Welcome to Victor, Feng Shanshan's homepage.

Biography

Dr. Shanshan Feng is currently a Senior Scientist II at the Centre for Frontier AI Research, Institute of High Performance Computing, A*STAR, Singapore. He is working with Prof. Yew Soon Ong. He received the Ph.D. degree from Nanyang Technological University (Data management and Analytics Lab, Supervisors: Prof. Gao Cong and Prof. Yeow Meng Chee), Singapore in 2017, and obtained his B.E. degree from the University of Science and Technology of China in 2011. His current research interests include generative AI, big data analytics, graph learning, and recommender systems. He has published more than 50 papers in prestigious journals and conferences including IEEE TPAMI, IEEE TKDE, IEEE TNNLS, IEEE TGRS, SIGKDD, SIGIR, ICDE, VLDB, etc. He served as a PC member of SIGIR, SIGKDD, ICDE, ACM MM, WWW, AAAI, IJCAI, ACL, ICDM, CIKM, SDM, and DASFAA etc.

Research Interests

• Generative AI, Retrieval augmented generation
• Large-scale graph learning, Social influence analysis
• Spatial-temporal data mining, Time series forecasting, Abnormal detection
• Information retrieval, Recommender systems
• Financial big data analytics, Financial risk managements

Miscellaneous

• Financial Risk Management (Certified FRM, Global Association of Risk Professionals)
• Completed all levels of the CFA program (Chartered Financial Analyst Institute)
• Competent Communicator (Toastmasters International)
• Black-belt (International Taekwon-Do Federation)

Selected Publications

2024

• Xiping Li, Jianghong Ma* , Kangzhe Liu, Shanshan Feng* , Haijun Zhang, Yutong Wang. Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework. The ACM Web Conference. (WWW-2024, CORE-A*, CCF-A, *Corresponding Author)
• Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang. KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. (AAAI-2024, CORE-A*, CCF-A)
• Yueyue Yao, Jianghong Ma, Shanshan Feng, Yunming Ye. SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection. (Neural Networks-2024, IF=9.657, JCR-Q1)

2023

• Huiwei Lin, Shanshan Feng*, Baoquan Zhang, Hongliang Qiao, Xutao Li, Yunming Ye UER: A Heuristic Bias Addressing Approach for Online Continual Learning. The ACM International Conference on Multimedia. (MM-2023, CORE-A*, CCF-A, *Corresponding Author)
• Hongliang Qiao, Shanshan Feng+, Xutao Li, Huiwei Lin, Han Hu, Wei Wei and Yunming Ye. RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction. The Conference on Information and Knowledge Management. (CIKM-2023, CORE-A, CCF-B, Co-first Author)
• 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, IF=8.125, JCR-Q1)
• 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, IF=14.255, JCR-Q1, *Corresponding Author)
• 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, IF=9.235, CCF-A, *Corresponding Author)
• Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng. Prototype Completion for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. (TPAMI-2023, IF=24.314, CCF-A)
• Huiwei Lin, Baoquan Zhang, Shanshan Feng*, Xutao Li, Yunming Ye. PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning. (CVPR-2023, CORE-A*, CCF-A, corresponding author)
• 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, IF=9.235, CCF-A)
• Yuxi Sun, Yunming Ye, Jian Kang, Ruben Fernandez-Beltran, Shanshan Feng, Xutao Li, Chuyao Luo, Puzhao Zhang, Antonio Plaza. Cross-view Object Geo-localization in a Local Region with Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing. (TGRS-2023, IF=8.125, JCR-Q1)
• Lanting Fang, Kaiyue Feng, Jie Gui, Shanshan Feng, Aiqun Hu, Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graphs, Proceedings of the International Conference on Very Large Data Bases. (VLDB-2023, CORE-A*, CCF-A)
• Kenghong Lin, Xutao Li, Yunming Ye, Shanshan Feng, Baoquan Zhang, Guangning Xu, Ziye Wang. Spherical Neural Operator Network for Global Weather Prediction. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT-2023, IF=5.859, JCR-Q1)
• Kuai Dai, Xutao Li, Yunming Ye, Yaowei Wang, Shanshan Feng, Di Xian. Exploring and Exploiting High-Order Spatial-Temporal Dynamics for Long-Term Frame Prediction. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT-2023, IF=5.859, JCR-Q1)
• Kuai Dai, Xutao Li, Chuyao Luo, Wuqiao Chen, Yunming Ye, Shanshan Feng. UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network. (Neural Networks, 2023, IF=9.657, JCR-Q1)
• Xu Huang, Xutao Li, Yunming Ye, Shanshan Feng, Chuyao Luo, Bowen Zhang, On Understanding of Spatiotemporal Prediction Model, IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT-2023, IF=5.859, JCR-Q1)
• Xu Huang, Shanshan Feng, Yunming Ye, Xutao Li, Bowen Zhang, Shidong Chen. NPDN-3D: A 3D Neural Partial Differential Network for Spatiotemporal Prediction. (Pattern Recognition, 2023, JCR-Q1)
• Xu Huang, Bowen Zhang, Shanshan Feng, Yunming Ye, Xutao Li. Interpretable local flow attention for multi-step traffic flow prediction. (Neural Networks, 2023, IF=9.657, JCR-Q1)
• Baoquan Zhang, Chuyao Luo, Hao Jiang, Shanshan Feng, Xutao Li, Bowen Zhang, Yunming Ye. Adaptive Transfer of Graph Neural Networks for Few-Shot Molecular Property Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (TCBB-2023, IF=3.702, JCR-Q1)
• Rui Ye, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Yan Zhu, Yao Sun, Yaowei Wang. WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions. (Neural Networks, 2023, IF=9.657, JCR-Q1)

2022

• 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, IF=9.235, CCF-A)
• Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao. ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity, IEEE Transactions on Knowledge and Data Engineering. (TKDE-2022, IF=9.235, CCF-A)
• Yuxi Sun, Shanshan Feng, Xutao Li, Yunming Ye, Jian Kang, Xu Huang. Visual Grounding in Remote Sensing Images. The 30th ACM International Conference on Multimedia. (MM-2022, CORE-A*, CCF-A)
• Chen Luo, Shanshan Feng, Xiaofei Yang, Yunming Ye, Xutao Li, Baoquan Zhang, Zhihao Chen, Yingling Quan. LWCDnet: A Lightweight Network for Efficient Cloud Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, (TGRS-2022, IF=8.125, JCR-Q1)
• Huiwei Lin, Shanshan Feng, Xutao Li, Wentao Li, Yunming Ye. Anchor Assisted Experience Replay for Online Class-Incremental Learning. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT-2022, IF=5.859, JCR-Q1)
• Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye, Chen Luo, Hao Jiang. SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. (TGRS-2022, IF=8.125, JCR-Q1)
• Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye. MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. The Thirty-Sixth AAAI Conference on Artificial Intelligence. (AAAI-2022, CORE-A*, CCF-A)
• Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye. Hyperbolic Knowledge Transfer with ClassHierarchy for Few-Shot Learning. (IJCAI-2022, CORE-A*, CCF-A)
• Shibo Chen, Shanshan Feng, Zhenwei Guo, Zaiyue Yang. Trilevel Optimization Model for Competitive Pricing of Electric Vehicle Charging Station Considering Distribution Locational Marginal Price. IEEE Transactions on Smart Grid. (TSG-2022, IF=10.275, JCR-Q1)
• Rui Ye, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo. SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction. (Information Sciences, IF=8.233, 2022, JCR-Q1)
• Chen Luo, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Zhihao Chen, YingLing Quan. ECDNet: A bilateral lightweight cloud detection network for remote sensing images. (Pattern Recognition, IF=8.518, 2022, JCR-Q1)
• Kuai Dai, Xutao Li, Yunming Ye, Shanshan Feng, Danyu Qin, Rui Ye. MSTCGAN: Multi-Scale Time Conditional Generative Adversarial Network for Long-term Satellite Image Sequence Prediction. IEEE Transactions on Geoscience and Remote Sensing. (TGRS-2022, IF=8.125, JCR-Q1)
• Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Chen Luo, Rui Ye. MetaDT: Meta Decision Tree with Class Hierarchy for Interpretable Few-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT-2022, IF=5.859, JCR-Q1)
• Ziming Huang, Zhuoxuan Jiang, Ke Wang, Juntao Li, Shanshan Feng, Xianling Mao. Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing. The 29th International Conference on Computational Linguistics. (COLING-2022, CCF-B)
• Guangning Xu, Xutao Li, Shanshan Feng, Yunming Ye, Zhihua Tu, Kenghong Lin, Zhichao Huang. LS-NTP: Unifying long-and short-range spatial correlations for Near-surface Temperature Prediction. (Neural Networks, IF=9.657, 2022, JCR-Q1)
• Zheng Zhang, Chuyao Luo, Shanshan Feng, Rui Ye, Yunming Ye, Xutao Li. RAP-Net: Region Attention Predictive Network for Precipitation Nowcasting.( Geoscientific Model Development, IF=6.892, 2022, JCR-Q1)
• Chuyao Luo, Xutao Li, Yunming Ye, Shanshan Feng, Michael K Ng. Experimental Study on Generative Adversarial Network for Precipitation Nowcasting. IEEE Transactions on Geoscience and Remote Sensing. (TGRS-2022, IF=8.125, JCR-Q1)

2021

• Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei wei, Fan Li, Shuo Shang. Node2LV: Squared Lorentzian Representations for Node Proximity. In 2021 IEEE 37th International Conference on Data Engineering. (ICDE-2021, CORE-A*, CCF-A)
• Sanshi Yu, Zhuoxuan Jiang* , Dong-Dong Chen, Shanshan Feng*, Dongsheng Li, Qi Liu, Jinfeng Yi. Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 3886-3894. 2021. (SIGKDD-2021, CORE-A*, CCF-A, *Corresponding Author)
• Yuxi Sun, Shanshan Feng, Yunming Ye, Xutao Li, Jian Kang, Zhichao Huang, Chuyao Luo. Multi-sensor Fusion and Explicit Semantic Preserving-based Deep Hashing for Cross-Modal Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing (TGRS-2021, IF=8.125, JCR-Q1).
• Yuxi Sun, Yunming Ye, Xutao Li, Shanshan Feng, Bowen Zhang, Jian Kang, Kuai Dai. Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval. Knowledge-Based Systems,2021. (KBS-2021, IF=8.139, JCR-Q1)
• Fan Li, Chun-Hsien Chen, Ching-Hung Lee, Shanshan Feng. Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controllers human errors. Knowledge-Based Systems. (KBS-2021, IF=8.139, JCR-Q1)
• Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng. Target-guided Emotion-aware Chat Machine. ACM Transactions on Information Systems. (TOIS-2021, IF=4.657, CCF-A)
• Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie. Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR-2021, CORE-A*, CCF-A)
• Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis. Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. (IJCAI-2021, CORE-A*, CCF-A)

2020

• Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li. HME: A hyperbolic metric embedding approach for next-poi recommendation.In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR-2020, CORE-A*, CCF-A)
• Jing Li, Billy Chiu, Shanshan Feng*, Hao Wang, Few-Shot Named Entity Recognition via Meta-Learning. IEEE Transactions on Knowledge and Data Engineering. (TKDE-2020, IF=9.235, CCF-A, *Corresponding Author)

2019 and early

• Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee. Inf2vec: LatentRepresentation Model for Social Influence Embedding. In 2018 IEEE 34th International Conference on Data Engineering. (ICDE-2018, CORE-A*, CCF-A)
• Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee. POI2Vec: Geographical Latent Representation for Predicting Future Visitors. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. (AAAI-2017, CORE-A*, CCF-A)
• Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li. A novel cascade model for learning latent similarity from heterogeneous sequential data of MOOC. In Proceedings of the 2017 conference on empirical methods in natural language processing. (EMNLP-2017, CORE-A*, CCF-B)
• Han Hu, Yonggang Wen, Shanshan Feng. Budget-efficient viral video distribution over online social networks: Mining topic-aware influential users. IEEE Transactions on Circuits and Systems for Video Technology. (TCSVT-2016, IF=5.859, CCF-B, JCR-Q1)
• Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan. Personalized Ranking Metric Embedding for Next New POI Recommendation. In proceedings of the 24th International Joint Conference on Artificial Intelligence. (IJCAI-2015, CORE-A*, CCF-A)
• Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang. Influence Maximization with Novelty Decay in Social Networks. In Proceedings of the AAAI Conference on Artificial Intelligence. (AAAI-2014, CORE-A*, CCF-A)