Tengfei Ma

According to our database, Tengfei Ma authored at least 82 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection.

Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.

Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu

IEEE Trans. Vis. Comput. Graph., June, 2023

Multilevel 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

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Cycle Invariant Positional Encoding for Graph Representation Learning.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang

CoRR, 2023

Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization.

Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Wenhai Wang, Shouling Ji

CoRR, 2023

Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction.

Yinan Liu, Xinyu Dong, Weimin Lyu, Richard N. Rosenthal, Rachel Wong, Tengfei Ma, Fusheng Wang

CoRR, 2023

Federated learning of models pre-trained on different features with consensus graphs.

Tengfei Ma, Trong Nghia Hoang, Jie Chen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network.

Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research.

Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Weighted Clock Logic Point Process.

Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code.

Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Knowledge Graph Compression Enhances Diverse Commonsense Generation.

EunJeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration.

Fengjie Wang, Xuye Liu, Oujing Liu, Ali Neshati, Tengfei Ma, Min Zhu, Jian Zhao

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

CHEER: Rich Model Helps Poor Model via Knowledge Infusion.

Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun

IEEE Trans. Knowl. Data Eng., 2022

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing.

Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji

ACM Trans. Knowl. Discov. Data, 2022

Attention Hijacking in Trojan Transformers.

Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen

CoRR, 2022

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning.

Yangkai Du, Tengfei Ma, Lingfei Wu, Yiming Wu, Xuhong Zhang, Bo Long, Shouling Ji

CoRR, 2022

When Does A Spectral Graph Neural Network Fail in Node Classification?

Zhixian Chen, Tengfei Ma, Yang Wang

CoRR, 2022

Neural Approximation of Extended Persistent Homology on Graphs.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

CoRR, 2022

Neural Approximation of Graph Topological Features.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Study of the Attention Abnormality in Trojaned BERTs.

Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection.

Xiang Ling, Lingfei Wu, Wei Deng, Zhenqing Qu, Jiangyu Zhang, Sheng Zhang, Tengfei Ma, Bin Wang, Chunming Wu, Shouling Ji

Proceedings of the IEEE INFOCOM 2022, 2022

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).

Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cycle Representation Learning for Inductive Relation Prediction.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

Proceedings of the International Conference on Machine Learning, 2022

Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description.

Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Deep Graph Matching and Searching for Semantic Code Retrieval.

Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

ACM Trans. Knowl. Discov. Data, 2021

A Topological View of Rule Learning in Knowledge Graphs.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

CoRR, 2021

Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction.

Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma

CoRR, 2021

Constructing Contrastive samples via Summarization for Text Classification with limited annotations.

Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji

CoRR, 2021

Persistence Homology for Link Prediction: An Interactive View.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

CoRR, 2021

Wasserstein diffusion on graphs with missing attributes.

Zhixian Chen, Tengfei Ma, Yangqiu Song, Yang Wang

CoRR, 2021

BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network.

Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang

CoRR, 2021

Improving Inductive Link Prediction Using Hyper-relational Facts.

Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

STONE: Signal Temporal Logic Neural Network for Time Series Classification.

Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa

Proceedings of the 2021 International Conference on Data Mining, 2021

Link Prediction with Persistent Homology: An Interactive View.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

Proceedings of the 38th International Conference on Machine Learning, 2021

Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport.

Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Constructing contrastive samples via summarization for text classification with limited annotations.

Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport.

Tengfei Ma, Jie Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DeepDrawing: A Deep Learning Approach to Graph Drawing.

Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

IEEE Trans. Vis. Comput. Graph., 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

CoRR, 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

CoRR, 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

CoRR, 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 KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Curvature Graph Network.

Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen

Proceedings of the 8th International Conference on Learning Representations, 2020

Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning.

Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.

Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.

Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling.

Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.

Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun

CoRR, 2019

IPC: A Benchmark Data Set for Learning with Graph-Structured Data.

Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz

CoRR, 2019

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs.

Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson

CoRR, 2019

Graph Enhanced Cross-Domain Text-to-SQL Generation.

Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Pre-training of Graph Augmented Transformers for Medication Recommendation.

Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.

Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

RDPD: Rich Data Helps Poor Data via Imitation.

Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Pre-Training BERT on Domain Resources for Short Answer Grading.

Chul Sung, Tejas I. Dhamecha, Swarnadeep Saha, Tengfei Ma, Vinay Reddy, Rishi Arora

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 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 M. Molloy

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 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, 2019

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.

Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Scalable Graph Learning for Anti-Money Laundering: A First Look.

Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl

CoRR, 2018

Adaptive Planner Scheduling with Graph Neural Networks.

Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz

CoRR, 2018

AWE: Asymmetric Word Embedding for Textual Entailment.

Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun

CoRR, 2018

RDPD: Rich Data Helps Poor Data via Imitation.

Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

CoRR, 2018

Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects.

Patrick Watson, Tengfei Ma, Ravi Tejwani, Maria Chang, Jae-wook Ahn, Sharad Sundararajan

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 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, 2018

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders.

Tengfei Ma, Jie Chen, Cao Xiao

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.

Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

Jie Chen, Tengfei Ma, Cao Xiao

Proceedings of the 6th International Conference on Learning Representations, 2018

Preliminary Evaluations of a Dialogue-Based Digital Tutor.

Matthew Ventura, Maria Chang, Peter W. Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John T. Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I. Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D'Helon, Ravi Tejwani, Shazia Afzal

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data.

Tengfei Ma, Tetsuya Nasukawa

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 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, 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

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data.

Tengfei Ma

CoRR, 2016

Learning Crosslingual Word Embeddings without Bilingual Corpora.

Long Duong, Hiroshi Kanayama, Tengfei Ma, Steven Bird, Trevor Cohn

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation.

Tengfei Ma, Issei Sato, Hiroshi Nakagawa

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

Automated Tracing of Retinal Blood Vessels Using Graphical Models.

Jaydeep De, Tengfei Ma, Huiqi Li, Manoranjan Dash, Cheng Li

Proceedings of the Image Analysis, 18th Scandinavian Conference, 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, 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 the Fifth International Joint Conference on Natural Language Processing, 2011

2010

PKUTM Participation at TAC 2010 RTE and Summarization Track.

Houping Jia, Xiaojiang Huang, Tengfei Ma, Xiaojun Wan, Jianguo Xiao

Proceedings of the Third Text Analysis Conference, 2010

PKUTM Experiments in NTCIR-8 MOAT Task.

Chenfeng Wang, Tengfei Ma, Liqiang Guo, Xiaojun Wan, Jianwu Yang

Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2010

Multi-document Summarization Using Minimum Distortion.

Tengfei Ma, Xiaojun Wan

Proceedings of the ICDM 2010, 2010

Opinion Target Extraction in Chinese News Comments.

Tengfei Ma, Xiaojun Wan

Proceedings of the COLING 2010, 2010