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Xu, Tingyang

  1. DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
    2019/07/25 by Yu Rong, Wenbing Huang, Rong, Yu +5 · 43 citations
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Networking and Internet Architecture (cs.NI)
  2. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
    2020/01/17 by Tian Bian, Xi Xiao, Bian, Tian +11 · 14 citations
    Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Misinformation and Its Impacts #Social and Information Networks (cs.SI) #Topic Modeling
  3. Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
    2025/06/08 by Weiwen Xu, LASA Team, Hou Pong Chan +34 · 48 citations
    Computer Science · #Multimodal Machine Learning Applications #Machine Learning in Healthcare #Domain Adaptation and Few-Shot Learning
  4. Progressive Feature Alignment for Unsupervised Domain Adaptation
    2018/11/21 by Chaoqi Chen, Weiping Xie, Chen, Chaoqi +13 · 8 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Speech Recognition and Synthesis
  5. Graph Information Bottleneck for Subgraph Recognition
    2020/10/12 by Junchi Yu, Yu, Junchi, Tingyang Xu +9 · 10 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Machine Learning in Materials Science
  6. Graph Representation Learning via Graphical Mutual Information Maximization
    2020/02/04 by Peng, Zhen, Huang, Wenbing, Luo, Minnan +4 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Transformer for Graphs: An Overview from Architecture Perspective
    2022/02/17 by Erxue Min, Runfa Chen, Min, Erxue +17 · 8 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG)
  8. Equivariant Graph Mechanics Networks with Constraints
    2022/03/12 by Huang, Wenbing, Han, Jiaqi, Rong, Yu +3 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Deep Multimodal Fusion by Channel Exchanging
    2020/11/10 by Wang, Yikai, Huang, Wenbing, Sun, Fuchun +3 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. MDM: Molecular Diffusion Model for 3D Molecule Generation
    2022/09/13 by Huang, Lei, Zhang, Hengtong, Xu, Tingyang +1 · 5 citations
    #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
    2024/03/01 by Jiaqi Han, Jiacheng Cen, Han, Jiaqi +28 · 9 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Graph Theory and Algorithms #Industrial Technology and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications
  12. Tackling Over-Smoothing for General Graph Convolutional Networks
    2020/08/22 by Wenbing Huang, Huang, Wenbing, Yu Rong +7 · 5 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Stochastic Gradient Optimization Techniques #Ferroelectric and Negative Capacitance Devices
  13. Recognizing Predictive Substructures with Subgraph Information Bottleneck
    2021/03/20 by Junchi Yu, Yu, Junchi, Tingyang Xu +9 · 4 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Stochastic Gradient Optimization Techniques #Brain Tumor Detection and Classification
  14. Geometrically Equivariant Graph Neural Networks: A Survey
    2022/02/15 by Han, Jiaqi, Rong, Yu, Xu, Tingyang +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
    2019/08/04 by Heng Chang, Yu Rong, Chang, Heng +13 · 2 citations
    Computer Science · #Advanced Graph Neural Networks
  16. ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
    2025/06/11 by Yu Sun, Xingyu Qian, Sun, Yu +19 · 14 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Multiagent Systems (cs.MA) #Multimodal Machine Learning Applications #Topic Modeling
  17. SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
    2023/08/25 by Liu Yang, Jiashun Cheng, Liu, Yang +13 · 4 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  18. On Self-Distilling Graph Neural Network
    2020/11/04 by Yuzhao Chen, Yatao Bian, Chen, Yuzhao +9 · 2 citations
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Local Augmentation for Graph Neural Networks
    2021/09/08 by Liu, Songtao, Ying, Rex, Dong, Hanze +6 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation
    2022/03/15 by Chen, Runfa, Rong, Yu, Guo, Shangmin +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
    2022/05/20 by Bingzhe Wu, Jintang Li, Wu, Bingzhe +37 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  22. VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning
    2025/07/30 by Ruifeng Yuan, Yuan, Ruifeng, Chenghao Xiao +21 · 12 citations
    Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques
  23. Towards Controllable Diffusion Models via Reward-Guided Exploration
    2023/04/14 by Zhang, Hengtong, Xu, Tingyang · 2 citations
    #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. A Survey of Graph Transformers: Architectures, Theories and Applications
    2025/02/23 by Chaohao Yuan, Yuan, Chaohao, Kangfei Zhao +15 · 5 citations
    #cs.LG #cs.AI
  25. Spectral Graph Attention Network with Fast Eigen-approximation
    2020/03/16 by Heng Chang, Chang, Heng, Yu Rong +11 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Social and Information Networks (cs.SI) #Topic Modeling
  26. STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
    2025/05/21 by Li, Zongzhao, Ma, Zongyang, Li, Mingze +6 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  27. Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
    2021/06/14 by Du, Xuefeng, Bian, Tian, Rong, Yu +6 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
    2022/01/25 by Erxue Min, Yu Rong, Min, Erxue +15 · 1 citation
    Computer Science · Physics and Astronomy · Social Sciences · #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #Digital Marketing and Social Media #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  29. Equivariant Graph Hierarchy-Based Neural Networks
    2022/02/22 by Han, Jiaqi, Huang, Wenbing, Xu, Tingyang +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs
    2022/03/31 by Zhang, Jiying, Li, Fuyang, Xiao, Xi +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax
    2022/12/12 by Yang Liu, Yu Rong, Liu, Yang +11 · 1 citation
    Medicine · Social Sciences · #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Urban Transport and Accessibility
  32. Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale
    2023/10/18 by Qichao Wang, Bian Tian, Wang, Qichao +15 · 1 citation
    Social Sciences · #Computational and Text Analysis Methods
  33. Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping
    2024/02/12 by Haoyu Wang, Wang, Haoyu, Guozheng Ma +21 · 1 citation
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Model-Driven Software Engineering Techniques #Modular Robots and Swarm Intelligence
  34. DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models
    2025/07/09 by Rong Yu, Wang, Liang, Tingyang Xu +16 · 3 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Machine Learning (cs.LG) #Machine Learning in Materials Science #Molecular Networks (q-bio.MN) #and Science (cs.CE)
  35. Large Language-Geometry Model: When LLM meets Equivariance
    2025/02/16 by Zongzhao Li, Li, Zongzhao, Jiacheng Cen +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling