Tengfei Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 72

Top Topics

Textual Entailment

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Tong Ye, Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting. CoRR (2024)
Xuye Liu, Annie Sun, Pengcheng An, Tengfei Ma, Jian Zhao
Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization. CoRR (2024)
Tong Ye, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji, Wenhai Wang
Iterative or Innovative? A Problem-Oriented Perspective for Code Optimization. CoRR (2024)
Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection. AAAI (2024)
Yinan Liu, Xinyu Dong, Weimin Lyu, Richard N. Rosenthal, Rachel Wong, Tengfei Ma, Fusheng Wang
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction. CoRR (2023)
Fengjie Wang, Xuye Liu, Oujing Liu, Ali Neshati, Tengfei Ma, Min Zhu, Jian Zhao
Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration. CHI (2023)
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. CoRR (2023)
EunJeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma
Knowledge Graph Compression Enhances Diverse Commonsense Generation. EMNLP (2023)
Tengfei Ma, Bin Wang
GRNN-based hydraulic hose bulk modulus measurement and prediction method. I2MTC (2023)
Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. KDD (2023)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Multilevel Graph Matching Networks for Deep Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Wenhai Wang, Shouling Ji
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. CoRR (2023)
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius
Weighted Clock Logic Point Process. ICLR (2023)
Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji
AdaCCD: Adaptive Semantic Contrasts Discovery based Cross Lingual Adaptation for Code Clone Detection. CoRR (2023)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR (2023)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
Cycle Invariant Positional Encoding for Graph Representation Learning. LoG (2023)
Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. EMNLP (2023)
Yangkai Du, Tengfei Ma, Lingfei Wu, Yiming Wu, Xuhong Zhang, Bo Long, Shouling Ji
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning. CoRR (2022)
Xiang Ling, Lingfei Wu, Wei Deng, Zhenqing Qu, Jiangyu Zhang, Sheng Zhang, Tengfei Ma, Bin Wang, Chunming Wu, Shouling Ji
MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection. INFOCOM (2022)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI (2022)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Neural Approximation of Graph Topological Features. NeurIPS (2022)
Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. ICDM (2022)
Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. CoRR (2022)
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
A Study of the Attention Abnormality in Trojaned BERTs. CoRR (2022)
Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Deep Graph Matching and Searching for Semantic Code Retrieval. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Tengfei Ma, Jie Chen
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. AAAI (2021)
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji
Constructing contrastive samples via summarization for text classification with limited annotations. EMNLP (Findings) (2021)
Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa
STONE: Signal Temporal Logic Neural Network for Time Series Classification. ICDM (Workshops) (2021)
Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji
Constructing Contrastive samples via Summarization for Text Classification with limited annotations. CoRR (2021)
Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. EMNLP (1) (2021)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR (2020)
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI (2020)
Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. CoRR (2020)
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
DeepDrawing: A Deep Learning Approach to Graph Drawing. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Hanlu Wu, Tengfei Ma, Lingfei Wu, Shouling Ji
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. CoRR (2020)
Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
Deep Graph Learning: Foundations, Advances and Applications. KDD (2020)
Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. AAAI (2020)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Deep Graph Matching and Searching for Semantic Code Retrieval. CoRR (2020)
Hanlu Wu, Tengfei Ma, Lingfei Wu, Tariro Manyumwa, Shouling Ji
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. EMNLP (1) (2020)
Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData (2020)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. CoRR (2020)
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
Pre-training of Graph Augmented Transformers for Medication Recommendation. IJCAI (2019)
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. AAAI (2019)
Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI (2019)
Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz
IPC: A Benchmark Data Set for Learning with Graph-Structured Data. CoRR (2019)
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
PEARL: Prototype Learning via Rule Learning. BCB (2019)
Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP (2019)
Tengfei Ma, Jie Chen
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. CoRR (2019)
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
PEARL: Prototype Learning via Rule Learning. BCB (2019)
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
Pre-training of Graph Augmented Transformers for Medication Recommendation. CoRR (2019)
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI (2019)
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR (2019)
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. CoRR (2019)
Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. CoRR (2019)
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. CoRR (2018)
Tengfei Ma, Cao Xiao, Fei Wang
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. SDM (2018)
Patrick Watson, Tengfei Ma, Ravi Tejwani, Maria Chang, Jae-wook Ahn, Sharad Sundararajan
Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects. WWW (Companion Volume) (2018)
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
RDPD: Rich Data Helps Poor Data via Imitation. CoRR (2018)
Tengfei Ma, Jie Chen, Cao Xiao
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. CoRR (2018)
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. CoRR (2018)
Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun
AWE: Asymmetric Word Embedding for Textual Entailment. CoRR (2018)
Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz
Adaptive Planner Scheduling with Graph Neural Networks. CoRR (2018)
Jie Chen, Tengfei Ma, Cao Xiao
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. ICLR (Poster) (2018)
Matthew Ventura, Maria Chang, Peter Foltz, Nirmal Mukhi, Jessica Yarbro, Anne Pier Salverda, John Behrens, Jae-wook Ahn, Tengfei Ma, Tejas I. Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D'Helon, Ravi Tejwani, Shazia Afzal
Preliminary Evaluations of a Dialogue-Based Digital Tutor. AIED (2) (2018)
Jie Chen, Tengfei Ma, Cao Xiao
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. CoRR (2018)
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. IJCAI (2018)
Tengfei Ma, Jie Chen, Cao Xiao
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. NeurIPS (2018)
Mark Weber, Jie Chen, Toyotaro Suzumura, Aldo Pareja, Tengfei Ma, Hiroki Kanezashi, Tim Kaler, Charles E. Leiserson, Tao B. Schardl
Scalable Graph Learning for Anti-Money Laundering: A First Look. CoRR (2018)
Jae-wook Ahn, Patrick Watson, Maria Chang, Sharad Sundararajan, Tengfei Ma, Nirmal Mukhi, Srijith Prabhu
Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering. AIED (2017)