Yu Rong

203 papers A* 50A 10B 1Journal 126Unranked 16
YearRankTypeTitle / 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
2026 A conf
ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning.
WSDM
Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong
2026 J jnl
Precedent-Informed Reasoning: Mitigating Overthinking in Large Reasoning Models via Test-Time Precedent Learning.
CoRR
Qianyue Wang, Jinwu Hu, Huanxiang Lin, Bolin Chen, Zhiquan Wen, Yaofo Chen, Yu Rong, Mingkui Tan
2026 J jnl
Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning.
CoRR
Xuan Li, Zhanke Zhou, Zongze Li, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
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 A* conf
Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators.
SIGIR
Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi
2025 A* conf
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction.
ICDE
Shuheng Fang, Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Zhixun Li
2025 — conf
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations.
ACL (1)
Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong
2025 J jnl
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations.
CoRR
Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong
2025 — conf
Annotation-guided Protein Design with Multi-Level Domain Alignment.
KDD (1)
Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong
2025 A* conf
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation.
ICLR
Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong
2025 J jnl
Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers.
CoRR
Yiran Zhao, Chaoqun Liu, Yue Deng, Jiahao Ying, Mahani Aljunied, Zhaodonghui Li, Lidong Bing, Hou Pong Chan, Yu Rong, Deli Zhao, Wenxuan Zhang
2025 J jnl
Can Large Language Models Be Query Optimizer for Relational Databases?
CoRR
Jie Tan, Kangfei Zhao, Rui Li, Jeffrey Xu Yu, Chengzhi Piao, Hong Cheng, Helen Meng, Deli Zhao, Yu Rong
2025 J jnl
Can Large Language Models Be Query Optimizer for Relational Databases?
Proc. ACM Manag. Data
Jie Tan, Kangfei Zhao, Rui Li, Jeffrey Xu Yu, Chengzhi Piao, Hong Cheng, Helen Meng, Deli Zhao, Yu Rong
2025 — conf
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents.
EMNLP (Findings)
Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Yu Rong, Deli Zhao, Tian Feng, Lidong Bing
2025 A* conf
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer.
ICLR
Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
2025 J jnl
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer.
CoRR
Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, 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
Diffusion Models for Molecules: A Survey of Methods and Tasks.
CoRR
Liang Wang, Chao Song, Zhiyuan Liu, Yu Rong, Qiang Liu, Shu Wu, Liang Wang
2025 — conf
Disentangling Language and Culture for Evaluating Multilingual Large Language Models.
ACL (1)
Jiahao Ying, Wei Tang, Yiran Zhao, Yixin Cao, Yu Rong, Wenxuan Zhang
2025 J jnl
Disentangling Language and Culture for Evaluating Multilingual Large Language Models.
CoRR
Jiahao Ying, Wei Tang, Yiran Zhao, Yixin Cao, Yu Rong, Wenxuan Zhang
2025 — conf
Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting.
KDD (2)
Yang Liu, Zinan Zheng, Yu Rong, Deli Zhao, Hong Cheng, Jia Li
2025 J jnl
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving.
CoRR
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong
2025 — conf
FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving.
ACL (1)
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong
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
From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media.
CIKM
Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao
2025 J jnl
From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media.
CoRR
Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao
2025 — conf
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning.
EMNLP (Findings)
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Deli Zhao, Anh Tuan Luu, Yu Rong
2025 J jnl
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning.
CoRR
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Deli Zhao, Anh Tuan Luu, Yu Rong
2025 A conf
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation.
RecSys
Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi
2025 J jnl
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation.
CoRR
Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tang, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi
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
MGCP: A Multi-Grained Correlation based Prediction Network for multivariate time series.
Neurocomputing
Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao
2025 J jnl
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources.
CoRR
Sicong Leng, Jing Wang, Jiaxi Li, Hao Zhang, Zhiqiang Hu, Boqiang Zhang, Yuming Jiang, Hang Zhang, Xin Li, Lidong Bing, Deli Zhao, Wei Lu, Yu Rong, Aixin Sun, Shijian Lu
2025 J jnl
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey.
CoRR
Zhixun Li, Bin Cao, Rui Jiao, Liang Wang, Ding Wang, Yang Liu, Dingshuo Chen, Jia Li, Qiang Liu, Yu Rong, Liang Wang, Tong-yi Zhang, Jeffrey Xu Yu
2025 A* conf
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra.
ICLR
Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang
2025 J jnl
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra.
CoRR
Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang
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 J jnl
PLACE: Prompt Learning for Attributed Community Search.
CoRR
Shuheng Fang, Kangfei Zhao, Rener Zhang, Yu Rong, Jeffrey Xu Yu
2025 J jnl
ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning.
CoRR
Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong
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 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
Scaling Language-Centric Omnimodal Representation Learning.
CoRR
Chenghao Xiao, Hou Pong Chan, Hao Zhang, Weiwen Xu, Mahani Aljunied, Yu Rong
2025 J jnl
SeaLLMs-Audio: Large Audio-Language Models for Southeast Asia.
CoRR
Chaoqun Liu, Mahani Aljunied, Guizhen Chen, Hou Pong Chan, Weiwen Xu, Yu Rong, Wenxuan Zhang
2025 J jnl
The Rise of Parameter Specialization for Knowledge Storage in Large Language Models.
CoRR
Yihuai Hong, Yiran Zhao, Wei Tang, Yang Deng, Yu Rong, Wenxuan Zhang
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 J jnl
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations.
CoRR
Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi
2024 J jnl
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction.
CoRR
Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu
2024 J jnl
Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation.
CoRR
Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong
2024 J jnl
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents.
CoRR
Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Deli Zhao, Yu Rong, Tian Feng, Lidong Bing
2024 J jnl
Equivariant Graph Learning for High-density Crowd Trajectories Modeling.
Trans. Mach. Learn. Res.
Yang Liu, Zinan Zheng, Yu Rong, Jia Li
2024 J jnl
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics.
CoRR
Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
2024 J jnl
Functional Protein Design with Local Domain Alignment.
CoRR
Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong
2024 J jnl
Graph Pre-Training Models Are Strong Anomaly Detectors.
CoRR
Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung
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 J jnl
Inductive Attributed Community Search: to Learn Communities across Graphs.
Proc. VLDB Endow.
Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu
2024 J jnl
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series.
CoRR
Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao
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 A* conf
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel.
ICLR
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
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
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.
KDD
Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
2024 J jnl
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning.
CoRR
Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
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
Solving the non-submodular network collapse problems via Decision Transformer.
Neural Networks
Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong
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 J jnl
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks.
J. Comput. Biol.
Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
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
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
Deep Insights into Noisy Pseudo Labeling on Graph Data.
NeurIPS
Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
2023 J jnl
Deep Insights into Noisy Pseudo Labeling on Graph Data.
CoRR
Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
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
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs.
AAAI
Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu
2023 A* conf
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics.
NeurIPS
Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang
2023 J jnl
Exploiting node-feature bipartite graph in graph convolutional networks.
Inf. Sci.
Yuli Jiang, Huaijia Lin, Ye Li, Yu Rong, Hong Cheng, Xin Huang
2023 J jnl
Finding Critical Users in Social Communities via Graph Convolutions.
IEEE Trans. Knowl. Data Eng.
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
2023 A conf
Geometric Graph Learning for Protein Mutation Effect Prediction.
CIKM
Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao
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
Learned sketch for subgraph counting: a holistic approach.
VLDB J.
Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong
2023 — conf
Learning with Small Data: Subgraph Counting Queries.
DASFAA (3)
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong
2023 J jnl
Learning with Small Data: Subgraph Counting Queries.
Data Sci. Eng.
Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong
2023 J jnl
Long-Range Neural Atom Learning for Molecular Graphs.
CoRR
Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
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 A* conf
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation.
KDD
Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao
2023 J jnl
Semi-Supervised Hierarchical Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Jia Li, Yongfeng Huang, Heng Chang, 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
scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data.
Briefings Bioinform.
Wei Li, Bin Xiang, Fan Yang, Yu Rong, Yanbin Yin, Jianhua Yao, Han Zhang
2022 J jnl
3D Equivariant Molecular Graph Pretraining.
CoRR
Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu
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 A* conf
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract).
ICDE
Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang
2022 A* conf
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport.
IJCAI
Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
2022 J jnl
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport.
CoRR
Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
2022 A* conf
Frustratingly Easy Transferability Estimation.
ICML
Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei
2022 J jnl
Geometrically Equivariant Graph Neural Networks: A Survey.
CoRR
Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang
2022 J jnl
Graph Convolutional Module for Temporal Action Localization in Videos.
IEEE Trans. Pattern Anal. Mach. Intell.
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
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
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data.
BIBM
Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo
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
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 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
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed.
Proc. VLDB Endow.
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
2022 — conf
Robust self-training strategy for various molecular biology prediction tasks.
BCB
Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang
2022 J jnl
Semi-Supervised Hierarchical Graph Classification.
CoRR
Jia Li, Yongfeng Huang, Heng Chang, Yu Rong
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
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
Vertical Federated Linear Contextual Bandits.
CoRR
Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu
2021 — conf
A Learned Sketch for Subgraph Counting.
SIGMOD Conference
Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong
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
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
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.
ICCV
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021 J jnl
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation.
CoRR
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang
2021 J jnl
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks.
CoRR
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr
2021 J jnl
Frustratingly Easy Transferability Estimation.
CoRR
Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang
2021 — conf
Gradient-Norm Based Attentive Loss for Molecular Property Prediction.
BIBM
Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang
2021 J jnl
Graph Convolutional Module for Temporal Action Localization in Videos.
CoRR
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
2021 A* conf
Graph Information Bottleneck for Subgraph Recognition.
ICLR
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
2021 — conf
Graph Ordering: Towards the Optimal by Learning.
WISE (1)
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang
2021 A* conf
Hierarchical Graph Capsule Network.
AAAI
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
2021 A* conf
Learning Diverse-Structured Networks for Adversarial Robustness.
ICML
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
2021 J jnl
Learning Diverse-Structured Networks for Adversarial Robustness.
CoRR
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama
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
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
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search.
CoRR
Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, 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 — conf
Towards Expectation-Maximization by SQL in RDBMS.
DASFAA (2)
Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
2021 J jnl
Towards Expectation-Maximization by SQL in RDBMS.
CoRR
Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang
2021 B conf
Towards Feature-free TSP Solver Selection: A Deep Learning Approach.
IJCNN
Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong
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
Adversarial Attack on Community Detection by Hiding Individuals.
WWW
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020 J jnl
Adversarial Attack on Community Detection by Hiding Individuals.
CoRR
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, 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
Dirichlet Graph Variational Autoencoder.
NeurIPS
Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020 J jnl
Dirichlet Graph Variational Autoencoder.
CoRR
Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, 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 J jnl
Graph Ordering: Towards the Optimal by Learning.
CoRR
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang
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
Hierarchical Graph Capsule Network.
CoRR
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
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
Leveraging TSP Solver Complementarity via Deep Learning.
CoRR
Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu
2020 J jnl
Maximizing the Reduction Ability for Near-maximum Independent Set Computation.
Proc. VLDB Endow.
Chengzhi Piao, Weiguo Zheng, Yu Rong, Hong Cheng
2020 J jnl
On Self-Distilling Graph Neural Network.
CoRR
Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, 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 J jnl
Adversarial Representation Learning on Large-Scale Bipartite Graphs.
CoRR
Chaoyang He, Tian Xie, Yu Rong, Wen-bing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi
2019 A* conf
Graph Convolutional Networks for Temporal Action Localization.
ICCV
Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang
2019 J jnl
Graph Convolutional Networks for Temporal Action Localization.
CoRR
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan
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 A* conf
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.
WWW
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
2019 J jnl
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.
CoRR
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, 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
Adaptive Sampling Towards Fast Graph Representation Learning.
NeurIPS
Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang
2018 J jnl
Adaptive Sampling Towards Fast Graph Representation Learning.
CoRR
Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang
2018 — conf
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion.
DASFAA (2)
Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang
2018 J jnl
On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches.
CoRR
Jie Liu, Yu Rong, Martin Takác, Junzhou Huang
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
2018 A* conf
TATC: Predicting Alzheimer's Disease with Actigraphy Data.
KDD
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng
2017 A conf
Minimizing Dependence between Graphs.
CIKM
Yu Rong, Hong Cheng
2016 A conf
A Model-Free Approach to Infer the Diffusion Network from Event Cascade.
CIKM
Yu Rong, Qiankun Zhu, Hong Cheng
2015 A* conf
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events.
KDD
Yu Rong, Hong Cheng, Zhiyu Mo
2014 A* conf
A Monte Carlo algorithm for cold start recommendation.
WWW
Yu Rong, Xiao Wen, Hong Cheng