Xiaohua Feng
Orcid: 0000-0002-1076-2565Affiliations:
- Zhejiang University, College of Computer Science and Technology, College of Optical Science and Engineering, Hangzhou, China
According to our database1,
Xiaohua Feng authored at least 32 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.
CoRR, March, 2026
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions.
IEEE Trans. Knowl. Data Eng., February, 2026
Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning.
CoRR, January, 2026
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.
Proceedings of the ACM Web Conference 2026, 2026
Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation.
Proceedings of the ACM Web Conference 2026, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning.
CoRR, November, 2025
Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm.
CoRR, November, 2025
A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction.
CoRR, July, 2025
BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization.
CoRR, July, 2025
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning.
CoRR, June, 2025
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems.
CoRR, April, 2025
CoRR, April, 2025
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty.
CoRR, April, 2025
Multi-Objective Unlearning in Recommender Systems via Preference Guided Pareto Exploration.
IEEE Trans. Serv. Comput., 2025
HDN: Hybrid Deep-Learning and Non-Line-of-Sight Reconstruction Framework for Transcranial Photoacoustic Imaging of Human Brain.
IEEE Trans. Computational Imaging, 2025
Proceedings of the ACM on Web Conference 2025, 2025
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization.
CoRR, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
2021
An Early Fusion Complementary RADAR-LiDAR TRX in 65nm CMOS Supporting Gear-Shifting Sub-cm Resolution for Smart Sensing and Imaging.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021
2019
IEEE Trans. Medical Imaging, 2019
Toward Wearable Healthcare: A Miniaturized 3D Imager With Coherent Frequency-Domain Photoacoustics.
IEEE Trans. Biomed. Circuits Syst., 2019
2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Dual-pulse nonlinear photoacoustic imaging: Physics, sensing and imaging system design.
Proceedings of the 12th IEEE International Conference on ASIC, 2017
2015
IEEE Trans. Biomed. Eng., 2015
2014
IEEE Trans. Biomed. Eng., 2014