Li Shen

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 248

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)
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI (2024)
Li Shen, Yongpeng Wu, Yin Xu, Xiaohu You, Xiqi Gao, Wenjun Zhang
GLDPC-PC Codes: Channel Coding Towards 6G Communications. CoRR (2024)
Zhaoting Geng, Weiren Cheng, Zhenyu Liu, Mingjian You, Xiaolun Yu, Pengzhuo Wu, Ning Ding, Xingyu Tang, Yihan Liu, Li Shen, Qiancheng Zhao
Low-loss and Thermal-stable Ta2O5 Photonic Platform with Low-temperature Process. OFC (2024)
Dunbo Zhang, Qingjie Lang, Ruoxi Wang, Li Shen
Extension VM: Interleaved Data Layout in Vector Memory. ACM Trans. Archit. Code Optim. 21 (1) (2024)
Rui Chen, Tao Guo, Yang Mu, Li Shen
Learning Compact Hyperbolic Representations of Latent Space for Old Photo Restoration. IEEE Trans. Image Process. 33 (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)
Li Shen, Bin Li, Xiaojie Zhu
Robust Offloading for Edge Computing-Assisted Sensing and Communication Systems: A Deep Reinforcement Learning Approach. Sensors 24 (8) (2024)
Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy. CoRR (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)
Duy Duong-Tran, Siqing Wei, Li Shen
Theorizing neuro-induced relationships between cognitive diversity, motivation, grit and academic performance in multidisciplinary engineering education context. 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)
Puning Zhao, Li Shen, Rongfei Fan, Qingming Li, Huiwen Wu, Jiafei Wu, Zhe Liu
Learning with User-Level Local Differential Privacy. CoRR (2024)
Zhiwei Yan, Qiyuan Yi, Qiyuan Li, Guanglian Cheng, Yuhan Sun, Lipeng Xia, Yuheng Liu, Xinzhe Xiong, Zengfan Shen, Fanglu Xu, Meng He, Yi Zou, Li Shen
Broadband mid-infrared continuous-wave wavelength conversion in a germanium-on-silicon waveguide. OFC (2024)
Li Shen, Yuning Wei, Yangzhu Wang, Hongguang Li
AFMF: Time series anomaly detection framework with modified forecasting. Knowl. Based Syst. 296 (2024)
Kaixin Huang, Li Shen, Chen Zhao, Chun Yuan, Dacheng Tao
Solving Continual Offline Reinforcement Learning with Decision Transformer. CoRR (2024)
Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. 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)
Li Shen, Yuning Wei, Yangzhu Wang, Huaxin Qiu
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer. IEEE Internet Things J. 11 (8) (2024)
Guanglian Cheng, Qiyuan Yi, Zengfan Shen, Zhiwei Yan, Qiyuan Li, Xinzhe Xiong, Fanglu Xu, Shuang Zheng, Shuai Cui, Yuan Yu, Yi Zou, Chaotan Sima, Li Shen
Dual-band polarization beam splitter based on cascaded multimode anti-symmetric apodized Bragg gratings. OFC (2024)
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
Representation Surgery for Multi-Task Model Merging. CoRR (2024)
Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). 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)
XiYue Deng, Xiaoming Li, Zhenzhen Chen, Mengli Zhu, Naixue Xiong, Li Shen
Construction of public security indicators based on characteristics of shared group behavior patterns. Data Technol. Appl. 58 (3) (2024)
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training. 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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Li Shen