Li Shen

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 128

Top Venues

CoRR

ICLR

NeurIPS

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. ICLR (2024)
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. CoRR (2024)
Nan Yin, Mengzhu Wang, Li Shen, Hitesh Laxmichand Patel, Baopu Li, Bin Gu, Huan Xiong
Continuous Spiking Graph Neural Networks. CoRR (2024)
Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen
Decentralized Directed Collaboration for Personalized Federated Learning. CoRR (2024)
Longxiang He, Li Shen, Junbo Tan, Xueqian Wang
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization. CoRR (2024)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) (2024)
Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. CoRR (2024)
Derun Song, Enneng Yang, Guibing Guo, Li Shen, Linying Jiang, Xingwei Wang
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong
Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 17 (3) (2024)
Enneng Yang, Xin Xin, Li Shen, Yudong Luo, Guibing Guo
Generalized Embedding Machines for Recommender Systems. Mach. Intell. Res. 21 (3) (2024)
Yifan Shi, Yuhui Zhang, Ziyue Huang, Xiaofeng Yang, Li Shen, Wei Chen, Xueqian Wang
A General and Efficient Federated Split Learning with Pre-trained Image Transformers for Heterogeneous Data. CoRR (2024)
Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
Q-value Regularized Transformer for Offline Reinforcement Learning. CoRR (2024)
Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao
Local AdaGrad-type algorithm for stochastic convex-concave optimization. Mach. Learn. 113 (4) (2024)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR (2024)
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Learning Multi-Agent Communication from Graph Modeling Perspective. CoRR (2024)
Tianjin Huang, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Shiwei Liu, Tianlong Chen
(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork. CoRR (2024)
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. ICLR (2024)
Tianqi Liu, Guangcong Wang, Shoukang Hu, Li Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu
Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo. CoRR (2024)
Zhenyi Wang, Yan Li, Li Shen, Heng Huang
A Unified and General Framework for Continual Learning. ICLR (2024)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR (2024)
Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? CoRR (2024)
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion. CoRR (2024)
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169 (2024)
Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao
FREE: Faster and Better Data-Free Meta-Learning. CoRR (2024)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. ACL (Findings) (2024)
Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong
Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning. CoRR (2024)
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Learning Multi-Agent Communication from Graph Modeling Perspective. ICLR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR (2024)
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Federated Learning with Only Positive Labels by Exploring Label Correlations. CoRR (2024)
Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
FusionBench: A Comprehensive Benchmark of Deep Model Fusion. CoRR (2024)
Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
Improving Non-Transferable Representation Learning by Harnessing Content and Style. ICLR (2024)
Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao
Visual Prompt Based Personalized Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
Zhenyi Wang, Yan Li, Li Shen, Heng Huang
A Unified and General Framework for Continual Learning. CoRR (2024)
Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. CoRR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR (2023)
Zhihao Cheng, Li Shen, Dacheng Tao
Off-policy Imitation Learning from Visual Inputs. ICRA (2023)
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
Enhancing Adversarial Training via Reweighting Optimization Trajectory. ECML/PKDD (1) (2023)
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao
Learn From Model Beyond Fine-Tuning: A Survey. CoRR (2023)
Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao
OMG: Towards Effective Graph Classification Against Label Noise. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR (2023)
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
Improving the Model Consistency of Decentralized Federated Learning. ICML (2023)
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Prompt-Tuning Decision Transformer with Preference Ranking. CoRR (2023)
Shenao Zhang, Li Shen, Lei Han, Li Shen
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. CoLLAs (2023)
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Trans. Multim. 25 (2023)
Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
Towards Stable Backdoor Purification through Feature Shift Tuning. CoRR (2023)
Hao Sun, Li Shen, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data. CoRR (2023)
Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR (2023)
Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
Towards Stable Backdoor Purification through Feature Shift Tuning. NeurIPS (2023)
Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. ICLR (2023)
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models. CoRR (2023)
Guanghao Li, Li Shen, Yan Sun, Yue Hu, Han Hu, Dacheng Tao
Subspace based Federated Unlearning. CoRR (2023)
Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. CoRR (2023)
Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Wei Liu
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33 (6) (2023)
Zhuo Huang, Li Shen, Jun Yu, Bo Han, Tongliang Liu
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning. CoRR (2023)
Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm. CoRR (2023)
Yixing Liu, Yan Sun, Zhengtao Ding, Li Shen, Bo Liu, Dacheng Tao
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach. CoRR (2023)
Yan Sun, Li Shen, Dacheng Tao
Which mode is better for federated learning? Centralized or Decentralized. CoRR (2023)
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao
Offline Quantum Reinforcement Learning in a Conservative Manner. AAAI (2023)
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
Enhancing Adversarial Training via Reweighting Optimization Trajectory. CoRR (2023)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter Efficient Multi-task Model Fusion with Partial Linearization. CoRR (2023)
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
Fusion of Global and Local Knowledge for Personalized Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
Hanchi Huang, Li Shen, Deheng Ye, Wei Liu
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints. CoRR (2023)
Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization. CVPR (2023)
Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao
Task-Distributionally Robust Data-Free Meta-Learning. CoRR (2023)
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard D. Bondell
FedDAG: Federated DAG Structure Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao
Quantum Imitation Learning. CoRR (2023)
Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
Continual Learning From a Stream of APIs. CoRR (2023)
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP (2023)
Shiwei Liu, Yuesong Tian, Tianlong Chen, Li Shen
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance. Int. J. Comput. Vis. 131 (10) (2023)
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
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR (2023)
Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao
Visual Prompt Based Personalized Federated Learning. CoRR (2023)
Zixuan Hu, Li Shen, Shenqi Lai, Chun Yuan
Task-Adaptive Feature Disentanglement and Hallucination for Few-Shot Classification. IEEE Trans. Circuits Syst. Video Technol. 33 (8) (2023)
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
Graph Decision Transformer. CoRR (2023)
Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. ACM Multimedia (2023)
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
Are Large Language Models Really Robust to Word-Level Perturbations? CoRR (2023)
Yuesong Tian, Li Shen, Xiang Tian, Zhifeng Li, Yaowu Chen
Dynamic PDGAN: discriminator-boosted knowledge distillation for StyleGANs. J. Electronic Imaging 33 (1) (2023)
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. AAAI (2023)
Zhuo Huang, Muyang Li, Li Shen, Jun Yu, Chen Gong, Bo Han, Tongliang Liu
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization. CoRR (2023)
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Tianshuo Xu, Xiaoshuai Sun, Tongliang Liu, Rongrong Ji, Dacheng Tao
Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer. CoRR (2023)
Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. CoRR (2023)
Congliang Chen, Li Shen, Wei Liu, Zhi-Quan Luo
Efficient-Adam: Communication-Efficient Distributed Adam. IEEE Trans. Signal Process. 71 (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR (2023)
Weishi Li, Yong Peng, Miao Zhang, Liang Ding, Han Hu, Li Shen
Deep Model Fusion: A Survey. CoRR (2023)
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
FedABC: Targeting Fair Competition in Personalized Federated Learning. CoRR (2023)
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
Are Large Kernels Better Teachers than Transformers for ConvNets? CoRR (2023)
Hanchi Huang, Deheng Ye, Li Shen, Wei Liu
Curriculum-Based Asymmetric Multi-Task Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. CoRR (2023)
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR (2023)
Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR (2023)
Zihao Lin, Yan Sun, Yifan Shi, Xueqian Wang, Lifu Huang, Li Shen, Dacheng Tao
Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models. CoRR (2023)
Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR (2023)
Zhuo Huang, Li Shen, Jun Yu, Bo Han, Tongliang Liu
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning. NeurIPS (2023)
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
Dynamic Contrastive Distillation for Image-Text Retrieval. CoRR (2022)
Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Li Shen