| 2026 | SIGIR | MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation. | Yuzhuo Dang, Xin Zhang, Zhiqiang Pan, Yuxiao Duan, Wanyu Chen, Fei Cai, Honghui Chen |
| 2025 | APWEB | HELM: Hybrid Spatial Index of Moving Objects at Large Scales Tuned with Multi-Agent Reinforcement Learning. | Na Guo, Wenli Sun, Fei Cai, Xing Yiming, Xiufeng Xia |
| 2025 | CIKM | Tide: A Time-Wise Causal Debiasing Framework for Generative Dynamic Link Prediction. | Xin Zhang, Jianming Zheng, Fei Cai, Zhiqiang Pan, Wanyu Chen, Chonghao Chen, Honghui Chen |
| 2025 | CIKM | Parse-LLM: A Prior-Free LLM Parser for Unknown System Logs. | Chengyu Song, Lin Yang, Jianming Zheng, Jinzhi Liao, Feng Yang, Linru Ma, Fei Cai |
| 2025 | IDEAL | Event Causality Identification via Prompt Learning with Knowledge and Memory. | Fei Cai, Wanyu Chen, Shen Wang, Guowang Li, Weijie Chen, Junxian Liu |
| 2025 | WWW | On the Cross-Graph Transferability of Dynamic Link Prediction. | Zhiqiang Pan, Chen Gao, Fei Cai, Wanyu Chen, Xin Zhang, Honghui Chen, Yong Li |
| 2025 | WWW | Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs. | Xin Zhang, Fei Cai, Jianming Zheng, Zhiqiang Pan, Wanyu Chen, Honghui Chen, Chonghao Chen |
| 2024 | ADMA | WALK: A Workload-Aware Learned Kd-Tree. | Na Guo, Fei Cai, Wenli Sun, Xiufeng Xia |
| 2024 | WSDM | Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. | Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin |
| 2023 | CIKM | MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection. | Siyuan Wang, Jianming Zheng, Wanyu Chen, Fei Cai, Xueshan Luo |
| 2023 | DASC | A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation. | Dengfeng Liu, Yitong Wang, Fei Cai |
| 2023 | SMC | Holistic ARDS Prognosis Evaluation Framework Utilizing Data Governance and Ensemble Feature Selection. | Xiaodong Han, Fei Cai, Guanghui Xiu, Dapeng Tao |
| 2022 | COLING | DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction. | Mengru Wang, Jianming Zheng, Fei Cai, Taihua Shao, Honghui Chen |
| 2022 | SIGIR | PTAU: Prompt Tuning for Attributing Unanswerable Questions. | Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang |
| 2021 | CIKM | Metric Sentiment Learning for Label Representation. | Chengyu Song, Fei Cai, Jianming Zheng, Wanyu Chen, Zhiqiang Pan |
| 2021 | WWW | Taxonomy-aware Learning for Few-Shot Event Detection. | Jianming Zheng, Fei Cai, Wanyu Chen, Wengqiang Lei, Honghui Chen |
| 2020 | CIKM | Improving End-to-End Sequential Recommendations with Intent-aware Diversification. | Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke |
| 2020 | CIKM | Star Graph Neural Networks for Session-based Recommendation. | Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke |
| 2020 | COLING | Heterogeneous Graph Neural Networks to Predict What Happen Next. | Jianming Zheng, Fei Cai, Yanxiang Ling, Honghui Chen |
| 2020 | WWW | Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. | Yanxiang Ling, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2020 | SIGIR | An Intent-guided Collaborative Machine for Session-based Recommendation. | Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke |
| 2020 | SIGIR | Rethinking Item Importance in Session-based Recommendation. | Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke |
| 2020 | SIGIR | Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation. | Jianming Zheng, Fei Cai, Honghui Chen |
| 2019 | CIKM | A Dynamic Co-attention Network for Session-based Recommendation. | Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2019 | SIGIR | Length-adaptive Neural Network for Answer Selection. | Taihua Shao, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2018 | CIKM | Attentive Encoder-based Extractive Text Summarization. | Chong Feng, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2018 | SIGIR | Attention-based Hierarchical Neural Query Suggestion. | Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2017 | SIGIR | Personalized Query Suggestion Diversification. | Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2016 | SIGIR | Selectively Personalizing Query Auto-Completion. | Fei Cai, Maarten de Rijke |
| 2014 | CIKM | Time-sensitive Personalized Query Auto-Completion. | Fei Cai, Shangsong Liang, Maarten de Rijke |
| 2014 | FUSION | Track-before-detect filter for sensors with point spread function using thresholded measurements. | Fei Cai, Hongqi Fan, Qiang Fu |
| 2014 | SIGIR | Personalized document re-ranking based on Bayesian probabilistic matrix factorization. | Fei Cai, Shangsong Liang, Maarten de Rijke |
| 2013 | HPCC | A New DHT Supporting Multi-attribute Queries for Grid Information Services. | Yawei Zhao, Fei Cai, Junjie Xie, Lailong Luo, Xiaoqiang Teng, Honghui Chen, Weijie Kong |
| 2004 | CCGRID | Parallel program performance evaluation and their behavior analysis on an OpenMP cluster. | Fei Cai, Shaogang Wu, Longbing Zhang, Zhiming Tang |