Chuan Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 115

Top Venues

Publications

Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen
Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. ICASSP (2024)
Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily. World Wide Web (WWW) 27 (3) (2024)
Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen
Decision-focused Graph Neural Networks for Combinatorial Optimization. CoRR (2024)
Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen
Combinatorial Optimization with Automated Graph Neural Networks. CoRR (2024)
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yi Li, Youyu Liu, Chuan Zhou, Dezhang Xu, Wanbao Tao
A lightweight scheme of deep appearance extraction for robust online multi-object tracking. Vis. Comput. 40 (3) (2024)
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. CoRR (2024)
Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zhen Liu, Wenbo Zuo, Dongning Zhang, Chuan Zhou
Self-Attention Enhanced Auto-Encoder for Link Weight Prediction With Graph Compression. IEEE Trans. Netw. Sci. Eng. 11 (1) (2024)
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. BigData (2023)
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou
ID-MixGCL: Identity Mixup for Graph Contrastive Learning. CoRR (2023)
Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. WWW (2023)
Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. ICDM (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR (2023)
Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou
Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. ECIR (2) (2023)
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. ACM Trans. Inf. Syst. 41 (4) (2023)
Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS (2023)
Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang
Deep spatial-temporal structure learning for rumor detection on Twitter. Neural Comput. Appl. 35 (18) (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. WWW (2023)
Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao
Online Active Learning for Drifting Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification. Pattern Recognit. 133 (2023)
Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou
GraphNAS++: Distributed Architecture Search for Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Li'o
A Comprehensive Survey of Graph-level Learning. CoRR (2023)
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan
Projective Ranking-Based GNN Evasion Attacks. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. ICDM (2022)
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
Ultrahyperbolic Knowledge Graph Embeddings. KDD (2022)
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
Pseudo-Riemannian Graph Convolutional Networks. NeurIPS (2022)
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li
Task-level Relations Modelling for Graph Meta-learning. ICDM (2022)
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
DAGAD: Data Augmentation for Graph Anomaly Detection. CoRR (2022)
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. WWW (2022)
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM (2022)
Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily. CoRR (2022)
Yongxiu Xu, Chuan Zhou, Heyan Huang, Jing Yu, Yue Hu
Wlinker: Modeling Relational Triplet Extraction As Word Linking. ICASSP (2022)
Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40 (3) (2022)
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan
Projective Ranking-based GNN Evasion Attacks. CoRR (2022)
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
Ultrahyperbolic Knowledge Graph Embeddings. CoRR (2022)
Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
Graph-level Neural Networks: Current Progress and Future Directions. CoRR (2022)
Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu
API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web 25 (1) (2022)
Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. WSDM (2022)
Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang
Geometry Contrastive Learning on Heterogeneous Graphs. CoRR (2022)
Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS (2022)
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
Task-adaptive Neural Process for User Cold-Start Recommendation. CoRR (2021)
He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. CIKM (2021)
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
Task-adaptive Neural Process for User Cold-Start Recommendation. WWW (2021)
Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu
Heterogeneous Graph Neural Architecture Search. ICDM (2021)
Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461 (2021)
Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. CIKM (2021)
Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. ICDM (2021)
Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan
Towards embedding information diffusion data for understanding big dynamic networks. Neurocomputing 466 (2021)
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR (2021)
Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR (2021)
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
A Comprehensive Survey on Community Detection with Deep Learning. CoRR (2021)
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
Semi-Riemannian Graph Convolutional Networks. CoRR (2021)
Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu
Graph Self-Supervised Learning: A Survey. CoRR (2021)
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. ICDM (2021)
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI (2021)
Yongxiu Xu, Heyan Huang, Chong Feng, Chuan Zhou, Jiarui Zhang, Yue Hu
A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources. IJCNN (2021)
Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng
Detecting the evolving community structure in dynamic social networks. World Wide Web 23 (2) (2020)
Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. IJCAI (2020)
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
Graph Geometry Interaction Learning. CoRR (2020)
Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang
Weighted partial order oriented three-way decisions under score-based common voting rules. Int. J. Approx. Reason. 123 (2020)
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
Deep Learning for Community Detection: Progress, Challenges and Opportunities. CoRR (2020)
Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang
Exploratory Adversarial Attacks on Graph Neural Networks. ICDM (2020)
Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu
Unsupervised Domain Adaptive Graph Convolutional Networks. WWW (2020)
Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang
Deep Semantic Network Representation. ICDM (2020)
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
Discrete Embedding for Latent Networks. IJCAI (2020)
Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang
GSSNN: Graph Smoothing Splines Neural Networks. AAAI (2020)
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
Graph Geometry Interaction Learning. NeurIPS (2020)
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing
AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. ICDM (2020)
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
Deep Learning for Community Detection: Progress, Challenges and Opportunities. IJCAI (2020)
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
Graph Neural Architecture Search. IJCAI (2020)
Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang
Graph Stochastic Neural Networks for Semi-supervised Learning. NeurIPS (2020)
Xin Li, Liang Yang, Yi Li, Chuan Zhou
Deep trajectory: a deep learning approach for mobile advertising in vehicular networks. Neural Comput. Appl. 31 (7) (2019)
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
Deep Active Learning for Anchor User Prediction. CoRR (2019)
Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang
Low-Bit Quantization for Attributed Network Representation Learning. IJCAI (2019)
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. ICDM (2019)
Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang
Deep Structure Learning for Rumor Detection on Twitter. IJCNN (2019)
Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan
Domain-Adversarial Graph Neural Networks for Text Classification. ICDM (2019)
Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang
Evolutionary Community Detection in Dynamic Social Networks. IJCNN (2019)
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning. CoRR (2019)
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
Deep Active Learning for Anchor User Prediction. IJCAI (2019)
Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang
Relation Structure-Aware Heterogeneous Graph Neural Network. ICDM (2019)
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
Multi-View Fusion with Extreme Learning Machine for Clustering. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo
Smooth Deep Network Embedding. IJCNN (2019)
Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo
FraudNE: a Joint Embedding Approach for Fraud Detection. IJCNN (2018)
Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang
Deep Structure Learning for Fraud Detection. ICDM (2018)
Wen Zan, Chuan Zhou, Hong Yang, Yue Hu, Li Guo
iWalk: Interest-Aware Random Walk for Network Embedding. IJCNN (2018)
Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu
Multi-target Core Network-Based Networked Multi-label Classification. ICBK (2018)
Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang
Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications. Complex. 2018 (2018)
Lei Li, Chuan Zhou, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu
Collective semantic behavior extraction in social networks. J. Comput. Sci. 28 (2018)
Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu
Active Discriminative Network Representation Learning. IJCAI (2018)
Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu
Recommendation with Multi-Source Heterogeneous Information. IJCAI (2018)
Chuan Zhou, Weixue Lu, Jingzun Zhang, Lei Li, Yue Hu, Li Guo
Early detection of dynamic harmful cascades in large-scale networks. J. Comput. Sci. 28 (2018)
Anfeng Cheng, Chun-Yi Liu, Chuan Zhou, Jianlong Tan, Li Guo
User Alignment via Structural Interaction and Propagation. IJCNN (2018)

Chuan Zhou.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chuan Zhou