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2020 – today
- 2024
[j3]Yujie Zheng
, Chong Wang, Chenchen Tao, Sunqi Lin, Jiangbo Qian, Jiafei Wu:
Restructuring the Teacher and Student in Self-Distillation. IEEE Trans. Image Process. 33: 5551-5563 (2024)- [c14]Puning Zhao, Jiafei Wu, Zhe Liu:
Robust Federated Learning with Realistic Corruption. APWeb/WAIM (4) 2024: 228-242 - [c13]Zhusen Liu, Jiafei Wu, Zhe Liu:
Efficient Large-Scale Multi-party Computation Based on Garbled Circuit. ISPEC 2024: 240-257 - [i11]Chenchen Tao, Chong Wang, Yuexian Zou, Xiaohao Peng, Jiafei Wu, Jiangbo Qian:
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection. CoRR abs/2403.01169 (2024) - [i10]Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu:
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. CoRR abs/2405.13453 (2024) - [i9]Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu:
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. CoRR abs/2405.13746 (2024) - [i8]Puning Zhao, Rongfei Fan, Huiwen Wu, Qingming Li, Jiafei Wu, Zhe Liu:
Enhancing Learning with Label Differential Privacy by Vector Approximation. CoRR abs/2405.15150 (2024) - [i7]Lichuan Ji, Yingqi Lin, Zhenhua Huang, Yan Han, Xiaogang Xu, Jiafei Wu, Chong Wang, Zhe Liu:
Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features. CoRR abs/2405.15343 (2024) - [i6]Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu:
Learning with User-Level Local Differential Privacy. CoRR abs/2405.17079 (2024) - [i5]Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen Wu:
Contextual Bandits for Unbounded Context Distributions. CoRR abs/2408.09655 (2024) - [i4]Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li:
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. CoRR abs/2408.09891 (2024) - 2023
- [c12]Yujie Zheng, Chong Wang, Yi Chen, Jiangbo Qian, Jun Wang, Jiafei Wu:
Enlightening the Student in Knowledge Distillation. ICASSP 2023: 1-5 - [c11]Xinmiao Dai, Chong Wang, Haohe Li, Sunqi Lin, Li Dong, Jiafei Wu, Jun Wang:
Synthetic Feature Assessment for Zero-Shot Object Detection. ICME 2023: 444-449 - [i3]Yingqi Lin, Xiaogang Xu, Yan Han, Jiafei Wu, Zhe Liu:
Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance. CoRR abs/2312.15855 (2023) - [i2]Yan Han, Xiaogang Xu, Yingqi Lin, Jiafei Wu, Zhe Liu:
Video Frame Interpolation with Region-Distinguishable Priors from SAM. CoRR abs/2312.15868 (2023) - 2022
- [c10]Weijie Liu, Chong Wang, Shenghao Yu, Chenchen Tao, Jun Wang, Jiafei Wu:
Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection. ICASSP 2022: 2250-2254 - [c9]Zheng Huo, Chong Wang, Weiwei Chen, Yuqi Li, Jun Wang, Jiafei Wu:
Balanced Stripe-Wise Pruning In The Filter. ICASSP 2022: 4408-4412 - [c8]Jieyong Che, Chong Wang, Weiwei Chen, Xinmiao Dai, Jun Wang, Jiafei Wu:
Pruning Dynamic Group Convolution with Static Substitute. ICME 2022: 1-6 - [c7]Yiling Gong, Chong Wang, Xinmiao Dai, Shenghao Yu, Lehong Xiang, Jiafei Wu:
Multi-Scale Continuity-Aware Refinement Network for Weakly Supervised Video Anomaly Detection. ICME 2022: 1-6 - [c6]Shenghao Yu, Chong Wang, Lehong Xiang, Jiafei Wu:
TCA-VAD: Temporal Context Alignment Network for Weakly Supervised Video Anomly Detection. ICME 2022: 1-6 - 2021
- [j2]Shenghao Yu, Chong Wang, Qiao-mei Ma, Yuqi Li, Jiafei Wu:
Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos. IEEE Signal Process. Lett. 28: 2137-2141 (2021) - [c5]Jiafei Wu, Genjie Li, Chong Wang, Huakai Liu, Shuai Zhang, Guangcheng Zhang:
Extended Guided Image Filtering For Contrast Enhancement. ICME Workshops 2021: 1-4 - [i1]Weijie Liu, Chong Wang, Haohe Li, Shenghao Yu, Song Chen, Xulun Ye, Jiafei Wu:
Dynamic Relevance Learning for Few-Shot Object Detection. CoRR abs/2108.02235 (2021)
2010 – 2019
- 2019
- [c4]Jiafei Wu, Shing-Chow Chan, Shuai Zhang:
Efficient multiplier-less inference of deep autoencoders on wearable healthcare systems. UbiComp 2019: 231-233 - 2018
- [c3]Jiafei Wu, Chong Wang, Yongze Xu:
An Improved Guided Filtering Algorithm for Image Enhancement. ICME 2018: 1-6 - 2016
- [c2]Jiafei Wu, Y. L. Bao, Shing-Chow Chan, H. C. Wu, Li Zhang, Xi-Guang Wei:
Myocardial infarction detection and classification - A new multi-scale deep feature learning approach. DSP 2016: 309-313 - 2015
- [j1]Jiafei Wu, Andersen Man Shun Ang, Kai Man Tsui, H. C. Wu, Yeung Sam Hung, Yong Hu, Joseph N. F. Mak, Shing-Chow Chan, Z. G. Zhang:
Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human-Machine Interface System. IEEE Trans. Circuits Syst. II Express Briefs 62-II(2): 179-183 (2015) - 2014
- [c1]Jiafei Wu, Chong Wang, Zhouchi Lin, Shing-Chow Chan:
A patch-number and bandwidth adaptive non-local kernel regression algorithm for multiview image denoising. DSP 2014: 301-304
Coauthor Index
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