| 2026 | AAAI | Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation. | Luyao Chang, Leiting Chen, Chen Yang, Chuan Zhou |
| 2026 | AAAI | Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract). | Fengxiang Cheng, Chuan Zhou, Fenrong Liu, Robert van Rooij |
| 2026 | AAAI | Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time. | Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan |
| 2026 | AAAI | Uplift Modeling with Delayed Feedback: Identifiability and Algorithms. | Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li, Zhouchen Lin |
| 2026 | ACL | Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification. | Fengxiang Cheng, Chuan Zhou, Xiang Li, Haoxuan Li, Wen-li Wang, Jinkun Chen, Mingming Gong, Kun Zhang |
| 2026 | ACL | CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems. | Yongxuan Wu, Xixun Lin, He Zhang, Nan Sun, Kun Wang, Chuan Zhou, Shirui Pan, Yanan Cao |
| 2026 | WWW | MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. | Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu |
| 2025 | EMNLP | Mitigating Spurious Correlations via Counterfactual Contrastive Learning. | Fengxiang Cheng, Chuan Zhou, Xiang Li, Alina Leidinger, Haoxuan Li, Mingming Gong, Fenrong Liu, Robert van Rooij |
| 2025 | ICASSP | Uncertainty-aware Correspondence Distillation for Deep Image Clustering. | Luyao Chang, Leiting Chen, Chuan Zhou |
| 2025 | ICASSP | Node-Centric Meta Structure Search in Heterogeneous Graphs. | Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Chuan Zhou, Peng Zhang, Yong Ding, Qingyun Liu, Hongyang Chen |
| 2025 | ICDM | Heterogeneous Graph Anomaly Detection with Graph Wavelet Transformer. | Xiaoou Zhang, Chuan Zhou, Yang Liu, Shuai Zhang, Peng Zhang, Yujia Zhu, Qingyun Liu |
| 2025 | ICML | Test-Time Graph Neural Dataset Search With Generative Projection. | Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan |
| 2025 | ICML | Conformal Anomaly Detection in Event Sequences. | Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan |
| 2025 | IJCAI | Sharpness-aware Zeroth-order Optimization for Graph Transformers. | Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan |
| 2025 | KDD | A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. | Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong |
| 2025 | WWW | Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. | Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu |
| 2025 | WWW | Graph Wave Networks. | Juwei Yue, Haikuo Li, Jiawei Sheng, Yihan Guo, Xinghua Zhang, Chuan Zhou, Tingwen Liu, Li Guo |
| 2024 | AAAI | Deep Reinforcement Learning for Early Diagnosis of Lung Cancer. | Yifan Wang, Qining Zhang, Lei Ying, Chuan Zhou |
| 2024 | ACL | Phased Instruction Fine-Tuning for Large Language Models. | Wei Pang, Chuan Zhou, Xiao-Hua Zhou, Xiaojie Wang |
| 2024 | DCC | Super Resolution with Luma Component Enhancement for Down-up Sampling Based Video Coding in VVC. | Jiedong Ye, Qinglin Zhou, Qiong Liu, Kejun Wu, Xu Li, Yiqing Zhu, Chuan Zhou |
| 2024 | HPCC | Unsupervised Pre-trained Social Networks for E-commerce Community Detection. | Ting Li, Chunqi Wu, Yang Liu, Zhao Li, Chuan Zhou, Chenhao Qiu, Hongyang Chen, Yongchao Liu, Peng Du, Chuntao Hong |
| 2024 | HPDC | ETS: Deep Learning Training Iteration Time Prediction based on Execution Trace Sliding Window. | Zichao Yang, Hao Guo, Heng Wu, Yuewen Wu, Hua Zhong, Wenbo Zhang, Chuan Zhou, Yan Liu |
| 2024 | ICASSP | Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. | Xiaoou Zhang, Yang Gao, Yang Liu, Yujia Zhu, Peng Zhang, Chuan Zhou, Qingyun Liu, Hongyang Chen |
| 2024 | ICDM | CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. | Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu |
| 2024 | ICDM | UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation. | Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou |
| 2024 | ICML | Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. | Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao |
| 2024 | ICML | Neural Jump-Diffusion Temporal Point Processes. | Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma |
| 2024 | ICWS | Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. | Zhao Li, Yang Liu, Chuan Zhou, Xuanwu Liu, Xuming Pan, Buqing Cao, Xindong Wu |
| 2024 | ICWS | Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. | Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yiling Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen |
| 2023 | ECIR | Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. | Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou |
| 2023 | ICDM | Decision-focused Graph Neural Networks for Graph Learning and Optimization. | Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen |
| 2023 | ICDM | Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. | Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen |
| 2023 | WWW | CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. | Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang |
| 2023 | WWW | Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. | Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan |
| 2022 | ICASSP | Wlinker: Modeling Relational Triplet Extraction As Word Linking. | Yongxiu Xu, Chuan Zhou, Heyan Huang, Jing Yu, Yue Hu |
| 2022 | ICDM | DAGAD: Data Augmentation for Graph Anomaly Detection. | Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal |
| 2022 | ICDM | Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. | Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan |
| 2022 | ICDM | Task-level Relations Modelling for Graph Meta-learning. | Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li |
| 2022 | KDD | Ultrahyperbolic Knowledge Graph Embeddings. | Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab |
| 2022 | WWW | H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. | Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu |
| 2022 | WSDM | Predicting Human Mobility via Graph Convolutional Dual-attentive Networks. | Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang |
| 2021 | CIKM | Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. | Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu |
| 2021 | CIKM | Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. | He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan |
| 2021 | ICDM | Heterogeneous Graph Neural Architecture Search. | Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu |
| 2021 | ICDM | Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. | Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang |
| 2021 | ICDM | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. | Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng |
| 2021 | ICICS | Disappeared Face: A Physical Adversarial Attack Method on Black-Box Face Detection Models. | Chuan Zhou, Huiyun Jing, Xin He, Liming Wang, Kai Chen, Duohe Ma |
| 2021 | IJCAI | Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. | Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan |
| 2021 | IJCNN | A Relation-aware Attention Neural Network for Modeling the Usage of Scientific Online Resources. | Yongxiu Xu, Heyan Huang, Chong Feng, Chuan Zhou, Jiarui Zhang, Yue Hu |
| 2021 | WWW | Task-adaptive Neural Process for User Cold-Start Recommendation. | Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang |
| 2020 | AAAI | GSSNN: Graph Smoothing Splines Neural Networks. | Shichao Zhu, Lewei Zhou, Shirui Pan, Chuan Zhou, Guiying Yan, Bin Wang |
| 2020 | ICDM | Exploratory Adversarial Attacks on Graph Neural Networks. | Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang |
| 2020 | ICDM | Deep Semantic Network Representation. | Xuexiong Luo, Jia Wu, Chuan Zhou, Xiankun Zhang, Yuan Wang |
| 2020 | ICDM | AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. | Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing |
| 2020 | IJCAI | Graph Neural Architecture Search. | Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu |
| 2020 | IJCAI | Deep Learning for Community Detection: Progress, Challenges and Opportunities. | Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Ccile Paris, Surya Nepal, Jian Yang, Philip S. Yu |
| 2020 | IJCAI | Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. | Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari |
| 2020 | IJCAI | Discrete Embedding for Latent Networks. | Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang |
| 2020 | WWW | Unsupervised Domain Adaptive Graph Convolutional Networks. | Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu |
| 2019 | ICDM | Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. | Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang |
| 2019 | ICDM | Domain-Adversarial Graph Neural Networks for Text Classification. | Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan |
| 2019 | ICDM | Relation Structure-Aware Heterogeneous Graph Neural Network. | Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang |
| 2019 | IJCAI | Deep Active Learning for Anchor User Prediction. | Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo |
| 2019 | IJCAI | Low-Bit Quantization for Attributed Network Representation Learning. | Hong Yang, Shirui Pan, Ling Chen, Chuan Zhou, Peng Zhang |
| 2019 | IJCNN | Deep Structure Learning for Rumor Detection on Twitter. | Qi Huang, Chuan Zhou, Jia Wu, Mingwen Wang, Bin Wang |
| 2019 | IJCNN | Evolutionary Community Detection in Dynamic Social Networks. | Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang |
| 2019 | IJCNN | Smooth Deep Network Embedding. | Mengyu Zheng, Chuan Zhou, Jia Wu, Li Guo |
| 2018 | AAAI | Social Recommendation with an Essential Preference Space. | Chun-Yi Liu, Chuan Zhou, Jia Wu, Yue Hu, Li Guo |
| 2018 | ICDM | Deep Structure Learning for Fraud Detection. | Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, Jilong Wang |
| 2018 | IJCAI | Recommendation with Multi-Source Heterogeneous Information. | Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu |
| 2018 | IJCAI | Active Discriminative Network Representation Learning. | Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu |
| 2018 | IJCNN | User Alignment via Structural Interaction and Propagation. | Anfeng Cheng, Chun-Yi Liu, Chuan Zhou, Jianlong Tan, Li Guo |
| 2018 | IJCNN | iWalk: Interest-Aware Random Walk for Network Embedding. | Wen Zan, Chuan Zhou, Hong Yang, Yue Hu, Li Guo |
| 2018 | IJCNN | FraudNE: a Joint Embedding Approach for Fraud Detection. | Mengyu Zheng, Chuan Zhou, Jia Wu, Shirui Pan, Jinqiao Shi, Li Guo |
| 2017 | AAAI | Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation. | Li Gao, Jia Wu, Chuan Zhou, Yue Hu |
| 2017 | ICASSP | Double-bit quantization and weighting for nearest neighbor search. | Han Deng, Hongtao Xie, Wei Ma, Zhendong Mao, Chuan Zhou |
| 2017 | IJCNN | CPMF: A collective pairwise matrix factorization model for upcoming event recommendation. | Chun-Yi Liu, Chuan Zhou, Jia Wu, Hongtao Xie, Yue Hu, Li Guo |
| 2017 | MMM | Uyghur Language Text Detection in Complex Background Images Using Enhanced MSERs. | Shun Liu, Hongtao Xie, Chuan Zhou, Zhendong Mao |
| 2016 | AAAI | On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks. | Chuan Zhou, Weixue Lu, Peng Zhang, Jia Wu, Yue Hu, Li Guo |
| 2016 | CIKM | Collaborative Social Group Influence for Event Recommendation. | Li Gao, Jia Wu, Zhi Qiao, Chuan Zhou, Hong Yang, Yue Hu |
| 2016 | CIKM | Location-aware Friend Recommendation in Event-based Social Networks: A Bayesian Latent Factor Approach. | Yao Lu, Zhi Qiao, Chuan Zhou, Yue Hu, Li Guo |
| 2016 | DASFAA | Multiple-Instance Learning with Evolutionary Instance Selection. | Yongshan Zhang, Jia Wu, Chuan Zhou, Peng Zhang, Zhihua Cai |
| 2016 | IJCAI | Semi-Data-Driven Network Coarsening. | Li Gao, Jia Wu, Hong Yang, Zhi Qiao, Chuan Zhou, Yue Hu |
| 2016 | IJCNN | A recursive method for big network influence estimation. | Weixue Lu, Chuan Zhou, Jia Wu, Chun-Yi Liu, Li Gao, Yue Hu |
| 2016 | IJCNN | Mining subcascade features for cascade outbreak prediction in big networks. | Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu |
| 2015 | CIKM | Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence. | Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Guo Li |
| 2015 | IJCAI | Influence Maximization in Big Networks: An Incremental Algorithm for Streaming Subgraph Influence Spread Estimation. | Weixue Lu, Peng Zhang, Chuan Zhou, Chun-Yi Liu, Li Gao |
| 2015 | PAKDD | Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data. | Peng Wang, Chuan Zhou, Peng Zhang, Weiwei Feng, Li Guo, Binxing Fang |
| 2015 | WWW | Fast Search for Distance Dependent Chinese Restaurant Processes. | Weiwei Feng, Peng Wang, Chuan Zhou, Li Guo, Peng Zhang |
| 2015 | WWW | Online Event Recommendation for Event-based Social Networks. | Xiancai Ji, Zhi Qiao, Mingze Xu, Peng Zhang, Chuan Zhou, Li Guo |
| 2015 | WWW | Topic-aware Social Influence Minimization. | Qipeng Yao, Ruisheng Shi, Chuan Zhou, Peng Wang, Li Guo |
| 2015 | WWW | Topic-aware Source Locating in Social Networks. | Wenyu Zang, Chuan Zhou, Li Guo, Peng Zhang |
| 2014 | AAAI | Combining Heterogenous Social and Geographical Information for Event Recommendation. | Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang |
| 2014 | AAAI | Event Recommendation in Event-Based Social Networks. | Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang |
| 2014 | ICCS | Improving Collaborative Recommendation via Location-based User-item Subgroup. | Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo |
| 2014 | ICCS | Discovering Multiple Diffusion Source Nodes in Social Networks. | Wenyu Zang, Peng Zhang, Chuan Zhou, Li Guo |
| 2014 | ICCS | Maximizing the Cumulative Influence through a Social Network when Repeat Activation Exists. | Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo |
| 2014 | ICDM | Online Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction. | Zhi Qiao, Peng Zhang, Wenjia Niu, Chuan Zhou, Peng Wang, Li Guo |
| 2014 | PDCAT | Topic Block: Mining User Inner Interests for Text and Link Analysis in Social Networks. | Wenyu Zang, Chuan Zhou, Xiao Wang, Li Guo |
| 2014 | WWW | Combining geographical information of users and content of items for accurate rating prediction. | Zhi Qiao, Peng Zhang, Jing He, Yanan Cao, Chuan Zhou, Li Guo |
| 2014 | WWW | An upper bound based greedy algorithm for mining top-k influential nodes in social networks. | Chuan Zhou, Peng Zhang, Jing Guo, Li Guo |
| 2014 | WWW | Maximizing the long-term integral influence in social networks under the voter model. | Chuan Zhou, Peng Zhang, Wenyu Zang, Li Guo |
| 2013 | CIKM | Personalized influence maximization on social networks. | Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo |
| 2013 | ICDM | Item-Based Top-k Influential User Discovery in Social Networks. | Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo |
| 2013 | ICDM | UBLF: An Upper Bound Based Approach to Discover Influential Nodes in Social Networks. | Chuan Zhou, Peng Zhang, Jing Guo, Xingquan Zhu, Li Guo |
| 2008 | ICIP | Lunar terrain reconstruction using PDEs. | Ji Liu, Yang Cong, Xiaomao Li, Yuechao Wang, Yandong Tang, Chuan Zhou |
| 2006 | ICARCV | A High-Precision Calibration and Optimization Method for Stereo Vision System. | Chuan Zhou, Dalong Tan, Hongwei Gao |
| 2004 | ICARCV | A high-precision binocular method for model-based pose estimation. | Chuan Zhou, Dalong Tan, Feng Zhu |
| 2004 | ICIG | Facial expressive image analysis by using nonlinear factorization model. | Chuan Zhou, Yangzhou Du, Xueyin Lin |
| 2004 | IROS | A high-precision calibration method for distorted camera. | Chuan Zhou, Dalong Tan, Feng Zhu |