Wu, Jiafei

10 publications

ICLR 2026 Fair in Mind, Fair in Action? a Synchronous Benchmark for Understanding and Generation in UMLLMs Yiran Zhao, Lu Zhou, Xiaogang Xu, Zhe Liu, Jiafei Wu, Liming Fang

AAAI 2025 DR-Encoder: Encode Low-Rank Gradients with Random Prior for Large Language Models Differentially Privately Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu

AAAI 2025 Differential Private Stochastic Optimization with Heavy-Tailed Data: Towards Optimal Rates Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li

ICLR 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li

IJCAI 2025 HARMONY: A Privacy-Preserving and Sensor-Agnostic Tele-Monitoring System Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu

ICCV 2025 Learnable Feature Patches and Vectors for Boosting Low-Light Image Enhancement Without External Knowledge Xiaogang Xu, Jiafei Wu, Qingsen Yan, Jiequan Cui, Richang Hong, Bei Yu

IJCAI 2025 Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu

AAAI 2025 UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu

NeurIPS 2024 A Huber Loss Minimization Approach to Mean Estimation Under User-Level Differential Privacy Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu

ECCV 2024 Gradient-Aware for Class-Imbalanced Semi-Supervised Medical Image Segmentation Wenbo Qi, Jiafei Wu, S. C. Chan