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ORCIDYu Rong 0001
荣钰
Person information
- unicode name: 荣钰
- affiliation: Alibaba DAMO Academy
- affiliation (former): Tecent AI Lab, Shenzhen, China
- affiliation (former, PhD 2016): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Yu Rong — disambiguation page
- Yu Rong 0002
![[0000-0003-3365-5786]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3365-5786")
— Arizona State University (ASU), Center for Wireless Information Systems and Computational Architectures (WISCA), Tempe, AZ, USA - Yu Rong 0003 — Meta Reality Labs, Pittsburgh, PA, USA (and 1 more)
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2020 – today
- 2024
[j21]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks. J. Comput. Biol. 31(3): 213-228 (2024)- [j20]Kaili Ma, Han Yang, Shanchao Yang, Kangfei Zhao, Lanqing Li, Yongqiang Chen, Junzhou Huang, James Cheng, Yu Rong:
Solving the non-submodular network collapse problems via Decision Transformer. Neural Networks 176: 106328 (2024) - [j19]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): 1650-1663 (2024) - [j18]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
Inductive Attributed Community Search: to Learn Communities across Graphs. Proc. VLDB Endow. 17(10): 2576-2589 (2024) - [j17]Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Structure-Aware DropEdge Toward Deep Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15565-15577 (2024) - [c58]Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng:
Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM 2024: 130-140 - [c57]Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng:
Natural Language-Assisted Multi-modal Medication Recommendation. CIKM 2024: 2200-2209 - [c56]Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han:
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. ICLR 2024 - [c55]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 - [c54]Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong:
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. KDD 2024: 4548-4558 - [i66]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 abs/2403.00485 (2024) - [i65]Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu:
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. CoRR abs/2403.17740 (2024) - [i64]Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong:
Functional Protein Design with Local Domain Alignment. CoRR abs/2404.16866 (2024) - [i63]Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong:
Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation. CoRR abs/2404.16880 (2024) - [i62]Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang:
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics. CoRR abs/2405.12868 (2024) - [i61]Zhicheng Chen, Xi Xiao, Ke Xu, Zhong Zhang, Yu Rong, Qing Li, Guojun Gan, Zhiqiang Xu, Peilin Zhao:
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series. CoRR abs/2405.19661 (2024) - [i60]Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong:
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning. CoRR abs/2406.16295 (2024) - [i59]Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi:
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations. CoRR abs/2410.11719 (2024) - [i58]Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung:
Graph Pre-Training Models Are Strong Anomaly Detectors. CoRR abs/2410.18487 (2024) - 2023
- [j16]Wei Li, Bin Xiang, Fan Yang, Yu Rong, Yanbin Yin, Jianhua Yao, Han Zhang:
scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data. Briefings Bioinform. 24(6) (2023) - [j15]Kangfei Zhao, Zongyan He, Jeffrey Xu Yu, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. Data Sci. Eng. 8(3): 292-305 (2023) - [j14]Yuli Jiang, Huaijia Lin, Ye Li, Yu Rong, Hong Cheng, Xin Huang:
Exploiting node-feature bipartite graph in graph convolutional networks. Inf. Sci. 628: 409-423 (2023) - [j13]Jia Li, Yongfeng Huang, Heng Chang, Yu Rong:
Semi-Supervised Hierarchical Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6265-6276 (2023) - [j12]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): 1817-1829 (2023) - [j11]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions. IEEE Trans. Knowl. Data Eng. 35(1): 456-468 (2023) - [j10]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): 4499-4513 (2023) - [j9]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) - [j8]Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, Hao Zhang, Yu Rong:
Learned sketch for subgraph counting: a holistic approach. VLDB J. 32(5): 937-962 (2023) - [c53]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: 8023-8031 - [c52]Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu:
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. AAAI 2023: 8096-8104 - [c51]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: 14347-14355 - [c50]Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao:
Geometric Graph Learning for Protein Mutation Effect Prediction. CIKM 2023: 3412-3422 - [c49]Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong:
Learning with Small Data: Subgraph Counting Queries. DASFAA (3) 2023: 308-319 - [c48]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: 3467-3480 - [c47]Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao:
Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. KDD 2023: 154-166 - [c46]Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung:
Deep Insights into Noisy Pseudo Labeling on Graph Data. NeurIPS 2023 - [c45]Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang:
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics. NeurIPS 2023 - [i57]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 abs/2303.02405 (2023) - [i56]Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR abs/2306.12091 (2023) - [i55]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 abs/2308.13212 (2023) - [i54]Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung:
Deep Insights into Noisy Pseudo Labeling on Graph Data. CoRR abs/2310.01634 (2023) - [i53]Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han:
Long-Range Neural Atom Learning for Molecular Graphs. CoRR abs/2311.01276 (2023) - 2022
- [j7]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): 2003-2009 (2022) - [j6]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): 44 (2022) - [j5]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6209-6223 (2022) - [j4]Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He:
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126: 108581 (2022) - [j3]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. 15(6): 1243-1255 (2022) - [c44]Hehuan Ma, Feng Jiang, Yu Rong, Yuzhi Guo, Junzhou Huang:
Robust self-training strategy for various molecular biology prediction tasks. BCB 2022: 34:1-34:5 - [c43]Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo:
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM 2022: 102-107 - [c42]Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). ICDE 2022: 1539-1540 - [c41]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Equivariant Graph Mechanics Networks with Constraints. ICLR 2022 - [c40]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 - [c39]Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei:
Frustratingly Easy Transferability Estimation. ICML 2022: 9201-9225 - [c38]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: 14054-14072 - [c37]Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian:
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. IJCAI 2022: 3730-3736 - [c36]Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong:
Equivariant Graph Hierarchy-Based Neural Networks. NeurIPS 2022 - [c35]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: 353-362 - [c34]Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong:
Diversified Multiscale Graph Learning with Graph Self-Correction. TAG-ML 2022: 48-54 - [c33]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: 1148-1158 - [i52]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 abs/2201.09637 (2022) - [i51]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 abs/2201.13311 (2022) - [i50]Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang:
Geometrically Equivariant Graph Neural Networks: A Survey. CoRR abs/2202.07230 (2022) - [i49]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 abs/2202.08455 (2022) - [i48]Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang:
Equivariant Graph Hierarchy-Based Neural Networks. CoRR abs/2202.10643 (2022) - [i47]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Equivariant Graph Mechanics Networks with Constraints. CoRR abs/2203.06442 (2022) - [i46]Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu, Wenbing Huang:
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR abs/2203.07988 (2022) - [i45]Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian:
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport. CoRR abs/2203.10453 (2022) - [i44]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 abs/2203.16939 (2022) - [i43]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 abs/2205.10014 (2022) - [i42]Jia Li, Yongfeng Huang, Heng Chang, Yu Rong:
Semi-Supervised Hierarchical Graph Classification. CoRR abs/2206.05416 (2022) - [i41]Xueyi Liu, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang, Junzhou Huang:
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR abs/2206.11959 (2022) - [i40]Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu:
3D Equivariant Molecular Graph Pretraining. CoRR abs/2207.08824 (2022) - [i39]Zeyu Cao, Zhipeng Liang, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao, Bingzhe Wu:
Vertical Federated Linear Contextual Bandits. CoRR abs/2210.11050 (2022) - [i38]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 abs/2212.05707 (2022) - 2021
- [j2]Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang, Peilin Zhao:
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457: 193-202 (2021) - [c32]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. AAAI 2021: 10603-10611 - [c31]Hehuan Ma, Yu Rong, Boyang Liu, Yuzhi Guo, Chaochao Yan, Junzhou Huang:
Gradient-Norm Based Attentive Loss for Molecular Property Prediction. BIBM 2021: 497-502 - [c30]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: 1008-1017 - [c29]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network with Fast Eigen-approximation. CIKM 2021: 2905-2909 - [c28]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. DASFAA (2) 2021: 778-794 - [c27]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. ICCV 2021: 9174-9183 - [c26]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. ICLR 2021 - [c25]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. ICML 2021: 2880-2891 - [c24]Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. IJCAI 2021: 2278-2284 - [c23]Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong:
Towards Feature-free TSP Solver Selection: A Deep Learning Approach. IJCNN 2021: 1-8 - [c22]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: 25058-25071 - [c21]Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong:
A Learned Sketch for Subgraph Counting. SIGMOD Conference 2021: 2142-2155 - [c20]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. WISE (1) 2021: 423-437 - [i37]Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang:
Towards Expectation-Maximization by SQL in RDBMS. CoRR abs/2101.09094 (2021) - [i36]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. CoRR abs/2102.01886 (2021) - [i35]Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang:
Diversified Multiscale Graph Learning with Graph Self-Correction. CoRR abs/2103.09754 (2021) - [i34]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR abs/2103.11155 (2021) - [i33]Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang:
QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR abs/2104.03583 (2021) - [i32]Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR abs/2104.07145 (2021) - [i31]Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang:
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2105.10843 (2021) - [i30]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 abs/2105.12419 (2021) - [i29]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 abs/2106.02938 (2021) - [i28]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 abs/2106.07451 (2021) - [i27]Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang:
Frustratingly Easy Transferability Estimation. CoRR abs/2106.09362 (2021) - [i26]Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. CoRR abs/2109.03856 (2021) - [i25]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. CoRR abs/2112.00302 (2021) - 2020
- [j1]Chengzhi Piao, Weiguo Zheng, Yu Rong, Hong Cheng:
Maximizing the Reduction Ability for Near-maximum Independent Set Computation. Proc. VLDB Endow. 13(11): 2466-2478 (2020) - [c19]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: 549-556 - [c18]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: 3389-3396 - [c17]Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang:
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. ICLR 2020 - [c16]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: 3555-3556 - [c15]Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. NeurIPS 2020 - [c14]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 - [c13]Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang:
Deep Multimodal Fusion by Channel Exchanging. NeurIPS 2020 - [c12]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. WWW 2020: 259-270 - [c11]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. WWW 2020: 917-927 - [i24]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 abs/2001.06362 (2020) - [i23]Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang:
Graph Ordering: Towards the Optimal by Learning. CoRR abs/2001.06631 (2020) - [i22]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. CoRR abs/2001.07933 (2020) - [i21]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. CoRR abs/2002.01169 (2020) - [i20]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network. CoRR abs/2003.07450 (2020) - [i19]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 abs/2005.13607 (2020) - [i18]Kangfei Zhao, Shengcai Liu, Yu Rong, Jeffrey Xu Yu:
Leveraging TSP Solver Complementarity via Deep Learning. CoRR abs/2006.00715 (2020) - [i17]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 abs/2007.02835 (2020) - [i16]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 abs/2007.05970 (2020) - [i15]Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Tackling Over-Smoothing for General Graph Convolutional Networks. CoRR abs/2008.09864 (2020) - [i14]Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. CoRR abs/2010.04408 (2020) - [i13]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. CoRR abs/2010.05563 (2020) - [i12]Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. CoRR abs/2011.02255 (2020) - [i11]Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang:
Deep Multimodal Fusion by Channel Exchanging. CoRR abs/2011.05005 (2020) - [i10]Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. CoRR abs/2012.08734 (2020)
2010 – 2019
- 2019
- [c10]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: 627-636 - [c9]Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang:
Graph Convolutional Networks for Temporal Action Localization. ICCV 2019: 7093-7102 - [c8]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW 2019: 972-982 - [i9]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR abs/1904.05003 (2019) - [i8]Chaoyang He, Tian Xie, Yu Rong, Wen-bing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi:
Adversarial Representation Learning on Large-Scale Bipartite Graphs. CoRR abs/1906.11994 (2019) - [i7]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 abs/1907.00544 (2019) - [i6]Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang:
The Truly Deep Graph Convolutional Networks for Node Classification. CoRR abs/1907.10903 (2019) - [i5]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 abs/1908.01297 (2019) - [i4]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Networks for Temporal Action Localization. CoRR abs/1909.03252 (2019) - 2018
- [c7]Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang:
Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. DASFAA (2) 2018: 457-473 - [c6]Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng:
TATC: Predicting Alzheimer's Disease with Actigraphy Data. KDD 2018: 509-518 - [c5]Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang:
Adaptive Sampling Towards Fast Graph Representation Learning. NeurIPS 2018: 4563-4572 - [i3]Jie Liu, Yu Rong, Martin Takác, Junzhou Huang:
On the Acceleration of L-BFGS with Second-Order Information and Stochastic Batches. CoRR abs/1807.05328 (2018) - [i2]Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang:
Adaptive Sampling Towards Fast Graph Representation Learning. CoRR abs/1809.05343 (2018) - [i1]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 abs/1811.08585 (2018) - 2017
- [c4]Yu Rong, Hong Cheng:
Minimizing Dependence between Graphs. CIKM 2017: 1827-1836 - 2016
- [c3]Yu Rong, Qiankun Zhu, Hong Cheng:
A Model-Free Approach to Infer the Diffusion Network from Event Cascade. CIKM 2016: 1653-1662 - 2015
- [c2]Yu Rong, Hong Cheng, Zhiyu Mo:
Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events. KDD 2015: 1015-1024 - 2014
- [c1]Yu Rong, Xiao Wen, Hong Cheng:
A Monte Carlo algorithm for cold start recommendation. WWW 2014: 327-336
Coauthor Index
[j21] [j20] [j19] [j17] [c58] [c57] [j11] [j10] [j9] [c53] [i56] [j7] [j6] [j5] [j4] [j3] [c44] [c42] [c41] [c40] [c39] [c38] [c35] [c33] [i52] [i51] [i49] [i47] [i44] [i43] [i41] [j2] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c20] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i24] [i23] [i22] [i21] [i20] [i19] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [c10] [c9] [c8] [i9] [i8] [i7] [i6] [i5] [i4] [c7] [c5] [i3] [i2] [i1]
[j19] [j17] [c58] [c57] [c55] [i66] [j12] [j10] [j9] [c53] [c51] [c48] [i57] [i56] [i55] [j7] [j6] [j4] [c41] [c40] [c38] [c36] [c35] [c34] [c33] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i44] [i43] [i41] [i38] [j2] [c30] [c29] [c26] [c24] [c22] [i35] [i34] [i30] [i29] [i28] [i26] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [i24] [i21] [i20] [i19] [i17] [i16] [i15] [i13] [i12] [i11] [c10] [i7] [i6] [i5] [i1]
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