study". AI Magazine (PIC-Top Journal)

- Dwaipayan Roy, Sumit Bhatia and Prateek Jain (2020). "A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages" LREC 2020

- Sanjit Chatterjee, Manish Kesarwani, Jayam Modi, Sayantan Mukherjee, Shravan Kumar Parshuram Puria, Akash Shah (2020). "Secure and Efficient Wildcard Search over Encrypted Data". International Journal of Information Security (IJIS)

- Fatma Özcan(IBM Research Almaden), Abdul Quamar(IBM Research Almaden), Jaydeep Sen(IRL), Chuan Lei(IBM Research Almaden), Vasilis Efthymiou(IBM Research Almaden) 2020. "State of the Art and Open Challenges in Natural Language Interfaces to Data". Tutorial at SIGMOD 2020

Rishi Saket, Nitin Singh, Pankaj Dayama, Vinayaka Pandit (2020)."Smart Contract Protocol for Authenticity andCompliance with Anonymity on Hyperledger Fabric". IEEE International Conference on Blockchain and Cryptocurrency, 2020

- Danish Contractor (2020)."Constrained BERT LSTM CRF for Understanding Multi-sentence entity seeking Questions". NLE Journal (TOP PIC)

- Dhiraj Madan, Dinesh Raghu, Gaurav Pandey, Sachindra Joshi (2020). "Unsupervised Learning of Interpretable Dialog Models" ECAI 2020 (PIC-TOP in 2019).

2019

- Akshay Gugnani and Hemant Misra (2019). "Implicit Skills Extraction using Document Embedding and its use in Job Recommendation". AAAI-20 - IAAI Conference
- Xue Han, Yabin Dang, Lijun Mei, Shaochun Li, Lianxue Hu, Shivali Agarwal and Xin Zhou (2019)."Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study". IPA workshop in AAAI'20
- Chandresh Kumar, Neelamadhav Gantayat, Sampath Dechu and Tomáš Horváth (2019)."Online Similarity Learning with Feedback for Invoice Line Item Matching". IPA workshop AAAI'20
- Koyel Mukherjee, Alind Khare, Yogish Sabharwal and Ashish Verma (2019). "A Simple Dynamic Learning Rate Algorithm for Automated Training of DNNs". NeurIPS 2019, Science meets Engineering of Deep Learning (SEDL). (workshop Paper). 
- Phillipp Müller, Xiao Qin, Balaji Ganesan, Nasrullah Sheikh and Berthold Reinwald (2019). “An Integrated Graph Neural Network for Supervised Non-obvious Relationship Detection in Knowledge Graphs” EDBT 2020 (Short Paper)

November

- Dinesh Khandelwal, Suyash Agrawal, Parag Singla, Chetan Arora (2019)."Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks" NeurIPS 2019, workshop on Learning with Rich Experience: Integration of Learning Paradigms (PIC Top)
- G P Shrivatsa Bhargav (IISc), Michael R. Glass (IBM Research), Dinesh Garg, Shirish Shevade (IISc), Saswati Dana, Dinesh Khandelwal, L Venkata Subramaniam, Alfio Gliozzo (IBM Research). (2019). "Translucent Answer Predictions in Multi-Hop Reading Comprehension". Full Research Paper, AAAI-2020 (PIC TOP)
- Akshay Gugnani and Hemant Misra (2019). "Implicit Skills Extraction using Document Embedding and its use in Job Recommendation". CoDS-COMAD 2020 - Research Track
- Prerna Agarwal, Anupama Ray, Ayush Shah, Akshay Gugnani, Priyanka Halli, Gunkirat Kaur, Shubham Atreja, Gargi Dasgupta, Mary Pietrowicz, Elif Eiygoz and Guillermo Cecchi (2019). "Multi-modal web application to Infer Emotional Intelligence of an Adolescent Counsellor". Grace Hopper Conference
- Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf,  Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew R Conn, Alexander Gray (2019). "An ADMM Based Framework for AutoML Pipeline Configuration" AAAI-2020.
- Kuntal Dey with students (2019). "A Hitchhiker’s Guide On Distributed Training Of Deep Neural Networks". Journal of Parallel and Distributed Computing is available for free reading online for next 50 days.

October

- Sumit Bhatia, Bapi Chatterjee, Deepak Nathani and Manohar Kaul (2019)."A Persistent Homology Perspective to the Link Prediction Problem".8th International Conference on Complex Networks
- Pranay Lohia, Kalapriya Kannan, Karan Rai(Microsoft) and Srikanta Bedathur(IIT Delhi) (2019). "Ranking Marginal Influencers in a Target-labeled Network". CODS-COMAD 2020.
- Sambaran Bandyopadhyay, Lokesh Nagalapatti, Saley Vishal Vivek and Narasimha Murty Musti (2019). "Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding". WSDM 2020 (PIC TOP)
- Dushyant Behl, Chander Govindarajan, Vinayaka Pandit, Venkatraman Ramakrishna; (Authors from ARL: Ermyas Abebe, Yining Hu, Dileban Karunamoorty, Christian Vecchiola; Authors from YKT: Petr Novotny.) (2019). "Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer". Middleware Industry Track 2019 (December 9-13). 
- Nishtha Madaan, Kalapriya Kannan, Sameep Mehta,Avneet Kaur(IITD), Maitree Leekha(DTU), Utkarsh Chawla(DTU), Ayush Agarwal(DTU), Mudit Saxena(Shiv Nadar University (2019). "Multidimensional Analysis of Trust in News Articles" AAAI 2020, student submission track.
- Dinesh Khandelwal, Suyash Agrawal, Parag Singla, Chetan Arora (2019). "Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks".
NeurIPS 2019, workshop on Learning with Rich Experience: Integration of Learning Paradigms (PIC Top)

September

- Mohit Jain, Rohun Tripathi, Ishita Bhansali and Pratyush Kuma (2019)."Automatic Generation of Usable and Secure Audio reCAPTCHA".ASSETS (PIC Target)
- Shreya Khare, Rahul A.R , Senthil K Mani (2019). "Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization" Interspeech-2019
- Senthil Nathan, Chander Govindarajan, Adarsh Saraf, Manish Sethi, Praveen Jayachandran (2019). "Blockchain Meets Database: Design and Implementation of a Blockchain Relational Database". VLDB
- Atri Mandal, Shivali Agarwal, Nikhil Malhotra, Giriprasad Sridhara, Anupama Ray, and Daivik Swarup (2019). "Improving IT Support by Enhancing Incident Management Process with Multi-modal Analysis". ICSOC-2019 (full length industry track)
- Prerna Agarwal, Daivik Swarup, Sampath Dechu, Monika Gupta (2019). “Predictive models for Business Process Monitoring using Contextual State Representation”. ICSOC-2019
- Raj Kamal Yadav, Gunjan Singh, Raghava Mutharaju and Sumit Bhatia (2019)."Towards a Concurrent Approximate Description Logic Reasoner". ISWC 2019 (PIC Top)
- Divya (IIT J), Nitin Gupta, Chiranjoy (IIT J), Sameep Mehta(2019). "A Novel Feature Transform Framework Using Deep Neural Network for Multimodal Floor Plan Retrieval". International Journal on Document Analysis and Recognition (IJDAR)

August

- Divya (IIT J), Nitin Gupta, Chiranjoy (IIT J), Sameep Mehta (2019), Title: "A Novel Feature Transform Framework Using Deep Neural Network for Multimodal Floor Plan Retrieval". International Journal on Document Analysis and Recognition (IJDAR)
- Harshit Kumar, Arvind Agarwal and Sachindra Joshi (2019). "A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection". EMNLP 2019 (PIC-TOP)
- Chul Sung, Tejas Dhamecha, Swarnadeep Saha, Tengfei Ma, Vijay Reddy, Rishi Arora (2019). "Pre-Training BERT on Domain Resources for Short Answer Grading". EMNLP 2019 (PIC-TOP)
- Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan(2019). "A Modular Architecture for Unsupervised Sarcasm Generation". EMNLP 2019 (PIC-TOP)
- Prerna Agarwal, Anupama Ray, Ayush Shah, Akshay Gugnani, Shubham Atreja, Gargi Dasgupta (2019). "Multimodal Web Application to Infer Emotional Intelligence of Adolescent Counsellor". GHCI - Karan Dabas (OSCP intern), Nishtha Madan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty (2019). "Fair Transfer of Multiple Style Attributes in Text". GHCI
- Ashima Suvarna(GRM intern), Nishtha Madan, Seema Nagar, Kuntal Dey, Sameep Mehta (2019). "Handling Gender Biases in E Commerce Product Specifications". GHCI
- Abhishek, Amar P Azad, Balaji Ganeshan, Ashish Anand, Amit Awekar (2019). “Collective Learning From Diverse Datasets for Entity Typing in the Wild”. ACM CIKM EYRE 2019 workshop

July

- Mohit Jain, Rohun Tripathi, Ishita Bhansali and Pratyush Kuma (2019)."Automatic Generation of Usable and Secure Audio reCAPTCHA".ASSETS (PIC Target)
- Shreya Khare, Rahul A.R , Senthil K Mani (2019). "Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization" Interspeech-2019
- Senthil Nathan, Chander Govindarajan, Adarsh Saraf, Manish Sethi, Praveen Jayachandran (2019). "Blockchain Meets Database: Design and Implementation of a Blockchain Relational Database". VLDB
- Atri Mandal, Shivali Agarwal, Nikhil Malhotra, Giriprasad Sridhara, Anupama Ray, and Daivik Swarup (2019). "Improving IT Support by Enhancing Incident Management Process with Multi-modal Analysis". ICSOC-2019 (full length industry track)
- Prerna Agarwal, Daivik Swarup, Sampath Dechu, Monika Gupta (2019). “Predictive models for Business Process Monitoring using Contextual State Representation”. ICSOC-2019
- Raj Kamal Yadav, Gunjan Singh, Raghava Mutharaju and Sumit Bhatia (2019)."Towards a Concurrent Approximate Description Logic Reasoner". ISWC 2019 (PIC Top)
- Divya (IIT J), Nitin Gupta, Chiranjoy (IIT J), Sameep Mehta(2019). "A Novel Feature Transform Framework Using Deep Neural Network for Multimodal Floor Plan Retrieval". International Journal on Document Analysis and Recognition (IJDAR)

May

- Best Paper Award : Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia and Tanmoy Chakraborty (2019). "Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees". The ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL)

- Ansari Ghulam Ahmed*, Amrita Saha*, Vishwajeet Kumar, Karthik Sankaranarayanan, Soumen Chakrabarti, Mohan Bhambhani (2019)."Neural Program Induction for KBQA Without Gold Programs or Query Annotations". IJCAI (PIC-TOP)

- Swarnadeep Saha, Malolan Chetlur, Tejas Dhamecha, W M Gayathri K Wijayarathna (NTU), Red Mendoza (NTU) , Paul Gagnon (NTU) , Nabil Zary SG (NTU), and Shantanu Godbole
(2019). "Aligning Learning Outcomes to Learning Resources: A Lexico-Semantic Spatial Approach". IJCAI

- Sai Surya, Abhijit Mishra, Anirban Laha, Parag Jain, Karthik Sankaranarayanan (2019). "Unsupervised Neural Text Simplification" ACL (PIC-TOP)

- Priyanka Agrawal, Parag Jain, Ayushi Dalmia, Abhishek Bansal, Ashish Mittal, Karthik Sankaranarayanan (2019). "Unified Semantic Parsing with Weak Supervision". ACL (PIC-TOP)

- Nishant Somy (intern), Kalapriya Kannan, Vijay Arya, Sandeep Hans, Abhishek Singh, Pranay Lohia, Sameep Mehta (2019). "Ownership preserving AI Market Places using Blockchain". IEEE Blockchain (PIC-TOP)

- Shashank Mujumdar, Nitin Gupta, Abhinav Jain, Douglas Burdick (2019). "Simultaneous Optimisation of Image Quality Improvement and Text Content Extraction from Scanned Documents". ICDAR

- Aniya Aggarwal, Pranay Lohia, Seema Nagar, Kuntal Dey & Diptikalyan Saha (2019). "Black Box Fairness Testing of Machine Learning Models". FSE

- Sneha Mondal (IRL), Tejas Dhamecha (IRL), Malolan Chetlur (IRL), Gayathri Wijayarathna (NTU), Red Mendoza (NTU), Smriti Pathak (NTU/Imperial College), Shantanu Godbole (IRL). (2019). ”Learning Outcomes and their Relatedness in a Medical Curriculum". BEA14 (Workshop on Innovative Use of NLP for Building Educational Applications, co-located with ACL 2019)

- Ayush Shah, Tamer Abuelsaad, Jae-Wook Ahn, Prasenjit Dey, Ravi Kokku, Ruhi Sharma Mittal, Aditya Vempaty and Mourvi Sharma (2019) "Content Customization for Micro Learning using Human Augmented AI Techniques". BEA14 (Workshop on Innovative Use of NLP for Building Educational Applications, co-located with ACL 2019)

- Tanmayee Narendra, Prerna Agarwal, Monika Gupta, Sampath Dechu, Counterfactual Reasoning for Process Optimization using Structural Causal Models, BPM Forum 2019.

April

- Balaji Ganesan, Kalapriya Kannan, Berthold Reinwald, Vijay Arya, Ali Khanafer, Ansu Varghese, Aradhana Patil, S K Saqlain Mustaq, Arnab K Laha, Kush Varshney (2019). "D’Avatar - Reincarnation of Personal Data Entities in Unstructured Text Datasets". Challenge Proposal accepted at AMLD 2020

- Workshop Organized by Amrita Saha, Hui Wu (IBM Research), Adriana I. Kovashka (University of Pittsburg), Andrei Barbu (CSAI, MIT), Xiaoxiao Guo (IBM Research), Karthik Sankaranarayanan, Samarth Bharadwaj, Soumen Chakrabarti (IIT Bombay), Rogerio Feris (IBM Research) (2019). "Linguistics Meets Image and Video Retrieval". in ICCV 2019 (PIC-TOP)

- Kamal Das, Jitendra Singh & Jagabondhu Hazra (2019). "Comparision of SMAP, GLDAS and simulated soil moisture datasets over a malasian region". IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

- Kalyan Dasgupta, Kamal Das & Manikandan Padmanaban (2019). "Soil moisture evaluation using machine learning techniques on synthetic aperture radar (SAR) and land surface model". IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

- Ranjini B Guruprasad, Saurav Kumar, Sukanya Randhawa (2019). "Machine learning methodologies for paddy yield estimation in India : a case study". IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

- Sukanya Randhawa, Jitendra Singh, Jagabondhu Hazra (2019). "Towards a ML based global crop identification model using limited SAR data - that is scalable across data-sparse geographies" IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

- Jitendra Singh, Aniruddha Mahapatra, Saurav Basu, Biplab Banerjee (2019). "Assessment of Sentinel-1 and sentinel-2 satellite imagery for crop classification in Indian region during Kharif and Rabi crop cycles" IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

- Munira Syed (Univ. of Notre Dame), *Malolan Chetlur, Shazia Afzal,* G. Alex Ambrose (Univ. of Notre Dame) and Nitesh V. Chawla (Univ. of Notre Dame) (2019). "Implicit and Explicit Emotions in MOOCs". Educational Data Mining (EDM)

- Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas Raykar (2019). "Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space". ACM International Conference on Multimedia Retrieval, ICMR

- Dwaipayan Roy, Sumit Bhatia, Mandar Mitra (2019). "Selecting Discriminative Terms for Information Retrieval", Short paper at SIGIR.

- Venkat Chakaravarthy, Shivmaran Pandian, Saurabh Raje, Yogish Sabharwal (2019) "On optimizing distributed Tucker decomposition". ICS

March

  - Sumit Bhatia (2019). "Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees". JCDL

  - Jaydeep Sen, Ashish Mittal, Manasa Jammi, Diptikalyan Saha, Karthik Sankaranarayanan, Fatma Özcan, Abdul Quamar, Chuan Lei, Greg Stager (2019). "Natural Language Querying of Complex Business Intelligence Queries". SIGMOD

  - Amrita Saha, Ghulam Ahmed Ansari, Abhishek Laddha, Karthik Sankaranarayanan, Soumen Chakrabarti (2019). "Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs". Journal paper accepted at TACL (Jan 2019), selected for oral presentation at NAACL.

  - Kshiteej Sheth, Dinesh Garg, Anirban Dasgupta (2019) "Improved Linear Embeddings via Lagrange Duality", Machine Learning Journal, Vol. 108, No. 4, pp. 575-594, 2019.

  - Chul Sung, Tejas Indulal Dhamecha, Nirmal Mukhi (2019). "Improving Short Answer Grading by Transformer-based Pre-Training" International Conference on Artificial Intelligence in Education (AIED)

February

  - Danish Contractor, Dinesh Raghu, Sachindra Joshi (2019). "Multi-Level Memory for Task Oriented Dialogs". NAACL-HLT '19

  - Dinesh Raghu (2019). "Disentangling Language and Knowledge in Task Oriented Dialogs". NAACL-HLT 2019 - Arvind Agrawal, Srikanth Tamilselvam, Arun Kumar, Prof. Aparna Gupta, RPI (2019). "Learning Risk Culture of Banks using News Analytics". European Journal of Operational Research

  - Shazia Afzal, Tejas Dhamecha, Nirmal Mukhi, Renuka Sindhgatta (Queensland University of Technology), Smit Marvaniya, Matthew Ventura (Pearson) and Jessica Yarbro (Pearson) (2019). "Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System" Industry Track of NAACL HLT 2019

  - Shivika Narang (IISc), Megha Byali (IISc), Pankaj Dayama, Vinayaka Pandit, Y Narahari (IISc) (2019). "Design of Trusted B2B Market Platforms using Permissioned Blockchains and Game Theory". IEEE ICBC 2019.

  - Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Nitin Gupta, Sameep Mehta, Chiranjoy Chattopadhyay (2019). "Radial loss for learning fine-grained video similarity metric". ICASSP 2019

  - Nitin Gupta, Shashank Mujumdar, Prerna Agarwal, Abhinav Jain, Sameep Mehta (2019). "Learning Convulutional neural networks with deep part embedding". ICASSP 2019

  - Danda Sai Koti Reddy, Amrita Saha, Srikanth G Tamilselvam, Priyanka Agrawal, Pankaj Dayama (2019). “Risk Averse Reinforcement Learning for Mixed Multi-agent Environments”, AAMAS 2019

  - Prerna Agarwal, Anupama Ray, Shubham Atreja, Gargi Dasgupta (2019). “Multi-modal Analysis to Infer Emotional Intelligence of an Adolescent Counsellor” poster presented in NeurIPS WiML 2018.

January, 2019

Best Paper Award in industrial Track - Neelamadhav Gantayat, Diptikalyan Saha, Jaydeep Sen, Senthil Mani (2019). "Goal-based Ontology Creation for Natural Language Querying in SAP-ERP Platform". CODS-COMAD'19- Shanu Kumar, Shubham Atreja, Anjali Singh and Mohit Jain (2019). "Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues". WWW / TheWebConf 2019

- Rohith D Vallam, Sarthak Ahuja, Surya Shravan Kumar Sajja, Ritwik Chaudhuri, Rakesh R Pimplikar, Kushal Mukherjee, Ramasuri Narayanam, Gyana Parija (2019). "Dynamic Particle Allocation to Solve Interactive POMDP Models for Social Decision Making" AAMAS 2019

- Rohith D Vallam, Ramasuri Narayanam, Srikanth Tamilselvam, Nicholas Mattei, Sudhanshu Singh, Shweta Garg, Gyana Parija (2019). "DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding". AAMAS 2019

- Ritwik Chaudhuri, Kushal Mukherjee, Ramasuri Narayanam, Ayush Kumar, Antriksh Mathur, Rohith D Vallam, Shweta Garg, Sudhanshu Singh, Gyana Parija (2019). "Collaborative Reinforcement Learning Model for Sustainability of Cooperation in Sequential Social Dilemmas" AAMAS 2019

- Danda Sai Koti Reddy, Amrita Saha*, Srikanth G Tamilselvam, Priyanka Agrawal, Pankaj Dayama, "Risk Averse Reinforcement Learning for Mixed Multi-agent Environments", AAMAS 2019

- Raghuram Bharadwaj D., Danda Sai Koti Reddy, Prabuchandran K.J and Shalabh Bhatnagar, “Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning”, AAMAS 2019.

December, 2018

- Justin D. Weisz, Mohit Jain, Narendra Nath Joshi, James Johnson, and Ingrid Lange (2018). "BigBlueBot: Teaching Strategies for Successful Human-Agent Interactions". IUI 2019 (PIC TOP) ACM International Conference on Intelligent User Interfaces<\p>

November, 2018

- Best Paper Award - Sumit Bhatia (2018). "That's Interesting, Tell Me More! Finding Descriptive Support Passages for Explaining Knowledge Graph Relationships". ISWC 2018

- 2nd prize at the Poster Presentation at GHCI 2018 - Nishtha Madaan, Gautam Singh, Sameep Mehta, Aditya Chetan and Brihi Joshi (IIIT Delhi) (2018)Poster "Generating Clues for Gender based Occupational Debiasing in Text"

- Deployed Application Award - Atri Mandal, Nikhil, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara (2018). "Automated dispatch of helpdesk email tickets: Pushing the limits with AI". IAAI 2019

- Parag Jain, Abhijit Mishra, Amar P. Azad, Karthik Sankaranarayanan (2018) "Unsupervised Controllable Text Formalization". AAAI 2019- Arpan Losalka, Partha Ghosh (MPI), Michael Black (MPI)(2018) "Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders". AAAI 2019

- Sneha Mondal, Akshay Gugnani, Renuka Sindhgatta (2018). "Khan Academy: A Social Networking and Community Q&A Perspective". EAAI (Educational Advances in Artificial Intelligence) 2019

- Anjali Singh, Ruhi Sharma Mittal, Shubham Atreja, Mourvi Sharma, Seema Nagar, Prasenjit Dey and Mohit Jain (2018). "Automatic Generation of Leveled Visual Assessments for Young Learners". EAAI (Educational Advances in Artificial Intelligence) 2019

- Smit Marvaniya, Vismay Patel, Niranjan Mujumdar, Prashanth Balasubramanian and Anurag Mittal (IIT Madras) (2018). "Data Augmentation using Part Analysis for Shape Classification". IEEE Winter Conference on Application of Computer Vision, 2019

- Shubham Atreja, Pooja Aggarwal, Prateeti Mohapatra, Anjali Singh, Shanu Kumar (IIT Kanpur), Amol Dumrewal (IIT Madras), Anwesh Basu (UT Austin)
(2018). “Citicafe: An Interactive Interface for Citizen Engagement”. Demo accepted at ICTD X

- Shazia Afzal, Bryan Dempsey, Cassius D’Helon, Nirmal Mukhi, Milena Pribic, Aaron Sickler, Peggy Strong, Mira Vanchiswar, Lorin Wilde (2018). "The Personality of AI Systems in Education". Journal of Childhood Education: Innovations, 2019

- Sandeep Hans, Mohamed M. Saad (Alexandria University), Masoomeh Javidi Kishi, Shihao Jing, Roberto Palmieri (Lehigh University). (2018)."Processing Transactions in a Predefined Order". PPoPP'19 (PIC Top)

- Sambaran Bandyopadhyay, Lokesh N, M Narasimha Murty (2018). "Outlier Aware Network Embedding for Attributed Networks". AAAI 2019 (PIC TOP)

October, 2018

- Book Chapter - Garima Chhikara (IIIT Delhi), Ruchika Banerjee (IIIT Delhi), Vinayak Naik (BITS Pilani Goa), A V Subramanyam (IIIT Delhi) and Kuntal Dey (2018). "Use of Facial Landmarks for Adaptive Compression of Videos on Mobile Devices." LNCS Proceedings on COMSNETS 2018 Highlights. Springer

- Akshay Gugnani, Vinay K Reddy, Karthikeyan Ponnalagu (2018). "Generating Unified Candidate Skill Graph for Career Path Recommendation". Workshop on ML for Education at ICDM-2018

- Sneha Mondal, Akshay Gugnani, Renuka Sindhgatta (2018)."Khan Academy: A Social Networking and Community Question Answering Perspective". Workshop on ML for Education at ICDM-2018.

- Kuntal Dey, Ritvik Shrivastava (Columbia University), Saroj Kaushik (IIT Delhi) and Kritika Garg (intern at IIT Delhi) (2018)."Assessing Topical Homophily on Twitter". Complex Networks 2018.

- Kuntal Dey, Saroj Kaushik (IIT Delhi), Kritika Garg (intern at IIT Delhi) and Ritvik Shrivastava (Columbia University) (2018). "A Socio-Temporal Hashtag Recommendation System for Twitter". Complex Networks 2018

- Kuntal Dey, Hemank Lamba (CMU), Seema Nagar, Shubham Gupta (IIIT Delhi) and Saroj Kaushik (IIT Delhi) (2018). "Modeling Topical Information Diffusion over Microblog Networks". Complex Networks 2018

- Manish Kesarwani, Akshar Kaul, Gagandeep Singh, Prasad M. Deshpande and Jayant R. Haritsa (2018). "Collusion-Resistant Processing of SQL Range Predicates". Data Science and Engineering Journal

- Sumit Bhatia and Deepak P (2018). "Specific Sentiment Analysis Can Help Identify Political Ideology". 9th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA), in conjunction with EMNLP(2018)

- Seep Goel, Abhishek Singh, Mudit Verma, Rachit (intern) and Praveen Jayachandran (2018). "Resource Fairness and Prioritization of Transactions in Permissioned Blockchain Systems". Middleware 2018.

- Palanivel Kodeswaran and Sayandeep Sen (2018). "TSF An Integrated Approach for Event Segmentation and ADL Detection in IoT enabled Smarthomes". IEEE Transactions of Mobile Computing.

- Senthil Mani, Anush Sankaran, and Rahul Aralikatte (2018). “DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging”. CoDS-COMAD 2019.

- Neelamadhav Gantayat, Jaydeep, Diptilayan Saha and SenthilMani (2018). “Goal-based Ontology Creation for NLQ in SAP-ERP Platform”. CoDS-COMAD Industrial Track, 2019.

- Divya Sharma (IIT J), Nitin Gupta, Chiranjoy C (IIT J), Sameep Mehta (2018). "REXplore: A Sketch based Interactive Explorer for Real Estates using Building Floor Plan Images". 20th IEEE International Symposium on Multimedia

September, 2018

- Anirban Laha, Saneem Ahmed, Priyanka Agrawal, Karthik Sankaranarayanan. Mitesh Khapra (IITM), Harish Guruprasad (IITM) (2018). "On Controllable Sparse Alternatives to Softmax". NIPS 2018

- Shrihari Vasudevan (IRL), Moninder Singh (WRC), Joydeep Mondal (former IRL), Michael Peran (IBM CAO), Benjamin Zweig (former CAO/IBM), Brian Johnston (CAO) and Rachel M. Rosenfeld (CAO) (2018). "Estimating fungibility between skills by combining skill-similarities obtained from multiple data sources". Journal of Data Science and Engineering.

- Manish K, Vijay Arya and Sameep Mehta (2018). "Model Extraction Warning in MLaaS Paradigm".  ACSAC 2018 (PIC TOP)

    Rajdeep Mukherjee (IIT KGP), Dipyaman Banerjee, Kuntal Dey, Niloy Ganguly (IIT KGP) (2018). "Bird Audio Detection using Deep Convolutional Recurrent Neural Networks" DCASE) 2018

- 7th Rank in the Bird Audio Detection Challenge at Detection and Classification of Acoustic Scenes and Events (DCASE) 2018 with accompanying Poster

- Sukrit Kalra, Rishabh Sanghi and Mohan Dhawan (2018). "Blockchain-based Real-time Cheat Prevention and Robustness for Multi-player Online Games" CoNEXT'18.

August, 2018

- Anjali Singh, Niladri Chatterjee (IIT Delhi) (2018). "Unsupervised Graph-based Discourse Planning and Generation". Journal - IETE Technical Review 

- Sumit Bhatia, Srikanta, Debasis.(2018). "Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance". CIKM  2018 (Short Paper)

- Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani (2018). "Sanskrit Sandhi Splitting using seq2(seq)^2" accepted at EMNLP 2018. (Short Paper). 

- Kuntal Dey (IRL), Saroj Kaushik (IIT Delhi), Kritka Garg (IIT Delhi), Ritvik Shrivastava (IIT Delhi) (2018). "Assessing the Role of Participants in Evolution of Topic Lifecycles on Social Networks".  Computational Social Networks (non-PIC Journal)

- Smit Marvaniya, Swarnadeep Saha, Tejas Dhamecha, Peter Foltz, Renuka Sindhgatta and Bikram Sengupta  (2018). "Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading".  CIKM 2018

- Arnab Bhattacharyya, Suprovat Ghoshal and Rishi Saket (2018), "Hardness of Learning Noisy Halfspaces using Polynomial Thresholds", Conference on Learning Theory (COLT) 2018.

- Chandramouli K., Prabuchandran K.J, D. Sai Koti Reddy and Shalabh Bhatnagar (2018). "Generalized Deterministic Perturbations For Simultaneous Perturbation Methods", 57th IEEE Conference on Decision and Control (CDC)

- Raghuram Bharadwaj D., D. Sai Koti Reddy, Krishnasuri Narayanam and Shalabh Bhatnagar (2018), "A unified decision making framework for supply and demand management in microgrid networks", IEEE International Conference on Smart Grid Communications.

July, 2018

- Hima Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez Muro, Ryan Musa and Michael Witbrock. (2018)  "Scalable Reasoning Infrastructure for Large Scale Knowledge Bases".  ISWC 2018 (Poster Track)

- Atri Mandal, Shivali Agarwal, Anupama Ray, Giriprasad Sridhara , Nikhil (2018). "Cognitive system to achieve human-level accuracy in automated assignment of helpdesk email tickets" (Short paper, Industry track). ICSOC 2018 

- Neelamadhav Gantayat, Giriprasad Sridhara, Anush Sankaran, Sampath Dechu, Senthil Kk Mani, Gargi B Dasgupta (2018). "Towards Creating Business Process Models from Images" (Short paper, Research Track). ICSOC 2018

- Tarun Tater, Sampath Dechu, Senthil Kk Mani, Chandresh K Maurya,  (2018) "Prediction of Invoice Payment Status in Account Payable Business Process" (Full paper, Industry track). ICSOC 2018. 

- Prateeti Mohapatra, Abhirut Gupta, Gargi B Dasgupta, Pooja Aggarwal (2018). "Domain Knowledge Driven Key Term Extraction for IT Services" (Full paper, Industry Track). ICSOC 2018.

- Monika Gupta, Atri Mandal, Gargi Dasgupta, Alexander Serebrenik (2018). "Runtime Monitoring in Continuous Deployment by Differencing Execution Behaviour Models" (Full paper, Research track). ICSOC 2018. 

- Sumanta Mukherjee, Krishnasuri Narayanam, Amith Singhee, Francisco Barahona, Joao Goncalves (2018). "Fast and stochastic optimal resource planning for electric  grids in emergencies  ". EURO2018.

June, 2018

- Anush Sankaran, Mayank Vatsa, Richa Singh (2018). "Intuition Learning". Joint IJCAI/ECAI/AAMAS/ICML Workshop on Domain Adaptation for Visual Understanding 2018. 

- Saksham Suri, Anush Sankaran, Mayank Vatsa, Richa Singh (2018). “On Matching Faces with Alterations due to Plastic Surgery and Disguise”. 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018)

- Sumit Bhatia (2018).  "That’s Interesting, Tell Me More! Finding Descriptive Support Passages for Knowledge Graph Relationships". ISWC 2018

- Jee Choi (Watson), Xing Liu (Watson), Venkat Chakaravarthy (2018). "High-performance Dense Tucker Decomposition on GPU Clusters". SC 2018

- Harshit Kumar, Arvind Agarwal, Sachindra Joshi (2018). "Dialogue Act Driven Conversation Model: An Experimental Study". COLING 2018

May, 2018

- Abhirut Gupta, Anupama Ray, Gargi Dasgupta, Gautam Singh, Pooja Agarwal, Prateeti Mohapatra (2018). "Semantic Parsing for Technical Support Questions". COLING 2018. 

- Sambaran Bandyopadhyay, Digbalay Bose, Jagabondhu Hazra  (2018). "A Parameter Fusion Technique to Estimate Soil Moisture from Remote Satellite Data". SIGMETRICS 2018

- Swarnadeep Saha, Mausam (IIT Delhi) (2018), "Open Information Extraction from Conjunctive Sentences". COLING 2018

- Abhirut Gupta, Anupama Ray, Gargi Dasgupta, Gautam Singh, Pooja Agarwal, Prateeti Mohapatra (2018). "Semantic Parsing for Technical Support Questions”. COLING 2018. 

-  Harshit Kumar, Arvind Agarwal, Sachindra Joshi (2018). "Dialogue Act Driven Conversation Model: An Experimental Study". COLING 2018

- Kamal Das, Jitendra Singh, Jagabondhu Hazra (2018). "Development of a High Resolution Soil Moisture for Precision Agriculture in India". ICPA2018

- Kamal Das, Jitendra Singh, Jagabondhu Hazra, Shivkumar Kalyanaraman (2018). "Evaluation of land surface model against SMAP and in-situ observations for Indian region". IGARSS 2018

- Jitendra Singh, Umamaheswari Devi, Jagabondhu Hazra, Shivkumar Kalyanaraman (2018). "Crop-Identification using Sentinel-1 and Sentinel-2 Data for Indian Region". IGARSS 2018

- Kumar Saurav, Mohit Jain, Sambaran Bandyopadhyay (2018). "Reducing Energy Consumption for Space Heating by Changing Zone Temperature: Pilot Study in Lulea, Sweden". E-energy 2018

- Mohit Jain, Megha Nawhal, Sampath Dechu, Saicharan Duppati (2018). "MobiCeil: Cost-Free Indoor Localizer for Office Buildings", MobileHCI 2018

- Sambaran Bandyopadhyay*, Ramasuri Narayanam, Narasimha Murty Musti. "A Generic Axiomatic Characterization for Measuring Influence in Social Networks", ICPR 2018

-  Sambaran Bandyopadhyay*, Sharad Nandanwar, Rishabh Deshmukh, Narasimha Murty Musti (2018). "DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups". ICPR 2018

- Venkat Chakravarthy, Yogish Sabharwal, Shivmaran S. (2018). "Improved Distributed Algorithm for Graph Truss Decomposition". EuroPar

- Abhishek Bansal, Abhinav Anand (IISc), Chiranjib Bhattacharyya (IISc) (2018. "Using Inherent structures to design lean 2-layer RBMs”. ICML 2018

May- Harshit Kumar, Arvind Agarwal, Sachindra Joshi (2018). "Dialogue Act Driven Conversation Model: An Experimental Study". COLING 2018 

April, 2018

-  Abhishek Laddha, Salil Joshi, Samiulla Shaikh and Sameep Mehta (2018) "Joint Distributed Representation of Text and Structure of Semi-Structured Documents" ACM Hypertext - 2018

-  Kuntal Dey (2018). "EyeSpyVR: Eye Sensing using Commodity Smartphone-Based VR Headsets".Ubicomp 2018

-  Nitin Gupta, Abhinav Jain, Prerna Agarwal, Shashank Mujumdar, Sameep Mehta (2018) "Pentuplet Loss for Simultaneous Shots and Critical Points Detection in a Video" ICPR 2018

-  Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher Butler and Mukesh Mohania (2018). "Document Chunking and Learning Objective Generation for Instruction Design" Educational Data Mining (EDM)

-  Tejas I. Dhamecha, Smit Marvaniya and Shazia Afzal (2018). "Dialogue-based tutoring at scale: Design and Challenges" International Conference of the Learning Sciences (ICLS)

-  Malolan Chetlur  (2018). "Automatic Annotation of Voice Forum Content for Rural Users and Evaluation of Relevance".  ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS 觖)

-  Shravan Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, Marnik Vermeulen (2018). ":Enterprise scale privacy aware occupancy sensing" IEEE EDGE 2018 

-   Ruhi Sharma Mittal, Seema Nagar, Mourvi Sharma, Utkarsh Dwivedi, Prasenjit Dey and Ravi Kokku (2018) "Auto Generation of Multi-Dimensional Vocabulary Assessments for Young Learners" Educational Data Mining 2018

-   Nishtha Madaan, Shashank Mujumdar, Santosh Srivastava, Ankush Gupta, Srikanth Tamilselvam, Arun Kumar and Qinlong Luo (2018). "A System for Predicting Health of an e-Contract" IEEE SCC 2018

-   Nishtha Madaan, Gautam Singh, Srikanta Bedathur and Arun Kumar (2018). "DeepANTARA : A Change Tracking Framework for Financial Documents" IEEE SCC 2018

-   Gagandeep Singh, Akshar Kaul, Sameep Mehta (2018) "Secure k-NN as a Service Over Encrypted Data in Multi-User Setting" IEEE CLOUD 2018

-   Himanshu Gupta, Sandeep Hans, Sameep Mehta, Praveen Jayachandran (2018)."On Building Efficient Temporal Indexes on Hyperledger Fabric" IEEE CLOUD 2018

-   Dinesh Raghu (2018). "Inferring Temporal Knowledge for Near-Periodic Recurrent Events" IJCAI

-   Nitin Gupta, Shashank Majumdar, Suranjana Samanta and Sameep Mehta (2018) "Learning an Order Preserving Image Similarity Through Deep Ranking" ICPR

-  Jaydeep Sen, Ashish Mittal, Diptikalyan Saha, Karthik Sankaranarayanan (2018). "Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems". IJCAI

-  Amrita Saha, Rahul Aralikatte, Karthik Sankaranarayanan (2018). "DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension". ACL

-  Gaurav Pandey, Danish Contractor, Vineet Kumar, Sachindra Joshi (2018). "Exemplar Encoder-Decoder for Neural Conversation Generation". ACL

-  Venkat Chakravarthy, Yogish Sabharwal, Shivmaran S. (2018). "Improved Distributed Algorithm for Graph Truss Decomposition" EuroPar'18

-  Manish Kataria, Ritwik Chaudhari, Ramasuri Narayanam, Rohith Vallam, Gyana Parija (2018). "Collaborative Cognition for Commodity Price Prediction". JSM 2018 

-  Abhinav Jain, Nitin Gupta, Shashank Mujumdar, Sameep Mehta, Rishi Madhok (2018) "Content Driven Enrichment of Formal Text Using Concept Definitions and Applications", HyperText 2018 

-  Sumit Bhatia, Harit Vishwakarma. "Know Thy Neighbors, and More! Studying the Role of Context in Entity Recommendation". HyperText 2018 

-  Ritwik Chaudhuri, Ramasuri Narayanam, Manish Kataria, Rohith Vallam and Gyana Parija (2018).  "Collaborative Cognition for Commodity Price Prediction". Joint Statistical Meeting (JSM)

- Venkat Chakravarthy, Yogish Sabharwal, Dheeraj Sreedhar, Shivmaran S. (2018) "On optimizing distributed Tucker decomposition for sparse tensors". ICS 2018

March, 2018

- Shazia Afzal, Vinay Shashidhar, Bikram Sengupta and Renuka Sindgatta (2018). “Impact of Tutor Errors on Student Engagement in a Dialog Based Intelligent Tutoring System”. Intelligent Tutoring Systems (ITS) 

- Rema A, Pranay Lohia and Srikanta Bedathur (2018). "DataVizard: Recommending Visual Presentations for Structured Data".WebDB.

- Joydeep Mondal, Sarthak Ahuja, Kushal Mukherjee, Sudhanshu Singh and Gyana Parija (2018) "Benchmarking of a Novel POS Tagging Based Semantic Similarity Approach for Job Description Similarity Computation". ESWC 

- Mohit Jain, Pratyush Kumar, Ramachandra Kota and Shwetak Patel (2018). "Evaluating and Informing the Design of Chatbots" . ACM DIS 2018 (Designing Interactive Systems)

- Swarnadeep Saha, Smit Marvaniya, Tejas Dhamecha, Renuka Sindhgatta, Bikram Sengupta (2018). "Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both". Artificial Intelligence in Education (AIED)

- Tejas Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta, Bikram Sengupta (2018). "Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-based Tutors". Artificial Intelligence in Education (AIED)

- Prerna Agarwal (2018). "DyPerm: Maximizing Permanence for Dynamic Community Detection”. PAKDD 2018

- Article by Bikram Sengupta, on "Using cognitive insights to navigate and extract value from the sea of data will give your organisation a competitive advantage"  Firstpost 

- Article by Bikram Sengupta on "Cognitive education: The journey towards personalized learning", CIO

February, 2018

- Parag Jain, Anirban Laha, Karthik Sankararanarayanan.(2018). "A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization". NAACL-HLT

- Ashish Mittal, Jaydeep Sen, Diptikalyan Saha, Karthik Sankararanarayanan (2018). "An Ontology based Dialog Interface to Database". SIGMOD 2018

- Parag Jain, Anirban Laha, Karthik Sankaranarayanan (2018) “Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization”, NAACL-HLT  

- Hagit Attiya, Alexey Gotsman, Sandeep Hans, Noam Rinetzky (2018). "Characterizing Transactional Memory Consistency Conditions Using Observational Refinement".  Journal of the ACM (JACM)  Volume 65 Issue 1, January 2018

- Manish Kesarwani, Akshar Kaul, Gagandeep Singh, Prasad Deshpande, Jayant Haritsa (2018). "Collusion-Resistant Processing of SQL Range Predicates". DASFAA 2018

- Prerna Agarwal (2018). "DyPerm: Maximizing Permanence for Dynamic Community Detection”. PAKDD 2018

- Honorable Mention Award - Mohit Jain (2018) "Seismo: Blood Pressure Monitoring using Built-in Smartphone Accelerometer and Camera" CHI 2018

- Best Deployed AI System Award - Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte, Monika Gupta, Sampath Dechu, Anush Sankaran, Shreya Khare, Barry Mitchell, - Hemamalini Subramanian, Hema Venkatarangan (2018), "Hi, how can I help you?: Automating enterprise IT support help desks"  IBM Automation Platform and solutions to Industry Track of AAAI - 2018

January, 2018

-  Anupama Aggarwal, Bimal Viswanath, Liang Zhang, Saravana Kumar, Ayush Shah, Ponnurangam Kumaraguru (2018)  "I Spy with My Little Eye: Analysis and Detection of Spying Browser Extensions" IEEE EuroS&P

 - Sethuramalingam Subramaniam, Pooja Aggarwal, Gargi B Dasgupta, Amit Paradkar (2018) “COBOTS  A Cognitive MultiBot Conversational Framework for Technical Support”AAMAS 2018

 - Shubham Atreja, Pooja Aggarwal, Prateeti Mohapatra, Amol Dumrewal, Anwesh Basu, Gargi B. Dasgupta  (2018) “Citicafe: Interactive Platform for Citizen Engagement”IUI 2018

- Anup Agarwal, Mohit Jain, Pratyush Kumar, Shwetak Patel (2018) "Opportunistic Sensing with Mic Arrays on Smart Speakers for Distal Interaction and Exercise Tracking" In Proceedings of IEEE International Conference on Acoustics, Speech and Signal ProcessProceedings of IEEE International Conference on Acoustics, Speech and Signal Process

 - S. Mehta, A. P. Azad, S. A Chemmengath, V. Raykar, S. Kalyanraman (2018) "DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels" WACV 2018

 - Kumar Saurav, Sambaran Bandyopadhyay, Pratyush Kumar, Vijay Arya (2018) "Algorithm to Control Power Production from Solar Photovoltaic Panels" ISGT 2018

 - Sambaran Bandyopadhyay, Jagabondhu Hazra, Shivkumar Kalyanaraman (2018). "A Machine Learning Based Heating and Cooling Load Forecasting Approach for DHC Networks" ISGT 2018

 - Tejas Damecha, M. Shah, P. Verma, R. Singh, M. Vatsa (2018) "CrowdFaceDB: Database and Benchmarking for Face Verification in Crowd" Pattern Recognition Letters

 - Smit Marvaniya, Raj Gupta, and Anurag Mittal (2018) "Adaptive Locally AffineInvariant Shape Matching".Journal of Machine Vision and Application (MVA)

 - Vitobha Munigala, Abhijit Mishra, Srikanth Govindaraj Tamilselvam, Shreya Khare, Riddhiman Dasgupta and Anush Sankaran (2018). "PersuaAIDE ! An Adaptive Persuasive Text Generation System for Fashion Domain" WWW 2018

- Himanshu Gupta, Sandeep Hans, Kushagra Aggarwal, Sameep Mehta, Bapi Chatterjee , Praveen Jayachandran (2018). "Efficiently Processing Temporal Queries on Hyperledger Fabric" ICDE 2018 

- Srikanta B Jagannath (2018) "Sampling and Reconstruction Using Bloom Filters" TKDE 2018

- Manish Kesarwani, Akshar kaul, @Gandeep singh, Prasad Naldurg (2018)"Efficient Secure kNearest Neighbours over Encrypted Data" EDBT 2018

- Suranjana Samanta and Sameep Mehta (2018)  "Generating Adversarial Text Samples" ECIR 2018

- Shubham Bhardwaj, Neelamadhav Gantayat, Rahul Garg, Sumeet Agarwal (2018). “SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools”LREC 2018