Feng Shanshan

team--feng-shanshan

Research Area
  • Recommender System
  • Spatial-temporal Data Mining
  • Graph Learning

Publications

1. Huiwei Lin, Shanshan Feng, Baoquan Zhang, Hongliang Qiao, Xutao Li, Yunming Ye UER: A Heuristic Bias Addressing Approach for Online Continual Learning. ACM International Conference on Multimedia. (MM-2023)

2. Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen. TRCDNet: A Transformer Network for Video Cloud Detection. IEEE Transactions on Geoscience and Remote Sensing (TGRS-2023)

3. Ziyang Wang, Wei Wei, Shanshan Feng, Xian-Ling Mao, Minghui Qiu, Dangyang Chen, Rui Fang. Exploiting Group-level Behavior Pattern for Session-based Recommendation. IEEE Transactions on Knowledge and Data Engineering. (TKDE-2023)

4. Jing Li, Shanshan Feng, Billy Chiu. Few-Shot Relation Extraction With Dual Graph Neural Network Interaction. IEEE Transactions on Neural Networks and Learning Systems (TNNLS-2023)

5. Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie. MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation. IEEE Transactions on Knowledge and Data Engineering. (TKDE-2023)

6. Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng. Prototype Completion for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. (TPAMI-2023)

7. Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye. PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning. (CVPR-2023)

8. Lanting Fang, Kaiyue Feng, Jie Gui, Shanshan Feng, Aiqun Hu, Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graphs, Proceedings of the VLDB. (VLDB-2023)

9. Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, and Ling Shao. ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Transactions on Knowledge and Data Engineering. (TKDE-2022)

10. Shanshan Feng, Kaiqi Zhao, Lanting Fang, Kaiyu Feng, Wei Wei, Xutao Li, and Ling Shao. H-Diffu: Hyperbolic Representations for Information Diffusion Prediction. IEEE Transactions on Knowledge and Data Engineering. (TKDE-2022) 

Research Services

  • Conference Program Committee Member for SIGKDD, SIGIR, ICDE, IJCAI, AAAI, MM, CIKM etc.
  • Journal Reviewer for TKDE, TCSVT, IPM, TBD, KBS etc.