Opinion Target Extraction in Chinese News Comments. - Tengfei Ma 001; Xiaojun Wan 001 (COLING (Posters), 2010)

Multi-document Summarization Using Minimum Distortion. - Tengfei Ma 001; Xiaojun Wan 001 (ICDM, 2010)

PKUTM Experiments in NTCIR-8 MOAT Task. - Chenfeng Wang; Tengfei Ma 001; Liqiang Guo; Xiaojun Wan 001; Jianwu Yang (NTCIR, 2010)

PKUTM Participation at TAC 2010 RTE and Summarization Track. - Houping Jia; Xiaojiang Huang; Tengfei Ma 001; Xiaojun Wan 001; Jianguo Xiao (TAC, 2010)

Named Entity Recognition in Chinese News Comments on the Web. - Xiaojun Wan 001; Liang Zong; Xiaojiang Huang; Tengfei Ma 001; Houping Jia; Yuqian Wu; Jianguo Xiao (IJCNLP, 2011)

Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach. - Tengfei Ma 001; Hiroshi Nakagawa (EMNLP, 2013)

Automated Tracing of Retinal Blood Vessels Using Graphical Models. - Jaydeep De; Tengfei Ma 001; Huiqi Li; Manoranjan Dash; Cheng Li (SCIA, 2013)

The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation. - Tengfei Ma 001; Issei Sato; Hiroshi Nakagawa (AAAI, 2015)

Learning Crosslingual Word Embeddings without Bilingual Corpora. - Long Duong; Hiroshi Kanayama; Tengfei Ma 001; Steven Bird; Trevor Cohn (EMNLP, 2016)

Accelerated Kaczmarz Algorithms using History Information. - Tengfei Ma 001 (CoRR, 2016)

Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data. - Tengfei Ma 001 (CoRR, 2016)

Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering. - Jae-wook Ahn; Patrick Watson; Maria Chang 001; Sharad Sundararajan; Tengfei Ma 001; Nirmal Mukhi; Srijith Prabhu (AIED, 2017)

Multilingual Training of Crosslingual Word Embeddings. - Long Duong; Hiroshi Kanayama; Tengfei Ma 001; Steven Bird; Trevor Cohn (EACL (1), 2017)

Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data. - Tengfei Ma 001; Tetsuya Nasukawa (IJCAI, 2017)

Preliminary Evaluations of a Dialogue-Based Digital Tutor. - Matthew Ventura; Maria Chang 001; Peter W. Foltz; Nirmal Mukhi; Jessica Yarbro; Anne Pier Salverda; John T. Behrens; Jae-wook Ahn; Tengfei Ma 001; Tejas I. Dhamecha; Smit Marvaniya; Patrick Watson; et al. (AIED (2), 2018)

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. - Jie Chen 007; Tengfei Ma 001; Cao Xiao (ICLR (Poster), 2018)

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. - Tengfei Ma 001; Cao Xiao; Jiayu Zhou; Fei Wang 001 (IJCAI, 2018)

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. - Tengfei Ma 001; Jie Chen 007; Cao Xiao (NeurIPS, 2018)

Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. - Tengfei Ma 001; Cao Xiao; Fei Wang 001 (SDM, 2018)

Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects. - Patrick Watson; Tengfei Ma 001; Ravi Tejwani; Maria Chang 001; Jae-wook Ahn; Sharad Sundararajan (WWW (Companion Volume), 2018)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (CoRR, 2018)

AWE: Asymmetric Word Embedding for Textual Entailment. - Tengfei Ma 001; Chiamin Wu; Cao Xiao; Jimeng Sun 001 (CoRR, 2018)

Adaptive Planner Scheduling with Graph Neural Networks. - Tengfei Ma 001; Patrick Ferber; Siyu Huo; Jie Chen 007; Michael Katz 001 (CoRR, 2018)

Scalable Graph Learning for Anti-Money Laundering: A First Look. - Mark Weber; Jie Chen 007; Toyotaro Suzumura; Aldo Pareja; Tengfei Ma 001; Hiroki Kanezashi; Tim Kaler; Charles E. Leiserson; Tao B. Schardl (CoRR, 2018)

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. - Junyuan Shang; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (AAAI, 2019)

PEARL: Prototype Learning via Rule Learning. - Tianfan Fu; Tian Gao; Cao Xiao; Tengfei Ma 001; Jimeng Sun 001 (BCB, 2019)

Reaching Data Confidentiality and Model Accountability on the CalTrain. - Zhongshu Gu; Hani Jamjoom; Dong Su; Heqing Huang 001; Jialong Zhang 001; Tengfei Ma 001; Dimitrios Pendarakis; Ian M. Molloy (DSN, 2019)

Pre-Training BERT on Domain Resources for Short Answer Grading. - Chul Sung; Tejas I. Dhamecha; Swarnadeep Saha; Tengfei Ma 001; Vinay Reddy; Rishi Arora (EMNLP/IJCNLP (1), 2019)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Trong Nghia Hoang; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

Pre-training of Graph Augmented Transformers for Medication Recommendation. - Junyuan Shang; Tengfei Ma 001; Cao Xiao; Jimeng Sun 001 (IJCAI, 2019)

Graph Enhanced Cross-Domain Text-to-SQL Generation. - Siyu Huo; Tengfei Ma 001; Jie Chen 007; Maria Chang 001; Lingfei Wu 001; Michael Witbrock (TextGraphs@EMNLP, 2019)

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. - Aldo Pareja; Giacomo Domeniconi; Jie Chen 007; Tengfei Ma 001; Toyotaro Suzumura; Hiroki Kanezashi; Tim Kaler; Charles E. Leiserson (CoRR, 2019)

IPC: A Benchmark Data Set for Learning with Graph-Structured Data. - Patrick Ferber; Tengfei Ma 001; Siyu Huo; Jie Chen 007; Michael Katz 001 (CoRR, 2019)

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. - Tengfei Ma 001; Junyuan Shang; Cao Xiao; Jimeng Sun 001 (CoRR, 2019)

Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. - Tengfei Ma 001; Patrick Ferber; Siyu Huo; Jie Chen 007; Michael Katz 001 (AAAI, 2020)

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. - Aldo Pareja; Giacomo Domeniconi; Jie Chen 007; Tengfei Ma 001; Toyotaro Suzumura; Hiroki Kanezashi; Tim Kaler; Tao B. Schardl; Charles E. Leiserson (AAAI, 2020)

Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. - Xiao Qin 003; Cao Xiao; Tengfei Ma 001; Tabassum Kakar; Susmitha Wunnava; Xiangnan Kong; Elke A. Rundensteiner; Fei Wang 001 (IEEE BigData, 2020)

Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning. - Hanlu Wu; Tengfei Ma 001; Lingfei Wu 001; Tariro Manyumwa; Shouling Ji (EMNLP (1), 2020)

Curvature Graph Network. - Ze Ye; Kin Sum Liu; Tengfei Ma 001; Jie Gao 001; Chao Chen 012 (ICLR, 2020)

Deep Graph Learning: Foundations, Advances and Applications. - Yu Rong 001; Tingyang Xu; Junzhou Huang; Wenbing Huang 001; Hong Cheng 001; Yao Ma 001; Yiqi Wang 001; Tyler Derr; Lingfei Wu 001; Tengfei Ma 001 (KDD, 2020)

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (CoRR, 2020)

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. - Hanlu Wu; Tengfei Ma 001; Lingfei Wu 001; Shouling Ji (CoRR, 2020)

GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. - Zhihua Jin; Yong Wang 021; Qianwen Wang; Yao Ming; Tengfei Ma 001; Huamin Qu (CoRR, 2020)

DeepDrawing: A Deep Learning Approach to Graph Drawing. - Yong Wang 021; Zhihua Jin; Qianwen Wang; Weiwei Cui 001; Tengfei Ma 001; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2020)

Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. - Tengfei Ma 001; Jie Chen 007 (AAAI, 2021)

Constructing contrastive samples via summarization for text classification with limited annotations. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Xuhong Zhang 002; Bo Long; Shouling Ji (EMNLP (Findings), 2021)

Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. - Manling Li; Tengfei Ma 001; Mo Yu; Lingfei Wu 001; Tian Gao; Heng Ji 001; Kathleen R. McKeown (EMNLP (1), 2021)

Link Prediction with Persistent Homology: An Interactive View. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (ICML, 2021)

STONE: Signal Temporal Logic Neural Network for Time Series Classification. - Ruixuan Yan; Agung Julius; Maria Chang 001; Achille Fokoue; Tengfei Ma 001; Rosario Uceda-Sosa (ICDM (Workshops), 2021)

Improving Inductive Link Prediction Using Hyper-relational Facts. - Mehdi Ali; Max Berrendorf; Mikhail Galkin 001; Veronika Thost; Tengfei Ma 001; Volker Tresp; Jens Lehmann 001 (ISWC, 2021)

BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network. - Zhixian Chen; Tengfei Ma 001; Zhihua Jin; Yangqiu Song; Yang Wang 020 (CoRR, 2021)

Wasserstein diffusion on graphs with missing attributes. - Zhixian Chen; Tengfei Ma 001; Yangqiu Song; Yang Wang 020 (CoRR, 2021)

Persistence Homology for Link Prediction: An Interactive View. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (CoRR, 2021)

Constructing Contrastive samples via Summarization for Text Classification with limited annotations. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Xuhong Zhang 002; Shouling Ji (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 001 (CoRR, 2021)

A Topological View of Rule Learning in Knowledge Graphs. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (CoRR, 2021)

Deep Graph Matching and Searching for Semantic Code Retrieval. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Gaoning Pan; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (ACM Trans. Knowl. Discov. Data, 2021)

Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. - Ruixuan Yan; Tengfei Ma 001; Achille Fokoue; Maria Chang 001; Agung Julius (ICDM, 2022)

Cycle Representation Learning for Inductive Relation Prediction. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (ICML, 2022)

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). - Mehdi Ali; Max Berrendorf; Mikhail Galkin 001; Veronika Thost; Tengfei Ma 001; Volker Tresp; Jens Lehmann 001 (IJCAI, 2022)

MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection. - Xiang Ling 001; Lingfei Wu 001; Wei Deng; Zhenqing Qu; Jiangyu Zhang; Sheng Zhang; Tengfei Ma 001; Bin Wang 062; Chunming Wu 001; Shouling Ji (INFOCOM, 2022)

A Study of the Attention Abnormality in Trojaned BERTs. - Weimin Lyu; Songzhu Zheng; Tengfei Ma 001; Chao Chen 012 (NAACL-HLT, 2022)

Neural Approximation of Graph Topological Features. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (NeurIPS, 2022)

Neural Approximation of Extended Persistent Homology on Graphs. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (CoRR, 2022)

When Does A Spectral Graph Neural Network Fail in Node Classification? - Zhixian Chen; Tengfei Ma 001; Yang Wang 020 (CoRR, 2022)

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Yiming Wu; Xuhong Zhang 002; Bo Long; Shouling Ji (CoRR, 2022)

Attention Hijacking in Trojan Transformers. - Weimin Lyu; Songzhu Zheng; Tengfei Ma 001; Haibin Ling; Chao Chen 012 (CoRR, 2022)

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. - Hanlu Wu; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Shouling Ji (ACM Trans. Knowl. Discov. Data, 2022)

CHEER: Rich Model Helps Poor Model via Knowledge Infusion. - Cao Xiao; Trong Nghia Hoang; Shenda Hong; Tengfei Ma 001; Jimeng Sun 001 (IEEE Trans. Knowl. Data Eng., 2022)

Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration. - Fengjie Wang; Xuye Liu; Oujing Liu; Ali Neshati; Tengfei Ma 001; Min Zhu 005; Jian Zhao 010 (CHI, 2023)

Knowledge Graph Compression Enhances Diverse Commonsense Generation. - Eunjeong Hwang; Veronika Thost; Vered Shwartz; Tengfei Ma 001 (EMNLP, 2023)

CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. - Tong Ye; Lingfei Wu 001; Tengfei Ma 001; Xuhong Zhang 002; Yangkai Du; Peiyu Liu 003; Shouling Ji; Wenhai Wang (EMNLP, 2023)

Weighted Clock Logic Point Process. - Ruixuan Yan; Yunshi Wen; Debarun Bhattacharjya; Ronny Luss; Tengfei Ma 001; Achille Fokoue; Anak Agung Julius (ICLR, 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 001; Xiang Song 003; Wen-Mei Hwu (KDD, 2023)

Cycle Invariant Positional Encoding for Graph Representation Learning. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012; Yusu Wang 001 (LoG, 2023)

SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network. - Yuting Hu; Jiajie Li 002; Florian Klemme; Gi-Joon Nam; Tengfei Ma 001; Hussam Amrouch; Jinjun Xiong (NeurIPS, 2023)

Federated learning of models pre-trained on different features with consensus graphs. - Tengfei Ma 001; Trong Nghia Hoang; Jie Chen 007 (UAI, 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 001; Fusheng Wang 001 (CoRR, 2023)

Multilevel Graph Matching Networks for Deep Graph Similarity Learning. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. - Zhihua Jin; Yong Wang 021; Qianwen Wang; Yao Ming; Tengfei Ma 001; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2023)

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Xuhong Zhang 002; Shouling Ji (AAAI, 2024)

TrojVLM: Backdoor Attack Against Vision Language Models. - Weimin Lyu; Lu Pang 006; Tengfei Ma 001; Haibin Ling; Chao Chen 012 (ECCV (65), 2024)

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. - Xiaoqiang Wang 007; Lingfei Wu 001; Tengfei Ma 001; Bang Liu (EMNLP, 2024)

What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding. - Hongkang Li; Meng Wang 003; Tengfei Ma 001; Sijia Liu 001; Zaixi Zhang; Pin-Yu Chen (ICML, 2024)

Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. - Tong Ye; Lingfei Wu 001; Tengfei Ma 001; Xuhong Zhang 002; Yangkai Du; Peiyu Liu 003; Shouling Ji; Wenhai Wang (NAACL-HLT (Findings), 2024)

Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification. - Yunshi Wen; Tengfei Ma 001; Lily Weng; Lam M. Nguyen; Anak Agung Julius (NeurIPS, 2024)

Iterative or Innovative? A Problem-Oriented Perspective for Code Optimization. - Tong Ye; Tengfei Ma 001; Lingfei Wu 001; Xuhong Zhang 002; Shouling Ji; Wenhai Wang (CoRR, 2024)

Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification. - Yunshi Wen; Tengfei Ma 001; Tsui-Wei Weng; Lam M. Nguyen; Anak Agung Julius (CoRR, 2024)

Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting. - Tong Ye; Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Xuhong Zhang 002; Shouling Ji; Wenhai Wang (AAAI, 2025)

NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines. - Xuye Liu; Tengfei Ma 001; Yimu Wang; Fengjie Wang; Jian Zhao 010 (ACL (Findings), 2025)

Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization. - Xuye Liu; Annie Sun; Pengcheng An; Tengfei Ma 001; Jian Zhao 010 (CHI, 2025)

Shedding Light on Time Series Classification using Interpretability Gated Networks. - Yunshi Wen; Tengfei Ma 001; Ronny Luss; Debarun Bhattacharjya; Achille Fokoue; Anak Agung Julius (ICLR, 2025)

Enhancing Graph Representation Learning with Localized Topological Features. - Zuoyu Yan; Qi Zhao 007; Ze Ye; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (CoRR, 2025)

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness. - Tong Ye; Weigang Huang; Xuhong Zhang 002; Tengfei Ma 001; Peiyu Liu 003; Jianwei Yin; Wenhai Wang (CoRR, 2025)

Graph Concept Bottleneck Models. - Haotian Xu; Tsui-Wei Weng; Lam M. Nguyen; Tengfei Ma 001 (CoRR, 2025)

Wasserstein Graph Neural Networks for Graphs With Missing Attributes. - Zhixian Chen; Tengfei Ma 001; Yangqiu Song; Yang Wang 020 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)