Chuan Zhou

179 papers A* 56A 9B 11C 1Misc 7Journal 78Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A* conf
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time.
AAAI
Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan
2026 J jnl
Generative Causality-Driven Network for Graph Multi-Task Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xixun Lin, Qing Yu, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Chenliang Li, Peng Zhang, Shirui Pan
2026 J jnl
Hard Constraints Meet Soft Generation: Guaranteed Feasibility for LLM-based Combinatorial Optimization.
CoRR
Yang Liu, Chuan Zhou, Yancheng Chen, Shuai Zhang, Xixun Lin, Xiaoqing Wang
2026 A* conf
MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues.
WWW
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
2026 J jnl
MuVaC: AVariational Causal Framework for Multimodal Sarcasm Understanding in Dialogues.
CoRR
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
2025 J jnl
A data-centric framework of improving graph neural networks for knowledge graph embedding.
World Wide Web (WWW)
Yanan Cao, Xixun Lin, Yongxuan Wu, Fengzhao Shi, Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang
2025 A* conf
Conformal Anomaly Detection in Event Sequences.
ICML
Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan
2025 A* conf
Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.
WWW
Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu
2025 J jnl
Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time.
CoRR
Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan
2025 J jnl
Downsizing Diffusion Models for Cardinality Estimation.
CoRR
Xinhe Mu, Zhaoqi Zhou, Zaijiu Shang, Chuan Zhou, Gang Fu, Guiying Yan, Guoliang Li, Zhiming Ma
2025 J jnl
Equivariant Hypergraph Diffusion for Crystal Structure Prediction.
CoRR
Yang Liu, Chuan Zhou, Shuai Zhang, Peng Zhang, Xixun Lin, Shirui Pan
2025 A* conf
Graph Wave Networks.
WWW
Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo
2025 J jnl
Graph Wave Networks.
CoRR
Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo
2025 J jnl
Graph-Based Approximate Nearest Neighbor Search Revisited: Theoretical Analysis and Optimization.
CoRR
Xinran Ma, Zhaoqi Zhou, Chuan Zhou, Qi Meng, Zaijiu Shang, Guoliang Li, Zhiming Ma
2025 A* conf
Heterogeneous Graph Anomaly Detection with Graph Wavelet Transformer.
ICDM
Xiaoou Zhang, Chuan Zhou, Yang Liu, Shuai Zhang, Peng Zhang, Yujia Zhu, Qingyun Liu
2025 J jnl
IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection.
Neural Networks
Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin, Chuan Zhou, Lixin Zou, Peng Zhang, Zhao Li, Dawei Yin
2025 J jnl
Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration.
IEEE Trans. Neural Networks Learn. Syst.
Xuexiong Luo, Jia Wu, Jian Yang, Hongyang Chen, Zhao Li, Hao Peng, Chuan Zhou
2025 J jnl
LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions.
CoRR
Xixun Lin, Yucheng Ning, Jingwen Zhang, Yan Dong, Yilong Liu, Yongxuan Wu, Xiaohua Qi, Nan Sun, Yanmin Shang, Pengfei Cao, Lixin Zou, Xu Chen, Chuan Zhou, Jia Wu, Shirui Pan, Bin Wang, Yanan Cao, Kai Chen, Songlin Hu, Li Guo
2025 J jnl
Large language models enhanced graph neural architecture search for quadratic unconstrained binary optimization.
Knowl. Based Syst.
Peng Zhang, Junxian Wu, Hong Yang, Chuan Zhou, Zhihong Tian
2025 Misc conf
Node-Centric Meta Structure Search in Heterogeneous Graphs.
ICASSP
Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Chuan Zhou, Peng Zhang, Yong Ding, Qingyun Liu, Hongyang Chen
2025 J jnl
RHGNN: imposing relational inductive bias for heterogeneous graph neural network.
Int. J. Mach. Learn. Cybern.
Shichao Zhu, Shuai Zhang, Yang Liu, Chuan Zhou, Shirui Pan, Zhao Li, Hongyang Chen
2025 J jnl
Semantic Rate-Distortion Theory with Applications.
CoRR
Yi-Qun Zhao, Zhi-Ming Ma, Geoffrey Ye Li, Shuai Yuan, Tong Ye, Chuan Zhou
2025 A* conf
Sharpness-aware Zeroth-order Optimization for Graph Transformers.
IJCAI
Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan
2025 J jnl
State of the Art and Potentialities of Graph-level Learning.
ACM Comput. Surv.
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2025 A* conf
Test-Time Graph Neural Dataset Search With Generative Projection.
ICML
Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan
2024 J jnl
A Comprehensive Survey on Community Detection With Deep Learning.
IEEE Trans. Neural Networks Learn. Syst.
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
2024 A* conf
CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization.
ICDM
Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu
2024 J jnl
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding.
CoRR
Yang Liu, Chuan Zhou, Peng Zhang, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen
2024 J jnl
Combinatorial Optimization with Automated Graph Neural Networks.
CoRR
Yang Liu, Peng Zhang, Yang Gao, Chuan Zhou, Zhao Li, Hongyang Chen
2024 J jnl
Decision-focused Graph Neural Networks for Combinatorial Optimization.
CoRR
Yang Liu, Chuan Zhou, Peng Zhang, Shirui Pan, Zhao Li, Hongyang Chen
2024 J jnl
Dynamic Graph Representation Learning via Coupling-Process Model.
IEEE Trans. Neural Networks Learn. Syst.
Pingtao Duan, Chuan Zhou, Yuting Liu
2024 — conf
Federated Spectral Graph Neural Networks.
BESC
Jiaqi Yu, Hong Yang, Chuan Zhou, Peng Zhang, Zhihong Tian
2024 J jnl
Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily.
IEEE Trans. Cybern.
Changqin Huang, Yi Wang, Yunliang Jiang, Ming Li, Xiaodi Huang, Shijin Wang, Shirui Pan, Chuan Zhou
2024 A* conf
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification.
ICML
Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao
2024 J jnl
Graph Structure Reshaping Against Adversarial Attacks on Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Zhao Li, Jilong Wang, Philip S. Yu
2024 Misc conf
Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs.
ICASSP
Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen
2024 A* conf
Neural Jump-Diffusion Temporal Point Processes.
ICML
Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma
2024 J jnl
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning.
IEEE Trans. Knowl. Data Eng.
Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang
2024 A conf
Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services.
ICWS
Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yiling Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen
2024 J jnl
Self-Attention Enhanced Auto-Encoder for Link Weight Prediction With Graph Compression.
IEEE Trans. Netw. Sci. Eng.
Zhen Liu, Wenbo Zuo, Dongning Zhang, Chuan Zhou
2024 J jnl
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification.
IEEE Trans. Neural Networks Learn. Syst.
Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian
2024 J jnl
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng.
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin
2024 A conf
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services.
ICWS
Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu
2024 J jnl
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services.
CoRR
Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu
2024 J jnl
VR-GNN: variational relation vector graph neural network for modeling homophily and heterophily.
World Wide Web (WWW)
Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan
2023 J jnl
A Comprehensive Survey of Graph-level Learning.
CoRR
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò
2023 J jnl
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning.
IEEE Trans. Knowl. Data Eng.
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
2023 A* conf
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.
WWW
Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan
2023 J jnl
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.
CoRR
Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan
2023 A* conf
CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing.
WWW
Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang
2023 A* conf
Decision-focused Graph Neural Networks for Graph Learning and Optimization.
ICDM
Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen
2023 J jnl
Deep spatial-temporal structure learning for rumor detection on Twitter.
Neural Comput. Appl.
Qi Huang, Chuan Zhou, Jia Wu, Luchen Liu, Bin Wang
2023 — conf
Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce.
ECIR (2)
Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou
2023 J jnl
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation.
ACM Trans. Inf. Syst.
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li
2023 J jnl
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.
Pattern Recognit.
Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang
2023 A* conf
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels.
NeurIPS
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
2023 J jnl
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels.
CoRR
Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan
2023 J jnl
Graph Self-Supervised Learning: A Survey.
IEEE Trans. Knowl. Data Eng.
Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu
2023 J jnl
GraphNAS++: Distributed Architecture Search for Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou
2023 J jnl
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu
2023 B conf
ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
IEEE Big Data
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu
2023 J jnl
ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
CoRR
Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou
2023 A* conf
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences.
ICDM
Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen
2023 J jnl
Online Active Learning for Drifting Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao
2023 J jnl
Projective Ranking-Based GNN Evasion Attacks.
IEEE Trans. Knowl. Data Eng.
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan
2022 J jnl
API-GNN: attribute preserving oriented interactive graph neural network.
World Wide Web
Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu
2022 J jnl
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
2022 A* conf
DAGAD: Data Augmentation for Graph Anomaly Detection.
ICDM
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 J jnl
DAGAD: Data Augmentation for Graph Anomaly Detection.
CoRR
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
2022 A* conf
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.
NeurIPS
Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
2022 J jnl
Geometry Contrastive Learning on Heterogeneous Graphs.
CoRR
Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang
2022 J jnl
Graph-level Neural Networks: Current Progress and Future Directions.
CoRR
Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal
2022 A* conf
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections.
WWW
Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu
2022 A* conf
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing.
ICDM
Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan
2022 A conf
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks.
WSDM
Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang
2022 J jnl
Projective Ranking-based GNN Evasion Attacks.
CoRR
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan
2022 A* conf
Pseudo-Riemannian Graph Convolutional Networks.
NeurIPS
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
2022 A* conf
Task-level Relations Modelling for Graph Meta-learning.
ICDM
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li
2022 A* conf
Ultrahyperbolic Knowledge Graph Embeddings.
KDD
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
2022 J jnl
Ultrahyperbolic Knowledge Graph Embeddings.
CoRR
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
2022 J jnl
VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily.
CoRR
Fengzhao Shi, Ren Li, Yanan Cao, Yanmin Shang, Lanxue Zhang, Chuan Zhou, Jia Wu, Shirui Pan
2022 Misc conf
Wlinker: Modeling Relational Triplet Extraction As Word Linking.
ICASSP
Yongxiu Xu, Chuan Zhou, Heyan Huang, Jing Yu, Yue Hu
2022 J jnl
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks.
ACM Trans. Inf. Syst.
Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao
2021 J jnl
A Comprehensive Survey on Community Detection with Deep Learning.
CoRR
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
2021 B conf
A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources.
IJCNN
Yongxiu Xu, Heyan Huang, Chong Feng, Chuan Zhou, Jiarui Zhang, Yue Hu
2021 J jnl
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning.
CoRR
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis
2021 A* conf
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.
ICDM
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang
2021 A* conf
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance.
ICDM
Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng
2021 A conf
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.
CIKM
Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu
2021 J jnl
Graph Self-Supervised Learning: A Survey.
CoRR
Yixin Liu, Shirui Pan, Ming Jin, Chuan Zhou, Feng Xia, Philip S. Yu
2021 A* conf
Heterogeneous Graph Neural Architecture Search.
ICDM
Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu
2021 J jnl
Learning graph attention-aware knowledge graph embedding.
Neurocomputing
Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li
2021 A* conf
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.
IJCAI
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
2021 J jnl
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.
CoRR
Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan
2021 J jnl
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting.
IEEE Trans. Pattern Anal. Mach. Intell.
Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su
2021 A conf
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks.
CIKM
He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan
2021 J jnl
Semi-Riemannian Graph Convolutional Networks.
CoRR
Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
2021 A* conf
Task-adaptive Neural Process for User Cold-Start Recommendation.
WWW
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
2021 J jnl
Task-adaptive Neural Process for User Cold-Start Recommendation.
CoRR
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang
2021 J jnl
Towards embedding information diffusion data for understanding big dynamic networks.
Neurocomputing
Hong Yang, Peng Zhang, Haishuai Wang, Chuan Zhou, Zhao Li, Li Gao, Qingfeng Tan
2020 A* conf
AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks.
ICDM
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing
2020 A* conf
Deep Learning for Community Detection: Progress, Challenges and Opportunities.
IJCAI
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020 J jnl
Deep Learning for Community Detection: Progress, Challenges and Opportunities.
CoRR
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu
2020 A* conf
Deep Semantic Network Representation.
ICDM
Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang
2020 J jnl
Detecting the evolving community structure in dynamic social networks.
World Wide Web
Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng
2020 A* conf
Discrete Embedding for Latent Networks.
IJCAI
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
2020 A* conf
Exploratory Adversarial Attacks on Graph Neural Networks.
ICDM
Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang
2020 A* conf
GSSNN: Graph Smoothing Splines Neural Networks.
AAAI
Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang
2020 A* conf
Graph Geometry Interaction Learning.
NeurIPS
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
2020 J jnl
Graph Geometry Interaction Learning.
CoRR
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang
2020 A* conf
Graph Neural Architecture Search.
IJCAI
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
2020 A* conf
Graph Stochastic Neural Networks for Semi-supervised Learning.
NeurIPS
Haibo Wang, Chuan Zhou, Xin Chen, Jia Wu, Shirui Pan, Jilong Wang
2020 A* conf
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning.
IJCAI
Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari
2020 A* conf
Unsupervised Domain Adaptive Graph Convolutional Networks.
WWW
Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu
2020 J jnl
Weighted partial order oriented three-way decisions under score-based common voting rules.
Int. J. Approx. Reason.
Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang
2019 A* conf
Deep Active Learning for Anchor User Prediction.
IJCAI
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
2019 J jnl
Deep Active Learning for Anchor User Prediction.
CoRR
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo
2019 B conf
Deep Structure Learning for Rumor Detection on Twitter.
IJCNN
Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang
2019 J jnl
Deep trajectory: a deep learning approach for mobile advertising in vehicular networks.
Neural Comput. Appl.
Xin Li, Liang Yang, Yi Li, Chuan Zhou
2019 A* conf
Domain-Adversarial Graph Neural Networks for Text Classification.
ICDM
Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan
2019 B conf
Evolutionary Community Detection in Dynamic Social Networks.
IJCNN
Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang
2019 J jnl
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning.
CoRR
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
2019 A* conf
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.
ICDM
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang
2019 A* conf
Low-Bit Quantization for Attributed Network Representation Learning.
IJCAI
Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang
2019 J jnl
Multi-View Fusion with Extreme Learning Machine for Clustering.
ACM Trans. Intell. Syst. Technol.
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, Philip S. Yu
2019 A* conf
Relation Structure-Aware Heterogeneous Graph Neural Network.
ICDM
Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang
2019 B conf
Smooth Deep Network Embedding.
IJCNN
Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo
2018 A* conf
Active Discriminative Network Representation Learning.
IJCAI
Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu
2018 J jnl
Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications.
Complex.
Jia Wu, Shirui Pan, Chuan Zhou, Gang Li, Wu He, Chengqi Zhang
2018 J jnl
Collective semantic behavior extraction in social networks.
J. Comput. Sci.
Lei Li, Chuan Zhou, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu
2018 A* conf
Deep Structure Learning for Fraud Detection.
ICDM
Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang
2018 J jnl
Early detection of dynamic harmful cascades in large-scale networks.
J. Comput. Sci.
Chuan Zhou, Weixue Lu, Jingzun Zhang, Lei Li, Yue Hu, Li Guo
2018 B conf
FraudNE: a Joint Embedding Approach for Fraud Detection.
IJCNN
Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo
2018 — conf
Multi-target Core Network-Based Networked Multi-label Classification.
ICBK
Lei Li, Fang Zhang, Di Ma, Chuan Zhou, Xuegang Hu
2018 A* conf
Recommendation with Multi-Source Heterogeneous Information.
IJCAI
Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu
2018 A* conf
Social Recommendation with an Essential Preference Space.
AAAI
Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo
2018 B conf
User Alignment via Structural Interaction and Propagation.
IJCNN
Anfeng Cheng, Chun-Yi Liu, Chuan Zhou, Jianlong Tan, Li Guo
2018 B conf
iWalk: Interest-Aware Random Walk for Network Embedding.
IJCNN
Wen Zan, Chuan Zhou, Hong Yang, Yue Hu, Li Guo
2017 B conf
CPMF: A collective pairwise matrix factorization model for upcoming event recommendation.
IJCNN
Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo
2017 A* conf
Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation.
AAAI
Li Gao, Jia Wu, Chuan Zhou, Yue Hu
2017 Misc conf
Double-bit quantization and weighting for nearest neighbor search.
ICASSP
Han Deng, Hongtao Xie, Wei Ma, Zhendong Mao, Chuan Zhou
2017 J jnl
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data.
Data Min. Knowl. Discov.
Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang
2017 J jnl
Instance cloned extreme learning machine.
Pattern Recognit.
Yongshan Zhang, Jia Wu, Chuan Zhou, Zhihua Cai
2017 — conf
Uyghur Language Text Detection in Complex Background Images Using Enhanced MSERs.
MMM (1)
Shun Liu, Hongtao Xie, Chuan Zhou, Zhendong Mao
2016 B conf
A recursive method for big network influence estimation.
IJCNN
Weixue Lu, Chuan Zhou, Jia Wu, Chun-Yi Liu, Li Gao, Yue Hu
2016 J jnl
Big social network influence maximization via recursively estimating influence spread.
Knowl. Based Syst.
Weixue Lu, Chuan Zhou, Jia Wu
2016 A conf
Collaborative Social Group Influence for Event Recommendation.
CIKM
Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu
2016 A conf
Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach.
CIKM
Yao Lu, Zhi Qiao, Chuan Zhou, Yue Hu, Li Guo
2016 B conf
Mining subcascade features for cascade outbreak prediction in big networks.
IJCNN
Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu
2016 — conf
Multiple-Instance Learning with Evolutionary Instance Selection.
DASFAA (1)
Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai
2016 A* conf
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks.
AAAI
Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo
2016 A* conf
Semi-Data-Driven Network Coarsening.
IJCAI
Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu
2015 J jnl
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng.
Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
2015 — conf
Efficient Sensor Placement Optimization for Early Detection of Contagious Outbreaks in Mobile Social Networks.
IEEE MS
Chuan Zhou, Ruisheng Shi, Wenyu Zang, Li Guo
2015 — conf
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data.
PAKDD (2)
Peng Wang, Chuan Zhou, Peng Zhang, Weiwei Feng, Li Guo, Binxing Fang
2015 — conf
Fast Search for Distance Dependent Chinese Restaurant Processes.
WWW (Companion Volume)
Weiwei Feng, Peng Wang, Chuan Zhou, Li Guo, Peng Zhang
2015 A* conf
Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation.
IJCAI
Weixue Lu, Peng Zhang, Chuan Zhou, Chun-Yi Liu, Li Gao
2015 J jnl
Locating multiple sources in social networks under the SIR model: A divide-and-conquer approach.
J. Comput. Sci.
Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo
2015 A conf
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence.
CIKM
Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Guo Li
2015 J jnl
On the Upper Bounds of Spread for Greedy Algorithms in Social Network Influence Maximization.
IEEE Trans. Knowl. Data Eng.
Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo
2015 — conf
Online Event Recommendation for Event-based Social Networks.
WWW (Companion Volume)
Xiancai Ji, Zhi Qiao, Mingze Xu, Peng Zhang, Chuan Zhou, Li Guo
2015 — conf
Topic-aware Social Influence Minimization.
WWW (Companion Volume)
Qipeng Yao, Ruisheng Shi, Chuan Zhou, Peng Wang, Li Guo
2015 — conf
Topic-aware Source Locating in Social Networks.
WWW (Companion Volume)
Wenyu Zang, Chuan Zhou, Li Guo, Peng Zhang
2014 — conf
An upper bound based greedy algorithm for mining top-k influential nodes in social networks.
WWW (Companion Volume)
Chuan Zhou, Peng Zhang, Jing Guo, Li Guo
2014 A* conf
Combining Heterogenous Social and Geographical Information for Event Recommendation.
AAAI
Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang
2014 — conf
Combining geographical information of users and content of items for accurate rating prediction.
WWW (Companion Volume)
Zhi Qiao, Peng Zhang, Jing He, Yanan Cao, Chuan Zhou, Li Guo
2014 J jnl
Comparative study between incremental and ensemble learning on data streams: Case study.
J. Big Data
Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo
2014 Misc conf
Discovering Multiple Diffusion Source Nodes in Social Networks.
ICCS
Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo
2014 A* conf
Event Recommendation in Event-Based Social Networks.
AAAI
Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang
2014 Misc conf
Improving Collaborative Recommendation via Location-based User-item Subgroup.
ICCS
Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo
2014 Misc conf
Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists.
ICCS
Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo
2014 — conf
Maximizing the long-term integral influence in social networks under the voter model.
WWW (Companion Volume)
Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo
2014 — conf
Minimizing the Negative Influence by Blocking Links in Social Networks.
ISCTCS
Qipeng Yao, Chuan Zhou, Linbo Xiang, Yanan Cao, Li Guo
2014 — conf
Nonparametric Topic-Aware Sparsification of Influence Networks.
ISCTCS
Weiwei Feng, Peng Wang, Chuan Zhou, Yue Hu, Li Guo
2014 A* conf
Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction.
ICDM
Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, Li Guo
2014 C conf
Topic Block: Mining User Inner Interests for Text and Link Analysis in Social Networks.
PDCAT
Wenyu Zang, Chuan Zhou, Xiao Wang, Li Guo
2013 — conf
Item-Based Top-k Influential User Discovery in Social Networks.
ICDM Workshops
Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo
2013 A conf
Personalized influence maximization on social networks.
CIKM
Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo
2013 A* conf
UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks.
ICDM
Chuan Zhou, Peng Zhang, Jing Guo, Xingquan Zhu, Li Guo