Jingwei Sun - RankMe

45 papers A* 12A 2B 1Misc 3Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training. CoRR Yuhan Cheng, Hancheng Ye, Hai Helen Li, Jingwei Sun, Yiran Chen
2025	J	`jnl`	Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing. CoRR Yudong Liu, Jingwei Sun, Yueqian Lin, Jingyang Zhang, Ming Yin, Qinsi Wang, Jianyi Zhang, Hai Li, Yiran Chen
2025	J	`jnl`	LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning. CoRR Yudong Liu, Spencer Hallyburton, JiWoo Kim, Yueqian Lin, Yiming Li, Qinsi Wang, Hui Ye, Jingwei Sun, Miroslav Pajic, Yiran Chen, Hai Li
2025	A*	`conf`	Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models. ICLR Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao (Frank) Yang, Hai Li
2025	J	`jnl`	Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. CoRR Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu
2025	A*	`conf`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. ICLR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025	J	`jnl`	Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility. CoRR Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li
2025	A*	`conf`	SADA: Stability-guided Adaptive Diffusion Acceleration. ICML Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li
2025	J	`jnl`	SADA: Stability-guided Adaptive Diffusion Acceleration. CoRR Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li
2025	A	`conf`	SpeechPrune: Context-Aware Token Pruning for Speech Information Retrieval. ICME Yueqian Lin, Yuzhe Fu, Jingyang Zhang, Yudong Liu, Jianyi Zhang, Jingwei Sun, Hai Helen Li, Yiran Chen
2024	J	`jnl`	A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. CoRR Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao (Frank) Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen
2024	—	`conf`	Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices. ISVLSI Minxue Tang, Jingwei Sun, Hai Helen Li, Yiran Chen
2024	A*	`conf`	FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. ICML Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth
2024	A*	`conf`	Federated Black-box Prompt Tuning System for Large Language Models on the Edge. MobiCom Yiming Li, Jingwei Sun, Yudong Liu, Yuandong Zhang, Ang Li, Beidi Chen, Holger R. Roth, Daguang Xu, Tingjun Chen, Yiran Chen
2024	J	`jnl`	Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback. CoRR Jingwei Sun, Zhixu Du, Yiran Chen
2024	J	`jnl`	LoBAM: LoRA-Based Backdoor Attack on Model Merging. CoRR Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Li, Yiran Chen
2024	J	`jnl`	Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models. CoRR Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Helen Li
2024	B	`conf`	PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. IEEE Big Data Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen
2024	A*	`conf`	Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference. NeurIPS Lin Duan, Jingwei Sun, Jinyuan Jia, Yiran Chen, Maria Gorlatova
2024	—	`conf`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen
2024	J	`jnl`	SpeechPrune: Context-aware Token Pruning for Speech Information Retrieval. CoRR Yueqian Lin, Yuzhe Fu, Jingyang Zhang, Yudong Liu, Jianyi Zhang, Jingwei Sun, Hai, Yiran Chen
2024	—	`conf`	Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. ECCV (78) Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen
2023	A*	`conf`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	J	`jnl`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	A*	`conf`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2023	J	`jnl`	FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth
2023	A	`conf`	Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. ICCAD Bokyung Kim, Zhixu Du, Jingwei Sun, Yiran Chen
2023	J	`jnl`	PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information. CoRR Lin Duan, Jingwei Sun, Yiran Chen, Maria Gorlatova
2023	J	`jnl`	Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. CoRR Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen
2023	J	`jnl`	SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen
2023	J	`jnl`	Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. CoRR Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen
2022	J	`jnl`	Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
2022	A*	`conf`	FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen
2022	Misc	`conf`	FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen
2022	J	`jnl`	More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen
2022	—	`conf`	Next Generation Federated Learning for Edge Devices: An Overview. CIC Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen
2022	J	`jnl`	Rethinking Normalization Methods in Federated Learning. CoRR Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen
2021	A*	`conf`	FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. NeurIPS Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li
2021	J	`jnl`	FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective. CoRR Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li
2021	Misc	`conf`	FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking. SenSys Ang Li, Jingwei Sun, Xiao Zeng, Mi Zhang, Hai Li, Yiran Chen
2021	A*	`conf`	Hermes: an efficient federated learning framework for heterogeneous mobile clients. MobiCom Ang Li, Jingwei Sun, Pengcheng Li, Yu Pu, Hai Li, Yiran Chen
2021	Misc	`conf`	LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning. SEC Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
2021	A*	`conf`	Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
2020	J	`jnl`	LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets. CoRR Ang Li, Jingwei Sun, Binghui Wang, Lin Duan, Sicheng Li, Yiran Chen, Hai Li
2020	J	`jnl`	Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen