Tingyang Xu - RankMe

124 papers A* 34A 4Journal 78Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. CoRR Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2026	J	`jnl`	Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells. CoRR Han Zhang, Guo-Hua Yuan, Chaohao Yuan, Tingyang Xu, Tian Bian, Hong Cheng, Wenbing Huang, Deli Zhao, Yu Rong
2025	J	`jnl`	A Survey of Graph Transformers: Architectures, Theories and Applications. CoRR Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu, Liang Wang, Tingyang Xu, Wenbing Huang, Deli Zhao, Hong Cheng, Yu Rong
2025	J	`jnl`	A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jiying Zhang, Fuyang Li, Xi Xiao, Guanzi Chen, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian
2025	J	`jnl`	A survey of geometric graph neural networks: data structures, models and applications. Frontiers Comput. Sci. Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Deli Zhao, Yang Liu, Yu Rong, Wenbing Huang
2025	J	`jnl`	Attacking and Securing Community Detection: A Game-Theoretic Framework. CoRR Yifan Niu, Aochuan Chen, Tingyang Xu, Jia Li
2025	J	`jnl`	DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models. CoRR Liang Wang, Yu Rong, Tingyang Xu, Zhenyi Zhong, Zhiyuan Liu, Pengju Wang, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang
2025	J	`jnl`	From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language Models. CoRR Zongzhao Li, Xiangzhe Kong, Jiahui Su, Zongyang Ma, Mingze Li, Songyou Li, Yuelin Zhang, Yu Rong, Tingyang Xu, Deli Zhao, Wenbing Huang
2025	A*	`conf`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. ICML Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2025	A*	`conf`	InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. ICLR Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025	J	`jnl`	InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. CoRR Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025	A*	`conf`	Large Language-Geometry Model: When LLM meets Equivariance. ICML Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang
2025	J	`jnl`	Large Language-Geometry Model: When LLM meets Equivariance. CoRR Zongzhao Li, Jiacheng Cen, Bing Su, Wenbing Huang, Tingyang Xu, Yu Rong, Deli Zhao
2025	J	`jnl`	Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning. CoRR LASA Team, Weiwen Xu, Hou Pong Chan, Long Li, Mahani Aljunied, Ruifeng Yuan, Jianyu Wang, Chenghao Xiao, Guizhen Chen, Chaoqun Liu, Zhaodonghui Li, Yu Sun, Junao Shen, Chaojun Wang, Jie Tan, Deli Zhao, Tingyang Xu, Hao Zhang, Yu Rong
2025	J	`jnl`	Natural Language-Assisted Multi-modal Medication Recommendation. CoRR Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2025	A*	`conf`	ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning. EMNLP Yu Sun, Xingyu Qian, Weiwen Xu, Hao Zhang, Chenghao Xiao, Long Li, Deli Zhao, Wenbing Huang, Tingyang Xu, Qifeng Bai, Yu Rong
2025	J	`jnl`	ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning. CoRR Yu Sun, Xingyu Qian, Weiwen Xu, Hao Zhang, Chenghao Xiao, Long Li, Yu Rong, Wenbing Huang, Qifeng Bai, Tingyang Xu
2025	—	`conf`	RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning. ACL (Findings) Yifan Niu, Miao Peng, Nuo Chen, Yatao Bian, Tingyang Xu, Jia Li
2025	J	`jnl`	STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs. CoRR Zongzhao Li, Zongyang Ma, Mingze Li, Songyou Li, Yu Rong, Tingyang Xu, Ziqi Zhang, Deli Zhao, Wen-bing Huang
2025	J	`jnl`	Universally Invariant Learning in Equivariant GNNs. CoRR Jiacheng Cen, Anyi Li, Ning Lin, Tingyang Xu, Yu Rong, Deli Zhao, Zihe Wang, Wenbing Huang
2025	J	`jnl`	VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning. CoRR Ruifeng Yuan, Chenghao Xiao, Sicong Leng, Jianyu Wang, Long Li, Weiwen Xu, Hou Pong Chan, Deli Zhao, Tingyang Xu, Zhongyu Wei, Hao Zhang, Yu Rong
2024	J	`jnl`	A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR 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
2024	A	`conf`	Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng
2024	A	`conf`	Natural Language-Assisted Multi-modal Medication Recommendation. CIKM Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2024	J	`jnl`	Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2024	A*	`conf`	SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2024	J	`jnl`	Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
2024	J	`jnl`	Structure-Aware DropEdge Toward Deep Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2024	A*	`conf`	Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. IJCAI Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King
2023	J	`jnl`	Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
2023	J	`jnl`	Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng
2023	A*	`conf`	Curriculum Graph Poisoning. WWW Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu
2023	A*	`conf`	Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
2023	J	`jnl`	Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
2023	A*	`conf`	DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 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	A*	`conf`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
2023	A*	`conf`	Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. AAAI Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
2023	J	`jnl`	Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu
2023	A*	`conf`	MDM: Molecular Diffusion Model for 3D Molecule Generation. AAAI Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
2023	J	`jnl`	Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. Trans. Mach. Learn. Res. Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang
2023	J	`jnl`	Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2023	J	`jnl`	Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2023	J	`jnl`	Toward Complete-View and High-Level Pose-Based Gait Recognition. IEEE Trans. Inf. Forensics Secur. Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He
2023	J	`jnl`	Towards Controllable Diffusion Models via Reward-Guided Exploration. CoRR Hengtong Zhang, Tingyang Xu
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR 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
2022	J	`jnl`	Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu, Junzhou Huang, Hualiang Jiang, Mingyue Zheng, Xutong Li
2022	J	`jnl`	Cross-dependent graph neural networks for molecular property prediction. Bioinform. Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
2022	—	`conf`	Diversified Multiscale Graph Learning with Graph Self-Correction. TAG-ML Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong
2022	A*	`conf`	Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou
2022	J	`jnl`	DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR 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
2022	A*	`conf`	Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
2022	A*	`conf`	Equivariant Graph Hierarchy-Based Neural Networks. NeurIPS Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong
2022	J	`jnl`	Equivariant Graph Hierarchy-Based Neural Networks. CoRR Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang
2022	A*	`conf`	Equivariant Graph Mechanics Networks with Constraints. ICLR Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2022	J	`jnl`	Equivariant Graph Mechanics Networks with Constraints. CoRR Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2022	J	`jnl`	GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
2022	J	`jnl`	Geometrically Equivariant Graph Neural Networks: A Survey. CoRR Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang
2022	J	`jnl`	Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
2022	J	`jnl`	Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. CoRR Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
2022	J	`jnl`	Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs. CoRR Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Yatao Bian
2022	—	`conf`	Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
2022	A*	`conf`	Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022	J	`jnl`	Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference. CoRR Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian
2022	A*	`conf`	Local Augmentation for Graph Neural Networks. ICML Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2022	J	`jnl`	MDM: Molecular Diffusion Model for 3D Molecule Generation. CoRR Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
2022	J	`jnl`	Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou
2022	J	`jnl`	Multi-instance learning of graph neural networks for aqueous pKa prediction. Bioinform. Jiacheng Xiong, Zhaojun Li, Guangchao Wang, Zunyun Fu, Feisheng Zhong, Tingyang Xu, Xiaomeng Liu, Ziming Huang, Xiaohong Liu, Kaixian Chen, Hualiang Jiang, Mingyue Zheng
2022	A*	`conf`	Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao
2022	J	`jnl`	Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang
2022	J	`jnl`	Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang
2022	J	`jnl`	Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He
2022	J	`jnl`	Towards Complete-View and High-Level Pose-based Gait Recognition. CoRR Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He
2022	J	`jnl`	Transformer for Graphs: An Overview from Architecture Perspective. CoRR Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong
2022	J	`jnl`	Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang
2021	J	`jnl`	A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi
2021	J	`jnl`	Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang
2021	J	`jnl`	Diversified Multiscale Graph Learning with Graph Self-Correction. CoRR Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang
2021	J	`jnl`	Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network. Bioinform. Chen Cui, Xiaoyu Ding, Dingyan Wang, Lifan Chen, Fu Xiao, Tingyang Xu, Mingyue Zheng, Xiaomin Luo, Hualiang Jiang, Kaixian Chen
2021	J	`jnl`	Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. CoRR Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang
2021	A*	`conf`	Graph Information Bottleneck for Subgraph Recognition. ICLR Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2021	J	`jnl`	Local Augmentation for Graph Neural Networks. CoRR Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
2021	J	`jnl`	MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. Briefings Bioinform. Qifeng Bai, Shuoyan Tan, Tingyang Xu, Huanxiang Liu, Junzhou Huang, Xiaojun Yao
2021	J	`jnl`	Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao
2021	A*	`conf`	Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu
2021	A*	`conf`	On Self-Distilling Graph Neural Network. IJCAI Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
2021	J	`jnl`	PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels. CoRR Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang
2021	J	`jnl`	Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2021	A	`conf`	Spectral Graph Attention Network with Fast Eigen-approximation. CIKM Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
2021	J	`jnl`	Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. CoRR Junchi Yu, Tingyang Xu, Ran He
2021	A	`conf`	Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang
2020	A*	`conf`	A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. AAAI Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
2020	A*	`conf`	Deep Graph Learning: Foundations, Advances and Applications. KDD Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
2020	A*	`conf`	Deep Multimodal Fusion by Channel Exchanging. NeurIPS Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
2020	J	`jnl`	Deep Multimodal Fusion by Channel Exchanging. CoRR Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang
2020	A*	`conf`	DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. ICLR Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang
2020	J	`jnl`	Dual Message Passing Neural Network for Molecular Property Prediction. CoRR Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang
2020	J	`jnl`	GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. CoRR Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
2020	J	`jnl`	Graph Information Bottleneck for Subgraph Recognition. CoRR Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2020	A*	`conf`	Graph Representation Learning via Graphical Mutual Information Maximization. WWW Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020	J	`jnl`	Graph Representation Learning via Graphical Mutual Information Maximization. CoRR Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020	J	`jnl`	Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
2020	J	`jnl`	Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang
2020	J	`jnl`	On Self-Distilling Graph Neural Network. CoRR Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang
2020	—	`conf`	Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. BCB Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
2020	A*	`conf`	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
2020	J	`jnl`	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang
2020	A*	`conf`	Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
2020	J	`jnl`	Spectral Graph Attention Network. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu
2020	J	`jnl`	Tackling Over-Smoothing for General Graph Convolutional Networks. CoRR Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
2019	A*	`conf`	DTWNet: a Dynamic Time Warping Network. NeurIPS Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran
2019	A*	`conf`	Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang
2019	J	`jnl`	Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. CoRR Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
2019	J	`jnl`	The General Black-box Attack Method for Graph Neural Networks. CoRR Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang
2019	J	`jnl`	The Truly Deep Graph Convolutional Networks for Node Classification. CoRR Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang
2019	J	`jnl`	Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang
2018	A*	`conf`	Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. AAAI Ko-Shin Chen, Tingyang Xu, Jinbo Bi
2018	J	`jnl`	Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang
2017	—	`conf`	Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
2016	J	`jnl`	Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
2015	A*	`conf`	Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. KDD Tingyang Xu, Jiangwen Sun, Jinbo Bi
2015	A*	`conf`	Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi
2015	—	`conf`	Quantifying feed efficiency of dairy cattle for genome-wide association analysis. BIBM Tingyang Xu, Jiangwen Sun, Erin E. Connor, Jinbo Bi
2014	—	`conf`	A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu
2014	—	`conf`	Translating Effective Paper-Based Disease Management into Electronic Medical Systems. ICHI Tingyang Xu, Jinbo Bi, Michelle M. Cloutier