Tengfei Ma  Tengfei Ma photo         

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash9149451996

links



2021

Persistence Homology for Link Prediction: An Interactive View
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
arXiv preprint arXiv:2102.10255, 2021

Wasserstein diffusion on graphs with missing attributes
Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang
arXiv preprint arXiv:2102.03450, 2021

BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network
Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang
arXiv preprint arXiv:2101.05519, 2021

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Tengfei Ma, Jie Chen
AAAI 2021


2020

Hierarchical graph matching networks for deep graph similarity learning
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X Liu, Chunming Wu, Shouling Ji
arXiv preprint arXiv:2007.04395, 2020

Deep Graph Learning: Foundations, Advances and Applications
Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining, pp. 3555--3556, 2020

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
Hanlu Wu, Tengfei Ma, Lingfei Wu, Shouling Ji
arXiv preprint arXiv:2010.13080, 2020

Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding
Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke Rundensteiner, Fei Wang
IEEE BigData, 2020

GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
arXiv preprint arXiv:2011.11048, 2020

Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
EMNLP 2020

Relation-Dependent Sampling for Multi-Relational Link Prediction
Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
The Graph Representation Learning and Beyond (GRL+) Workhop at ICML 2020

CHEER: Rich Model Helps Poor Model via Knowledge Infusion
Cao Xiao, Hoang Trong Nghia, Shenda Hong, Tengfei Ma, Jimeng Sun
IEEE Transactions on Knowledge and Data Engineering, IEEE, 2020

Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence
Zhao Qin, Lingfei Wu, Hui Sun, Siyu Huo, Tengfei Ma, Eugene Lim, Pin-Yu Chen, Benedetto Marelli, Markus J Buehler
Extreme Mechanics Letters36, 100652, Elsevier, 2020

Curvature Graph Network
Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen.
ICLR, 2020

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz
AAAI, 2020

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E Leisersen
AAAI, 2020


2019

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks
Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun
arXiv preprint arXiv:1910.02107, 2019

Graph Enhanced Cross-Domain Text-to-SQL Generation
Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael J Witbrock
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13), pp. 159--163, 2019

Artificial intelligence method to design and fold alpha-helix structural proteins from the primary amino acid sequence
Zhao Qin, Lingfei Wu, Hui Sun, Siyu Huo, Tengfei Ma, Eugene Lim, Pin-Yu Chen, Benedetto Marelli, Markus J Buehler
bioRxiv, 660639, Cold Spring Harbor Laboratory, 2019

PEARL: Prototype Learning via Rule Learning
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, pp. 223--232, 2019

DeepDrawing: A Deep Learning Approach to Graph Drawing
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
IEEE transactions on visualization and computer graphics 26(1), 676--686, IEEE, 2019

IPC: A Benchmark Data Set for Learning with Graph-Structured Data
Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz
ICML 2019 Workshop

Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
IJCAI, 2019

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
IJCAI, 2019

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
AAAI, 2019

Reaching Data Confidentiality and Model Accountability on the CalTrain
Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian Molloy
DSN, 2019


2018

Dialogue-based tutoring at scale: Design and Challenges
Maria Chang, Matthew Ventura, Jae-wook Ahn, Peter Foltz, Tengfei Ma, Tejas I Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D helon, Amy Wetzel, others
ICLS, 2018

Constrained generation of semantically valid graphs via regularizing variational autoencoders
Tengfei Ma*, Jie Chen*, Cao Xiao
Advances in Neural Information Processing Systems, pp. 7113--7124, 2018

Preliminary Evaluations of a Dialogue-Based Digital Tutor
Matthew Ventura, Maria Chang, Peter Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I Dhamecha, others
International Conference on Artificial Intelligence in Education, pp. 480--483, 2018

Drug similarity integration through attentive multi-view graph auto-encoders
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
IJCAI, 2018

Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects
Patrick Watson, TengFei Ma, Ravi Tejwani, Maria Chang, JaeWook Ahn, Sharad Sundararajan
Companion of the The Web Conference 2018 on The Web Conference 2018, pp. 299--303

RDPD: Rich Data Helps Poor Data via Imitation
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
arXiv preprint arXiv:1809.01921, 2018

Readmission prediction via deep contextual embedding of clinical concepts
Cao Xiao*, Tengfei Ma*, Adji B Dieng, David M Blei, Fei Wang
PloS one 13(4), e0195024, Public Library of Science, 2018

Fastgcn: fast learning with graph convolutional networks via importance sampling
Jie Chen*, Tengfei Ma*, Cao Xiao
ICLR, 2018

AWE: Asymmetric Word Embedding for Textual Entailment
Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun
arXiv preprint arXiv:1809.04047, 2018

Health-atm: A deep architecture for multifaceted patient health record representation and risk prediction
Tengfei Ma*, Cao Xiao*, Fei Wang
Proceedings of the 2018 SIAM International Conference on Data Mining, pp. 261--269


2017

Multilingual training of crosslingual word embeddings
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pp. 894--904, 2017

Wizard’s Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering
Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu
International Conference on Artificial Intelligence in Education, pp. 630--635, 2017


2016

Inverted bilingual topic models for lexicon extraction from non-parallel data
Tengfei Ma, Tetsuya Nasukawa
arXiv preprint arXiv:1612.07215, 2016

Accelerated Kaczmarz Algorithms using History Information
Tengfei Ma
arXiv preprint arXiv:1608.00351, 2016

Learning crosslingual word embeddings without bilingual corpora
Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn
arXiv preprint arXiv:1606.09403, 2016


2015

The hybrid nested/hierarchical dirichlet process and its application to topic modeling with word differentiation
Tengfei Ma, Issei Sato, Hiroshi Nakagawa
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


2013

Automatically Determining a Proper Length for Multi-document Summarization: A Bayesian Nonparametric Approach
Tengfei Ma, Hiroshi Nakagawa
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 736--746

Automated tracing of retinal blood vessels using graphical models
Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li
Scandinavian Conference on Image Analysis, pp. 277--289, 2013


2011

Named entity recognition in Chinese news comments on the web
Xiaojun Wan, Liang Zong, Xiaojiang Huang, Tengfei Ma, Houping Jia, Yuqian Wu, Jianguo Xiao
Proceedings of 5th International Joint Conference on Natural Language Processing, pp. 856--864, 2011


2010

Multi-document summarization using minimum distortion
Tengfei Ma, Xiaojun Wan
2010 IEEE International Conference on Data Mining, pp. 354--363

Opinion target extraction in Chinese news comments
Tengfei Ma, Xiaojun Wan
Proceedings of the 23rd international conference on computational linguistics: Posters, pp. 782--790, 2010