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2020 – today
- 2026
[j10]Chiyu Zhang
, Lu Zhou, Xiaogang Xu, Jiafei Wu, Zhe Liu:
Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey. ACM Comput. Surv. 58(2): 52:1-52:42 (2026)- [j9]Yating Ma, Xiaogang Xu, Liming Fang, Jiafei Wu, Lu Zhou:
GADT: Enhancing transferable adversarial attacks through gradient-guided adversarial data transformation. Neurocomputing 677: 133052 (2026) - [c30]Jiaqi Tang, Jianmin Chen, Wei Wei, Xiaogang Xu, Runtao Liu, Xiangyu Wu, Qipeng Xie, Jiafei Wu, Lei Zhang, Qifeng Chen:
Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding. AAAI 2026: 9421-9429 - [c29]Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu:
Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation. AAAI 2026: 13961-13969 - [i25]Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu:
Low-Light Video Enhancement with An Effective Spatial-Temporal Decomposition Paradigm. CoRR abs/2602.08699 (2026) - [i24]Yiran Zhao, Lu Zhou, Xiaogang Xu, Zhe Liu, Jiafei Wu, Liming Fang:
Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs. CoRR abs/2603.00590 (2026) - [i23]Xiaolei Zhang, Lu Zhou, Xiaogang Xu, Jiafei Wu, Tianyu Du, Heqing Huang, Hao Peng, Zhe Liu:
From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents. CoRR abs/2603.07496 (2026) - 2025
- [j8]Jiafei Wu, Puning Zhao, Chong Wang, Zhe Liu:
Robust Federated Learning Under Realistic Corruption: An Iterative Filtering Approach. IEEE Internet Things J. 12(9): 12948-12957 (2025) - [j7]Jiafei Wu, Yifei Yu, Zhao Chen, Hao Yang, Chao Li, Zhe Liu:
CBPSPX: A CUDA-Based Batch Parallel Optimization of Post-Quantum Signature SPHINCS+. IEEE Internet Things J. 12(18): 37898-37911 (2025) - [j6]Yingqi Lin, Xiaogang Xu, Jiafei Wu, Yan Han, Zhe Liu:
Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance. IEEE Trans. Image Process. 34: 5442-5457 (2025) - [j5]Xiaoshu Chen, Sihang Zhou, Ke Liang, Jiafei Wu, Xinwang Liu, Dongsheng Li, Kai Lu:
Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models. IEEE Trans. Knowl. Data Eng. 37(10): 6202-6215 (2025) - [c28]Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu:
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. AAAI 2025: 6577-6585 - [c27]Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li:
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. AAAI 2025: 22795-22803 - [c26]Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu:
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. AAAI 2025: 27706-27714 - [c25]She Sun, Jiafei Wu, Jian Yang, Li Zhou, Huiwen Wu:
Comparing and Improving Frequency Estimation Perturbation Mechanisms Under Local Differential Privacy. ACISP (3) 2025: 3-21 - [c24]Huiwen Wu, Xiaogang Xu, Deyi Zhang, Xiaohan Li, Jiafei Wu, Zhe Liu:
CG-FedLLM: How to Compress Gradients in Federated Fine-Tuning for Large Language Models. ECAI 2025: 4257-4264 - [c23]Zhao Chen, Weimin He, Jiafei Wu, Jingjie Liu, Boqin Xu, Xiaoning Bian, Zhe Liu:
An Optimized GPU-based Acceleration of CRYSTALS-Dilithium. ICASSP 2025: 1-5 - [c22]Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li:
Enhancing Learning with Label Differential Privacy by Vector Approximation. ICLR 2025 - [c21]Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu:
Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. IJCAI 2025: 2134-2142 - [c20]Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu:
HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system. IJCAI 2025: 9945-9953 - [c19]Shengqian Zhu, Chengrong Yu, Wenbo Qi, Jiafei Wu, Ying Song, Guangjun Li, Zhang Yi, Xiaogang Xu, Junjie Hu:
PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation. ACM Multimedia 2025: 4688-4697 - [c18]Qipeng Xie, Jiafei Wu, Weiyu Wang, Zhuotao Lian, Mu Yuan, Xian Shuai, Weizheng Wang, Yuan Haoyi, Haibo Hu, Kaishun Wu:
Privacy-Preserving LLM Agent for Multi-modal Health Monitoring. ProvSec 2025: 488-492 - [c17]Puning Zhao, Zhikun Zhang, Jiawei Dong, Jiafei Wu, Zhe Liu, Shaowei Wang, Yunjun Gao:
An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. SP 2025: 3858-3876 - [i22]Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu:
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. CoRR abs/2503.12905 (2025) - [i21]Chiyu Zhang, Lu Zhou, Xiaogang Xu, Jiafei Wu, Liming Fang, Zhe Liu:
Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts. CoRR abs/2508.10390 (2025) - [i20]Zhehao Li, Chong Wang, Yi Chen, Yinghao Lu, Jiangbo Qian, Jiong Wang, Jiafei Wu:
DQEN: Dual Query Enhancement Network for DETR-based HOI Detection. CoRR abs/2508.18896 (2025) - [i19]Shengqian Zhu, Jiafei Wu, Xiaogang Xu, Chengrong Yu, Ying Song, Zhang Yi, Guangjun Li, Junjie Hu:
Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation. CoRR abs/2509.04732 (2025) - [i18]Zhehao Li, Yucheng Qian, Chong Wang, Yinghao Lu, Zhihao Yang, Jiafei Wu:
Modeling the Multivariate Relationship with Contextualized Representations for Effective Human-Object Interaction Detection. CoRR abs/2509.12784 (2025) - [i17]Xiaogang Xu, Jian Wang, Yunfan Lu, Ruihang Chu, Ruixing Wang, Jiafei Wu, Bei Yu, Liang Lin:
Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement. CoRR abs/2510.17105 (2025) - [i16]Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu:
Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation. CoRR abs/2511.07749 (2025) - [i15]Jiaqi Tang, Jianmin Chen, Wei Wei, Xiaogang Xu, Runtao Liu, Xiangyu Wu, Qipeng Xie, Jiafei Wu, Lei Zhang, Qifeng Chen:
Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding. CoRR abs/2512.17532 (2025) - 2024
- [j4]Xubin Zheng, Dian Meng, Duo Chen, Wan-Ki Wong, Ka-Ho To, Lei Zhu, Jiafei Wu, Yining Liang, Kwong-Sak Leung, Man Hon Wong, Lixin Cheng:
scCaT: An explainable capsulating architecture for sepsis diagnosis transferring from single-cell RNA sequencing. PLoS Comput. Biol. 20(10): 1012083 (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) - [c16]Puning Zhao, Jiafei Wu, Zhe Liu:
Robust Federated Learning with Realistic Corruption. APWeb/WAIM (4) 2024: 228-242 - [c15]Wenbo Qi, Jiafei Wu, Shing-Chow Chan:
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation. ECCV (55) 2024: 473-490 - [c14]Zhusen Liu, Jiafei Wu, Zhe Liu:
Efficient Large-Scale Multi-party Computation Based on Garbled Circuit. ISPEC 2024: 240-257 - [c13]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. NeurIPS 2024 - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen Wu:
Contextual Bandits for Unbounded Context Distributions. CoRR abs/2408.09655 (2024) - [i7]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) - [i6]Huiwen Wu, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Deyi Zhang, Zhe Liu:
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning. CoRR abs/2410.12130 (2024) - [i5]Chiyu Zhang, Xiaogang Xu, Jiafei Wu, Zhe Liu, Lu Zhou:
Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey. CoRR abs/2410.23687 (2024) - [i4]Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu:
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. CoRR abs/2412.17053 (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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