Tengfei Ma

According to our database, Tengfei Ma authored at least 30 papers between 2020 and 2026.

Collaborative distances:

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

2026

Enhanced Protein Network Representation With Explicit Structural Binding for Protein-Protein Interaction Prediction.

Zhuowen Zhen, Tengfei Ma, Yiping Liu, Xiangxiang Zeng

IEEE J. Biomed. Health Informatics, June, 2026

SpecX: A Large-Scale Benchmark for Multi-Modal Spectroscopy and Cross-Paradigm Evaluation.

Chengrui Xiang, Tengfei Ma, Yujie Chen, Tong Wang, Haowen Chen, Xiangxiang Zeng

CoRR, May, 2026

Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis.

Pei Liu, Xiangxiang Zeng, Tengfei Ma, Yucheng Xing, Xuanbai Ren, Yiping Liu

CoRR, March, 2026

ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction.

Yuqin He, Tengfei Ma, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng

Inf. Fusion, 2026

CAML: A Conflict-Aware Molecular Language Model Merging Framework for Multi-Constraint Molecular Generation.

Xuanbai Ren, Luoda Tan, Pei Liu, Tengfei Ma, Xiangzheng Fu, Longyue Wang, Yiping Liu, Xiangxiang Zeng

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization.

Daojian Zeng, Tianle Li, Jiahao Yang, Jiacai Yi, Xieping Gao, Lincheng Jiang, Tengfei Ma, Xiangxiang Zeng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction.

Yujie Chen, Tengfei Ma, Yuansheng Liu, Leyi Wei, Shu Wu, Dongsheng Cao, Yiping Liu, Xiangxiang Zeng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DeepDR: an integrated deep-learning model web server for drug repositioning.

Shuting Jin, Yi Jiang, Yimin Liu, Tengfei Ma, Dong-Sheng Cao, Leyi Wei, Xiangrong Liu, Xiangxiang Zeng

CoRR, November, 2025

MolBridge: Atom-Level Joint Graph Refinement for Robust Drug-Drug Interaction Event Prediction.

Xuan Lin, Aocheng Ding, Tengfei Ma, Hua Liang, Zhe Quan

CoRR, October, 2025

AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery.

Yifan Dai, Xuanbai Ren, Tengfei Ma, Qipeng Yan, Yiping Liu, Yuansheng Liu, Xiangxiang Zeng

CoRR, May, 2025

CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning.

Shunpan Liang, Xiang Li, Shi Mu, Chen Li, Yu Lei, Yulei Hou, Tengfei Ma

Knowl. Based Syst., 2025

Predicting Drug-Drug Interaction via Dual-Drug Visual Representation.

Lingxuan Xie, Tengfei Ma, Yuqin He, Yiping Liu, Xiangxiang Zeng

J. Chem. Inf. Model., 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing.

Chengrui Xiang, Tengfei Ma, Xiangzheng Fu, Yiping Liu, Bosheng Song, Xiangxiang Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

VQH-AM: Vector Quantization-Augmented Heterogeneous Graph Learning for Antibody Affinity Maturation Prediction.

Zhuowen Zhen, Tengfei Ma, Jiaxuan Li, Dashun Zheng, Patrick Cheong-Iao Pang, Yiping Liu, Xiangxiang Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion.

Tengfei Ma, Yujie Chen, Liang Wang, Xuan Lin, Bosheng Song, Xiangxiang Zeng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction.

Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-Iao Pang, Yiping Liu, Yijun Wang, Longyue Wang, Bosheng Song, Xiangxiang Zeng, Philip S. Yu

IEEE Trans. Knowl. Data Eng., December, 2024

StratMed: Relevance stratification between biomedical entities for sparsity on medication recommendation.

Xiang Li, Shunpan Liang, Yulei Hou, Tengfei Ma

Knowl. Based Syst., 2024

S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion.

Tengfei Ma, Yujie Chen, Liang Wang, Xuan Lin, Bosheng Song, Xiangxiang Zeng

CoRR, 2024

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development.

Tengfei Ma, Xuan Lin, Tianle Li, Chaoyi Li, Long Chen, Peng Zhou, Xibao Cai, Xinyu Yang, Daojian Zeng, Dong-Sheng Cao, Xiangxiang Zeng

CoRR, 2024

Relationship Discovery for Drug Recommendation.

Xiang Li, Shunpan Liang, Yu Lei, Chen Li, Yulei Hou, Tengfei Ma

CoRR, 2024

KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion.

Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng

CoRR, 2024

Dual-Granularity Medication Recommendation Based on Causal Inference.

Shunpan Liang, Xiang Li, Shi Mu, Chen Li, Yu Lei, Yulei Hou, Tengfei Ma

CoRR, 2024

CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient Health State.

Xiang Li, Shunpan Liang, Yu Lei, Chen Li, Yulei Hou, Dashun Zheng, Tengfei Ma

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction.

Tengfei Ma, Xuan Lin, Bosheng Song, Philip S. Yu, Xiangxiang Zeng

IEEE Trans. Knowl. Data Eng., July, 2023

Learning to Denoise Unreliable Interactions for Link Prediction on Biomedical Knowledge Graph.

Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-Iao Pang, Yiping Liu, Yijun Wang, Bosheng Song, Xiangxiang Zeng

CoRR, 2023

2021

MUFFIN: multi-scale feature fusion for drug-drug interaction prediction.

Yujie Chen, Tengfei Ma, Xixi Yang, Jianmin Wang, Bosheng Song, Xiangxiang Zeng

Bioinform., 2021

2020

Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning.

Xiangxiang Zeng, Xiang Song, Tengfei Ma, Xiaoqin Pan, Yadi Zhou, Yuan Hou, Zheng Zhang, George Karypis, Feixiong Cheng

CoRR, 2020

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction.

Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020