Coherent Photoacoustic-Ultrasound Correlation and Imaging. - Fei Gao 010; Xiaohua Feng 002; Yuanjin Zheng (IEEE Trans. Biomed. Eng., 2014)

Photoacoustic-Based-Close-Loop Temperature Control for Nanoparticle Hyperthermia. - Xiaohua Feng 002; Fei Gao 010; Yuanjin Zheng (IEEE Trans. Biomed. Eng., 2015)

Dual-pulse nonlinear photoacoustic imaging: Physics, sensing and imaging system design. - Fei Gao 010; Xiaohua Feng 002; Ruochong Zhang; Siyu Liu 001; Ran Ding; Yuanjin Zheng (ASICON, 2017)

Phase-domain photoacoustics eliminating acoustic detection variations. - Tingyang Duan; Ruochong Zhang; Xiaohua Feng 002; Siyu Liu 001; Ran Ding; Yuanjin Zheng; Fei Gao 010 (EMBC, 2017)

Portable photoacoustic system for noninvasive blood temperature measurement. - Siyu Liu 001; Xiaohua Feng 002; Ruochong Zhang; Yuanjin Zheng (ISCAS, 2018)

Toward Wearable Healthcare: A Miniaturized 3D Imager With Coherent Frequency-Domain Photoacoustics. - Siyu Liu 001; Kai Tang 002; Xiaohua Feng 002; Haoran Jin; Fei Gao 010; Yuanjin Zheng (IEEE Trans. Biomed. Circuits Syst., 2019)

Handheld Photoacoustic Imager for Theranostics in 3D. - Siyu Liu 001; Xiaohua Feng 002; Haoran Jin; Ruochong Zhang; Yunqi Luo; Zesheng Zheng; Fei Gao 010; Yuanjin Zheng (IEEE Trans. Medical Imaging, 2019)

An Early Fusion Complementary RADAR-LiDAR TRX in 65nm CMOS Supporting Gear-Shifting Sub-cm Resolution for Smart Sensing and Imaging. - Liheng Lou; Kai Tang 002; Zhongyuan Fang; Yisheng Wang; Bo Chen 014; Ting Guo 001; Xiaohua Feng 002; Siyu Liu 001; Wensong Wang; Yuanjin Zheng (ISSCC, 2021)

Federated Large Language Model: A Position Paper. - Chaochao Chen 001; Xiaohua Feng 002; Jun Zhou 011; Jianwei Yin; Xiaolin Zheng (CoRR, 2023)

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

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)

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)

HDN: Hybrid Deep-Learning and Non-Line-of-Sight Reconstruction Framework for Transcranial Photoacoustic Imaging of Human Brain. - Pengcheng Wan; Fan Zhang 060; Yuting Shen; Hulin Zhao; Xiran Cai; Xiaohua Feng 002; Fei Gao 010 (IEEE Trans. Computational Imaging, 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)

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)

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)

Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm. - Jiajie Su; Zihan Nan; Yunshan Ma 002; Xiaobo Xia; Xiaohua Feng 002; Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001 (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)

Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm. - Jiajie Su; Zihan Nan; Yunshan Ma 002; Xiaobo Xia; Xiaohua Feng 002; Weiming Liu 005; Xiang Chen; Xiaolin Zheng; Chaochao Chen 001 (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)

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)

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)