Ma, Tengfei

40 publications

AAAI 2025 Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi

JMLR 2025 Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

NeurIPS 2025 Self-Supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction Tengfei Ma, Kun Chen, Yongsheng Zang, Yujie Chen, Xuanbai Ren, Bosheng Song, Hongxin Xiang, Yiping Liu, Xiangxiang Zeng

TMLR 2025 Self-Supervised Learning on Molecular Graphs: A Systematic Investigation of Masking Design Jiannan Yang, Veronika Thost, Tengfei Ma

ICLR 2025 Shedding Light on Time Series Classification Using Interpretability Gated Networks Yunshi Wen, Tengfei Ma, Ronny Luss, Debarun Bhattacharjya, Achille Fokoue, Anak Agung Julius

AAAI 2025 S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion Tengfei Ma, Yujie Chen, Liang Wang, Xuan Lin, Bosheng Song, Xiangxiang Zeng

ICLR 2025 Towards Synergistic Path-Based Explanations for Knowledge Graph Completion: Exploration and Evaluation Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, Xiangxiang Zeng

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

NeurIPS 2024 Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-Series Classification Yunshi Wen, Tengfei Ma, Tsui-Wei Weng, Lam M. Nguyen, Anak Agung Julius

AAAI 2024 AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji

ICMLW 2024 Masking in Molecular Graphs Leveraging Reaction Context Jiannan Yang, Veronika Thost, Tengfei Ma

ECCV 2024 TrojVLM: Backdoor Attack Against Vision Language Models Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen

ICML 2024 What Improves the Generalization of Graph Transformers? a Theoretical Dive into the Self-Attention and Positional Encoding Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen

LoG 2023 Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang

UAI 2023 Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma, Trong Nghia Hoang, Jie Chen

NeurIPS 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

ICLR 2023 Weighted Clock Logic Point Process Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius

NeurIPSW 2023 What Improves the Generalization of Graph Transformer? a Theoretical Dive into Self-Attention and Positional Encoding Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen

ICLRW 2022 Combinatorial Scientific Discovery: Finding New Concept Combinations Beyond Link Prediction Yuchen Zeng, Yelman Khan, Shufan Wang, Veronika Thost, Tengfei Ma

ICML 2022 Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

ICLRW 2022 Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

IJCAI 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

ICLRW 2022 Neural Approximation of Extended Persistent Homology on Graphs Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

NeurIPS 2022 Neural Approximation of Graph Topological Features Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

NeurIPSW 2022 Retrosynthesis Prediction Revisited Hongyu Tu, Shantam Shorewala, Tengfei Ma, Veronika Thost

ICML 2021 Link Prediction with Persistent Homology: An Interactive View Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

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

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

AAAI 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

IJCAI 2020 KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng

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

AAAI 2019 GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, 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 Pre-Training of Graph Augmented Transformers for Medication Recommendation Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun

IJCAI 2019 RDPD: Rich Data Helps Poor Data via Imitation Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun

NeurIPS 2018 Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma, Jie Chen, Cao Xiao

IJCAI 2018 Drug Similarity Integration Through Attentive Multi-View Graph Auto-Encoders Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang

ICLR 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen, Tengfei Ma, Cao Xiao

IJCAI 2017 Inverted Bilingual Topic Models for Lexicon Extraction from Non-Parallel Data Tengfei Ma, Tetsuya Nasukawa

AAAI 2015 The Hybrid Nested/Hierarchical Dirichlet Process and Its Application to Topic Modeling with Word Differentiation Tengfei Ma, Issei Sato, Hiroshi Nakagawa