Tingyang Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
12
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning. | Yifan Niu, Miao Peng, Nuo Chen, Yatao Bian, Tingyang Xu, Jia Li |
| 2025 | EMNLP | ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning. | Yu Sun, Xingyu Qian, Weiwen Xu, Hao Zhang, Chenghao Xiao, Long Li, Deli Zhao, Wenbing Huang, Tingyang Xu, Qifeng Bai, Yu Rong |
| 2025 | ICLR | InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. | Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li |
| 2025 | ICML | IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. | Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li |
| 2025 | ICML | Large Language-Geometry Model: When LLM meets Equivariance. | Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang |
| 2024 | CIKM | Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. | Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng |
| 2024 | CIKM | Natural Language-Assisted Multi-modal Medication Recommendation. | Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng |
| 2024 | ICLR | SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. | Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong |
| 2024 | IJCAI | Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. | Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King |
| 2023 | AAAI | Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. | Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li |
| 2023 | AAAI | MDM: Molecular Diffusion Model for 3D Molecule Generation. | Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong |
| 2023 | AAAI | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. | Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian |
| 2023 | AAAI | Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. | Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li |
| 2023 | ICDE | Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. | Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng |
| 2023 | WWW | Curriculum Graph Poisoning. | Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu |
| 2022 | ICLR | Equivariant Graph Mechanics Networks with Constraints. | Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang |
| 2022 | ICLR | Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. | Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang |
| 2022 | ICML | Local Augmentation for Graph Neural Networks. | Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu |
| 2022 | WWW | Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. | Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou |
| 2022 | SIGIR | Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. | Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao |
| 2021 | CIKM | Spectral Graph Attention Network with Fast Eigen-approximation. | Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu |
| 2021 | CIKM | Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. | Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang |
| 2021 | ICLR | Graph Information Bottleneck for Subgraph Recognition. | Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He |
| 2021 | IJCAI | On Self-Distilling Graph Neural Network. | Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2020 | AAAI | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. | Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang |
| 2020 | AAAI | A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. | Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang |
| 2020 | ICLR | DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. | Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang |
| 2020 | KDD | Deep Graph Learning: Foundations, Advances and Applications. | Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
| 2020 | WWW | Graph Representation Learning via Graphical Mutual Information Maximization. | Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2019 | CVPR | Progressive Feature Alignment for Unsupervised Domain Adaptation. | Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang |
| 2018 | AAAI | Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. | Ko-Shin Chen, Tingyang Xu, Jinbo Bi |
| 2015 | ICML | Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. | Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi |
| 2015 | KDD | Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. | Tingyang Xu, Jiangwen Sun, Jinbo Bi |