| 2026 | AAAI | Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub. | Ling Ding, Tianbai Lyu, Zhiliang Bi, Hao Wang, Shanshan Feng, Wei Yu |
| 2026 | ACL | AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters. | Hao Luo, Xiao Yan, Xinyan Li, Qiming Zeng, Yuhao Lin, Shanshan Feng, Hao Wang, Jiawei Jiang |
| 2026 | ICDE | Efficient Model-Agnostic Continual Learning for Next POI Recommendation. | Chenhao Wang, Shanshan Feng, Lisi Chen, Fan Li, Shuo Shang |
| 2026 | KDD | From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting. | Xinyu Zhang, Shanshan Feng, Xutao Li, Kenghong Lin, Fan Li, Pengfei Jia |
| 2026 | KDD | Think2Go: Generative Next POI Recommendation with LLM Reasoning. | Zhuang Zhuang, Shanshan Feng, Hangwei Qian, Mingqi Yang, Heng Qi, Yanming Shen, Baocai Yin |
| 2026 | WWW | Text-attributed Graph Condensation via Text Selection and Attribute Matching. | Haowei Han, Yuxiang Wang, Guojia Wan, Hao Wang, Shanshan Feng, Hao Huang, Jiawei Jiang, Xiao Yan |
| 2025 | AAAI | AsyncDSB: Schedule-Asynchronous Diffusion Schrdinger Bridge for Image Inpainting. | Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Joeq, Kola Ye |
| 2025 | CIKM | MGSTDN: Multi-Granularity Spatial-Temporal Diffusion Network for Next POI Recommendation. | Zhuang Zhuang, Haitao Yuan, Shanshan Feng, Heng Qi, Yanming Shen, Baocai Yin |
| 2025 | HCI | How Do We Team Up? Human-Machine Co-driving Style Assessment Through Visual Dynamic Analysis and Vision-Language Model. | Zhuorui Zhang, Donglin Li, Yiteng Sun, Ching-Hung Lee, Shanshan Feng, Fan Li |
| 2025 | ICML | A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver. | Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong |
| 2025 | IJCAI | Multi-Hierarchical Fine-Grained Feature Mapping Driven by Feature Contributions for Molecular Odor Prediction. | Hongxin Xie, Jiande Sun, Fanfu Xue, Zifei Han, Shanshan Feng, Qi Chen |
| 2025 | IJCNN | Cognitive Support in Aviation Operations Utilizing Multimodal Large Language Models. | Ruobing Huang, Shanshan Feng, Fan Li, Caishun Chen, Yew Soon Ong |
| 2025 | WWW | Hyperbolic Multi-semantic Transition for Next POI Recommendation. | Hongliang Qiao, Shanshan Feng, Min Zhou, Wentao Li, Fan Li |
| 2024 | AAAI | KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. | Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang |
| 2024 | DASFAA | DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences. | Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang |
| 2024 | DASFAA | Flexible Contact Correlation Learning on Spatio-Temporal Trajectories. | Chenhao Wang, Lisi Chen, Shanshan Feng, Shuo Shang |
| 2024 | DASFAA | Simulating Individual Infection Risk over Big Trajectory Data. | Haiyan Wang, Shanshan Feng, Lisi Chen, Yang Liu, Shuo Shang |
| 2024 | IJCAI | LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought. | Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li |
| 2024 | KDD | ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. | Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong |
| 2024 | KDD | FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. | Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong |
| 2024 | WWW | Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework. | Xiping Li, Jianghong Ma, Kangzhe Liu, Shanshan Feng, Haijun Zhang, Yutong Wang |
| 2023 | CIKM | RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction. | Hongliang Qiao, Shanshan Feng, Xutao Li, Huiwei Lin, Han Hu, Wei Wei, Yunming Ye |
| 2023 | CVPR | PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning. | Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye |
| 2023 | ICDE | Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract). | Jing Li, Billy Chiu, Shanshan Feng, Hao Wang |
| 2023 | ICDM | User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems. | Chengshan Yan, Shanshan Feng, Jian Cao, Yan Yao, Huaxiang Zhang |
| 2023 | ICDM | BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fuel Consumption. | Yan Yao, Shanshan Feng, Hanwen Hu, Shenglin Xu, Shiyou Qian, Bin Qu, Diankun Zhai |
| 2022 | AAAI | MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. | Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye |
| 2022 | COLING | Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing. | Ziming Huang, Zhuoxuan Jiang, Ke Wang, Juntao Li, Shanshan Feng, Xian-Ling Mao |
| 2022 | IJCAI | Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning. | Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye |
| 2022 | IJCNLP | Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning. | Zhuoxuan Jiang, Lingfeng Qiao, Di Yin, Shanshan Feng, Bo Ren |
| 2021 | CSCWD | Prospective on Eye-Tracking-based Studies in Immersive Virtual Reality. | Fan Li, Ching-Hung Lee, Shanshan Feng, Amy J. C. Trappey, Fazal Gilani |
| 2021 | ICDE | Node2LV: Squared Lorentzian Representations for Node Proximity. | Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Fan Li, Shuo Shang |
| 2021 | IGARSS | Multi-Angular Sar Scattering Anisotropy Analysis Based on Low-Rank Matrix Decomposition. | Xiaoyang Yue, Yun Lin, Fei Teng, Shanshan Feng, Wen Hong |
| 2021 | IGARSS | 3-D Target Reconstruction using C-Band Circular SAR Imagery based on Background Constraints. | Hanqing Zhang, Yun Lin, Shanshan Feng, Fei Teng, Wen Hong |
| 2021 | IJCAI | Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. | Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis |
| 2021 | IGARSS | A Man-Made Target Detection Method Based on Multi-Angular Phase Characteristic. | Fei Teng, Yun Lin, Shanshan Feng, Wen Hong |
| 2021 | KDD | Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. | Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi |
| 2021 | SMC | Eye Tracking Analytics for Mental States Assessment - A Review. | Fan Li, Gangyan Xu, Shanshan Feng |
| 2021 | SIGIR | Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. | Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie |
| 2020 | IGARSS | Multi-Angular SAR Statistical Properties Analysis and Man-Made Target Detection. | Fei Teng, Yun Lin, Yanping Wang, Wenjie Shen, Shanshan Feng, Wen Hong |
| 2020 | SIGIR | HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation. | Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li |
| 2019 | IGARSS | An Anisotropic Scattering Analysis Method Based on Likelihood Ratio Using Circular Sar Data. | Fei Teng, Wen Hong, Yun Lin, Bing Han, Yanping Wang, Wenjie Shen, Shanshan Feng |
| 2019 | IGARSS | Dem Extraction Using C-Band Circular Sar Data. | Shanshan Feng, Yun Lin, Wen Hong, Bing Han, Yanping Wang, Yanhui Yang, Wenjie Shen, Fei Teng |
| 2018 | ICDE | Inf2vec: Latent Representation Model for Social Influence Embedding. | Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee |
| 2017 | AAAI | POI2Vec: Geographical Latent Representation for Predicting Future Visitors. | Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee |
| 2017 | EMNLP | A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC. | Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li |
| 2017 | ICVS | An Image Mosaic Method Based on Deviation Splitting and Transferring for Vehicle Panoramic System. | Shanshan Feng, Ting Wang, Haibo Huang, Liguo Chen |
| 2017 | ICVS | A Method for Improving Target Tracking Accuracy of Vehicle Radar. | Yue Guan, Shanshan Feng, Haibo Huang, Liguo Chen |
| 2017 | PAKDD | Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data. | Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li |
| 2016 | ICWS | Group Recommendations Based on Comprehensive Latent Relationship Discovery. | Shanshan Feng, Jian Cao, Jie Wang, Jing He |
| 2015 | IJCAI | Personalized Ranking Metric Embedding for Next New POI Recommendation. | Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan |
| 2015 | KSEM | A Model for Discovering Unpopular Research Interests. | Shanshan Feng, Jian Cao, Yuwen Chen, Jing Qi |
| 2014 | AAAI | Influence Maximization with Novelty Decay in Social Networks. | Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang |