Xiao Wang

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 103

Top Venues

CoRR

WWW

AAAI

IEEE Trans. Knowl. Data Eng.

Publications

Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi
Graph Fairness Learning under Distribution Shifts. WWW (2024)
Yanbei Liu, Lianxi Fan, Xiao Wang, Zhitao Xiao, Shuai Ma, Yanwei Pang, Jerry Chun-Wei Lin
HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Generalizing Graph Neural Networks on Out-of-Distribution Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW (2024)
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
Debiased Graph Neural Networks With Agnostic Label Selection Bias. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao
Multi-Scale Subgraph Contrastive Learning. CoRR (2024)
Wei Zhou, Hong Huang, Ruize Shi, Xiran Song, Xue Lin, Xiao Wang, Hai Jin
Temporal Heterogeneous Information Network Embedding via Semantic Evolution. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. CoRR (2023)
Meiqi Zhu, Xiao Wang, Chuan Shi, Yibo Li, Junping Du
Towards Adaptive Information Fusion in Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
Provable Training for Graph Contrastive Learning. CoRR (2023)
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65 (2) (2023)
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Yanbei Liu, Shichuan Zhao, Xiao Wang, Lei Geng, Zhitao Xiao, Jerry Chun-Wei Lin
Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification. IEEE Trans. Big Data 9 (4) (2023)
Lu Yu, Wen Wang, Yanbei Liu, Xiao Wang, Jun Wu
A Semi-Supervised Graph Neural Network with Confidence Discrimination. ICCPR (2023)
Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye
Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
Directed Acyclic Graph Structure Learning from Dynamic Graphs. AAAI (2023)
Shuyun Gu, Xiao Wang, Chuan Shi
Duplicate Multi-modal Entities Detection with Graph Contrastive Self-training Network. ECML/PKDD (2) (2023)
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9 (2) (2023)
Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao
Multi-Scale Subgraph Contrastive Learning. IJCAI (2023)
Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu
Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du
Minimum Topology Attacks for Graph Neural Networks. WWW (2023)
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
Compact Graph Structure Learning via Mutual Information Compression. WWW (2022)
Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW (2022)
Xiao Wang, Yuanfu Lu, Chuan Shi, Ruijia Wang, Peng Cui, Shuai Mou
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
Uncovering the Structural Fairness in Graph Contrastive Learning. CoRR (2022)
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. NeurIPS (2022)
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS (2022)
Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. CIKM (2022)
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum. CoRR (2022)
Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. CoRR (2022)
Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
Uncovering the Structural Fairness in Graph Contrastive Learning. NeurIPS (2022)
Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi
Embedding Heterogeneous Information Network in Hyperbolic Spaces. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI (2022)
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR (2022)
Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI (2022)
Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye
Hyperbolic Graph Attention Network. IEEE Trans. Big Data 8 (6) (2022)
Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao
Self-supervised Graph Neural Networks for Multi-behavior Recommendation. IJCAI (2022)
Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi
Directed Acyclic Graph Structure Learning from Dynamic Graphs. CoRR (2022)
Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang
Geometric Disentangled Collaborative Filtering. SIGIR (2022)
Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du
Prohibited Item Detection via Risk Graph Structure Learning. WWW (2022)
Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang
CuCo: Graph Representation with Curriculum Contrastive Learning. IJCAI (2021)
Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie
Graph Structure Estimation Neural Networks. WWW (2021)
Yugang Ji, Chuan Shi, Xiao Wang
Prohibited Item Detection on Heterogeneous Risk Graphs. CIKM (2021)
Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
Beyond Low-frequency Information in Graph Convolutional Networks. CoRR (2021)
Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
Lorentzian Graph Convolutional Networks. CoRR (2021)
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye
Heterogeneous Graph Structure Learning for Graph Neural Networks. AAAI (2021)
Xiao Wang, Nian Liu, Hui Han, Chuan Shi
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. KDD (2021)
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. WWW (2021)
Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen
Beyond Low-frequency Information in Graph Convolutional Networks. AAAI (2021)
Shaohua Fan, Xiao Wang, Chuan Shi, Peng Cui, Bai Wang
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs. CoRR (2021)
Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. AAAI (2021)
Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li
Large-scale Comb-K Recommendation. WWW (2021)
Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. NeurIPS (2021)
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
Universal Graph Convolutional Networks. NeurIPS (2021)
Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. CoRR (2021)
Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. CoRR (2021)
Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
Lorentzian Graph Convolutional Networks. WWW (2021)
Xiao Wang, Nian Liu, Hui Han, Chuan Shi
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning. CoRR (2021)
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. KDD (2020)
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
Decorrelated Clustering with Data Selection Bias. CoRR (2020)
Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
Structural Deep Clustering Network. WWW (2020)
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
Decorrelated Clustering with Data Selection Bias. IJCAI (2020)
Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou
Heterogeneous Graph Neural Network for Recommendation. CoRR (2020)
Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. ICDM (2020)
Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI (2020)
Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui
Structural Deep Clustering Network. CoRR (2020)
Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. CoRR (2020)
Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
Multi-Component Graph Convolutional Collaborative Filtering. AAAI (2020)
Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang
One2Multi Graph Autoencoder for Multi-view Graph Clustering. WWW (2020)
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR (2020)
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. CoRR (2019)
Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu
A Survey on Network Embedding. IEEE Trans. Knowl. Data Eng. 31 (5) (2019)
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye
Heterogeneous Graph Attention Network. CoRR (2019)
Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
Temporal Network Embedding with Micro- and Macro-dynamics. CIKM (2019)
Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye
Hyperbolic Graph Attention Network. CoRR (2019)
Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
Temporal Network Embedding with Micro- and Macro-dynamics. CoRR (2019)
Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li
Multi-Component Graph Convolutional Collaborative Filtering. CoRR (2019)
Xiao Wang, Yiding Zhang, Chuan Shi
Hyperbolic Heterogeneous Information Network Embedding. AAAI (2019)
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu
Heterogeneous Graph Attention Network. WWW (2019)
Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
Billion-Scale Network Embedding with Iterative Random Projection. ICDM (2018)
Ke Tu, Peng Cui, Xiao Wang, Philip S. Yu, Wenwu Zhu
Deep Recursive Network Embedding with Regular Equivalence. KDD (2018)
Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi
Ranking Preserving Nonnegative Matrix Factorization. IJCAI (2018)
Jianxin Ma, Peng Cui, Xiao Wang, Wenwu Zhu
Hierarchical Taxonomy Aware Network Embedding. KDD (2018)
Ziwei Zhang, Peng Cui, Xiao Wang, Jian Pei, Xuanrong Yao, Wenwu Zhu
Arbitrary-Order Proximity Preserved Network Embedding. KDD (2018)
Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu
Structural Deep Embedding for Hyper-Networks. AAAI (2018)
Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. AAAI (2018)
Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
Power-law Distribution Aware Trust Prediction. IJCAI (2018)
Shaohua Fan, Chuan Shi, Xiao Wang
Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM (2018)
Jing Wang, Feng Tian, Hongchuan Yu, Chang Hong Liu, Kun Zhan, Xiao Wang
Diverse Non-Negative Matrix Factorization for Multiview Data Representation. IEEE Trans. Cybern. 48 (9) (2018)
Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, Wenwu Zhu
Billion-scale Network Embedding with Iterative Random Projection. CoRR (2018)
Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang
Community Preserving Network Embedding. AAAI (2017)
Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang
Multi-Component Nonnegative Matrix Factorization. IJCAI (2017)
Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu
TIMERS: Error-Bounded SVD Restart on Dynamic Networks. CoRR (2017)
Peng Cui, Xiao Wang, Jian Pei, Wenwu Zhu
A Survey on Network Embedding. CoRR (2017)
Jing Wang, Xiao Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu
Constrained Low-Rank Representation for Robust Subspace Clustering. IEEE Trans. Cybern. 47 (12) (2017)
Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang
Unsupervised feature selection via Diversity-induced Self-representation. Neurocomputing 219 (2017)
Jing Wang, Feng Tian, Chang Hong Liu, Hongchuan Yu, Xiao Wang, Xianchao Tang
Robust nonnegative matrix factorization with ordered structure constraints. IJCNN (2017)
Xianchao Tang, Tao Xu, Xia Feng, Guoqing Yang, Jing Wang, Qiannan Li, Yanbei Liu, Xiao Wang
Learning community structures: Global and local perspectives. Neurocomputing 239 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiao Wang