Li Shen

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 234

Top Venues

Publications

Kevin Van Vorst, Li Shen
Siamese Networks with Soft Labels for Unsupervised Lesion Detection and Patch Pretraining on Screening Mammograms. CoRR (2024)
Hong Zhou, Liang Lu, Mingkui Wei, Li Shen, Youbo Liu
Robust Scheduling of a Hybrid Hydro/Photovoltaic/Pumped-Storage System for Multiple Grids Peak-Shaving and Congestion Management. IEEE Access 12 (2024)
Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. CoRR (2024)
Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR (2024)
Kaixin Huang, Li Shen, Chen Zhao, Chun Yuan, Dacheng Tao
Solving Continual Offline Reinforcement Learning with Decision Transformer. CoRR (2024)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. CoRR (2024)
Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen
Communication-Efficient Distributed Learning with Local Immediate Error Compensation. CoRR (2024)
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
Representation Surgery for Multi-Task Model Merging. CoRR (2024)
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. CoRR (2024)
Yifan Shi, Yingqi Liu, Yan Sun, Zihao Lin, Li Shen, Xueqian Wang, Dacheng Tao
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training. CoRR (2023)
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
Dynamic Sparsity Is Channel-Level Sparsity Learner. NeurIPS (2023)
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. CoRR (2023)
Li Shen, Yuning Wei, Yangzhu Wang
GBT: Two-stage transformer framework for non-stationary time series forecasting. CoRR (2023)
Xuming An, Li Shen, Han Hu, Yong Luo
Federated Learning with Manifold Regularization and Normalized Update Reaggregation. NeurIPS (2023)
Lingzhi Li, Zhongshu Wang, Zhen Shen, Li Shen, Ping Tan
Compact Real-time Radiance Fields with Neural Codebook. CoRR (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) (2023)
Kuan Xu, Li Shen, Lindong Liu
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems. CoRR (2023)
Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. CoRR (2023)
Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu
Global Balanced Experts for Federated Long-Tailed Learning. ICCV (2023)
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
Make Landscape Flatter in Differentially Private Federated Learning. CVPR (2023)
Qinglun Li, Li Shen, Guanghao Li, Quanjun Yin, Dacheng Tao
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
MerA: Merging Pretrained Adapters For Few-Shot Learning. CoRR (2023)
Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. MICCAI (2) (2023)
Tao Li, Li Shen
A sparse matrix vector multiplication accelerator based on high-bandwidth memory. Comput. Electr. Eng. 105 (2023)
Li Shen, Yuning Wei, Yangzhu Wang, Huaxin Qiu
FDNet: Focal Decomposed Network for efficient, robust and practical time series forecasting. Knowl. Based Syst. 275 (2023)
Li Shen, Xiqian Lu, Xiangyong Yuan, Ruichen Hu, Ying Wang, Yi Jiang
Cortical encoding of rhythmic kinematic structures in biological motion. NeuroImage 268 (2023)
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. CoRR (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR (2023)
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? CoRR (2023)
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
Dynamic Sparsity Is Channel-Level Sparsity Learner. CoRR (2023)
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. ICML (2023)
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
Fusion of Global and Local Knowledge for Personalized Federated Learning. CoRR (2023)
Chenyang Jiao, Weihua Zhang, Li Shen
Communication Optimizations for State-vector Quantum Simulator on CPU+GPU Clusters. ICPP (2023)
Shunian Xiang, Patrick J. Lawrence, Bo Peng, Chienwei Chiang, Dokyoon Kim, Li Shen, Xia Ning
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing. 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. EMNLP (2023)
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. 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. CoRR (2023)
Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. CoRR (2023)
Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR (2023)
Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
Make Landscape Flatter in Differentially Private Federated Learning. CoRR (2023)
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation. ICCV (2023)
Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention. CoRR (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. CoRR (2023)
Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. CoRR (2023)
Qinglun Li, Miao Zhang, Nan Yin, Quanjun Yin, Li Shen
Asymmetrically Decentralized Federated Learning. CoRR (2023)
Guanglian Cheng, Qiyuan Yi, Zhiwei Yan, Qiyuan Li, Fanglu Xu, Chaotan Sima, Li Shen
Low-Reflection Ultrahigh-extinction-ratio All-silicon TM-pass Polarizer covering E to U optical communication bands. OFC (2023)
Li Shen, Yuning Wei, Yangzhu Wang, Huaxin Qiu
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting. CoRR (2023)
Zhihao Che, Li Shen, Lianzhi Huo, Changmiao Hu, Yanping Wang, Yao Lu, Fukun Bi
MAFF-HRNet: Multi-Attention Feature Fusion HRNet for Building Segmentation in Remote Sensing Images. Remote. Sens. 15 (5) (2023)
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI (2023)
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning. NeurIPS (2023)
Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR (2023)
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS (2023)
Mengzhu Wang, Shanshan Wang, Wei Wang, Li Shen, Xiang Zhang, Long Lan, Zhigang Luo
Reducing bi-level feature redundancy for unsupervised domain adaptation. Pattern Recognit. 137 (2023)
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. ICML (2023)
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI (2023)
Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR (2023)
Yan Sun, Li Shen, Dacheng Tao
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. NeurIPS (2023)
Yuanwei Li, En Zhu, Hang Chen, Jiyong Tan, Li Shen
Dense Crosstalk Feature Aggregation for Classification and Localization in Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33 (6) (2023)
Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing. CoRR (2023)
Li Shen, Yuning Wei, Yangzhu Wang, Hongguang Li
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer. CoRR (2023)
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup. CoRR (2023)
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. CoRR (2023)
Jian Liu, Li Shen, Guo-Wei Wei
ChatGPT for Computational Topology. CoRR (2023)
Yan Sun, Li Shen, Dacheng Tao
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization. CoRR (2023)
Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
Improving the Model Consistency of Decentralized Federated Learning. CoRR (2023)
Ruipeng Sun, Ziyuan Zhao, Li Shen, Zeng Zeng, Yuxin Li, Bharadwaj Veeravalli, Xulei Yang
An Efficient Deep Video Model For Deepfake Detection. ICIP (2023)
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. CoRR (2023)
Li Shen, Yuning Wei, Yangzhu Wang
GBT: Two-stage transformer framework for non-stationary time series forecasting. Neural Networks 165 (2023)
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 144 (2023)
Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang
Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation. AAMAS (2023)
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. CoRR (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML (2023)
Hu Yu, Li Shen, Jie Huang, Man Zhou, Hongsheng Li, Feng Zhao
Debias the Training of Diffusion Models. 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? ICML (2023)
Houliang Zhou, Yu Zhang, Lifang He, Li Shen, Brian Y. Chen
Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics. BIBM (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR (2023)
Tong Tang, Xingyun Liu, Rongrong Wu, Li Shen, Shumin Ren, Bairong Shen
CTRR-ncRNA: A Knowledgebase for Cancer Therapy Resistance and Recurrence Associated Non-coding RNAs. Genom. Proteom. Bioinform. 21 (2) (2023)
Daniele Pala, Yuezhi Xie, Jia Xu, Yuqin Zhang, Li Shen
Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological Ages. BIBM (2023)
Zhao Ge, Li Shen, Can Zhao, Hao Wu, Zhiyong Zhao, Ming Tang
Enabling Variable High Spatial Resolution Retrieval From a Long Pulse BOTDA Sensor. IEEE Internet Things J. 10 (2) (2023)
Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent. CoRR (2023)
Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. CoRR (2023)
Qi Zhang, Yao Lu, Sicheng Shao, Li Shen, Fei Wang, Xuetao Zhang
MFNet: Mutual Feature-Aware Networks for Remote Sensing Change Detection. Remote. Sens. 15 (8) (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV (2023)
Tiejian Zhang, Xinwang Liu, Lei Gong, Siwei Wang, Xin Niu, Li Shen
Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization. IEEE Trans. Multim. 25 (2023)
Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning. CoRR (2023)
Miaoxi Zhu, Li Shen, Bo Du, Dacheng Tao
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm. NeurIPS (2023)
Rong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics. BIBM (2023)
Xuming An, Li Shen, Han Hu, Yong Luo
Federated Learning with Manifold Regularization and Normalized Update Reaggregation. CoRR (2023)
Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy. CoRR (2023)
Jianbo Wang, Hao-Zhi Huang, Li Shen, Xuan Wang, Toshihiko Yamasaki
Hierarchical Detailed Intermediate Supervision for Image-to-Image Translation. IEICE Trans. Inf. Syst. 106 (12) (2023)
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR (2023)
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. CoRR (2022)
Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning. CoRR (2022)
Weilun Wei, Li Shen, Zhiyong Zhao, Can Zhao, Ming Tang
Performance enhanced BOTDA sensor using Differential Golay Coding and Deconvolution Algorithm. OFC (2022)
Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR (2022)
Li Shen, Xi Yu, M. Ani Hsieh
Topology Control of a Periodic Time-varying Communication Network with Stochastic Temporal Links. ACC (2022)
Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning. IROS (2022)
Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu
Depth-Aware Generative Adversarial Network for Talking Head Video Generation. CoRR (2022)
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Li Shen