杨卫东 教授 / Professor Weidong Yang

Weidong Yang Photo
Weidong Yang
Ph.D, Professor
School of Computer Science
Fudan University
wdyang@fudan.edu.cn

中文简介 / English Bio

杨卫东，复旦大学研究员/教授，博士生导师，IEEE（电气和电子工程师协会）会员，ACM（计算机协会）会员，CCF（中国计算机学会）高级会员。 主要研究方向包括：大数据、软件工程、人工智能、科学智能等。 近三年在 TKDE、PR、T-ITS、CVPR、CIKM、ACM MM 等国内外重要会议和期刊上发表论文三十余篇。 曾多次受邀担任计算机科学领域多个国际知名期刊和会议的审稿人，如 Pattern Recognition 和 CVPR 等。 拥有多项发明专利，出版专著/译著 6 部。

Weidong Yang is a Professor and Ph.D. advisor at Fudan University. He is a member of IEEE and ACM, and a senior member of CCF (China Computer Federation). His main research interests include big data, software engineering, artificial intelligence, and scientific intelligence. In the past three years, he has published over 30 research papers in prestigious journals and conferences such as TKDE, PR, T-ITS, CVPR, CIKM, and ACM MM. He serves as a reviewer for many leading journals and conferences in computer science, including Pattern Recognition and CVPR. He holds several invention patents and has published six books and translated works.

研究兴趣 / Research Interests

当前研究聚焦于数据库与数据挖掘、点云分析、多视图聚类、时间序列数据处理、软件工程与机器学习等方向。

His research interests include Database and Data Mining, Point Cloud, Multi-views Clustering, Time-Series Data and Software Engineering and machine learning.

论文列表 / Publications

  1. Ben Fei, Tianyue Luo, Weidong Yang, Liwen Liu, Rui Zhang, Ying He. Curriculumformer: Taming Curriculum Pre-Training for Enhanced 3-D Point Cloud Understanding. IEEE Transactions on Neural Networks and Learning Systems. 2024/6/13.
  2. S. Wu, W. Tong, Y. Hou, P. Li, W. Yang, and E. Q. Wu. Concept-Aware Entity Alignment Network for Industrial Knowledge Graph. IEEE Transactions on Industrial Informatics, 2025. doi: 10.1109/TII.2024.3523562.
  3. B. Fei, L. Liu, T. Luo, W. Yang, L. Ma, Z. Li. Chen, and W. Chen. Point Patches Contrastive Learning for Enhanced Point Cloud Completion. IEEE Transactions on Multimedia, 2025. doi: 10.1109/TMM.2024.3521854.
  4. B. Fei, Y. Li, W. Yang, W.-M. Chen, and Z. Li. Multi-modality Consistency for Point Cloud Completion via Differentiable Rendering. IEEE Transactions on Artificial Intelligence, 2025. doi: 10.1109/TAI.2025.3527922.
  5. M. Zhou, W. Yang, L. Ma, S. Jiang, B. Xu, and Y. Xiao. Few-Shot Log Analysis with Prompt-Based Multi-task Transfer Learning. DASFAA 2025, Lecture Notes in Computer Science, vol. 14851, pp. 466–475. doi: 10.1007/978-981-97-5779-4_33.
  6. M. Zhou, W. Yang, L. Ma, S. Jiang, B. Xu, and Y. Xiao. Hierarchical Prompt Tuning for System-Incremental Log Analysis. ICASSP 2025, pp. 1–5. doi: 10.1109/ICASSP49660.2025.10890029.
  7. K. Liu, Y. Luo, W. Yang, J. Xu, Z. Li, and W.-M. Chen. GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning. ICASSP 2025, pp. 1–5. doi: 10.1109/ICASSP49660.2025.10888910.
  8. M. Zhou, W. Yang, L. Ma, S. Jiang, B. Xu, and Y. Xiao. LogSI: A Benchmark for System-Incremental Log Analysis. ICASSP 2025, pp. 1–5. doi: 10.1109/ICASSP49660.2025.10890641.
  9. S. Wu, W. Yang, and S. Wu. Spatiotemporal-Aware Visual Captioning using Vision-Language Pre-Training Model. ICASSP 2025, pp. 1–5. doi: 10.1109/ICASSP49660.2025.10888725.
  10. Lingfeng Bian, Weidong Yang, Ting Xu, Zijing Tan. An incremental algorithm for repairing denial constraint violations. Information Systems. 2024/12/1.
  11. Lingfeng Bian, Weidong Yang, Jingyi Xu, Zijing Tan. Discovering Denial Constraints Based on Deep Reinforcement Learning. CIKM 2024.
  12. S. Li, Y. Cui, J. Xu, J. Zhao, F. Zhang, W. Yang, X. Zhou. Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction. CIKM 2024. 2024/10/21.
  13. S. Wu, W. Yang, S. Wu. Spatiotemporal-Aware Visual Captioning using Vision-Language Pre-Training Model. ICASSP 2025.
  14. Jingyi Xu, Yeqi Luo, Weidong Yang, et al. SIFM: A Foundation Model for Multi-granularity Arctic Sea Ice Forecasting. arXiv preprint arXiv:2410.14732.
  15. Liwen Liu, Weidong Yang, Ben Fei. GeeNet: Robust and Fast Point Cloud Completion for Ground Elevation Estimation Towards Autonomous Vehicles. Frontiers of Information Technology & Electronic Engineering. 2024/7.
  16. Jingyi Xu, Siwei Tu, Weidong Yang, et al. IceDiff: High Resolution and High-Quality Sea Ice Forecasting with Generative Diffusion Prior. arXiv preprint arXiv:2410.09111.
  17. Ben Fei, Liwen Liu, Weidong Yang, et al. Parameter Efficient Point Cloud Prompt Tuning for Unified Point Cloud Understanding. IEEE Transactions on Intelligent Vehicles. 2024/6/10.
  18. Ben Fei, Jingyi Xu, Rui Zhang, et al. 3D Gaussian Splatting as New Era: A Survey. IEEE Transactions on Visualization and Computer Graphics. 2024/5/7.
  19. Shuhao Li, Yue Cui, Libin Li, Weidong Yang, et al. ST-ABC: Spatio-Temporal Attention-Based Convolutional Network for Multi-Scale Lane-Level Traffic Prediction. ICDE 2024. 2024/5/13.
  20. Lipeng Ma, Weidong Yang, Bo Xu, et al. KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding. ICSE 2024.
  21. Zhang R, Xu J, Yang W, et al. Learning Density Regulated and Multi-View Consistent Unsigned Distance Fields. ICASSP 2024: 8366–8370.
  22. Fei B, Zhang R, Yang W, et al. Progressive Growth for Point Cloud Completion by Surface-Projection Optimization. IEEE Transactions on Intelligent Vehicles. 2024.
  23. Shuhao Li, Yue Cui, Yan Zhao, Weidong Yang, et al. ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction. CIKM 2023: 1208–1217.
  24. Z Tan, W Yang, Z Zhang. PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for Deformable Objects in Indoor Environments. ICONIP.
  25. Z Tan, W Yang, Z Zhang. DOS Dataset: A Novel Indoor Deformable Object Segmentation Dataset for Sweeping Robots. ICONIP.
  26. Mingyu Zhao, Weidong Yang, Feiping Nie. Deep Graph Reconstruction for Multi-View Clustering. Neural Networks, 168, Nov. 2023: 560–568. https://doi.org/10.1016/j.neunet.2023.10.001
  27. Mingyu Zhao, Weidong Yang, Feiping Nie. Transformer-Based Contrastive Multi-view Clustering via Ensembles. ECML-PKDD 2023: 678–694.
  28. Mingyu Zhao, Weidong Yang, Feiping Nie. MVCformer: A Transformer-Based Multi-view Clustering Method. Information Sciences, 649, Nov. 2023: 119622. https://doi.org/10.1016/j.ins.2023.119622
  29. Mingyu Zhao, Weidong Yang, Feiping Nie. Deep Multi-view Spectral Clustering via Ensemble. Pattern Recognition, 144, Dec. 2023: 109836. https://doi.org/10.1016/j.patcog.2023.109836
  30. Mingyu Zhao, Weidong Yang, Feiping Nie. Auto-weighted Orthogonal and Nonnegative Graph Reconstruction for Multi-view Clustering. Information Sciences, 632, Jun. 2023: 324–339. https://doi.org/10.1016/j.ins.2023.03.016
  31. Ben Fei, Weidong Yang, Liwen Liu, et al. Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey. arXiv:2305.04691. https://doi.org/10.48550/arXiv.2305.04691
  32. Zehan Tan, Mingyu Zhao, Yun Wang, Weidong Yang. Multivariate Time Series Retrieval with Binary Coding from Transformer. ICONIP 2022: 397–408.
  33. Jixuan Chen, Yifeng Jin, Yihan Li, et al. Effective and Efficient Lexicographical Order Dependency Discovery. IEEE TKDE, 35, Sep. 2023: 9700–9714. https://doi.org/10.1109/TKDE.2023.3248780
  34. Ben Fei, Zhaoyang Lyu, Liang Pan, et al. Generative Diffusion Prior for Unified Image Restoration and Enhancement. CVPR 2023: 9935–9946.
  35. Ben Fei, Weidong Yang, Lipeng Ma, et al. DcTr: Noise-Robust Point Cloud Completion by Dual-Channel Transformer with Cross-Attention. Pattern Recognition, 133, Jan. 2023: 109051. https://doi.org/10.1016/j.patcog.2022.109051
  36. Ben Fei, Siyuan Huang, Jiakang Yuan, et al. UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline. arXiv:2212.10390. https://doi.org/10.48550/arXiv.2212.10390
  37. Xiaohang Wang, LH Philip, Weidong Yang, Jun Su. Bayesian Robust Tensor Completion via CP Decomposition. Pattern Recognition Letters, 163, Nov. 2022: 121–128. https://doi.org/10.1016/j.patrec.2022.10.005
  38. Ben Fei, Weidong Yang, Wen-Ming Chen, et al. VQ-DcTr: Vector-Quantized Autoencoder with Dual-Channel Transformer Points Splitting for 3D Point Cloud Completion. ACM MM 2022: 4769–4778. https://doi.org/10.1145/3503161.3548181
  39. Ben Fei, Weidong Yang, Wen-Ming Chen, et al. Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis. IEEE TITS, 23, Dec. 2022: 22862–22883. https://doi.org/10.1109/TITS.2022.3195555
  40. Ben Fei, Weidong Yang, Wenming Chen, et al. HFF-Net: Hierarchical Feature Fusion Network for Point Cloud Generation with Point Transformers. ICME 2022: 1–6.

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