| 2026 | AAAI | MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems. | Peiru Yang, Jinhua Yin, Haoran Zheng, Xueying Bai, Huili Wang, Yufei Sun, Xintian Li, Songwei Pei, Yongfeng Huang, Tao Qi |
| 2026 | AAAI | ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases. | Peiru Yang, Haoran Zheng, Yi Luo, Xinyi Liu, Jinrui Wang, Huili Wang, Xintian Li, Yongfeng Huang, Tao Qi |
| 2026 | ACL | Robust Membership Inference for Large Language Models under Adversarial Generative Corruption. | Yuanhong Huang, Huili Wang, Xueying Bai, Jinrui Wang, Jiajun Liu, Ziqin Wang, Wanchun Ni, Shangguang Wang, Tao Qi |
| 2026 | ACL | Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models. | Jinrui Wang, Zhenfeng Gao, Wendan Wang, Huili Wang, Zichen Qin, Linjie Zhu, Hongke Fu, Shangguang Wang, Tao Qi |
| 2026 | ACL | Measuring Human Contribution in AI-Assisted Content Generation. | Yueqi Xie, Tao Qi, Jingwei Yi, Xiyuan Yang, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu |
| 2026 | ACL | Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation. | Peiru Yang, Haoran Zheng, Tong Ju, Shiting Wang, Wanchun Ni, Jiajun Liu, Shangguang Wang, Yongfeng Huang, Tao Qi |
| 2025 | COLING | GLoCIM: Global-view Long Chain Interest Modeling for news recommendation. | Zhen Yang, Wenhui Wang, Tao Qi, Peng Zhang, Tianyun Zhang, Ru Zhang, Jianyi Liu, Yongfeng Huang |
| 2025 | ICCV | From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning. | Hang Du, Jiayang Zhang, Guoshun Nan, Wendi Deng, Zhenyan Chen, Chenyang Zhang, Xiao Wang, Shan Huang, Yuqi Pan, Tao Qi, Sicong Leng |
| 2024 | AAAI | Towards the Robustness of Differentially Private Federated Learning. | Tao Qi, Huili Wang, Yongfeng Huang |
| 2024 | GLOBECOM | Proactive video caching based on federated learning and implicit feedback in mobile edge computing. | Zhen Qian, Guanghui Li, Tao Qi, Chenglong Dai, Jia Hu |
| 2023 | IJCAI | FedSampling: A Better Sampling Strategy for Federated Learning. | Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie |
| 2022 | ACL | NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | ACL | Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | KDD | FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie |
| 2022 | WWW | FeedRec: News Feed Recommendation with Various User Feedbacks. | Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie |
| 2022 | SIGIR | News Recommendation with Candidate-aware User Modeling. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | SIGIR | FUM: Fine-grained and Fast User Modeling for News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2022 | SIGIR | ProFairRec: Provider Fairness-aware News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2022 | SIGIR | UserBERT: Pre-training User Model with Contrastive Self-supervision. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2022 | SIGIR | Is News Recommendation a Sequential Recommendation Task? | Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang |
| 2022 | SIGIR | MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu |
| 2021 | ACL | PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2021 | ACL | HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang |
| 2021 | ACL | Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2021 | EMNLP | Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2021 | EMNLP | NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. | Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu |
| 2021 | SIGIR | Personalized News Recommendation with Knowledge-aware Interactive Matching. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2021 | SIGIR | Empowering News Recommendation with Pre-trained Language Models. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | ACL | MIND: A Large-scale Dataset for News Recommendation. | Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou |
| 2020 | ACL | Attentive Pooling with Learnable Norms for Text Representation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang |
| 2020 | EMNLP | Privacy-Preserving News Recommendation Model Learning. | Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2020 | EMNLP | PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. | Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie |
| 2020 | IJCAI | User Modeling with Click Preference and Reading Satisfaction for News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | IJCNLP | Named Entity Recognition in Multi-level Contexts. | Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang |
| 2020 | IJCNLP | SentiRec: Sentiment Diversity-aware Neural News Recommendation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2020 | WWW | Graph Enhanced Representation Learning for News Recommendation. | Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2019 | CIKM | Neural Gender Prediction in Microblogging with Emotion-aware User Representation. | Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Neural News Recommendation with Heterogeneous User Behavior. | Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Neural News Recommendation with Multi-Head Self-Attention. | Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie |
| 2019 | EMNLP | Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. | Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie |
| 2015 | CCGRID | On-Demand Self-Adaptivity of Service Availability for Cloud Multi-tier Applications. | Jin Yang, Jianmin Pang, Ning Qi, Tao Qi |