Tingyang Xu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 94

Top Topics

Graph Embedding

Gait Recognition

Top Venues

Publications

Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR (2024)
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR (2024)
Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR (2024)
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
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI (2023)
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR (2023)
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. Trans. Mach. Learn. Res. 2023 (2023)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR (2023)
Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. AAAI (2023)
Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16 (8) (2023)
Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR (2023)
Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He
Toward Complete-View and High-Level Pose-Based Gait Recognition. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE (2023)
Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu
Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR (2023)
Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
Curriculum Graph Poisoning. WWW (2023)
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
MDM: Molecular Diffusion Model for 3D Molecule Generation. AAAI (2023)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI (2023)
Hengtong Zhang, Tingyang Xu
Towards Controllable Diffusion Models via Reward-Guided Exploration. CoRR (2023)
Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong
Equivariant Graph Hierarchy-Based Neural Networks. NeurIPS (2022)
Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang
Equivariant Graph Hierarchy-Based Neural Networks. CoRR (2022)
Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Equivariant Graph Mechanics Networks with Constraints. ICLR (2022)
Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR (2022)
Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
Local Augmentation for Graph Neural Networks. ICML (2022)
Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
Transformer for Graphs: An Overview from Architecture Perspective. CoRR (2022)
Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR (2022)
Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR (2022)
Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li
Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics 14 (1) (2022)
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
MDM: Molecular Diffusion Model for 3D Molecule Generation. CoRR (2022)
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR (2022)
Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR (2022)
Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Equivariant Graph Mechanics Networks with Constraints. CoRR (2022)
Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR (2022)
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS (2022)
Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR (2022)
Jiacheng Xiong, Zhaojun Li, Guangchao Wang, Zunyun Fu, Feisheng Zhong, Tingyang Xu, Xiaomeng Liu, Ziming Huang, Xiaohong Liu, Kaixian Chen, Hualiang Jiang, Mingyue Zheng
Multi-instance learning of graph neural networks for aqueous pKa prediction. Bioinform. 38 (3) (2022)
Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang
Geometrically Equivariant Graph Neural Networks: A Survey. CoRR (2022)
Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW (2022)
Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He
Towards Complete-View and High-Level Pose-based Gait Recognition. CoRR (2022)
Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR (2022)
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
Cross-dependent graph neural networks for molecular property prediction. Bioinform. 38 (7) (2022)
Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG (2022)
Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference. CoRR (2022)
Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126 (2022)
Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. CoRR (2022)
Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs. CoRR (2022)
Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong
Diversified Multiscale Graph Learning with Graph Self-Correction. TAG-ML (2022)
Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR (2022)
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR (2022)
Junchi Yu, Tingyang Xu, Ran He
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. CoRR (2021)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
Spectral Graph Attention Network with Fast Eigen-approximation. CIKM (2021)
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
On Self-Distilling Graph Neural Network. IJCAI (2021)
Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang
Diversified Multiscale Graph Learning with Graph Self-Correction. CoRR (2021)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. CoRR (2021)
Qifeng Bai, Shuoyan Tan, Tingyang Xu, Huanxiang Liu, Junzhou Huang, Xiaojun Yao
MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. Briefings Bioinform. 22 (3) (2021)
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR (2021)
Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS (2021)
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Graph Information Bottleneck for Subgraph Recognition. ICLR (2021)
Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM (2021)
Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. CoRR (2021)
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang
PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels. CoRR (2021)
Chen Cui, Xiaoyu Ding, Dingyan Wang, Lifan Chen, Fu Xiao, Tingyang Xu, Mingyue Zheng, Xiaomin Luo, Hualiang Jiang, Kaixian Chen
Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network. Bioinform. 37 (18) (2021)
Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi
A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. 8 (8) (2021)
Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
Local Augmentation for Graph Neural Networks. CoRR (2021)
Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457 (2021)
Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Tackling Over-Smoothing for General Graph Convolutional Networks. CoRR (2020)
Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
Dual Message Passing Neural Network for Molecular Property Prediction. CoRR (2020)
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
Deep Multimodal Fusion by Channel Exchanging. NeurIPS (2020)
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI (2020)
Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. ICLR (2020)
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS (2020)
Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. BCB (2020)
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Graph Information Bottleneck for Subgraph Recognition. CoRR (2020)
Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
Deep Multimodal Fusion by Channel Exchanging. CoRR (2020)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. AAAI (2020)
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR (2020)
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
On Self-Distilling Graph Neural Network. CoRR (2020)
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
Graph Representation Learning via Graphical Mutual Information Maximization. CoRR (2020)
Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
Deep Graph Learning: Foundations, Advances and Applications. KDD (2020)
Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. 143 (2020)
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. CoRR (2020)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
Spectral Graph Attention Network. CoRR (2020)
Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR (2020)
Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
Graph Representation Learning via Graphical Mutual Information Maximization. WWW (2020)
Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang
Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR (2019)
Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang
Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR (2019)
Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. CoRR (2019)
Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
The General Black-box Attack Method for Graph Neural Networks. CoRR (2019)
Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran
DTWNet: a Dynamic Time Warping Network. NeurIPS (2019)
Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang
The Truly Deep Graph Convolutional Networks for Node Classification. CoRR (2019)
Ko-Shin Chen, Tingyang Xu, Jinbo Bi
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. AAAI (2018)
Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang
Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR (2018)
Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData (2017)
Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR (2016)
Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML (2015)
Tingyang Xu, Jiangwen Sun, Jinbo Bi
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. KDD (2015)
Tingyang Xu, Jiangwen Sun, Erin E. Connor, Jinbo Bi
Quantifying feed efficiency of dairy cattle for genome-wide association analysis. BIBM (2015)
Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu
A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM (2014)
Tingyang Xu, Jinbo Bi, Michelle M. Cloutier
Translating Effective Paper-Based Disease Management into Electronic Medical Systems. ICHI (2014)