Wenke Huang - RankMe

89 papers A* 43Journal 44Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DAWN: Distributed LLM Multi-Agent Workflow Synthesis. AAAI Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang
2026	A*	`conf`	DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing. WWW Ting Qiao, Xing Liu, Wenke Huang, Jianbin Li, Zhaoxin Fan, Yiming Li
2026	A*	`conf`	Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation. AAAI Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang, Anwen Jiang, Guancheng Wan, Mang Ye
2026	A*	`conf`	Domain-Aware Suppression and Aggregation for Federated DG ReID. AAAI Zhixi Yu, Wei Liu, Wenke Huang, Bin Yang, Qian Bie, Guancheng Wan, Xin Xu
2026	J	`jnl`	EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models. CoRR Yiyang Fang, Wenke Huang, Pei Fu, Yihao Yang, Kehua Su, Zhenbo Luo, Jian Luan, Mang Ye
2026	J	`jnl`	FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts. CoRR Xin Xu, Weilong Li, Wei Liu, Wenke Huang, Zhixi Yu, Bin Yang, Xiaoying Liao, Kui Jiang
2026	—	`conf`	FedPRE: Robust Federated Graph Learning against Topological Corruption. KDD (1) Zihan Tan, Guancheng Wan, Wenke Huang, Bin Yang, Mang Ye
2026	A*	`conf`	Federated Context-Aware Personalized Recommendation. AAAI Zhihao Wang, Xiaoying Liao, Wenke Huang, Bingqian Liu, Tian Chen, Jian Wang, Bing Li
2026	J	`jnl`	Generalizable Geometric Prior and Recurrent Spiking Feature Learning for Humanoid Robot Manipulation. CoRR XueTao Li, Wenke Huang, Mang Ye, Jifeng Xuan, Bo Du, Sheng Liu, Miao Li
2026	J	`jnl`	Mining Cross-Modality Implicit Semantic Association for Unsupervised Visible-Infrared Person Re-Identification. IEEE Trans. Inf. Forensics Secur. Bin Yang, Lekai Liu, Wenke Huang, Xiao Wang, Bo Du, Mang Ye
2026	A*	`conf`	Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model. AAAI Xuankun Rong, Wenke Huang, Wenzheng Jiang, Yiming Li, Wenxuan Wang, Mang Ye
2026	A*	`conf`	RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation. AAAI XueTao Li, Wenke Huang, Nengyuan Pan, Kaiyan Zhao, Songhua Yang, Yiming Wang, Mengde Li, Mang Ye, Jifeng Xuan, Miao Li
2026	J	`jnl`	Towards Generalization Fairness in Federated Learning. IEEE Trans. Mob. Comput. Mang Ye, Yuhang Chen, Wenke Huang, Hui Cai, Laizhong Cui
2026	A*	`conf`	Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense. AAAI Zitong Shi, Guancheng Wan, Wenke Huang, Yuxin Wu, Quan Zhang, Mang Ye
2026	A*	`conf`	Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding. WWW Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang
2026	J	`jnl`	When Attention Betrays: Erasing Backdoor Attacks in Robotic Policies by Reconstructing Visual Tokens. CoRR XueTao Li, Pinhan Fu, Wenke Huang, Nengyuan Pan, Songhua Yang, Kaiyan Zhao, Guancheng Wan, Mengde Li, Jifeng Xuan, Miao Li
2025	J	`jnl`	3D Human Interaction Generation: A Survey. CoRR Siyuan Fan, Wenke Huang, Xiantao Cai, Bo Du
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025	J	`jnl`	A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations. CoRR Mang Ye, Xuankun Rong, Wenke Huang, Bo Du, Nenghai Yu, Dacheng Tao
2025	J	`jnl`	Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks. CoRR Yuang Jia, Xiaojuan Shan, Jun Xia, Guancheng Wan, Yuchen Zhang, Wenke Huang, Mang Ye, Stan Z. Li
2025	A*	`conf`	An Empirical Study of Federated Prompt Learning for Vision Language Model. IJCAI Zhihao Wang, Wenke Huang, Tian Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025	J	`jnl`	An Empirical Study of Federated Prompt Learning for Vision Language Model. CoRR Zhihao Wang, Wenke Huang, Tian-Long Chen, Zekun Shi, Guancheng Wan, Yu Qiao, Bin Yang, Jian Wang, Bing Li, Mang Ye
2025	J	`jnl`	Backdoor Cleaning without External Guidance in MLLM Fine-tuning. CoRR Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye
2025	A*	`conf`	Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning. ICML Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao
2025	J	`jnl`	BiaMix Contrastive Learning and Memory Similarity Distillation in Class-Incremental Learning. CAAI Trans. Intell. Technol. Mang Ye, Wenke Huang, Zekun Shi, Zhiwei Ye, Bo Du
2025	J	`jnl`	Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency. CoRR Yanbiao Ma, Wei Dai, Bowei Liu, Jiayi Chen, Wenke Huang, Guancheng Wan, Zhiwu Lu, Junchi Yan
2025	A*	`conf`	Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models. ICML Yiyang Fang, Jian Liang, Wenke Huang, He Li, Kehua Su, Mang Ye
2025	J	`jnl`	CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. CoRR Jinhe Bi, Danqi Yan, Yifan Wang, Wenke Huang, Haokun Chen, Guancheng Wan, Mang Ye, Xun Xiao, Hinrich Schütze, Volker Tresp, Yunpu Ma
2025	J	`jnl`	DSSmoothing: Toward Certified Dataset Ownership Verification for Pre-trained Language Models via Dual-Space Smoothing. CoRR Ting Qiao, Xing Liu, Wenke Huang, Jianbin Li, Zhaoxin Fan, Yiming Li
2025	J	`jnl`	Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts. CoRR Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang
2025	J	`jnl`	Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Image Segmentation. CoRR Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang, Anwen Jiang, Guancheng Wan, Mang Ye
2025	A*	`conf`	Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning. ICML Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan, Yingwen Chen, Zhiping Cai
2025	A*	`conf`	EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification. ICML Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li, Carl Yang, Mang Ye
2025	A*	`conf`	EMOE: Modality-Specific Enhanced Dynamic Emotion Experts. CVPR Yiyang Fang, Wenke Huang, Guancheng Wan, Kehua Su, Mang Ye
2025	A*	`conf`	Energy-based Backdoor Defense Against Federated Graph Learning. ICLR Guancheng Wan, Zitong Shi, Wenke Huang, Guibin Zhang, Dacheng Tao, Mang Ye
2025	A*	`conf`	FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation. ICML Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye
2025	A*	`conf`	FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity. CVPR Zihan Tan, Guancheng Wan, Wenke Huang, He Li, Guibin Zhang, Carl Yang, Mang Ye
2025	A*	`conf`	Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation. ICML Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye
2025	A*	`conf`	Federated Recommendation with Explicitly Encoding Item Bias. AAAI Zhihao Wang, He Bai, Wenke Huang, Duantengchuan Li, Jian Wang, Bing Li
2025	A*	`conf`	GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention. ICML Jiaru Qian, Guancheng Wan, Wenke Huang, Guibin Zhang, Yuxin Wu, Bo Du, Mang Ye
2025	A*	`conf`	Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning. CVPR Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen
2025	J	`jnl`	Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning. CoRR Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen
2025	J	`jnl`	Gradient and Structure Consistency in Multimodal Emotion Recognition. IEEE Trans. Image Process. Qinghongya Shi, Mang Ye, Wenke Huang, Bo Du, Xiaofen Zong
2025	J	`jnl`	Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. CoRR Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye, Bo Du
2025	J	`jnl`	Kindle Federated Generalization With Domain Specialized and Invariant Knowledge. IEEE Trans. Inf. Forensics Secur. Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du
2025	A*	`conf`	Label-Free Backdoor Attacks in Vertical Federated Learning. AAAI Wei Shen, Wenke Huang, Guancheng Wan, Mang Ye
2025	A*	`conf`	Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning. ICML Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2025	J	`jnl`	Lightweight Federated Domain Generalization With Global-Local Contrastive Learning for Machine Fault Diagnosis. IEEE Internet Things J. Rui Wang, Weiguo Huang, Wenke Huang
2025	A*	`conf`	LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. CVPR Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye
2025	J	`jnl`	LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. CoRR Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye
2025	J	`jnl`	MAPO: Mixed Advantage Policy Optimization. CoRR Wenke Huang, Quan Zhang, Yiyang Fang, Jian Liang, Xuankun Rong, Huanjin Yao, Guancheng Wan, Ke Liang, Wenwen He, Mingjun Li, Leszek Rutkowski, Mang Ye, Bo Du, Dacheng Tao
2025	A*	`conf`	Pixel-wise Divide and Conquer for Federated Vessel Segmentation. IJCAI Tian Chen, Wenke Huang, Zhihao Wang, Zekun Shi, He Li, Wenhui Dong, Mang Ye, Bo Du, Yongchao Xu
2025	A*	`conf`	Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID. ACM Multimedia Xin Xu, Chaoyue Ren, Wei Liu, Wenke Huang, Bin Yang, Zhixi Yu, Kui Jiang
2025	J	`jnl`	Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID. CoRR Xin Xu, Chaoyue Ren, Wei Liu, Wenke Huang, Bin Yang, Zhixi Yu, Kui Jiang
2025	J	`jnl`	Privacy-Enhancing Paradigms within Federated Multi-Agent Systems. CoRR Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, Jiawei Shao, Mang Ye, Carl Yang
2025	J	`jnl`	RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation. CoRR XueTao Li, Wenke Huang, Nengyuan Pan, Kaiyan Zhao, Songhua Yang, Yiming Wang, Mengde Li, Mang Ye, Jifeng Xuan, Miao Li
2025	J	`jnl`	ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving. CoRR Xianda Guo, Ruijun Zhang, Yiqun Duan, Ruilin Wang, Keyuan Zhou, Wenzhao Zheng, Wenke Huang, Gangwei Xu, Mike Horton, Yuan Si, Hao Zhao, Long Chen
2025	J	`jnl`	Revisiting federated learning with label skew: an over-confidence perspective. Sci. China Inf. Sci. Mang Ye, Wenke Huang, Zekun Shi, He Li, Bo Du
2025	A*	`conf`	S2FGL: Spatial Spectral Federated Graph Learning. ICML Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye
2025	J	`jnl`	S2FGL: Spatial Spectral Federated Graph Learning. CoRR Zihan Tan, Suyuan Huang, Guancheng Wan, Wenke Huang, He Li, Mang Ye
2025	A*	`conf`	SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution. ICML Wenwen He, Wenke Huang, Bin Yang, Shukan Liu, Mang Ye
2025	J	`jnl`	SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization. CoRR Xuankun Rong, Wenke Huang, Tingfeng Wang, Daiguo Zhou, Bo Du, Mang Ye
2025	J	`jnl`	Self-knowledge distillation with dimensional history knowledge. Sci. China Inf. Sci. Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du
2025	A*	`conf`	Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models. ICML Yangxu Liao, Wenke Huang, Guancheng Wan, Jian Liang, Bin Yang, Mang Ye
2025	J	`jnl`	ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation. CoRR Jian Liang, Wenke Huang, Xianda Guo, Guancheng Wan, Bo Du, Mang Ye
2024	A*	`conf`	Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity. CVPR Yuhang Chen, Wenke Huang, Mang Ye
2024	J	`jnl`	Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity. CoRR Yuhang Chen, Wenke Huang, Mang Ye
2024	A*	`conf`	FedAS: Bridging Inconsistency in Personalized Federated Learning. CVPR Xiyuan Yang, Wenke Huang, Mang Ye
2024	A*	`conf`	FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference. NeurIPS Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye
2024	J	`jnl`	FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference. CoRR Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye
2024	A*	`conf`	Federated Graph Learning under Domain Shift with Generalizable Prototypes. AAAI Guancheng Wan, Wenke Huang, Mang Ye
2024	J	`jnl`	Federated Graph Semantic and Structural Learning. CoRR Wenke Huang, Guancheng Wan, Mang Ye, Bo Du
2024	J	`jnl`	Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification. IEEE Trans. Inf. Forensics Secur. Wenke Huang, Yuxia Liu, Mang Ye, Jun Chen, Bo Du
2024	J	`jnl`	Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang
2024	—	`conf`	Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning. ECCV (15) Wenke Huang, Mang Ye, Zekun Shi, Bo Du, Dacheng Tao
2024	J	`jnl`	Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. IEEE Trans. Pattern Anal. Mach. Intell. Wenke Huang, Mang Ye, Zekun Shi, Bo Du
2024	J	`jnl`	Label-Aware Calibration and Relation-Preserving in Visual Intention Understanding. IEEE Trans. Image Process. Qinghongya Shi, Mang Ye, Wenke Huang, Weijian Ruan, Bo Du
2024	J	`jnl`	Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. CoRR Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2024	A*	`conf`	Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning. NeurIPS Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du
2024	A*	`conf`	Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling. ACM Multimedia Wei Shen, Mang Ye, Wenke Huang
2024	A*	`conf`	S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. ICML Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye
2024	A*	`conf`	Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning. ICML Wenke Huang, Zekun Shi, Mang Ye, He Li, Bo Du
2023	A*	`conf`	Dynamic Personalized Federated Learning with Adaptive Differential Privacy. NeurIPS Xiyuan Yang, Wenke Huang, Mang Ye
2023	A*	`conf`	Federated Graph Semantic and Structural Learning. IJCAI Wenke Huang, Guancheng Wan, Mang Ye, Bo Du
2023	J	`jnl`	Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark. CoRR Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang
2023	J	`jnl`	Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning. CoRR Wenke Huang, Mang Ye, Zekun Shi, Bo Du
2023	A*	`conf`	Rethinking Federated Learning with Domain Shift: A Prototype View. CVPR Wenke Huang, Mang Ye, Zekun Shi, He Li, Bo Du
2022	A*	`conf`	Few-Shot Model Agnostic Federated Learning. ACM Multimedia Wenke Huang, Mang Ye, Bo Du, Xiang Gao
2022	A*	`conf`	Learn from Others and Be Yourself in Heterogeneous Federated Learning. CVPR Wenke Huang, Mang Ye, Bo Du