Xiao Wang - RankMe

184 papers A* 70A 8B 5Misc 1Journal 92Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs. WWW Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao, Dalin Zhang
2026	J	`jnl`	Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs. CoRR Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao, Dalin Zhang
2026	A*	`conf`	DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. WWW Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen
2026	A*	`conf`	FRiskGPT: A Generative Foundation Model for Financial Risk Detection. WWW Zhongjian Zhang, Mengmei Zhang, Dehua Xu, Rongjun Shi, Jianfeng Liu, Fuli Meng, Huajian Xu, Xiao Wang, Ruijia Wang, Junze Chen, Minwei Tang, Chuan Shi
2026	A*	`conf`	Invariant Conditional Molecular Generation Under Distribution Shift. AAAI Chunyu Hu, Tianyin Liao, Yicheng Sui, Ran Zhang, Xiao Wang, Ziwei Zhang
2026	A*	`conf`	Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning. WWW Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan, Chuan Shi
2026	J	`jnl`	Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning. CoRR Zhongjian Zhang, Xiao Wang, Mengmei Zhang, Jiarui Tan, Chuan Shi
2026	A*	`conf`	Unifying Graph Out-of-Distribution Generalization and Detection through Spectral Contrastive Invariant learning. WWW Tianyin Liao, Ge Lan, Rui Chen, Ran Zhang, Zhiming Chen, Xiao Wang, Ziwei Zhang
2026	A*	`conf`	negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification. WWW Junwei Gong, Xiao Shen, Zhihao Chen, Shirui Pan, Xiao Wang, Xi Zhou
2026	J	`jnl`	negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification. CoRR Junwei Gong, Xiao Shen, Zhihao Chen, Shirui Pan, Xiao Wang, Xi Zhou
2025	J	`jnl`	Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models. CoRR Zhibiao Wang, Yunlong Zhou, Ziwei Zhang, Mengmei Zhang, Shirui Pan, Chunming Hu, Xiao Wang
2025	J	`jnl`	AuCoGNN: Enhancing Graph Fairness Learning Under Distribution Shifts With Automated Graph Generation. IEEE Trans. Knowl. Data Eng. Xiao Wang, Yibo Li, Yujie Xing, Shaohua Fan, Chuan Shi
2025	J	`jnl`	CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Pengfei Zhu, Jialu Li, Zhe Dong, Qinghua Hu, Xiao Wang, Qilong Wang
2025	—	`conf`	Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? KDD (1) Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi
2025	J	`jnl`	DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. CoRR Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen, Philip S. Yu
2025	J	`jnl`	Graph Neural Networks With Adaptive Confidence Discrimination. IEEE Trans. Neural Networks Learn. Syst. Yanbei Liu, Lu Yu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Shuai Ma, Yanwei Pang
2025	A*	`conf`	HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport. ICML Yanbei Liu, Chongxu Wang, Zhitao Xiao, Lei Geng, Yanwei Pang, Xiao Wang
2025	J	`jnl`	HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport. CoRR Yanbei Liu, Chongxu Wang, Zhitao Xiao, Lei Geng, Yanwei Pang, Xiao Wang
2025	A*	`conf`	HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model. IJCAI Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang
2025	J	`jnl`	HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model. CoRR Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang
2025	J	`jnl`	Multi-information Fusion Graph Convolutional Network for cancer driver gene identification. Pattern Recognit. Die Hu, Yanbei Liu, Xiao Wang, Lei Geng, Fang Zhang, Zhitao Xiao, Jerry Chun-Wei Lin
2025	J	`jnl`	Multiscale Subgraph Adversarial Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Yanbei Liu, Yu Zhao, Zhitao Xiao, Lei Geng, Xiao Wang, Yanwei Pang, Jerry Chun-Wei Lin
2025	A*	`conf`	Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. AAAI Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi
2025	J	`jnl`	Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective. CoRR Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi
2025	J	`jnl`	Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework. CoRR Yujie Xing, Xiao Wang, Bin Wu, Hai Huang, Chuan Shi
2024	A*	`conf`	A Generalized Neural Diffusion Framework on Graphs. AAAI Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi
2024	J	`jnl`	Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? CoRR Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi
2024	A*	`conf`	Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	J	`jnl`	Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	J	`jnl`	Cross-scale contrastive triplet networks for graph representation learning. Pattern Recognit. Yanbei Liu, Wanjin Shan, Xiao Wang, Zhitao Xiao, Lei Geng, Fang Zhang, Dongdong Du, Yanwei Pang
2024	J	`jnl`	Debiased Graph Neural Networks With Agnostic Label Selection Bias. IEEE Trans. Neural Networks Learn. Syst. Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2024	J	`jnl`	Exploring Task Unification in Graph Representation Learning via Generative Approach. CoRR Yulan Hu, Sheng Ouyang, Zhirui Yang, Ge Chen, Junchen Wan, Xiao Wang, Yong Liu
2024	J	`jnl`	Generalizing Graph Neural Networks on Out-of-Distribution Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2024	A*	`conf`	Graph Contrastive Invariant Learning from the Causal Perspective. AAAI Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
2024	J	`jnl`	Graph Contrastive Invariant Learning from the Causal Perspective. CoRR Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi
2024	A*	`conf`	Graph Fairness Learning under Distribution Shifts. WWW Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
2024	J	`jnl`	Graph Fairness Learning under Distribution Shifts. CoRR Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
2024	J	`jnl`	HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation. IEEE Trans. Neural Networks Learn. Syst. Yanbei Liu, Lianxi Fan, Xiao Wang, Zhitao Xiao, Shuai Ma, Yanwei Pang, Jerry Chun-Wei Lin
2024	J	`jnl`	Hierarchical Graph Interaction Transformer With Dynamic Token Clustering for Camouflaged Object Detection. IEEE Trans. Image Process. Siyuan Yao, Hao Sun, Tian-Zhu Xiang, Xiao Wang, Xiaochun Cao
2024	J	`jnl`	Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection. CoRR Siyuan Yao, Hao Sun, Tian-Zhu Xiang, Xiao Wang, Xiaochun Cao
2024	A	`conf`	Hop-based Heterogeneous Graph Transformer. ECAI Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua
2024	J	`jnl`	Intent-aware Recommendation via Disentangled Graph Contrastive Learning. CoRR Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2024	J	`jnl`	Learning Invariant Representations of Graph Neural Networks via Cluster Generalization. CoRR Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
2024	A*	`conf`	Less is More: on the Over-Globalizing Problem in Graph Transformers. ICML Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi
2024	J	`jnl`	Less is More: on the Over-Globalizing Problem in Graph Transformers. CoRR Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi
2024	J	`jnl`	Minimum Topology Attacks for Graph Neural Networks. CoRR Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
2024	J	`jnl`	Multi-Scale Subgraph Contrastive Learning. CoRR Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao
2024	A*	`conf`	Uncovering the Redundancy in Graph Self-supervised Learning Models. NeurIPS Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu
2024	J	`jnl`	Unifying Graph Neural Networks with a Generalized Optimization Framework. ACM Trans. Inf. Syst. Chuan Shi, Meiqi Zhu, Yue Yu, Xiao Wang, Junping Du
2023	J	`jnl`	A Generalized Neural Diffusion Framework on Graphs. CoRR Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi
2023	—	`conf`	A Semi-Supervised Graph Neural Network with Confidence Discrimination. ICCPR Lu Yu, Wen Wang, Yanbei Liu, Xiao Wang, Jun Wu
2023	J	`jnl`	A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
2023	J	`jnl`	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2023	J	`jnl`	A Survey on Spectral Graph Neural Networks. CoRR Deyu Bo, Xiao Wang, Yang Liu, Yuan Fang, Yawen Li, Chuan Shi
2023	—	`book`	Advances in Graph Neural Networks Chuan Shi, Xiao Wang, Cheng Yang
2023	Misc	`conf`	Clustering-Based Supervised Contrastive Learning for Identifying Risk Items on Heterogeneous Graph. ICASSP Ao Li, Yugang Ji, Guanyi Chu, Xiao Wang, Dong Li, Chuan Shi
2023	A*	`conf`	Directed Acyclic Graph Structure Learning from Dynamic Graphs. AAAI Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
2023	—	`conf`	Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network. ECML/PKDD (2) Shuyun Gu, Xiao Wang, Chuan Shi
2023	J	`jnl`	Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2023	A*	`conf`	Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. ICML Yizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan
2023	J	`jnl`	Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs. CoRR Yizhen Zheng, He Zhang, Vincent C. S. Lee, Yu Zheng, Xiao Wang, Shirui Pan
2023	J	`jnl`	Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu
2023	J	`jnl`	Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye
2023	J	`jnl`	Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. CoRR Nian Liu, Xiao Wang, Hui Han, Chuan Shi
2023	J	`jnl`	Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. IEEE Trans. Knowl. Data Eng. Nian Liu, Xiao Wang, Hui Han, Chuan Shi
2023	A*	`conf`	Intent-aware Recommendation via Disentangled Graph Contrastive Learning. IJCAI Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu
2023	A*	`conf`	Learning Invariant Representations of Graph Neural Networks via Cluster Generalization. NeurIPS Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
2023	A*	`conf`	Minimum Topology Attacks for Graph Neural Networks. WWW Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
2023	A*	`conf`	Multi-Scale Subgraph Contrastive Learning. IJCAI Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao
2023	A*	`conf`	Provable Training for Graph Contrastive Learning. NeurIPS Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
2023	J	`jnl`	Provable Training for Graph Contrastive Learning. CoRR Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
2023	J	`jnl`	Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification. IEEE Trans. Big Data Yanbei Liu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Jerry Chun-Wei Lin
2023	J	`jnl`	Temporal Heterogeneous Information Network Embedding via Semantic Evolution. IEEE Trans. Knowl. Data Eng. Wei Zhou, Hong Huang, Ruize Shi, Xiran Song, Xue Lin, Xiao Wang, Hai Jin
2023	J	`jnl`	Towards Adaptive Information Fusion in Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. Meiqi Zhu, Xiao Wang, Chuan Shi, Yibo Li, Junping Du
2022	J	`jnl`	Binarized network embedding with community structural information. Inf. Sci. Yanbei Liu, Jinxin Liu, Zhongqiang Wang, Xiao Wang, Fang Zhang, Zhitao Xiao
2022	A*	`conf`	Compact Graph Structure Learning via Mutual Information Compression. WWW Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022	J	`jnl`	Compact Graph Structure Learning via Mutual Information Compression. CoRR Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022	A*	`conf`	Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	J	`jnl`	Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	J	`jnl`	Debiased Graph Neural Networks with Agnostic Label Selection Bias. CoRR Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2022	A*	`conf`	Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022	J	`jnl`	Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. CoRR Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022	J	`jnl`	Directed Acyclic Graph Structure Learning from Dynamic Graphs. CoRR Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
2022	J	`jnl`	Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. IEEE Trans. Knowl. Data Eng. Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou
2022	J	`jnl`	Embedding Heterogeneous Information Network in Hyperbolic Spaces. ACM Trans. Knowl. Discov. Data Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi
2022	A*	`conf`	Geometric Disentangled Collaborative Filtering. SIGIR Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang
2022	—	`book`	Heterogeneous Graph Representation Learning and Applications Chuan Shi, Xiao Wang, Philip S. Yu
2022	J	`jnl`	Hyperbolic Graph Attention Network. IEEE Trans. Big Data Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye
2022	A	`conf`	OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. CIKM Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi
2022	A*	`conf`	Prohibited Item Detection via Risk Graph Structure Learning. WWW Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du
2022	A*	`conf`	Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
2022	A*	`conf`	Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. NeurIPS Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
2022	J	`jnl`	Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. CoRR Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
2022	A*	`conf`	Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	A*	`conf`	Self-supervised Graph Neural Networks for Multi-behavior Recommendation. IJCAI Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao
2022	A*	`conf`	Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022	J	`jnl`	Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
2022	A*	`conf`	Uncovering the Structural Fairness in Graph Contrastive Learning. NeurIPS Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
2022	J	`jnl`	Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
2021	A*	`conf`	AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2021	A*	`conf`	Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. NeurIPS Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
2021	J	`jnl`	Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. CoRR Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
2021	A*	`conf`	Beyond Low-frequency Information in Graph Convolutional Networks. AAAI Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
2021	J	`jnl`	Beyond Low-frequency Information in Graph Convolutional Networks. CoRR Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
2021	A*	`conf`	CuCo: Graph Representation with Curriculum Contrastive Learning. IJCAI Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang
2021	J	`jnl`	Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2021	J	`jnl`	Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
2021	A*	`conf`	Graph Structure Estimation Neural Networks. WWW Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie
2021	A*	`conf`	Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
2021	A*	`conf`	Interpreting and Unifying Graph Neural Networks with An Optimization Framework. WWW Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
2021	J	`jnl`	Interpreting and Unifying Graph Neural Networks with An Optimization Framework. CoRR Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
2021	A*	`conf`	Large-scale Comb-K Recommendation. WWW Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li
2021	J	`jnl`	Learning Deep Lucas-Kanade Siamese Network for Visual Tracking. IEEE Trans. Image Process. Siyuan Yao, Xiaoguang Han, Hua Zhang, Xiao Wang, Xiaochun Cao
2021	A*	`conf`	Lorentzian Graph Convolutional Networks. WWW Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
2021	J	`jnl`	Lorentzian Graph Convolutional Networks. CoRR Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
2021	A	`conf`	Prohibited Item Detection on Heterogeneous Risk Graphs. CIKM Yugang Ji, Chuan Shi, Xiao Wang
2021	B	`conf`	STGE: Sensor Topology and Graph Embedding Learning with Heterogeneous Smart Environment. ICPADS Xiao Wang, Sheng Zhang, Yi Pan, Zeyu Lin
2021	A*	`conf`	Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. KDD Xiao Wang, Nian Liu, Hui Han, Chuan Shi
2021	J	`jnl`	Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. CoRR Xiao Wang, Nian Liu, Hui Han, Chuan Shi
2021	A*	`conf`	Temporal Heterogeneous Information Network Embedding. IJCAI Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu
2021	A*	`conf`	Universal Graph Convolutional Networks. NeurIPS Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
2021	A	`conf`	Updated Paired Regions for Shadow Detection from Single Image. BMVC Xiao Wang, Siyuan Yao, Pengwen Dai, Rui Wang, Xiaochun Cao
2021	A*	`conf`	Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. AAAI Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He
2020	J	`jnl`	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
2020	A*	`conf`	AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. KDD Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020	J	`jnl`	AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. CoRR Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
2020	A*	`conf`	Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. ICDM Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang
2020	J	`jnl`	Community enhanced graph convolutional networks. Pattern Recognit. Lett. Yanbei Liu, Qi Wang, Xiao Wang, Fang Zhang, Lei Geng, Jun Wu, Zhitao Xiao
2020	A*	`conf`	Decorrelated Clustering with Data Selection Bias. IJCAI Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020	J	`jnl`	Decorrelated Clustering with Data Selection Bias. CoRR Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020	J	`jnl`	Heterogeneous Graph Neural Network for Recommendation. CoRR Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou
2020	A*	`conf`	Independence Promoted Graph Disentangled Networks. AAAI Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao
2020	J	`jnl`	Inferring Disease-Associated microRNAs in Heterogeneous Networks with Node Attributes. IEEE ACM Trans. Comput. Biol. Bioinform. Ping Xuan, Tonghui Shen, Xiao Wang, Tiangang Zhang, Weixiong Zhang
2020	A*	`conf`	Motif-Preserving Temporal Network Embedding. IJCAI Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin
2020	A*	`conf`	Multi-Component Graph Convolutional Collaborative Filtering. AAAI Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
2020	A*	`conf`	Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
2020	A*	`conf`	One2Multi Graph Autoencoder for Multi-view Graph Clustering. WWW Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang
2020	A	`conf`	SI-AGAN: Spatial Interpolation with Attentional Generative Adversarial Networks for Environment Monitoring. ECAI Yujia Gao, Liang Liu, Chi Zhang, Xiao Wang, Huadong Ma
2020	A*	`conf`	Structural Deep Clustering Network. WWW Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
2020	J	`jnl`	Structural Deep Clustering Network. CoRR Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
2019	J	`jnl`	A Survey on Network Embedding. IEEE Trans. Knowl. Data Eng. Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu
2019	J	`jnl`	Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. CoRR Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2019	J	`jnl`	Drug repositioning through integration of prior knowledge and projections of drugs and diseases. Bioinform. Ping Xuan, Yangkun Cao, Tiangang Zhang, Xiao Wang, Shuxiang Pan, Tonghui Shen
2019	A*	`conf`	Heterogeneous Graph Attention Network. WWW Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
2019	J	`jnl`	Heterogeneous Graph Attention Network. CoRR Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye
2019	J	`jnl`	Hyperbolic Graph Attention Network. CoRR Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye
2019	A*	`conf`	Hyperbolic Heterogeneous Information Network Embedding. AAAI Xiao Wang, Yiding Zhang, Chuan Shi
2019	J	`jnl`	Independence Promoted Graph Disentangled Networks. CoRR Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao
2019	—	`conf`	Iris Image Super Resolution Based on GANs with Adversarial Triplets. CCBR Xiao Wang, Hui Zhang, Jing Liu, Lihu Xiao, Zhaofeng He, Liang Liu, Pengrui Duan
2019	J	`jnl`	Multi-Component Graph Convolutional Collaborative Filtering. CoRR Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
2019	A	`conf`	Temporal Network Embedding with Micro- and Macro-dynamics. CIKM Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019	J	`jnl`	Temporal Network Embedding with Micro- and Macro-dynamics. CoRR Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2018	J	`jnl`	A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network. Bioinform. Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang
2018	A	`conf`	Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM Shaohua Fan, Chuan Shi, Xiao Wang
2018	A*	`conf`	Arbitrary-Order Proximity Preserved Network Embedding. KDD Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu
2018	A*	`conf`	Billion-Scale Network Embedding with Iterative Random Projection. ICDM Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	J	`jnl`	Billion-scale Network Embedding with Iterative Random Projection. CoRR Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
2018	A*	`conf`	Deep Recursive Network Embedding with Regular Equivalence. KDD Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu
2018	J	`jnl`	Diverse Non-Negative Matrix Factorization for Multiview Data Representation. IEEE Trans. Cybern. Jing Wang, Feng Tian, Hongchuan Yu, Chang Hong Liu, Kun Zhan, Xiao Wang
2018	B	`conf`	Edge Content Enhanced Network Embedding. ICTAI Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
2018	J	`jnl`	Entropy-based active sparse subspace clustering. Multim. Tools Appl. Yanbei Liu, Kaihua Liu, Changqing Zhang, Xiao Wang, Shaona Wang, Zhitao Xiao
2018	A*	`conf`	Hierarchical Taxonomy Aware Network Embedding. KDD Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu
2018	A*	`conf`	Power-law Distribution Aware Trust Prediction. IJCAI Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
2018	A*	`conf`	Ranking Preserving Nonnegative Matrix Factorization. IJCAI Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi
2018	A*	`conf`	Structural Deep Embedding for Hyper-Networks. AAAI Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2018	A*	`conf`	TIMERS: Error-Bounded SVD Restart on Dynamic Networks. AAAI Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
2017	J	`jnl`	A Survey on Network Embedding. CoRR Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu
2017	A*	`conf`	Community Preserving Network Embedding. AAAI Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang
2017	J	`jnl`	Constrained Low-Rank Representation for Robust Subspace Clustering. IEEE Trans. Cybern. Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu
2017	J	`jnl`	Learning community structures: Global and local perspectives. Neurocomputing Xianchao Tang, Tao Xu, Xia Feng, Guoqing Yang, Jing Wang, Qiannan Li, Yanbei Liu, Xiao Wang
2017	A*	`conf`	Multi-Component Nonnegative Matrix Factorization. IJCAI Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang
2017	B	`conf`	Robust nonnegative matrix factorization with ordered structure constraints. IJCNN Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang
2017	J	`jnl`	Structural Deep Embedding for Hyper-Networks. CoRR Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
2017	J	`jnl`	TIMERS: Error-Bounded SVD Restart on Dynamic Networks. CoRR Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
2017	J	`jnl`	Unsupervised feature selection via Diversity-induced Self-representation. Neurocomputing Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang
2016	—	`conf`	Adaptive Multi-view Semi-supervised Nonnegative Matrix Factorization. ICONIP (2) Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Yanbei Liu
2016	A*	`conf`	Modularity Based Community Detection with Deep Learning. IJCAI Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang
2016	A*	`conf`	Semantic Community Identification in Large Attribute Networks. AAAI Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang
2015	J	`jnl`	A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization. IEEE Trans. Cybern. Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, Dan Meng
2015	B	`conf`	Robust semi-supervised nonnegative matrix factorization. IJCNN Jing Wang, Feng Tian, Chang Hong Liu, Xiao Wang
2014	—	`conf`	The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF. WWW (Companion Volume) Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He
2011	J	`jnl`	Phoenix: A Weight-Based Network Coordinate System Using Matrix Factorization. IEEE Trans. Netw. Serv. Manag. Yang Chen, Xiao Wang, Cong Shi, Eng Keong Lua, Xiaoming Fu, Beixing Deng, Xing Li
2009	B	`conf`	Phoenix: Towards an Accurate, Practical and Decentralized Network Coordinate System. Networking Yang Chen, Xiao Wang, Xiaoxiao Song, Eng Keong Lua, Cong Shi, Xiaohan Zhao, Beixing Deng, Xing Li
2008	A	`conf`	Nonlinear modeling of the internet delay structure. CoNEXT Xiao Wang, Yang Chen, Beixing Deng, Xing Li