A patch-number and bandwidth adaptive non-local kernel regression algorithm for multiview image denoising. - Jiafei Wu; Chong Wang 001; Zhouchi Lin; Shing-Chow Chan (DSP, 2014)

Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human-Machine Interface System. - Jiafei Wu; Andersen Man Shun Ang; Kai Man Tsui; H. C. Wu 001; Yeung Sam Hung; Yong Hu 003; Joseph N. F. Mak; Shing-Chow Chan; Z. G. Zhang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Myocardial infarction detection and classification - A new multi-scale deep feature learning approach. - Jiafei Wu; Y. L. Bao; Shing-Chow Chan; H. C. Wu 001; Li Zhang 041; Xi-Guang Wei (DSP, 2016)

An Improved Guided Filtering Algorithm for Image Enhancement. - Jiafei Wu; Chong Wang 001; Yongze Xu (ICME, 2018)

Efficient multiplier-less inference of deep autoencoders on wearable healthcare systems. - Jiafei Wu; Shing-Chow Chan; Shuai Zhang 004 (UbiComp, 2019)

Extended Guided Image Filtering For Contrast Enhancement. - Jiafei Wu; Genjie Li; Chong Wang 001; Huakai Liu; Shuai Zhang 004; Guangcheng Zhang (ICME Workshops, 2021)

Dynamic Relevance Learning for Few-Shot Object Detection. - Weijie Liu; Chong Wang 001; Haohe Li; Shenghao Yu; Song Chen; Xulun Ye; Jiafei Wu (CoRR, 2021)

Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos. - Shenghao Yu; Chong Wang 001; Qiao-mei Ma; Yuqi Li; Jiafei Wu (IEEE Signal Process. Lett., 2021)

Balanced Stripe-Wise Pruning In The Filter. - Zheng Huo; Chong Wang 001; Weiwei Chen; Yuqi Li; Jun Wang 071; Jiafei Wu (ICASSP, 2022)

Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection. - Weijie Liu; Chong Wang 001; Shenghao Yu; Chenchen Tao; Jun Wang 071; Jiafei Wu (ICASSP, 2022)

Pruning Dynamic Group Convolution with Static Substitute. - Jieyong Che; Chong Wang 001; Weiwei Chen; Xinmiao Dai; Jun Wang 071; Jiafei Wu (ICME, 2022)

Multi-Scale Continuity-Aware Refinement Network for Weakly Supervised Video Anomaly Detection. - Yiling Gong; Chong Wang; Xinmiao Dai; Shenghao Yu; Lehong Xiang; Jiafei Wu (ICME, 2022)

TCA-VAD: Temporal Context Alignment Network for Weakly Supervised Video Anomly Detection. - Shenghao Yu; Chong Wang 001; Lehong Xiang; Jiafei Wu (ICME, 2022)

Enlightening the Student in Knowledge Distillation. - Yujie Zheng; Chong Wang 001; Yi Chen 001; Jiangbo Qian; Jun Wang 071; Jiafei Wu (ICASSP, 2023)

Synthetic Feature Assessment for Zero-Shot Object Detection. - Xinmiao Dai; Chong Wang 001; Haohe Li; Sunqi Lin; Li Dong; Jiafei Wu; Jun Wang 071 (ICME, 2023)

Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance. - Yingqi Lin; Xiaogang Xu 002; Yan Han; Jiafei Wu; Zhe Liu (CoRR, 2023)

Video Frame Interpolation with Region-Distinguishable Priors from SAM. - Yan Han; Xiaogang Xu 002; Yingqi Lin; Jiafei Wu; Zhe Liu (CoRR, 2023)

Robust Federated Learning with Realistic Corruption. - Puning Zhao; Jiafei Wu; Zhe Liu (APWeb/WAIM (4), 2024)

Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation. - Wenbo Qi; Jiafei Wu; Shing-Chow Chan (ECCV (55), 2024)

Efficient Large-Scale Multi-party Computation Based on Garbled Circuit. - Zhusen Liu; Jiafei Wu; Zhe Liu 001 (ISPEC, 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 (NeurIPS, 2024)

Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection. - Chenchen Tao; Chong Wang 001; Yuexian Zou; Xiaohao Peng; Jiafei Wu; Jiangbo Qian (CoRR, 2024)

A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. - Puning Zhao; Lifeng Lai; Li Shen 008; Qingming Li; Jiafei Wu; Zhe Liu (CoRR, 2024)

CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. - Huiwen Wu; Xiaohan Li; Deyi Zhang; Xiaogang Xu 002; Jiafei Wu; Puning Zhao; Zhe Liu (CoRR, 2024)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Puning Zhao; Rongfei Fan; Huiwen Wu; Qingming Li; Jiafei Wu; Zhe Liu (CoRR, 2024)

Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features. - Lichuan Ji; Yingqi Lin; Zhenhua Huang; Yan Han; Xiaogang Xu 002; Jiafei Wu; Chong Wang; Zhe Liu (CoRR, 2024)

Learning with User-Level Local Differential Privacy. - Puning Zhao; Li Shen 008; Rongfei Fan; Qingming Li; Huiwen Wu; Jiafei Wu; Zhe Liu (CoRR, 2024)

Contextual Bandits for Unbounded Context Distributions. - Puning Zhao; Jiafei Wu; Zhe Liu; Huiwen Wu (CoRR, 2024)

Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning. - Huiwen Wu; Xiaohan Li; Xiaogang Xu 002; Jiafei Wu; Deyi Zhang; Zhe Liu (CoRR, 2024)

Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey. - Chiyu Zhang 001; Xiaogang Xu 002; Jiafei Wu; Zhe Liu; Lu Zhou (CoRR, 2024)

scCaT: An explainable capsulating architecture for sepsis diagnosis transferring from single-cell RNA sequencing. - Xubin Zheng; Dian Meng; Duo Chen; Wan-Ki Wong; Ka-Ho To; Lei Zhu 016; Jiafei Wu; Yining Liang; Kwong-Sak Leung; Man Hon Wong 001; Lixin Cheng (PLoS Comput. Biol., 2024)

Restructuring the Teacher and Student in Self-Distillation. - Yujie Zheng; Chong Wang 001; Chenchen Tao; Sunqi Lin; Jiangbo Qian; Jiafei Wu (IEEE Trans. Image Process., 2024)

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. - Yuanbin Qian; Shuhan Ye; Chong Wang 001; Xiaojie Cai; Jiangbo Qian; Jiafei Wu (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 002; 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 (AAAI, 2025)

Comparing and Improving Frequency Estimation Perturbation Mechanisms Under Local Differential Privacy. - She Sun; Jiafei Wu; Jian Yang; Li Zhou; Huiwen Wu (ACISP (3), 2025)

An Optimized GPU-based Acceleration of CRYSTALS-Dilithium. - Zhao Chen; Weimin He; Jiafei Wu; Jingjie Liu; Boqin Xu; Xiaoning Bian; Zhe Liu (ICASSP, 2025)

Enhancing Learning with Label Differential Privacy by Vector Approximation. - Puning Zhao; Jiafei Wu; Zhe Liu; Li Shen 008; Zhikun Zhang; Rongfei Fan; Le Sun; Qingming Li (ICLR, 2025)

An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. - Puning Zhao; Zhikun Zhang 001; Jiawei Dong; Jiafei Wu; Zhe Liu; Shaowei Wang; Yunjun Gao (SP, 2025)

Robust Federated Learning Under Realistic Corruption: An Iterative Filtering Approach. - Jiafei Wu; Puning Zhao; Chong Wang 001; Zhe Liu 001 (IEEE Internet Things J., 2025)