Sheng Zhou
Sheng Zhou

Sheng Zhou

Associate Professor, Zhejiang University

My group's research goal is to build reliable, usable intelligent systems that address information accessibility barriers faced by older adults and people with disabilities. We focus on structured data learning and multimodal agents.

Selected Publications

Google Scholar
  1. 2026
    NexusQA: Spatio-Temporal Interlacement Grounded VideoQA
    Xiaojun Ye, Chun Wang, Junliang Chen, Sheng Zhou*, Rui Wang, Zixu Yan, Bingxin Jia, Bin Li, Yiren Song, Jiajun Bu
    ACM International Conference on Multimedia (ACM MM 2026)
    PDFCode
  2. 2026
    CogniCred: A Dataset and Benchmark for Cognitive Credential Forgery Detection
    Junchi Li, Jiasheng Sun, Weizhi Chen, Ziwei Wang, Sheng Zhou*, Jiajun Bu, Chenfan Qu, Bohan Yu, Jian Liu*, Weiqiang Wang
    European Conference on Computer Vision (ECCV 2026)
    PDFData
  3. 2026
    Towards Scalable Web Accessibility Audit with MLLMs as Copilots
    Ming Gu, Ziwei Wang, Sicen Lai, Zirui Gao, Sheng Zhou*, Jiajun Bu
    AAAI Conference on Artificial Intelligence, AI for Social Impact Track (AAAI 2026)
    PDFCode
  4. 2026
    Open-World LLM Logical Reasoning
    Ye Mo, Chuan Zhou, Fengxiang Cheng, Jialin Yu, Fenrong Liu, Liangming Pan, Sheng Zhou*, Haoxuan Li, Zhouchen Lin, Philip Torr
    International Conference on Machine Learning (ICML 2026)
    PDFCode
  5. 2026
    Towards Next Graph Token Prediction: Discrete Graph Tokenization for Structural Reasoning in Large Language Models
    Zhonghao Wang, Yugang Ji, Zhuonan Zheng, Sheng Zhou*, Weigao Wen, Minghao Li, Ming Gu, Zhiyao Zhou, Jiajun Bu
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)
    PDFCode
  6. 2026
    MOBI: Monolithic Graph-Language Modeling Beyond Modality Interference
    Zhiyao Zhou, Yugang Ji, Ziwen Xu, Zhuonan Zheng, Sheng Zhou*, Weigao Wen, Jiawei Chen, Ming Gu, Chun Chen, Can Wang
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)
    PDFCode
  7. 2026
    REAL: Resolving Knowledge Conflicts in Knowledge-Intensive Visual Question Answering via Reasoning-Pivot Alignment
    Kai Ye, Xianwei Mao, Sheng Zhou*, Zirui Shao, Ye Mo, Liangliang Liu, Haikuan Huang, Bin Li, Jiajun Bu
    International Conference on Machine Learning (ICML 2026)
    PDF
  8. 2026
    Towards Scalable Lightweight GUI Agents via Multi-role Orchestration
    Ziwei Wang, Junjie Zheng, Leyang Yang, Sheng Zhou*, Xiaoxuan Tang, Zhouhua Fang, Zhiwei Liu, Dajun Chen, Yong Li*, Jiajun Bu
    Findings of the Association for Computational Linguistics (ACL 2026)
    PDFCode
  9. 2026
    ChartAccessMobile: An Intelligent System for Accessible Chart Navigation on Mobile Applications
    Xinjun Zhu, Ming Shen, Sheng Zhou*, Ruotian Pang, Liangcheng Li, Jiajun Bu*
    International Web for All Conference (W4A 2026)
    PDF
  10. 2026
    Bridging the Semantic Void: A Dual-branch RAG Framework to Enhance GUI Component Description for BVI Users
    Yuxuan Wu, Sheng Zhou*, Ziwei Wang, Liangcheng Li, Jiajun Bu*
    International Web for All Conference (W4A 2026)
    PDF
  11. 2026
    History-Aware Reasoning for GUI Agents
    Ziwei Wang, Leyang Yang, Xiaoxuan Tang, Chen Dajun, Wei Jiang, Yong Li, Sheng Zhou*
    AAAI Conference on Artificial Intelligence (AAAI 2026)
    PDFCode
  12. 2025
    PG-Agent: An Agent Powered by Page Graph
    Weizhi Chen, Ziwei Wang, Leyang Yang, Sheng Zhou*, Xiaoxuan Tang, Jiajun Bu, Yong Li, Wei Jiang
    ACM International Conference on Multimedia (ACM MM 2025)
    PDFCode
  13. 2025
    TableNarrator: Making Image Tables Accessible to Blind and Low Vision People
    Ye Mo, Gang Huang, Liangcheng Li, Dazhen Deng, Zhi Yu, Yilun Xu, Kai Ye, Sheng Zhou*, Jiajun Bu
    CHI Conference on Human Factors in Computing Systems (CHI 2025)
    PDF
  14. 2025
    Towards an Inclusive Mobile Web: A Dataset and Framework for Focusability in UI Accessibility
    Ming Gu, Lei Pei, Sheng Zhou*, Ming Shen, Yuxuan Wu, Zirui Gao, Ziwei Wang, Shuo Shan, Wei Jiang, Yong Li, Jiajun Bu
    The Web Conference (WWW 2025)
    PDFCode
  15. 2024
    A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
    Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
    ACM Computing Surveys
    PDFCode
  16. 2023
    OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
    Zhiyao Zhou, Sheng Zhou*, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
    Conference on Neural Information Processing Systems (NeurIPS 2023)
    PDFCode
  17. 2022
    Distilling Holistic Knowledge with Graph Neural Networks
    Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
    International Joint Conference on Artificial Intelligence (IJCAI 2022)
    PDFCode
  18. 2026
    ProBench: Benchmarking GUI Agents with Accurate Process Information
    Leyang Yang, Ziwei Wang, Xiaoxuan Tang, Chen Dajun, Wei Jiang, Yong Li, Sheng Zhou*
    AAAI Conference on Artificial Intelligence (AAAI 2026)
    PDF
  19. 2025
    Enhancing Graph Condensation via Key Information Reconstruction
    Hongjia Xu, Sheng Zhou*, Zhuonan Zheng, Qiaoyu Tan, Jiawei Chen, Jiajun Bu
    IEEE Transactions on Knowledge and Data Engineering (TKDE)
    PDFCode
  20. 2025
    Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
    Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou, Sheng Zhou*, Yao Ma, Ming Gu, Hongjia Xu, Jiawei Chen, Jiajun Bu
    Conference on Neural Information Processing Systems (NeurIPS 2025)
    PDFCode
  21. 2025
    Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction
    Zhonghao Wang, Yuanchen Bei, Sheng Zhou*, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu
    ACM International Conference on Information and Knowledge Management (CIKM 2025)
    PDFCode
  22. 2025
    Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection
    Ming Gu, Gaoming Yang, Zhuonan Zheng, Meihan Liu, Haishuai Wang, Jiawei Chen, Sheng Zhou*, Jiajun Bu
    Neural Networks
    PDFCode
  23. 2025
    Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
    Yuanchen Bei, Sheng Zhou*, Jinke Shi, Yao Ma, Haishuai Wang, Jiajun Bu
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    PDF
  24. 2025
    Towards a Unified Framework of Clustering-based Anomaly Detection
    Zeyu Fang, Ming Gu, Sheng Zhou*, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu
    International Conference on Machine Learning (ICML 2025)
    PDF
  25. 2025
    M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models
    Xiaojun Ye, Guanbao Liang, Liangcheng Li, Chun Wang, Pengfei Ke, Rui Wang, Bingxin Jia, Gang Huang, Qiao Sun, Sheng Zhou*
    International Joint Conference on Artificial Intelligence (IJCAI 2025)
    PDFCode
  26. 2025
    MP-GUI: Modality Perception with MLLMs for GUI Understanding
    Ziwei Wang, Weizhi Chen, Leyang Yang, Sheng Zhou*, Shengchu Zhao, Hanbei Zhan, Jiongchao Jin, Liangcheng Li, Zirui Shao, Jiajun Bu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
    PDFCode
  27. 2024
    MMAD: Multi-modal Movie Audio Description
    Xiaojun Ye, Junhao Chen, Xiang Li, Haidong Xin, Chao Li, Sheng Zhou*, Jiajun Bu
    International Conference on Computational Linguistics (COLING 2024)
    PDFCode
  28. 2024
    Making Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies
    Ming Shen, Gang Huang, Yuxuan Wu, Shuyi Song, Sheng Zhou, Liangcheng Li, Zhi Yu, Wei Wang, Jiajun Bu
    International Web for All Conference (W4A 2024)
    PDF
  29. 2025
    Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey
    Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou*, Zhuonan Zheng, Jiajun Bu
    ACM Transactions on Knowledge Discovery from Data (TKDD)
    PDFCode
  30. 2024
    NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
    Zhonghao Wang, Danyu Sun, Sheng Zhou*, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
    Conference on Neural Information Processing Systems (NeurIPS 2024)
    PDFCode
  31. 2024
    Structure Enhanced Prototypical Alignment for Unsupervised Cross-domain Node Classification
    Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou*, Jiajun Bu
    Neural Networks
    PDF
  32. 2024
    Rethinking Propagation for Unsupervised Graph Domain Adaptation
    Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou*, Xin Wang, Jiajun Bu
    AAAI Conference on Artificial Intelligence (AAAI 2024)
    PDFCode
  33. 2024
    CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
    Yuanchen Bei, Hao Xu, Sheng Zhou*, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu
    IEEE International Conference on Data Engineering (ICDE 2024)
    PDFCode

Projects

Deep Clustering GitHub stars

A curated collection of deep clustering papers, taxonomies, surveys, and reproducible implementations.

PaperGitHub

DGLD GitHub stars

An open-source DGL library for developing and evaluating deep graph anomaly detection methods.

WebsiteGitHub

OpenGSL GitHub stars

A unified benchmark and toolkit for evaluating graph structure learning methods and protocols.

PaperGitHub

NoisyGL GitHub stars

A comprehensive benchmark for studying graph neural networks under realistic label noise.

PaperGitHub

Courses

Awards

  1. WSDM 2025 Best Paper AwardHow Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
    Paper
  2. W4A 2024 Best Communication Paper CandidateMaking Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies
    Paper
  3. ICDM Cup 2022 - WinnerRisk Commodities Detection on Large-scale E-commerce Graphs
    SolutionCode
  4. CIKM Cup 2022 - WinnerFederated Hetero-Task Learning
    Code
  5. WWW Competition - 2nd PlaceMultimodal Dialogue System Intent Recognition Challenge
    Solution
  6. KDD Cup 2022 - 3rd PlaceAmazon Multiclass Product Classification and Product Subtitle Identification Tasks
    Solution
  7. WSDM Cup 2022 - 3rd PlaceCross-Market Recommendation Challenge
    SolutionCode

Contact

I am interested in working with students and collaborators on multimodal learning, intelligent agents, and accessible computing. Please contact me at zhousheng_zju@zju.edu.cn.