Jiafei Wu - RankMe

65 papers A* 11A 6C 2Misc 5Journal 35Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey. ACM Comput. Surv. Chiyu Zhang, Lu Zhou, Xiaogang Xu, Jiafei Wu, Zhe Liu
2026	A*	`conf`	Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation. AAAI Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu
2026	J	`jnl`	Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs. CoRR Yiran Zhao, Lu Zhou, Xiaogang Xu, Zhe Liu, Jiafei Wu, Liming Fang
2026	J	`jnl`	From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents. CoRR Xiaolei Zhang, Lu Zhou, Xiaogang Xu, Jiafei Wu, Tianyu Du, Heqing Huang, Hao Peng, Zhe Liu
2026	J	`jnl`	GADT: Enhancing transferable adversarial attacks through gradient-guided adversarial data transformation. Neurocomputing Yating Ma, Xiaogang Xu, Liming Fang, Jiafei Wu, Lu Zhou
2026	J	`jnl`	Low-Light Video Enhancement with An Effective Spatial-Temporal Decomposition Paradigm. CoRR Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu
2026	A*	`conf`	Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding. AAAI Jiaqi Tang, Jianmin Chen, Wei Wei, Xiaogang Xu, Runtao Liu, Xiangyu Wu, Qipeng Xie, Jiafei Wu, Lei Zhang, Qifeng Chen
2025	A*	`conf`	An Attack-Agnostic Defense Framework Against Manipulation Attacks Under Local Differential Privacy. SP Puning Zhao, Zhikun Zhang, Jiawei Dong, Jiafei Wu, Zhe Liu, Shaowei Wang, Yunjun Gao
2025	Misc	`conf`	An Optimized GPU-based Acceleration of CRYSTALS-Dilithium. ICASSP Zhao Chen, Weimin He, Jiafei Wu, Jingjie Liu, Boqin Xu, Xiaoning Bian, Zhe Liu
2025	J	`jnl`	Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement. CoRR Xiaogang Xu, Jian Wang, Yunfan Lu, Ruihang Chu, Ruixing Wang, Jiafei Wu, Bei Yu, Liang Lin
2025	J	`jnl`	CBPSPX: A CUDA-Based Batch Parallel Optimization of Post-Quantum Signature SPHINCS IEEE Internet Things J. Jiafei Wu, Yifei Yu, Zhao Chen, Hao Yang, Chao Li, Zhe Liu
2025	A	`conf`	CG-FedLLM: How to Compress Gradients in Federated Fine-Tuning for Large Language Models. ECAI Huiwen Wu, Xiaogang Xu, Deyi Zhang, Xiaohan Li, Jiafei Wu, Zhe Liu
2025	J	`jnl`	Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation. CoRR Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu
2025	—	`conf`	Comparing and Improving Frequency Estimation Perturbation Mechanisms Under Local Differential Privacy. ACISP (3) She Sun, Jiafei Wu, Jian Yang, Li Zhou, Huiwen Wu
2025	J	`jnl`	DQEN: Dual Query Enhancement Network for DETR-based HOI Detection. CoRR Zhehao Li, Chong Wang, Yi Chen, Yinghao Lu, Jiangbo Qian, Jiong Wang, Jiafei Wu
2025	A*	`conf`	DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. AAAI Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu
2025	A*	`conf`	Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. AAAI Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li
2025	A*	`conf`	Enhancing Learning with Label Differential Privacy by Vector Approximation. ICLR Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li
2025	J	`jnl`	Exploiting Unlabeled Structures through Task Consistency Training for Versatile Medical Image Segmentation. CoRR Shengqian Zhu, Jiafei Wu, Xiaogang Xu, Chengrong Yu, Ying Song, Zhang Yi, Guangjun Li, Junjie Hu
2025	J	`jnl`	Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance. IEEE Trans. Image Process. Yingqi Lin, Xiaogang Xu, Jiafei Wu, Yan Han, Zhe Liu
2025	A*	`conf`	HARMONY: A Privacy-preserving and Sensor-agnostic Tele-monitoring system. IJCAI Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu
2025	J	`jnl`	Jailbreaking Commercial Black-Box LLMs with Explicitly Harmful Prompts. CoRR Chiyu Zhang, Lu Zhou, Xiaogang Xu, Jiafei Wu, Liming Fang, Zhe Liu
2025	A*	`conf`	Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. IJCAI Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu
2025	J	`jnl`	Modeling the Multivariate Relationship with Contextualized Representations for Effective Human-Object Interaction Detection. CoRR Zhehao Li, Yucheng Qian, Chong Wang, Yinghao Lu, Zhihao Yang, Jiafei Wu
2025	A*	`conf`	PRIME: Prototype-Driven Class Incremental Learning for Medical Image Segmentation. ACM Multimedia Shengqian Zhu, Chengrong Yu, Wenbo Qi, Jiafei Wu, Ying Song, Guangjun Li, Zhang Yi, Xiaogang Xu, Junjie Hu
2025	C	`conf`	Privacy-Preserving LLM Agent for Multi-modal Health Monitoring. ProvSec Qipeng Xie, Jiafei Wu, Weiyu Wang, Zhuotao Lian, Mu Yuan, Xian Shuai, Weizheng Wang, Yuan Haoyi, Haibo Hu, Kaishun Wu
2025	J	`jnl`	Robust Federated Learning Under Realistic Corruption: An Iterative Filtering Approach. IEEE Internet Things J. Jiafei Wu, Puning Zhao, Chong Wang, Zhe Liu
2025	J	`jnl`	Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding. CoRR Jiaqi Tang, Jianmin Chen, Wei Wei, Xiaogang Xu, Runtao Liu, Xiangyu Wu, Qipeng Xie, Jiafei Wu, Lei Zhang, Qifeng Chen
2025	J	`jnl`	Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models. IEEE Trans. Knowl. Data Eng. Xiaoshu Chen, Sihang Zhou, Ke Liang, Jiafei Wu, Xinwang Liu, Dongsheng Li, Kai Lu
2025	A*	`conf`	UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. AAAI Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu
2025	J	`jnl`	UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks. CoRR Yuanbin Qian, Shuhan Ye, Chong Wang, Xiaojie Cai, Jiangbo Qian, Jiafei Wu
2024	A*	`conf`	A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. NeurIPS Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
2024	J	`jnl`	A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. CoRR Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
2024	J	`jnl`	Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey. CoRR Chiyu Zhang, Xiaogang Xu, Jiafei Wu, Zhe Liu, Lu Zhou
2024	J	`jnl`	CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Models. CoRR Huiwen Wu, Xiaohan Li, Deyi Zhang, Xiaogang Xu, Jiafei Wu, Puning Zhao, Zhe Liu
2024	J	`jnl`	Contextual Bandits for Unbounded Context Distributions. CoRR Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen Wu
2024	J	`jnl`	DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately. CoRR Huiwen Wu, Deyi Zhang, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Zhe Liu
2024	J	`jnl`	Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates. CoRR Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li
2024	J	`jnl`	Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features. CoRR Lichuan Ji, Yingqi Lin, Zhenhua Huang, Yan Han, Xiaogang Xu, Jiafei Wu, Chong Wang, Zhe Liu
2024	C	`conf`	Efficient Large-Scale Multi-party Computation Based on Garbled Circuit. ISPEC Zhusen Liu, Jiafei Wu, Zhe Liu
2024	J	`jnl`	Enhancing Learning with Label Differential Privacy by Vector Approximation. CoRR Puning Zhao, Rongfei Fan, Huiwen Wu, Qingming Li, Jiafei Wu, Zhe Liu
2024	—	`conf`	Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation. ECCV (55) Wenbo Qi, Jiafei Wu, Shing-Chow Chan
2024	J	`jnl`	Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning. CoRR Huiwen Wu, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Deyi Zhang, Zhe Liu
2024	J	`jnl`	Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection. CoRR Chenchen Tao, Chong Wang, Yuexian Zou, Xiaohao Peng, Jiafei Wu, Jiangbo Qian
2024	J	`jnl`	Learning with User-Level Local Differential Privacy. CoRR Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu
2024	J	`jnl`	Restructuring the Teacher and Student in Self-Distillation. IEEE Trans. Image Process. Yujie Zheng, Chong Wang, Chenchen Tao, Sunqi Lin, Jiangbo Qian, Jiafei Wu
2024	—	`conf`	Robust Federated Learning with Realistic Corruption. APWeb/WAIM (4) Puning Zhao, Jiafei Wu, Zhe Liu
2024	J	`jnl`	scCaT: An explainable capsulating architecture for sepsis diagnosis transferring from single-cell RNA sequencing. PLoS Comput. Biol. 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
2023	Misc	`conf`	Enlightening the Student in Knowledge Distillation. ICASSP Yujie Zheng, Chong Wang, Yi Chen, Jiangbo Qian, Jun Wang, Jiafei Wu
2023	J	`jnl`	Geometric-Aware Low-Light Image and Video Enhancement via Depth Guidance. CoRR Yingqi Lin, Xiaogang Xu, Yan Han, Jiafei Wu, Zhe Liu
2023	A	`conf`	Synthetic Feature Assessment for Zero-Shot Object Detection. ICME Xinmiao Dai, Chong Wang, Haohe Li, Sunqi Lin, Li Dong, Jiafei Wu, Jun Wang
2023	J	`jnl`	Video Frame Interpolation with Region-Distinguishable Priors from SAM. CoRR Yan Han, Xiaogang Xu, Yingqi Lin, Jiafei Wu, Zhe Liu
2022	Misc	`conf`	Balanced Stripe-Wise Pruning In The Filter. ICASSP Zheng Huo, Chong Wang, Weiwei Chen, Yuqi Li, Jun Wang, Jiafei Wu
2022	A	`conf`	Multi-Scale Continuity-Aware Refinement Network for Weakly Supervised Video Anomaly Detection. ICME Yiling Gong, Chong Wang, Xinmiao Dai, Shenghao Yu, Lehong Xiang, Jiafei Wu
2022	Misc	`conf`	Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection. ICASSP Weijie Liu, Chong Wang, Shenghao Yu, Chenchen Tao, Jun Wang, Jiafei Wu
2022	A	`conf`	Pruning Dynamic Group Convolution with Static Substitute. ICME Jieyong Che, Chong Wang, Weiwei Chen, Xinmiao Dai, Jun Wang, Jiafei Wu
2022	A	`conf`	TCA-VAD: Temporal Context Alignment Network for Weakly Supervised Video Anomly Detection. ICME Shenghao Yu, Chong Wang, Lehong Xiang, Jiafei Wu
2021	J	`jnl`	Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos. IEEE Signal Process. Lett. Shenghao Yu, Chong Wang, Qiao-mei Ma, Yuqi Li, Jiafei Wu
2021	J	`jnl`	Dynamic Relevance Learning for Few-Shot Object Detection. CoRR Weijie Liu, Chong Wang, Haohe Li, Shenghao Yu, Song Chen, Xulun Ye, Jiafei Wu
2021	—	`conf`	Extended Guided Image Filtering For Contrast Enhancement. ICME Workshops Jiafei Wu, Genjie Li, Chong Wang, Huakai Liu, Shuai Zhang, Guangcheng Zhang
2019	Misc	`conf`	Efficient multiplier-less inference of deep autoencoders on wearable healthcare systems. UbiComp Jiafei Wu, Shing-Chow Chan, Shuai Zhang
2018	A	`conf`	An Improved Guided Filtering Algorithm for Image Enhancement. ICME Jiafei Wu, Chong Wang, Yongze Xu
2016	—	`conf`	Myocardial infarction detection and classification - A new multi-scale deep feature learning approach. DSP Jiafei Wu, Y. L. Bao, Shing-Chow Chan, H. C. Wu, Li Zhang, Xi-Guang Wei
2015	J	`jnl`	Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human-Machine Interface System. IEEE Trans. Circuits Syst. II Express Briefs 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
2014	—	`conf`	A patch-number and bandwidth adaptive non-local kernel regression algorithm for multiview image denoising. DSP Jiafei Wu, Chong Wang, Zhouchi Lin, Shing-Chow Chan