Feng Shanshan

- 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)
11. Chenhao Wang, Lisi Chen, Shuo Shang, Shanshan Feng. Flexible Contact Correlation Learning on Spatio-Temporal Trajectories. 29th International Conference on Database Systems for Advanced Applications. (DASFAA 2024)
12. Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, and Xutao Li. Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. (ECML PKDD 2024)
13. Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang. KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. Thirty-Eighth AAAI Conference on Artificial Intelligence. (AAAI 2024)
14. Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew-Soon Ong. ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. (KDD 2024)
15. Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan LI, Yew-Soon Ong. FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. (KDD 2024)
Research Services
- Conference Program Committee Member for SIGKDD, SIGIR, ICDE, IJCAI, AAAI, MM, CIKM etc.
- Journal Reviewer for TKDE, TCSVT, IPM, TBD, KBS etc.
A*STAR celebrates International Women's Day

From groundbreaking discoveries to cutting-edge research, our researchers are empowering the next generation of female science, technology, engineering and mathematics (STEM) leaders.
Get inspired by our #WomeninSTEM