Li Shen

480 papers A* 108A 5B 1Misc 1Journal 354Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments.
CoRR
Ziyang Gong, Zehang Luo, Anke Tang, Zhe Liu, Shi Fu, Zhi Hou, Ganlin Yang, Weiyun Wang, Xiaofeng Wang, Jianbo Liu, Gen Luo, Haolan Kang, Shuang Luo, Yue Zhou, Yong Luo, Li Shen, Xiaosong Jia, Yao Mu, Xue Yang, Chunxiao Liu, Junchi Yan, Hengshuang Zhao, Dacheng Tao, Xiaogang Wang
2026 J jnl
Adaptive Batch Size Time Evolving Stochastic Gradient Descent for Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Xuming An, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2026 J jnl
Advancing Adaptive Multi-Stage Video Anomaly Reasoning: A Benchmark Dataset and Method.
CoRR
Chao Huang, Benfeng Wang, Wei Wang, Jie Wen, Li Shen, Wenqi Ren, Yong Xu, Xiaochun Cao
2026 J jnl
Communication Learning in Multi-Agent Systems From Graph Modeling Perspective.
IEEE Trans. Knowl. Data Eng.
Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Dacheng Tao
2026 J jnl
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning.
Trans. Mach. Learn. Res.
Mingyu Cao, Gen Li, Jie Ji, Jiaqi Zhang, Ajay Jaiswal, Li Shen, Xiaolong Ma, Shiwei Liu, Lu Yin
2026 J jnl
Decentralized Partial Model Personalization With Guaranteed Nonconvex Convergence.
IEEE Trans. Netw.
Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Xueqian Wang, Li Shen, Xiaochun Cao, Dacheng Tao
2026 J jnl
EEformer: Early Exiting for Transformer With Global-Local Exits and Progressive Fine-Tuning.
IEEE Trans. Multim.
Guanyu Xu, Jiawei Hao, Yong Luo, Li Shen, Han Hu, Dan Zeng
2026 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2026 J jnl
FreeStyle: Free lunch for text-guided style transfer using diffusion models.
Pattern Recognit.
Feihong He, Gang Li, Fuhui Sun, Mengyuan Zhang, Lingyu Si, Xiaoyan Wang, Li Shen
2026 J jnl
Instructed Diffuser With Temporal Condition Guidance for Offline Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2026 J jnl
Language-based Trial and Error Falls Behind in the Era of Experience.
CoRR
Haoyu Wang, Guozheng Ma, Shugang Cui, Yilun Kong, Haotian Luo, Li Shen, Mengya Gao, Yichao Wu, Xiaogang Wang, Dacheng Tao
2026 J jnl
LightMoE: Reducing Mixture-of-Experts Redundancy through Expert Replacing.
CoRR
Jiawei Hao, Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng
2026 J jnl
Mitigating Safety Tax via Distribution-Grounded Refinement in Large Reasoning Models.
CoRR
Yingsha Xie, Tiansheng Huang, Enneng Yang, Rui Min, Wenjie Lu, Xiaochun Cao, Naiqiang Tan, Li Shen
2026 J jnl
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications, and Opportunities.
ACM Comput. Surv.
Enneng Yang, Li Shen, Guibing Guo, Xing-wei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2026 J jnl
Probability-Guided Contrastive Learning for Long-Tailed Domain Generalization.
IEEE Trans. Big Data
Mengzhu Wang, Houcheng Su, Shanshan Wang, Nan Yin, Long Lan, Liang Yang, Li Shen
2026 J jnl
Prodigal: Backdoor defense for federated learning beyond robust aggregation.
Knowl. Based Syst.
Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Xiumin Wang, Li Shen
2026 J jnl
Prompt tuning with preference ranking for few-shot pre-trained decision transformer.
Sci. China Inf. Sci.
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
2026 J jnl
Reason-IAD: Knowledge-Guided Dynamic Latent Reasoning for Explainable Industrial Anomaly Detection.
CoRR
Peng Chen, Chao Huang, Yunkang Cao, Chengliang Liu, Wenqiang Wang, Mingbo Yang, Li Shen, Wenqi Ren, Xiaochun Cao
2026 J jnl
Release the Potential of Memory Buffer in Continual Learning: A Dynamic System Perspective.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyi Wang, Li Shen, Tiehang Duan, Yanjun Zhu, Tongliang Liu, Mingchen Gao, Dacheng Tao
2026 J jnl
Sparse Layer Sharpness-Aware Minimization for Efficient Fine-Tuning.
CoRR
Yifei Cheng, Xianglin Yang, Guoxia Wang, Chao Huang, Fei Ma, Dianhai Yu, Xiaochun Cao, Li Shen
2026 J jnl
Stability and Generalization of Push-Sum Based Decentralized Optimization over Directed Graphs.
CoRR
Yifei Liang, Yan Sun, Xiaochun Cao, Li Shen
2026 J jnl
Subspace based Federated Unlearning.
Trans. Mach. Learn. Res.
Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao
2026 J jnl
Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink.
CoRR
Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Xiumin Wang, Li Shen
2026 J jnl
Task-Distributionally Robust Data-Free Meta-Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2026 J jnl
Teleportation: Defense Against Stealing Attacks of Data-Driven Healthcare APIs.
IEEE Trans. Artif. Intell.
Tiehang Duan, Zhenyi Wang, Li Shen, Siyu Luan, Fang Li, Gianfranco Doretto, Donald A. Adjeroh, Shuteng Niu, Jianfu Li, Cui Tao
2026 J jnl
Toward Understanding Generalization and Stability Gaps Between Centralized and Decentralized Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yan Sun, Li Shen, Dacheng Tao
2026 J jnl
Towards understanding memory buffer based continual learning.
Neural Networks
Guodong Zheng, Peng Wang, Tao Sun, Li Shen
2026 J jnl
Understanding Model Merging: A Unified Generalization Framework for Heterogeneous Experts.
CoRR
Qinglun Li, Anke Tang, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen
2026 J jnl
Who Deserves the Reward? SHARP: Shapley Credit-based Optimization for Multi-Agent System.
CoRR
Yanming Li, Xuelin Zhang, Wenjie Lu, Ziye Tang, Maodong Wu, Haotian Luo, Tongtong Wu, Zijie Peng, Hongze Mi, Yibo Feng, Naiqiang Tan, Chao Huang, Hong Chen, Li Shen
2026 J jnl
Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2025 J jnl
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2025 J jnl
A Multi-Language Object-Oriented Programming Benchmark for Large Language Models.
CoRR
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Fu Lin
2025 J jnl
A Pyramid Fusion MLP for Dense Prediction.
IEEE Trans. Image Process.
Qiuyu Huang, Zequn Jie, Lin Ma, Li Shen, Shenqi Lai
2025 J jnl
A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.
CoRR
Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang
2025 J jnl
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning.
Int. J. Comput. Vis.
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
2025 J jnl
AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization.
CoRR
Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen
2025 J jnl
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler.
CoRR
Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao
2025 J jnl
AdaptiveFL: Communication-Adaptive Federated Learning Under Dynamic Bandwidth.
IEEE Trans. Neural Networks Learn. Syst.
Guozhi Liu, Weiwei Lin, Tiansheng Huang, Fang Shi, Wentai Wu, Li Shen
2025 J jnl
Aligning Text-to-Image Diffusion Models With Constrained Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziyi Zhang, Sen Zhang, Li Shen, Yibing Zhan, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 J jnl
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs.
CoRR
Di He, Ajay Jaiswal, Songjun Tu, Li Shen, Ganzhao Yuan, Shiwei Liu, Lu Yin
2025 J jnl
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
Are Large Language Models Really Robust to Word-Level Perturbations?
Trans. Mach. Learn. Res.
Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao
2025 J jnl
Asymmetrically Decentralized Federated Learning.
IEEE Trans. Computers
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen, Xiaochun Cao
2025 J jnl
Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning.
CoRR
Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong
2025 J jnl
Building accurate translation-tailored large language models with language-aware instruction tuning.
Frontiers Inf. Technol. Electron. Eng.
Changtong Zan, Liang Ding, Li Shen, Yibing Zhan, Xinghao Yang, Weifeng Liu
2025 J jnl
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning.
CoRR
Biao Yi, Tiansheng Huang, Baolei Zhang, Tong Li, Lihai Nie, Zheli Liu, Li Shen
2025 J jnl
CoFormer: Collaborating With Heterogeneous Edge Devices for Scalable Transformer Inference.
IEEE Trans. Computers
Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen
2025 J jnl
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference.
CoRR
Guanyu Xu, Zhiwei Hao, Li Shen, Yong Luo, Fuhui Sun, Xiaoyan Wang, Han Hu, Yonggang Wen
2025 J jnl
Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance.
Eng. Appl. Artif. Intell.
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu
2025 J jnl
Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection.
CoRR
Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang
2025 A* conf
Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection.
ICLR
Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang
2025 J jnl
Communication-efficient distributed learning with Local Immediate Error Compensation.
Neural Networks
Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen
2025 J jnl
Consistent Estimation of Numerical Distributions under Local Differential Privacy by Wavelet Expansion.
CoRR
Puning Zhao, Zhikun Zhang, Bo Sun, Li Shen, Liang Zhang, Shaowei Wang, Zhe Liu
2025 J jnl
Constraint Boundary Wandering Framework: Enhancing Constrained Optimization With Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuang Wu, Shixiang Chen, Li Shen, Lefei Zhang, Dacheng Tao
2025 A* conf
Contextual Bandits for Unbounded Context Distributions.
ICML
Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng
2025 J jnl
Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal.
IEEE Trans. Neural Networks Learn. Syst.
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval.
IEEE Trans. Image Process.
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 J jnl
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval.
CoRR
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 J jnl
DFedADMM: Dual Constraint Controlled Model Inconsistency for Decentralize Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao
2025 J jnl
DFedGFM: Pursuing global consistency for Decentralized Federated Learning via global flatness and global momentum.
Neural Networks
Qinglun Li, Miao Zhang, Tao Sun, Quanjun Yin, Li Shen
2025 J jnl
DGL-GAN: discriminator-guided GAN compression.
Vis. Comput.
Yuesong Tian, Li Shen, Xiang Tian, Dacheng Tao, Zhifeng Li, Wei Liu, Yaowu Chen
2025 J jnl
DREAM: A Dual Variational Framework for Unsupervised Graph Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Nan Yin, Li Shen, Mengzhu Wang, Xinwang Liu, Chong Chen, Xian-Sheng Hua
2025 J jnl
Data-Adaptive Weight-Ensembling for Multi-task Model Fusion.
Int. J. Comput. Vis.
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du, Dacheng Tao
2025 J jnl
Decision Flow Policy Optimization.
CoRR
Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao
2025 A* conf
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making.
ICML
Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao
2025 J jnl
Diffusion Language Models Know the Answer Before Decoding.
CoRR
Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Yi Liang, Soroush Vosoughi, Shiwei Liu
2025 A* conf
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models.
AAAI
Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao
2025 A* conf
Dynamic Analysis and Adaptive Discriminator for Fake News Detection.
ACM Multimedia
Xinqi Su, Zitong Yu, Yawen Cui, Ajian Liu, Xun Lin, Yuhao Wang, Haochen Liang, Wenhui Li, Li Shen, Xiaochun Cao
2025 A* conf
Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense.
ICLR
Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao
2025 — conf
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs.
EMNLP (Findings)
Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding
2025 J jnl
EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models.
CoRR
Botai Yuan, Yutian Zhou, Yingjie Wang, Fushuo Huo, Yongcheng Jing, Li Shen, Ying Wei, Zhiqi Shen, Ziwei Liu, Tianwei Zhang, Jie Yang, Dacheng Tao
2025 — conf
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs.
ACL (Findings)
Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025 J jnl
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs.
CoRR
Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025 J jnl
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives.
CoRR
Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao
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
Enhancing column generation by reinforcement learning-based hyper-heuristic for vehicle routing and scheduling problems.
Comput. Ind. Eng.
Kuan Xu, Li Shen, Lindong Liu
2025 J jnl
Federated Learning With Only Positive Labels by Exploring Label Correlations.
IEEE Trans. Neural Networks Learn. Syst.
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 J jnl
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion.
J. Mach. Learn. Res.
Anke Tang, Li Shen, Yong Luo, Enneng Yang, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2025 J jnl
GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching.
CoRR
Guinan Su, Li Shen, Lu Yin, Shiwei Liu, Yanwu Yang, Jonas Geiping
2025 J jnl
Graph Convolutional Mixture-of-Experts Learner Network for Long-Tailed Domain Generalization.
IEEE Trans. Circuits Syst. Video Technol.
Mengzhu Wang, Houcheng Su, Sijia Wang, Shanshan Wang, Nan Yin, Li Shen, Long Lan, Liang Yang, Xiaochun Cao
2025 J jnl
Graph decision transformer for offline reinforcement learning.
Sci. China Inf. Sci.
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
2025 A* conf
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation.
ICML
Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo
2025 J jnl
HRP: High-Rank Preheating for Superior LoRA Initialization.
CoRR
Yuzhu Chen, Yingjie Wang, Shi Fu, Li Shen, Yongcheng Jing, Xinmei Tian, Dacheng Tao
2025 J jnl
Hindsight Distillation Reasoning with Knowledge Encouragement Preference for Knowledge-based Visual Question Answering.
CoRR
Yu Zhao, Ying Zhang, Xuhui Sui, Baohang Zhou, Li Shen, Dacheng Tao
2025 J jnl
Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion.
CoRR
Ying Zhang, Yu Zhao, Xuhui Sui, Baohang Zhou, Xiangrui Cai, Li Shen, Xiaojie Yuan, Dacheng Tao
2025 A* conf
Hypernetwork Aggregation for Decentralized Personalized Federated Learning.
IJCAI
Weishi Li, Yong Peng, Mengyao Du, Fuhui Sun, Xiaoyan Wang, Li Shen
2025 A* conf
Investigating the Role of Weight Decay in Enhancing Nonconvex SGD.
CVPR
Tao Sun, Yuhao Huang, Li Shen, Kele Xu, Bao Wang
2025 J jnl
Joint Selection for Large-Scale Pre-Training Data via Policy Gradient-based Mask Learning.
CoRR
Ziqing Fan, Yuqiao Xian, Yan Sun, Li Shen
2025 J jnl
LOST: Low-rank and Sparse Pre-training for Large Language Models.
CoRR
Jiaxi Li, Lu Yin, Li Shen, Jinjin Xu, Liwu Xu, Tianjin Huang, Wenwu Wang, Shiwei Liu, Xilu Wang
2025 J jnl
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation.
CoRR
Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
2025 J jnl
Learning from models beyond fine-tuning.
Nat. Mac. Intell.
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 J jnl
Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis for Large Reasoning Models.
CoRR
Yongxian Wei, Yilin Zhao, Li Shen, Xinrui Chen, Runxi Cheng, Sinan Du, Hao Yu, Gang Liu, Jiahong Yan, Chun Yuan, Dian Li
2025 J jnl
Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment.
CoRR
Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Minhao Cheng, Dacheng Tao
2025 J jnl
LightSAM: Parameter-Agnostic Sharpness-Aware Minimization.
CoRR
Yifei Cheng, Li Shen, Hao Sun, Nan Yin, Xiaochun Cao, Enhong Chen
2025 A* conf
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs.
CVPR
Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao
2025 J jnl
Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Guoxia Wang, Dianhai Yu, Yonggang Wen, Dacheng Tao
2025 J jnl
MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval.
CoRR
Rong-Cheng Tu, Zhao Jin, Jingyi Liao, Xiao Luo, Yingjie Wang, Li Shen, Dacheng Tao
2025 A* conf
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More.
ICML
Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu
2025 J jnl
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More.
CoRR
Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu
2025 J jnl
MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on Large Language Models.
CoRR
Yan Sun, Qixin Zhang, Zhiyuan Yu, Xikun Zhang, Li Shen, Dacheng Tao
2025 A* conf
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer.
ICML
Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao
2025 J jnl
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer.
CoRR
Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao
2025 J jnl
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging.
CoRR
Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2025 A* conf
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.
ICLR
Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
2025 J jnl
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging.
CoRR
Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
2025 J jnl
Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing.
CoRR
Zihao Wang, Enneng Yang, Lu Yin, Shiwei Liu, Li Shen
2025 A* conf
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.
ICML
Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao
2025 J jnl
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.
CoRR
Yongxian Wei, Anke Tang, Li Shen, Chun Yuan, Xiaochun Cao
2025 J jnl
Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval.
CoRR
Rong-Cheng Tu, Wenhao Sun, Hanzhe You, Yingjie Wang, Jiaxing Huang, Li Shen, Dacheng Tao
2025 A* conf
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints.
ICML
Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao
2025 A* conf
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency.
ICLR
Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao
2025 J jnl
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency.
CoRR
Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao
2025 A* conf
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning.
ICML
Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao
2025 J jnl
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning.
CoRR
Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao
2025 J jnl
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning.
CoRR
Jiahua Lan, Sen Zhang, Haixia Pan, Ruijun Liu, Li Shen, Dacheng Tao
2025 J jnl
O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning.
CoRR
Haotian Luo, Li Shen, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Naiqiang Tan, Xiaochun Cao, Dacheng Tao
2025 J jnl
On Efficient Training of Large-Scale Deep Learning Models.
ACM Comput. Surv.
Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao
2025 J jnl
On Nonconvex SGD Under Unbounded Noise With Weak Gradient Lipschitz and Delayed Stochastic Gradient.
IEEE Trans. Pattern Anal. Mach. Intell.
Tao Sun, Li Shen, Xinwang Liu
2025 J jnl
On Theoretical Limits of Learning with Label Differential Privacy.
CoRR
Puning Zhao, Chuan Ma, Li Shen, Shaowei Wang, Rongfei Fan
2025 A* conf
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation.
ICLR
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao
2025 A* conf
PEARL: Towards Permutation-Resilient LLMs.
ICLR
Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong
2025 J jnl
PEARL: Towards Permutation-Resilient LLMs.
CoRR
Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong
2025 J jnl
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation.
CoRR
Yibo Wang, Tiansheng Huang, Li Shen, Huanjin Yao, Haotian Luo, Rui Liu, Naiqiang Tan, Jiaxing Huang, Dacheng Tao
2025 J jnl
Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuning.
CoRR
Guozhi Liu, Qi Mu, Tiansheng Huang, Xinhua Wang, Li Shen, Weiwei Lin, Zhang Li
2025 A conf
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization.
AAMAS
Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao
2025 J jnl
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning.
Trans. Mach. Learn. Res.
Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2025 J jnl
R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search.
CoRR
Yibo Wang, Li Shen, Huanjin Yao, Tiansheng Huang, Rui Liu, Naiqiang Tan, Jiaxing Huang, Kai Zhang, Dacheng Tao
2025 J jnl
R1-ShareVL: Incentivizing Reasoning Capability of Multimodal Large Language Models via Share-GRPO.
CoRR
Huanjin Yao, Qixiang Yin, Jingyi Zhang, Min Yang, Yibo Wang, Wenhao Wu, Fei Su, Li Shen, Minghui Qiu, Dacheng Tao, Jiaxing Huang
2025 J jnl
Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing.
CoRR
Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025 J jnl
Refining Few-Step Text-to-Multiview Diffusion via Reinforcement Learning.
CoRR
Ziyi Zhang, Li Shen, Deheng Ye, Yong Luo, Huangxuan Zhao, Lefei Zhang
2025 J jnl
Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG.
CoRR
Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2025 A* conf
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG.
ICML
Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2025 J jnl
Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection.
IEEE Trans. Pattern Anal. Mach. Intell.
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xing-wei Wang, Dacheng Tao
2025 J jnl
Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation in Mixture-of-Expert models.
CoRR
Guinan Su, Yanwu Yang, Li Shen, Lu Yin, Shiwei Liu, Jonas Geiping
2025 — conf
Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA.
EMNLP (Findings)
Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025 J jnl
Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA.
CoRR
Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025 J jnl
Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption.
CoRR
Longxiang He, Deheng Ye, Junbo Tan, Xueqian Wang, Li Shen
2025 A* conf
Safety Reasoning with Guidelines.
ICML
Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng
2025 J jnl
ScaleNet: Scaling up Pretrained Neural Networks With Incremental Parameters.
IEEE Trans. Image Process.
Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang
2025 J jnl
ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang
2025 J jnl
SeWA: Selective Weight Average via Probabilistic Masking.
CoRR
Peng Wang, Shengchao Hu, Zerui Tao, Guoxia Wang, Dianhai Yu, Li Shen, Quan Zheng, Dacheng Tao
2025 J jnl
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets.
IEEE Trans. Mob. Comput.
Xingrun Yan, Shiyuan Zuo, Rongfei Fan, Han Hu, Li Shen, Puning Zhao, Yong Luo
2025 J jnl
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications.
CoRR
Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao
2025 J jnl
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam.
CoRR
Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu
2025 J jnl
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer.
IEEE Trans. Pattern Anal. Mach. Intell.
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Tianshuo Xu, Xiaoshuai Sun, Tongliang Liu, Rongrong Ji, Dacheng Tao
2025 A* conf
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision.
ICML
Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao
2025 J jnl
Targeted Vaccine: Safety Alignment for Large Language Models Against Harmful Fine-Tuning via Layer-Wise Perturbation.
IEEE Trans. Inf. Forensics Secur.
Guozhi Liu, Weiwei Lin, Qi Mu, Tiansheng Huang, Ruichao Mo, Yuren Tao, Li Shen
2025 J jnl
TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs.
CoRR
Yan Sun, Tiansheng Huang, Liang Ding, Li Shen, Dacheng Tao
2025 J jnl
Toward Understanding the Generalizability of Delayed Stochastic Gradient Descent.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao
2025 J jnl
Toward the Flatter Landscape and Better Generalization in Federated Learning Under Client-Level Differential Privacy.
IEEE Trans. Pattern Anal. Mach. Intell.
Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao
2025 J jnl
TrojanTO: Action-Level Backdoor Attacks against Trajectory Optimization Models.
CoRR
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Xiaochun Cao, Shouling Ji, Jiaheng Zhang, Jin-Cai Huang, Li Shen
2025 J jnl
UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios.
CoRR
Haotian Luo, Huaisong Zhang, Xuelin Zhang, Haoyu Wang, Zeyu Qin, Wenjie Lu, Guozheng Ma, Haiying He, Yingsha Xie, Qiyang Zhou, Zixuan Hu, Hongze Mi, Yibo Wang, Naiqiang Tan, Hong Chen, Yi R. Fung, Chun Yuan, Li Shen
2025 A* conf
Understanding the Stability-based Generalization of Personalized Federated Learning.
ICLR
Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao
2025 J jnl
Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging.
CoRR
Yongxian Wei, Runxi Cheng, Weike Jin, Enneng Yang, Li Shen, Lu Hou, Sinan Du, Chun Yuan, Xiaochun Cao, Dacheng Tao
2025 J jnl
Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training.
CoRR
Qinglun Li, Yingqi Liu, Miao Zhang, Xiaochun Cao, Quanjun Yin, Li Shen
2025 J jnl
Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought.
CoRR
Chao Huang, Benfeng Wang, Jie Wen, Chengliang Liu, Wei Wang, Li Shen, Xiaochun Cao
2025 A* conf
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning.
ICML
Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong
2025 J jnl
Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning.
CoRR
Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong
2025 J jnl
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.
Int. J. Comput. Vis.
Zhuo Huang, Muyang Li, Li Shen, Jun Yu, Chen Gong, Bo Han, Tongliang Liu
2025 J jnl
Zero Token-Driven Deep Thinking in LLMs: Unlocking the Full Potential of Existing Parameters via Cyclic Refinement.
CoRR
Guanghao Li, Wenhao Jiang, Li Shen, Ming Tang, Chun Yuan
2024 J jnl
(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork.
CoRR
Tianjin Huang, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Shiwei Liu, Tianlong Chen
2024 J jnl
A General and Efficient Federated Split Learning with Pre-trained Image Transformers for Heterogeneous Data.
CoRR
Yifan Shi, Yuhui Zhang, Ziyue Huang, Xiaofeng Yang, Li Shen, Wei Chen, Xueqian Wang
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
A Unified Analysis for Finite Weight Averaging.
CoRR
Peng Wang, Li Shen, Zerui Tao, Yan Sun, Guodong Zheng, Dacheng Tao
2024 J jnl
A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration.
IEEE Trans. Neural Networks Learn. Syst.
Li Shen, Congliang Chen, Fangyu Zou, Zequn Jie, Ju Sun, Wei Liu
2024 A* conf
A Unified and General Framework for Continual Learning.
ICLR
Zhenyi Wang, Yan Li, Li Shen, Heng Huang
2024 J jnl
A Unified and General Framework for Continual Learning.
CoRR
Zhenyi Wang, Yan Li, Li Shen, Heng Huang
2024 A* conf
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs.
NeurIPS
Yan Sun, Li Shen, Dacheng Tao
2024 J jnl
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs.
CoRR
Yan Sun, Li Shen, Dacheng Tao
2024 J jnl
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning.
CoRR
Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen
2024 J jnl
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation.
CoRR
Houcheng Su, Mengzhu Wang, Jiao Li, Nan Yin, Liang Yang, Li Shen
2024 A* conf
AdaMerging: Adaptive Model Merging for Multi-Task Learning.
ICLR
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024 J jnl
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks.
Neural Networks
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2024 J jnl
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization.
CoRR
Longxiang He, Li Shen, Junbo Tan, Xueqian Wang
2024 J jnl
Aligning Few-Step Diffusion Models with Dense Reward Difference Learning.
CoRR
Ziyi Zhang, Li Shen, Sen Zhang, Deheng Ye, Yong Luo, Miaojing Shi, Bo Du, Dacheng Tao
2024 J jnl
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration.
CoRR
Qinglun Li, Miao Zhang, Yingqi Liu, Quanjun Yin, Li Shen, Xiaochun Cao
2024 J jnl
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning.
CoRR
Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao
2024 J jnl
Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets.
CoRR
Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Li Shen, Puning Zhao, Jie Xu, Han Hu
2024 J jnl
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
ACM Trans. Multim. Comput. Commun. Appl.
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2024 J jnl
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective.
CoRR
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
2024 J jnl
Communication-Efficient Distributed Learning with Local Immediate Error Compensation.
CoRR
Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen
2024 J jnl
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.
CoRR
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2024 J jnl
Continual Learning From a Stream of APIs.
IEEE Trans. Pattern Anal. Mach. Intell.
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024 J jnl
Continual Task Learning through Adaptive Policy Self-Composition.
CoRR
Shengchao Hu, Yuhang Zhou, Ziqing Fan, Jifeng Hu, Li Shen, Ya Zhang, Dacheng Tao
2024 J jnl
Continuous Spiking Graph Neural Networks.
CoRR
Nan Yin, Mengzhu Wang, Li Shen, Hitesh Laxmichand Patel, Baopu Li, Bin Gu, Huan Xiong
2024 J jnl
Convergent Differential Privacy Analysis for General Federated Learning: the f-DP Perspective.
CoRR
Yan Sun, Li Shen, Dacheng Tao
2024 A* conf
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.
ICLR
Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo
2024 A* conf
Decentralized Directed Collaboration for Personalized Federated Learning.
CVPR
Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen
2024 J jnl
Decentralized Directed Collaboration for Personalized Federated Learning.
CoRR
Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen
2024 A* conf
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization.
NeurIPS
Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao
2024 J jnl
DiM:
CoRR
Bingli Wang, Houcheng Su, Nan Yin, Mengzhu Wang, Li Shen
2024 A conf
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
ECAI
Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
2024 J jnl
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models.
CoRR
Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Dacheng Tao
2024 J jnl
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion.
CoRR
Li Shen, Tianqi Liu, Huiqiang Sun, Xinyi Ye, Baopu Li, Jianming Zhang, Zhiguo Cao
2024 J jnl
Dynamic PDGAN: discriminator-boosted knowledge distillation for StyleGANs.
J. Electronic Imaging
Yuesong Tian, Li Shen, Xiang Tian, Zhifeng Li, Yaowu Chen
2024 J jnl
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs.
CoRR
Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding
2024 J jnl
Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing.
IEEE Trans. Mob. Comput.
Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo
2024 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
CoRR
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2024 A* conf
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld.
CVPR
Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
2024 J jnl
Exploring the Generalization Capabilities of AID-based Bi-level Optimization.
CoRR
Congliang Chen, Li Shen, Zhiqiang Xu, Wei Liu, Zhi-Quan Luo, Peilin Zhao
2024 J jnl
FREE: Faster and Better Data-Free Meta-Learning.
CoRR
Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao
2024 J jnl
Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo.
CoRR
Tianqi Liu, Guangcong Wang, Shoukang Hu, Li Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu
2024 J jnl
FedGAMMA: Federated Learning With Global Sharpness-Aware Minimization.
IEEE Trans. Neural Networks Learn. Syst.
Rong Dai, Xun Yang, Yan Sun, Li Shen, Xinmei Tian, Meng Wang, Yongdong Zhang
2024 J jnl
Federated Learning with Only Positive Labels by Exploring Label Correlations.
CoRR
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2024 A* conf
Free: Faster and Better Data-Free Meta-Learning.
CVPR
Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao
2024 J jnl
FusionBench: A Comprehensive Benchmark of Deep Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2024 A* conf
Generalization Analysis of Stochastic Weight Averaging with General Sampling.
ICML
Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao
2024 J jnl
Generalized Embedding Machines for Recommender Systems.
Mach. Intell. Res.
Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo
2024 A* conf
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.
ICML
Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
2024 J jnl
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.
CoRR
Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
2024 A* conf
Improving Non-Transferable Representation Learning by Harnessing Content and Style.
ICLR
Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
2024 A* conf
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.
EMNLP
Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024 J jnl
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.
CoRR
Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Kumar Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu
2024 A* conf
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
NeurIPS
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
2024 J jnl
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
CoRR
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
2024 J jnl
Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning.
CoRR
Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong
2024 J jnl
Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning.
IEEE Trans. Serv. Comput.
Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong
2024 A* conf
Learning Multi-Agent Communication from Graph Modeling Perspective.
ICLR
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
2024 J jnl
Learning Multi-Agent Communication from Graph Modeling Perspective.
CoRR
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
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
Local AdaGrad-type algorithm for stochastic convex-concave optimization.
Mach. Learn.
Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao
2024 J jnl
Master-Slave Deep Architecture for Top-K Multiarmed Bandits With Nonlinear Bandit Feedback and Diversity Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Hanchi Huang, Li Shen, Deheng Ye, Wei Liu
2024 A* conf
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
ICML
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 J jnl
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
CoRR
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 J jnl
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell.
Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo
2024 J jnl
Meta-Learning Without Data via Unconditional Diffusion Models.
IEEE Trans. Circuits Syst. Video Technol.
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Lei Li, Yu Li, Chun Yuan
2024 J jnl
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.
CoRR
Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
2024 J jnl
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.
CoRR
Enneng Yang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024 A* conf
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models.
IJCAI
Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He
2024 J jnl
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search.
CoRR
Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, Yuxin Song, Haocheng Feng, Li Shen, Dacheng Tao
2024 J jnl
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System.
ACM Trans. Knowl. Discov. Data
Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang
2024 A* conf
Neural Network Approximation for Pessimistic Offline Reinforcement Learning.
AAAI
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
2024 J jnl
Neural-aware Decoupling Fusion based Personalized Federated Learning for Intelligent Sensing.
ACM Trans. Sens. Networks
Yujia Gao, Li Shen, Liang Liu, Zijian Cao, Dacheng Tao, Huadong Ma, Nei Kato
2024 — conf
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models.
ACL (Findings)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2024 J jnl
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models.
CoRR
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2024 J jnl
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement.
CoRR
Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen
2024 J jnl
On Transforming Reinforcement Learning With Transformers: The Development Trajectory.
IEEE Trans. Pattern Anal. Mach. Intell.
Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao
2024 A* conf
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning.
CVPR
Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang
2024 A* conf
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.
ICLR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
2024 A* conf
PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation.
ACM Multimedia
Zhiwei Hao, Zhongyu Xiao, Yong Luo, Jianyuan Guo, Jing Wang, Li Shen, Han Hu
2024 J jnl
Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization.
CoRR
Shengchao Hu, Wanru Zhao, Weixiong Lin, Li Shen, Ya Zhang, Dacheng Tao
2024 A* conf
Q-value Regularized Transformer for Offline Reinforcement Learning.
ICML
Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
2024 J jnl
Q-value Regularized Transformer for Offline Reinforcement Learning.
CoRR
Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
2024 J jnl
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning.
CoRR
Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2024 J jnl
Quantum Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao
2024 A* conf
Representation Surgery for Multi-Task Model Merging.
ICML
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 J jnl
Representation Surgery for Multi-Task Model Merging.
CoRR
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 J jnl
Retain and Adapt: Online Sequential EEG Classification With Subject Shift.
IEEE Trans. Artif. Intell.
Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao
2024 J jnl
Revisiting Discrete Soft Actor-Critic.
Trans. Mach. Learn. Res.
Haibin Zhou, Tong Wei, Zichuan Lin, Junyou Li, Junliang Xing, Yuanchun Shi, Li Shen, Chao Yu, Deheng Ye
2024 — conf
Revisiting Knowledge Distillation for Autoregressive Language Models.
ACL (1)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
2024 J jnl
Revisiting Knowledge Distillation for Autoregressive Language Models.
CoRR
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
2024 A* conf
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.
ICLR
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
2024 J jnl
SGDA: Towards 3-D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.
IEEE Trans. Comput. Biol. Bioinform.
Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang
2024 J jnl
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.
CoRR
Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2024 J jnl
SPORT: A Subgraph Perspective on Graph Classification with Label Noise.
ACM Trans. Knowl. Discov. Data
Nan Yin, Li Shen, Chong Chen, Xiansheng Hua, Xiao Luo
2024 J jnl
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets.
CoRR
Xingrun Yan, Shiyuan Zuo, Rongfei Fan, Han Hu, Li Shen, Puning Zhao, Yong Luo
2024 A* conf
Sheared Backpropagation for Fine-Tuning Foundation Models.
CVPR
Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao
2024 J jnl
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models.
CoRR
Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
2024 J jnl
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.
CoRR
Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun
2024 J jnl
Solving Continual Offline Reinforcement Learning with Decision Transformer.
CoRR
Kaixin Huang, Li Shen, Chen Zhao, Chun Yuan, Dacheng Tao
2024 A* conf
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications.
ICML
Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao
2024 J jnl
Stability and Generalization for Distributed SGDA.
CoRR
Miaoxi Zhu, Yan Sun, Li Shen, Bo Du, Dacheng Tao
2024 J jnl
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping.
CoRR
Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
2024 J jnl
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery.
CoRR
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024 J jnl
Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise Perturbation.
CoRR
Guozhi Liu, Weiwei Lin, Tiansheng Huang, Ruichao Mo, Qi Mu, Li Shen
2024 A* conf
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models.
ICML
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao
2024 J jnl
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models.
CoRR
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao
2024 J jnl
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.
CoRR
Ziqing Fan, Shengchao Hu, Yuhang Zhou, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
2024 J jnl
Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.
CoRR
Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong
2024 J jnl
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du
2024 — conf
Training A Secure Model Against Data-Free Model Extraction.
ECCV (79)
Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao
2024 J jnl
USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding.
CoRR
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Zheng He, Wei Yu, Dacheng Tao
2024 A* conf
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense.
NeurIPS
Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
2024 J jnl
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense.
CoRR
Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
2024 J jnl
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs.
CoRR
Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao
2024 J jnl
Visual Prompt Based Personalized Federated Learning.
Trans. Mach. Learn. Res.
Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao
2024 A* conf
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge.
ACM Multimedia
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2024 J jnl
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge.
CoRR
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2024 A* conf
Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning.
CVPR
Ziming Hong, Li Shen, Tongliang Liu
2023 J jnl
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.
CoRR
Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2023 J jnl
AdaMerging: Adaptive Model Merging for Multi-Task Learning.
CoRR
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023 J jnl
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks.
CoRR
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2023 A* conf
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.
AAAI
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2023 A* conf
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.
NeurIPS
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
2023 A* conf
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning.
CVPR
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
2023 J jnl
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning.
CoRR
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
2023 A* conf
Are Large Kernels Better Teachers than Transformers for ConvNets?
ICML
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
2023 J jnl
Are Large Kernels Better Teachers than Transformers for ConvNets?
CoRR
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
2023 J jnl
Are Large Language Models Really Robust to Word-Level Perturbations?
CoRR
Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao
2023 J jnl
Asymmetrically Decentralized Federated Learning.
CoRR
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen
2023 J jnl
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.
CoRR
Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
2023 J jnl
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy.
CoRR
Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023 J jnl
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
CoRR
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2023 A* conf
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
ICML
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 J jnl
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
CoRR
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 J jnl
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao
2023 J jnl
Continual Learning From a Stream of APIs.
CoRR
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023 J jnl
Curriculum-Based Asymmetric Multi-Task Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanchi Huang, Deheng Ye, Li Shen, Wei Liu
2023 J jnl
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning.
CoRR
Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao
2023 A* conf
Data Augmented Flatness-aware Gradient Projection for Continual Learning.
ICCV
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
2023 J jnl
Deep Model Fusion: A Survey.
CoRR
Weishi Li, Yong Peng, Miao Zhang, Liang Ding, Han Hu, Li Shen
2023 A* conf
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.
NeurIPS
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
2023 J jnl
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol.
Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Wei Liu
2023 J jnl
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
2023 J jnl
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
CoRR
Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
2023 J jnl
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance.
Int. J. Comput. Vis.
Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen
2023 J jnl
Dynamic Contrastive Distillation for Image-Text Retrieval.
IEEE Trans. Multim.
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2023 A* conf
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape.
ICML
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
2023 J jnl
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape.
CoRR
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
2023 A* conf
Dynamic Sparsity Is Channel-Level Sparsity Learner.
NeurIPS
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
2023 J jnl
Dynamic Sparsity Is Channel-Level Sparsity Learner.
CoRR
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
2023 J jnl
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup.
IEEE Trans. Pattern Anal. Mach. Intell.
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
2023 J jnl
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup.
CoRR
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
2023 J jnl
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing.
CoRR
Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo
2023 J jnl
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models.
CoRR
Zihao Lin, Yan Sun, Yifan Shi, Xueqian Wang, Lifu Huang, Li Shen, Dacheng Tao
2023 J jnl
Efficient-Adam: Communication-Efficient Distributed Adam.
IEEE Trans. Signal Process.
Congliang Chen, Li Shen, Wei Liu, Zhi-Quan Luo
2023 J jnl
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld.
CoRR
Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
2023 J jnl
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.
CoRR
Yixing Liu, Yan Sun, Zhengtao Ding, Li Shen, Bo Liu, Dacheng Tao
2023 — conf
Enhancing Adversarial Training via Reweighting Optimization Trajectory.
ECML/PKDD (1)
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
2023 J jnl
Enhancing Adversarial Training via Reweighting Optimization Trajectory.
CoRR
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
2023 J jnl
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems.
CoRR
Kuan Xu, Li Shen, Lindong Liu
2023 J jnl
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization.
CoRR
Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023 A* conf
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization.
ICCV
Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023 A* conf
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks.
AAAI
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao
2023 A* conf
FedABC: Targeting Fair Competition in Personalized Federated Learning.
AAAI
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
2023 J jnl
FedABC: Targeting Fair Competition in Personalized Federated Learning.
CoRR
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
2023 J jnl
FedDAG: Federated DAG Structure Learning.
Trans. Mach. Learn. Res.
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2023 J jnl
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data.
CoRR
Hao Sun, Li Shen, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2023 A* conf
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy.
ICLR
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
2023 J jnl
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy.
CoRR
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
2023 A* conf
Federated Learning with Manifold Regularization and Normalized Update Reaggregation.
NeurIPS
Xuming An, Li Shen, Han Hu, Yong Luo
2023 J jnl
Federated Learning with Manifold Regularization and Normalized Update Reaggregation.
CoRR
Xuming An, Li Shen, Han Hu, Yong Luo
2023 A* conf
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning.
NeurIPS
Zhuo Huang, Li Shen, Jun Yu, Bo Han, Tongliang Liu
2023 J jnl
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning.
CoRR
Zhuo Huang, Li Shen, Jun Yu, Bo Han, Tongliang Liu
2023 J jnl
Fusion of Global and Local Knowledge for Personalized Federated Learning.
CoRR
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
2023 J jnl
Fusion of Global and Local Knowledge for Personalized Federated Learning.
Trans. Mach. Learn. Res.
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
2023 A* conf
Global Balanced Experts for Federated Long-Tailed Learning.
ICCV
Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu
2023 J jnl
Graph Decision Transformer.
CoRR
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
2023 A* conf
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style.
ICLR
Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
2023 J jnl
Hierarchical Detailed Intermediate Supervision for Image-to-Image Translation.
IEICE Trans. Inf. Syst.
Jianbo Wang, Hao-Zhi Huang, Li Shen, Xuan Wang, Toshihiko Yamasaki
2023 A* conf
Improving the Model Consistency of Decentralized Federated Learning.
ICML
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
2023 J jnl
Improving the Model Consistency of Decentralized Federated Learning.
CoRR
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
2023 J jnl
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2023 A* conf
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer.
ACM Multimedia
Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
2023 J jnl
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer.
CoRR
Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
2023 J jnl
Learn From Model Beyond Fine-Tuning: A Survey.
CoRR
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2023 A* conf
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning.
NeurIPS
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
2023 J jnl
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning.
CoRR
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
2023 — conf
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning.
CoLLAs
Shenao Zhang, Li Shen, Lei Han, Li Shen
2023 A* conf
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning.
ICML
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023 J jnl
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning.
CoRR
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023 A* conf
Make Landscape Flatter in Differentially Private Federated Learning.
CVPR
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
2023 J jnl
Make Landscape Flatter in Differentially Private Federated Learning.
CoRR
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
2023 J jnl
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints.
CoRR
Hanchi Huang, Li Shen, Deheng Ye, Wei Liu
2023 J jnl
MerA: Merging Pretrained Adapters For Few-Shot Learning.
CoRR
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023 A* conf
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts.
EMNLP
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023 J jnl
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts.
CoRR
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023 A* conf
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.
CVPR
Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
2023 J jnl
Neural Network Approximation for Pessimistic Offline Reinforcement Learning.
CoRR
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
2023 J jnl
OMG: Towards Effective Graph Classification Against Label Noise.
IEEE Trans. Knowl. Data Eng.
Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao
2023 A* conf
Off-policy Imitation Learning from Visual Inputs.
ICRA
Zhihao Cheng, Li Shen, Dacheng Tao
2023 A* conf
Offline Quantum Reinforcement Learning in a Conservative Manner.
AAAI
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao
2023 J jnl
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.
CoRR
Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao
2023 J jnl
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review.
CoRR
Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao
2023 J jnl
Parameter Efficient Multi-task Model Fusion with Partial Linearization.
CoRR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
2023 J jnl
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao
2023 J jnl
Prompt-Tuning Decision Transformer with Preference Ranking.
CoRR
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
2023 A conf
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation.
AAMAS
Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang
2023 J jnl
Quantum Imitation Learning.
CoRR
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao
2023 J jnl
Reducing bi-level feature redundancy for unsupervised domain adaptation.
Pattern Recognit.
Mengzhu Wang, Shanshan Wang, Wei Wang, Li Shen, Xiang Zhang, Long Lan, Zhigang Luo
2023 J jnl
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz.
CoRR
Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li
2023 J jnl
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.
CoRR
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
2023 A* conf
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.
CVPR
Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu
2023 J jnl
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.
CoRR
Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu
2023 J jnl
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.
CoRR
Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang
2023 J jnl
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.
CoRR
Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao
2023 A* conf
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm.
NeurIPS
Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao
2023 J jnl
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm.
CoRR
Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao
2023 J jnl
Subspace based Federated Unlearning.
CoRR
Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao
2023 J jnl
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer.
CoRR
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Tianshuo Xu, Xiaoshuai Sun, Tongliang Liu, Rongrong Ji, Dacheng Tao
2023 J jnl
Task-Adaptive Feature Disentanglement and Hallucination for Few-Shot Classification.
IEEE Trans. Circuits Syst. Video Technol.
Zixuan Hu, Li Shen, Shenqi Lai, Chun Yuan
2023 J jnl
Task-Distributionally Robust Data-Free Meta-Learning.
CoRR
Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023 — conf
Towards Making the Most of ChatGPT for Machine Translation.
EMNLP (Findings)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2023 J jnl
Towards Making the Most of ChatGPT for Machine Translation.
CoRR
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2023 J jnl
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training.
CoRR
Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Li Shen, Xueqian Wang, Dacheng Tao
2023 A* conf
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.
ICLR
Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
2023 A* conf
Towards Stable Backdoor Purification through Feature Shift Tuning.
NeurIPS
Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
2023 J jnl
Towards Stable Backdoor Purification through Feature Shift Tuning.
CoRR
Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
2023 J jnl
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent.
CoRR
Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao
2023 J jnl
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.
CoRR
Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao
2023 A* conf
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization.
NeurIPS
Yan Sun, Li Shen, Dacheng Tao
2023 J jnl
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization.
CoRR
Yan Sun, Li Shen, Dacheng Tao
2023 J jnl
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation.
CoRR
Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
2023 J jnl
Visual Prompt Based Personalized Federated Learning.
CoRR
Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao
2023 J jnl
Which mode is better for federated learning? Centralized or Decentralized.
CoRR
Yan Sun, Li Shen, Dacheng Tao
2023 J jnl
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.
CoRR
Zhuo Huang, Muyang Li, Li Shen, Jun Yu, Chen Gong, Bo Han, Tongliang Liu
2023 J jnl
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models.
CoRR
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023 A* conf
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models.
EMNLP
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2022 J jnl
Achieving Personalized Federated Learning with Sparse Local Models.
CoRR
Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao
2022 J jnl
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning.
CoRR
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2022 J jnl
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu
2022 A* conf
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation.
NeurIPS
Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu
2022 J jnl
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation.
CoRR
Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu
2022 J jnl
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.
CoRR
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022 A* conf
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.
ACM Multimedia
Nan Yin, Li Shen, Baopu Li, Mengzhu Wang, Xiao Luo, Chong Chen, Zhigang Luo, Xian-Sheng Hua
2022 A* conf
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning.
ICML
Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan
2022 A* conf
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training.
ICML
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
2022 J jnl
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training.
CoRR
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
2022 J jnl
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance.
CoRR
Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen
2022 J jnl
Dynamic Contrastive Distillation for Image-Text Retrieval.
CoRR
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2022 A* conf
Enhancing Top-N Item Recommendations by Peer Collaboration.
SIGIR
Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao
2022 J jnl
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks.
CoRR
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao
2022 A* conf
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning.
CVPR
Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan
2022 J jnl
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning.
CoRR
Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan
2022 J jnl
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style.
CoRR
Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
2022 — conf
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models.
EMNLP (Findings)
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
2022 J jnl
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models.
CoRR
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
2022 A* conf
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.
ICML
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022 J jnl
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.
CoRR
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022 J jnl
Informative pairs mining based adaptive metric learning for adversarial domain adaptation.
Neural Networks
Mengzhu Wang, Paul Li, Li Shen, Ye Wang, Shanshan Wang, Wei Wang, Xiang Zhang, Junyang Chen, Zhigang Luo
2022 A* conf
Learning to Learn and Remember Super Long Multi-Domain Task Sequence.
CVPR
Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
2022 A* conf
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach.
NeurIPS
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao
2022 J jnl
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach.
CoRR
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao
2022 — conf
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.
ECCV (20)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022 J jnl
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.
CoRR
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022 A conf
Meta-learning without data via Wasserstein distributionally-robust model fusion.
UAI
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
2022 A* conf
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models.
NeurIPS
Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022 J jnl
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models.
CoRR
Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard D. Bondell
2022 J jnl
On Transforming Reinforcement Learning by Transformer: The Development Trajectory.
CoRR
Shengchao Hu, Li Shen, Ya Zhang, Yixin Chen, Dacheng Tao
2022 B conf
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.
COLING
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022 J jnl
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.
CoRR
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022 A* conf
Penalized Proximal Policy Optimization for Safe Reinforcement Learning.
IJCAI
Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao
2022 J jnl
Penalized Proximal Policy Optimization for Safe Reinforcement Learning.
CoRR
Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Bo Yuan, Xueqian Wang, Dacheng Tao
2022 J jnl
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation.
CoRR
Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang
2022 J jnl
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning.
CoRR
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
2022 A* conf
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning.
ICLR
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
2022 A* conf
Robust Weight Perturbation for Adversarial Training.
IJCAI
Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu
2022 J jnl
Robust Weight Perturbation for Adversarial Training.
CoRR
Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu
2022 J jnl
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving.
CoRR
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang
2022 A conf
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning.
IROS
Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao
2022 J jnl
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning.
CoRR
Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao
2022 J jnl
Stochastic Client Selection for Federated Learning With Volatile Clients.
IEEE Internet Things J.
Tiansheng Huang, Weiwei Lin, Li Shen, Keqin Li, Albert Y. Zomaya
2022 J jnl
Strength-Adaptive Adversarial Training.
CoRR
Chaojian Yu, Dawei Zhou, Li Shen, Jun Yu, Bo Han, Mingming Gong, Nannan Wang, Tongliang Liu
2022 A* conf
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.
ICLR
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022 J jnl
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.
CoRR
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
2022 J jnl
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR
Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao
2022 J jnl
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels.
CoRR
Chuang Zhang, Li Shen, Jian Yang, Chen Gong
2022 J jnl
Towards harnessing feature embedding for robust learning with noisy labels.
Mach. Learn.
Chuang Zhang, Li Shen, Jian Yang, Chen Gong
2022 A* conf
Understanding Robust Overfitting of Adversarial Training and Beyond.
ICML
Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu
2022 J jnl
Understanding Robust Overfitting of Adversarial Training and Beyond.
CoRR
Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu
2021 Misc conf
DAG-GAN: Causal Structure Learning with Generative Adversarial Nets.
ICASSP
Yinghua Gao, Li Shen, Shu-Tao Xia
2021 J jnl
DGL-GAN: Discriminator Guided Learning for GAN Compression.
CoRR
Yuesong Tian, Li Shen, Dacheng Tao, Zhifeng Li, Wei Liu
2021 J jnl
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution.
CoRR
Xinyue Wei, Haozhi Huang, Yujin Shi, Hongliang Yuan, Li Shen, Jue Wang
2021 J jnl
Federated Causal Discovery.
CoRR
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
2021 J jnl
Knowledge Distillation With Multi-Objective Divergence Learning.
IEEE Signal Process. Lett.
Ye Tian, Meiling Chen, Li Shen, Bo Jiang, Zhifeng Li
2021 J jnl
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning.
CoRR
Shenao Zhang, Li Shen, Lei Han, Li Shen
2021 J jnl
Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems.
CoRR
Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao
2021 J jnl
Off-policy Imitation Learning from Visual Inputs.
CoRR
Zhihao Cheng, Li Shen, Dacheng Tao
2021 J jnl
Quantized Adam with Error Feedback.
ACM Trans. Intell. Syst. Technol.
Congliang Chen, Li Shen, Hao-Zhi Huang, Wei Liu
2021 A* conf
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.
NeurIPS
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021 J jnl
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.
CoRR
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
2021 J jnl
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer.
CoRR
Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao
2021 J jnl
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing.
CoRR
Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
2021 J jnl
UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing.
IEEE Trans. Image Process.
Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
2020 A* conf
A Block Decomposition Algorithm for Sparse Optimization.
KDD
Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2020 A* conf
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning.
AAAI
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian
2020 J jnl
Adaptive Compact Attention For Few-shot Video-to-video Translation.
CoRR
Risheng Huang, Li Shen, Xuan Wang, Cheng Lin, Hao-Zhi Huang
2020 J jnl
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks.
CoRR
Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu
2020 J jnl
Generalized Embedding Machines for Recommender Systems.
CoRR
Enneng Yang, Xin Xin, Li Shen, Guibing Guo
2020 J jnl
MAP Inference Via ℓ
Int. J. Comput. Vis.
Baoyuan Wu, Li Shen, Tong Zhang, Bernard Ghanem
2020 J jnl
Task-agnostic Temporally Consistent Facial Video Editing.
CoRR
Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
2019 J jnl
A Block Decomposition Algorithm for Sparse Optimization.
CoRR
Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2019 A* conf
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem.
CVPR
Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2019 J jnl
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning.
CoRR
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian
2019 A* conf
Discrete Trust-aware Matrix Factorization for Fast Recommendation.
IJCAI
Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He
2019 J jnl
MAP Inference via L2-Sphere Linear Program Reformulation.
CoRR
Baoyuan Wu, Li Shen, Bernard Ghanem, Tong Zhang
2018 J jnl
A Decomposition Algorithm for Sparse Generalized Eigenvalue Problem.
CoRR
Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2018 J jnl
A Generalized Matrix Splitting Algorithm.
CoRR
Ganzhao Yuan, Wei-Shi Zheng, Li Shen, Bernard Ghanem
2017 A* conf
Adaptive Proximal Average Approximation for Composite Convex Minimization.
AAAI
Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma