Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling. - Mengying Zhu; Xiaolin Zheng; Yan Wang 002; Yuyuan Li 001; Qianqiao Liang (CoRR, 2019)

Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation. - Yuyuan Li 001; Xiaolin Zheng; Chaochao Chen 001; Junlin Liu (CoRR, 2022)

Exponential Gradient with Momentum for Online Portfolio Selection. - Yuyuan Li 001; Xiaolin Zheng; Chaochao Chen 001; Jiawei Wang 011; Shuai Xu (Expert Syst. Appl., 2022)

VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval. - Siteng Huang; Biao Gong; Yulin Pan; Jianwen Jiang; Yiliang Lv; Yuyuan Li 001; Donglin Wang (CVPR, 2023)

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Weiming Liu 005; Jun Wang 020; Wenjie Cheng; Yuyuan Li 001 (ACM Multimedia, 2023)

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li 001; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. - Yuyuan Li 001; Chaochao Chen 001; Yizhao Zhang; Weiming Liu 005; Lingjuan Lyu; Xiaolin Zheng; Dan Meng 001; Jun Wang 020 (NeurIPS, 2023)

Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. - Yuyuan Li 001; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020 (CoRR, 2023)

Federated Unlearning via Active Forgetting. - Yuyuan Li 001; Chaochao Chen 001; Xiaolin Zheng; Jiaming Zhang 009 (CoRR, 2023)

REFER: Randomized Online Factor Selection Framework for portfolio Management. - Yuyuan Li 001; Chaochao Chen 001; Xiaolin Zheng; Yan Wang 002; Biao Gong (Expert Syst. Appl., 2023)

Selective and collaborative influence function for efficient recommendation unlearning. - Yuyuan Li 001; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020; Linxun Chen (Expert Syst. Appl., 2023)

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Meng Li; Weiming Liu 005; Binhui Yao; Yuyuan Li 001; Jianwei Yin (AAAI, 2024)

Check, Locate, Rectify: A Training-Free Layout Calibration System for Text- to- Image Generation. - Biao Gong; Siteng Huang; Yutong Feng; Shiwei Zhang 001; Yuyuan Li 001; Yu Liu 063 (CVPR, 2024)

Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models. - Xiaohua Feng 002; Chaochao Chen 001; Yuyuan Li 001; Zibin Lin (EMNLP, 2024)

One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment. - Chaochao Chen 001; Jiaming Zhang 009; Yuyuan Li 001; Zhongxuan Han (ICML, 2024)

CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence. - Chaochao Chen 001; Jiaming Zhang 009; Yizhao Zhang; Li Zhang; Lingjuan Lyu; Yuyuan Li 001; Biao Gong; Chenggang Yan 001 (NeurIPS, 2024)

UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training. - Biao Gong; Shuai Tan; Yutong Feng; Xiaoying Xie; Yuyuan Li 001; Chaochao Chen 001; Kecheng Zheng; Yujun Shen; Deli Zhao (NeurIPS, 2024)

Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Li Zhang; Yuyuan Li 001 (SIGIR, 2024)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li 001; Dan Meng 001; Jun Wang 020; Xiaoli Zheng; Jianwei Yin (CoRR, 2024)

Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization. - Xiaohua Feng 002; Chaochao Chen 001; Yuyuan Li 001; Li Zhang (CoRR, 2024)

WassFFed: Wasserstein Fair Federated Learning. - Zhongxuan Han; Li Zhang; Chaochao Chen 001; Xiaolin Zheng; Fei Zheng; Yuyuan Li 001; Jianwei Yin (CoRR, 2024)

CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models. - Naen Xu; Changjiang Li; Tianyu Du; Minxi Li; Wenjie Luo; Jiacheng Liang; Yuyuan Li 001; Xuhong Zhang 002; Meng Han; Jianwei Yin; Ting Wang 006 (CoRR, 2024)

Integration of large language models and federated learning. - Chaochao Chen 001; Xiaohua Feng 002; Yuyuan Li 001; Lingjuan Lyu; Jun Zhou 011; Xiaolin Zheng; Jianwei Yin (Patterns, 2024)

Making recommender systems forget: Learning and unlearning for erasable recommendation. - Yuyuan Li 001; Chaochao Chen 001; Xiaolin Zheng; Junlin Liu; Jun Wang 020 (Knowl. Based Syst., 2024)

MotionStone: Decoupled Motion Intensity Modulation with Diffusion Transformer for Image-to-Video Generation. - Shuwei Shi; Biao Gong; Xi Chen; Dandan Zheng; Shuai Tan; Zizheng Yang; Yuyuan Li 001; Jingwen He; Kecheng Zheng; Jingdong Chen; Ming Yang 007; Yinqiang Zheng (CVPR, 2025)

Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization. - Xiaohua Feng 002; Yuyuan Li 001; Chaochao Chen 001; Li Zhang; Longfei Li; Jun Zhou 011; Xiaolin Zheng (ICLR, 2025)

LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems. - Fengyuan Yu; Yuyuan Li 001; Xiaohua Feng 002; Junjie Fang; Tao Wang; Chaochao Chen 001 (ACM Multimedia, 2025)

Plug and Play: Enabling Pluggable Attribute Unlearning in Recommender Systems. - Xiaohua Feng 002; Yuyuan Li 001; Fengyuan Yu; Li Zhang; Chaochao Chen 001; Xiaolin Zheng (WWW, 2025)

Class-wise federated unlearning: Harnessing active forgetting with teacher-student memory generation. - Yuyuan Li 001; Jiaming Zhang 009; Yixiu Liu; Chaochao Chen 001 (Knowl. Based Syst., 2025)

Towards Fairness Exploration and Optimization for Digital Service Networks. - Zhongxuan Han; Li Zhang; Chaochao Chen 001; Xiaolin Zheng; Yuyuan Li 001; Shuiguang Deng; Guanjie Cheng; Schahram Dustdar (IEEE Trans. Serv. Comput., 2025)

Multi-Objective Unlearning in Recommender Systems via Preference Guided Pareto Exploration. - Yuyuan Li 001; Yizhao Zhang; Weiming Liu 005; Xiaohua Feng 002; Zhongxuan Han; Chaochao Chen 001; Chenggang Yan 001 (IEEE Trans. Serv. Comput., 2025)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li 001; Jun Wang 020; Lianyong Qi; Xiaolong Xu 001; Xiaolin Zheng; Jianwei Yin (ACM Trans. Inf. Syst., 2025)

Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li 001; Junjie Fang; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han (CoRR, 2025)

Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Yixiu Liu; Zehui He; Yuyuan Li 001; Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2025)

A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty. - Xiaohua Feng 002; Yuyuan Li 001; Chengye Wang; Junlin Liu; Li Zhang; Chaochao Chen 001 (CoRR, 2025)

Bridging the Gap Between Preference Alignment and Machine Unlearning. - Xiaohua Feng 002; Yuyuan Li 001; Huwei Ji; Jiaming Zhang 001; Li Zhang; Tianyu Du; Chaochao Chen 001 (CoRR, 2025)

RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems. - Xiaohua Feng 002; Yuyuan Li 001; Fengyuan Yu; Ke Xiong 007; Junjie Fang; Li Zhang; Tianyu Du; Chaochao Chen 001 (CoRR, 2025)

FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning. - Li Zhang; Zhongxuan Han; Chaochao chen; Xiaohua Feng 002; Jiaming Zhang 001; Yuyuan Li 001 (CoRR, 2025)

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures. - Dezhang Kong; Shi Lin; Zhenhua Xu 004; Zhebo Wang; Minghao Li 012; Yufeng Li; Yilun Zhang; Hujin Peng; Zeyang Sha; Yuyuan Li 001; Changting Lin; Xun Wang; et al. (CoRR, 2025)

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization. - Jiaming Zhang 001; Yuyuan Li 001; Yiqun Xu; Li Zhang; Xiaohua Feng 002; Zhifei Ren; Chaochao Chen 001 (CoRR, 2025)

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction. - Xiaohua Feng 002; Jiaming Zhang 001; Fengyuan Yu; Chengye Wang; Li Zhang; Kaixiang Li; Yuyuan Li 001; Chaochao Chen 001; Jianwei Yin (CoRR, 2025)

UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning. - Jiaming Zhang 001; Yuyuan Li 001; Xiaohua Feng 002; Zhifei Ren; Li Zhang; Chaochao Chen 001 (CoRR, 2025)

DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation. - Jiajie Su; Chaochao Chen 001; Yihao Wang 007; Weiming Liu 005; Yuyuan Li 001; Tao Wang; Zhigang Li; Xiaolin Zheng; Jianwei Yin (ACM Trans. Inf. Syst., 2025)

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training. - Yuyuan Li 001; Junjie Fang; Fengyuan Yu; Xichun Sheng; Tianyu Du; Xuyang Teng; Shaowei Jiang; Linbo Jiang; Jianan Lin 003; Chaochao Chen 001 (AAAI, 2026)

DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data. - Shuo Shi; Jinghuai Zhang; Shijie Jiang; Chunyi Zhou 001; Yuyuan Li 001; Mengying Zhu; Yangyang Wu; Tianyu Du (AAAI, 2026)

Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content? - Naen Xu; Jinghuai Zhang; Changjiang Li; Hengyu An; Chunyi Zhou 001; Jun Wang 001; Boyu Xu; Yuyuan Li 001; Tianyu Du; Shouling Ji (AAAI, 2026)

TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models. - Li Zhang; Zhongxuan Han; Xiaohua Feng 002; Jiaming Zhang 001; Yuyuan Li 001; Linbo Jiang; Jianan Lin 003; Chaochao Chen 001 (AAAI, 2026)

Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation. - Fengyuan Yu; Xiaohua Feng 002; Yuyuan Li 001; Changwang Zhang; Jun Wang 020; Chaochao Chen 001 (WWW, 2026)

Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems. - Jiaming Zhang 009; Yuyuan Li 001; Xiaohua Feng 002; Li Zhang; Longfei Li; Jun Zhou 011; Chaochao Chen 001 (WWW, 2026)

Adaptive eco-cooperative adaptive cruise control for heterogeneous Vehicle platoons using online identification-informed deep reinforcement learning. - Jianing Sun; Chenhao Xiong; Chunjie Zhai; Yuyuan Li 001; Xiongding Liu; Chuqiao Chen; Chenggang Yan 001; Yahong Chen (Eng. Appl. Artif. Intell., 2026)

Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning. - Jiajie Su; Haoyuan Wang; Xiaohua Feng 002; Yunshan Ma 002; Xiaobo Xia; Yuyuan Li 001; Xiaolin Zheng; Jianmao Xiao; Chaochao Chen 001 (CoRR, 2026)

A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions. - Yuyuan Li 001; Xiaohua Feng 002; Chaochao Chen 001; Qiang Yang (IEEE Trans. Knowl. Data Eng., 2026)

Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation. - Fengyuan Yu; Xiaohua Feng; Yuyuan Li 001; Changwang Zhang; Jun Wang; Chaochao Chen (CoRR, 2026)

Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems. - Jiaming Zhang 001; Yuyuan Li 001; Xiaohua Feng 002; Li Zhang; Longfei Li; Jun Zhou 011; Chaochao Chen 001 (CoRR, 2026)

"I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns? - Naen Xu; Jiayi Sheng; Changjiang Li; Chunyi Zhou 001; Yuyuan Li 001; Tianyu Du; Jun Wang 020; Zhihui Fu; Jinbao Li; Shouling Ji (CoRR, 2026)