周晟
周晟

周晟

浙江大学软件学院副教授

团队的研究目标是面向老年人、残疾人的信息障碍问题，构建可靠、可用的智能系统。重点关注结构化数据学习和多模态智能体。

精选论文

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 MM 2026
    PDF代码
  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
    ECCV 2026
    PDF数据集
  3. 2026
    Towards Scalable Web Accessibility Audit with MLLMs as Copilots
    Ming Gu, Ziwei Wang, Sicen Lai, Zirui Gao, Sheng Zhou*, Jiajun Bu
    AAAI 2026, AI for Social Impact Track
    PDF代码
  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
    ICML 2026
    PDF代码
  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
    KDD 2026
    PDF代码
  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
    KDD 2026
    PDF代码
  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
    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 ACL 2026
    PDF代码
  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*
    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*
    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 2026
    PDF代码
  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 MM 2025
    PDF代码
  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 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
    WWW 2025
    PDF代码
  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
    PDF代码
  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
    NeurIPS 2023
    PDF代码
  17. 2022
    Distilling Holistic Knowledge with Graph Neural Networks
    Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
    IJCAI 2022
    PDF代码
  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 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
    PDF代码
  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
    NeurIPS 2025
    PDF代码
  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
    CIKM 2025
    PDF代码
  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
    PDF代码
  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
    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
    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*
    IJCAI 2025
    PDF代码
  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
    CVPR 2025
    PDF代码
  27. 2024
    MMAD: Multi-modal Movie Audio Description
    Xiaojun Ye, Junhao Chen, Xiang Li, Haidong Xin, Chao Li, Sheng Zhou*, Jiajun Bu
    COLING 2024
    PDF代码
  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
    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
    PDF代码
  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
    NeurIPS 2024
    PDF代码
  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 2024
    PDF代码
  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
    ICDE 2024
    PDF代码

项目

Deep Clustering GitHub stars

涵盖深度聚类论文、分类体系、综述与可复现实现的资源集合。

论文GitHub

DGLD GitHub stars

基于DGL的开源工具库，用于开发和评测深度图异常检测方法。

网站GitHub

OpenGSL GitHub stars

用于评测图结构学习方法、数据集与实验协议的统一基准和工具集。

论文GitHub

NoisyGL GitHub stars

研究真实标签噪声条件下图神经网络的综合评测基准。

论文GitHub

课程

奖项

  1. WSDM 2025 Best Paper AwardHow Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
    论文
  2. W4A 2024 Best Communication Paper CandidateMaking Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies
    论文
  3. ICDM Cup 2022 - 冠军大规模电商图上的风险商品检测
    方案代码
  4. CIKM Cup 2022 - 冠军联邦异构任务学习
    代码
  5. WWW Competition - 亚军多模态对话系统意图识别挑战赛
    方案
  6. KDD Cup 2022 - 季军亚马逊多分类商品分类与商品副标题识别任务
    方案
  7. WSDM Cup 2022 - 季军跨市场推荐挑战赛
    方案代码

联系

欢迎对多模态学习、智能体和无障碍计算感兴趣的学生与合作者联系我：zhousheng_zju@zju.edu.cn。