Mu Qiao  Mu Qiao photo         

contact information

Research Group Leader, Master Inventor, Member of IBM Academy of Technology
Almaden Research Center, San Jose, CA, USA
  +1dash408dash927dash1744

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Professional Associations

Professional Associations:  ACM  |  IEEE


2021

Towards a New Science of Disinformation
Claudio S. Pinhanez, German H. Flores, Marisa A. Vasconcelos, Mu Qiao, Nick Linck, Rogerio de Paula, Yuya J. Ong,
arXiv:2204.01489 [cs.CY;cs.AI], 2021


2020

Temporal Tensor Transformation Network for Multivariate Time Series Prediction
Yuya J. Ong, Mu Qiao, Divyesh Jadav,
The IEEE International Conference on Big Data (BigData), 2020


2019

Diagnosis of Neural Network via Backward Deduction
Peifeng Yin, Lei Huang, Sunhwan Lee, Mu Qiao, Shubhi Asthana, Tagiga Nakamura,
The IEEE International Conference on Big Data (BigData), 2019

Collaborative Cloud-Edge Computation for Personalized Driving Behavior Modeling
Xingzhou Zhang, Mu Qiao, Liangkai Liu, Yunfei Xu, Weisong Shi,
The ACM/IEEE Symposium on Edge Computing (SEC), 2019


2018

Large Scale Predictive Analytics for Hard Disk Remaining Useful Life Estimation
Preethi Anantharaman, Mu Qiao, Divyesh Jadav,
The IEEE BigData Congress, 2018

SafeShareRide: Edge-based Attack Detection in Ridesharing Services
Liangkai Liu, Xingzhou Zhang, Mu Qiao, Weisong Shi,
The ACM/IEEE Symposium on Edge Computing (SEC), 2018

SafeShareRide: Edge-based Attack Detection in Ridesharing Services
Liangkai Liu, Xingzhou Zhang, Mu Qiao, Weisong Shi,
the USENIX Workshop on Hot Topics in Edge Computing (HotEdge), Co-located with USENIX ATC, 2018

StackInsights: Cognitive Learning for Hybrid Cloud Readiness
Mu Qiao, Luis Bathen, Simon-Pierre Genot, Sunhwan Lee, Ramani R. Routray,
The IEEE International Conference on Cloud Computing (CLOUD), 2018


2017

Context-aware Data Loss Prevention for Cloud Storage Services
Yuya J. Ong, Mu Qiao, Ramani Routray, R., Roger Raphael,
The IEEE International Conference on Cloud Computing (CLOUD), 2017


2016

H2O: A Hybrid and Hierarchical Outlier Detection Method for Large Scale Data Protection
Quan Zhang, Mu Qiao, Ramani R. Routray, Weisong Shi,
The IEEE International Conference on Big Data (BigData), pp. 1120-1129, 2016

Predicting Perceived Brand Personality with Social Media
Anbang Xu, Haibin Liu, Liang Gou, Rama Akkiraju, Jalal Mahmud, Vibha Sinha, Yuheng Hu, Mu Qiao,
The AAAI International Conference on Weblogs and Social Media (ICWSM), 2016

RFPCog: Linguistic-based Identification and Mapping of Service Requirements in Request for Proposals (RFPs) to IT Service Solutions
Hamid R. Motahari-Nezhad, Juan M. Cappi, Taiga Nakamura, Mu Qiao,
The 49th Hawaii International Conference on System Sciences (HICSS), pp. 1691-1700, 2016
Best Paper Award Nomination

Distance-based Mixture Modeling for Classification via Hypothetical Local Mapping
Mu Qiao, Jia Li,
Statistical Analysis and Data Mining: The ASA Data Science Journal, 9(1), 43-57, 2016


2015

Supporting IT Service Information Management with Knowledge Graph
Mu Qiao, Taiga Nakamura, Monika Gupta, Costel Crihana, Shachi Sharma,
The 24th Annual Frontiers in Service Conference, 2015


2014

A Machine Learning Approach to Combining Individual Strength and Team Features for Team Recommendation
Haibin Liu, Mu Qiao, Daniel B. Greenia, Rama Akkiraju, Stephen Dill, Taiga Nakamura, Yang Song, Hamid R. Motahari-Nezhad,
The 13th International Conference on Machine Learning and Applications (ICMLA), pp. 213 - 218, 2014

A Win Prediction Model for IT Outsourcing Bids
Daniel B. Greenia, Mu Qiao, Rama Akkiraju,
Service Research and Innovation Institute (SRII) Global Conference, pp. 39-42, 2014


2013


A Case Management Approach to Serve Information Needs In Knowledge Intensive Processes
Debdoot Mukherjee, Jeanette Blomberg, Rama Akkiraju, Dinesh Raghu, Monika Gupta, Mu Qiao, Sugata Ghosal, Taiga Nakamura,
The 11th International Conference on Service Oriented Computing (ICSOC), pp. 541-549, 2013


2012

Work-Centered Visual Analytics to Support Multidisciplinary Design Analysis and Optimization
Xin Yan, Mu Qiao, Timothy W. Simpson, Jia Li, Xiaolong Zhang,
The 14th AIAA/ISSMO Multidisciplinary Analysis & Optimization Conference, AIAA, AIAA-2012-5662

Mixture Modeling for Complex and Large-Scale Data with Applications
Mu Qiao
Ph.D. Thesis, Pennsylvania State University, 2012

A Work-Centered Visual Analytics Model to Support Engineering Design with Interactive Visualization and Data-Mining
Xin Yan, Mu Qiao, Jia Li, Timothy W. Simpson, Gary M. Stump, Xiaolong Zhang,
The 45th Hawaii International Conference on System Sciences (HICSS), pp. 1845-1854, 2012
Best Paper Award Nomination

OSCAR: On-Site Composition and Aesthetics Feedback through Exemplars for Photographers
Lei Yao, Poonam Suryanarayan, Mu Qiao, James Z Wang, Jia Li,
International Journal of Computer Vision (IJCV), 96(3), 353-383, 2012


2011

LIVE: A Work-centered Approach to Support Visual Analytics of Multi-dimensional Engineering Design Data with Interactive Visualization and Data-mining
Xin Yan, Mu Qiao, Timothy W. Simpson, Jia Li, Xiaolong Zhang,
The ASME 2011 Design Engineering Technical Conferences - Design Automation Conference, DETC2011/DAC-48333, pp. 825-834

Towards Efficient Business Process Clustering and Retrieval: Combining Language Modeling and Structure Matching
Mu Qiao, Rama Akkiraju, Aubrey J. Rembert,
The 9th International Conference on Business Process Management (BPM), pp. 199-214, 2011


2010

Two-way Gaussian Mixture Models for High Dimensional Classification
Mu Qiao, Jia Li,
Statistical Analysis and Data Mining: The ASA Data Science Journal, 3(4), 259-271, 2010