| 2026 | ACL | Efficient Transformer Parameter Reuse via Zero-Token Mechanism. | Guanghao Li, Wenhao Jiang, Li Shen, Ming Tang, Chun Yuan |
| 2026 | ACL | O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning. | Haotian Luo, Haiying He, Yibo Wang, Shiwei Liu, Wei Li, Xiaochun Cao, Dacheng Tao, Naiqiang Tan, Li Shen |
| 2026 | ACL | Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling. | Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding |
| 2026 | ACL | Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2026 | ACL | CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning. | Biao Yi, Tiansheng Huang, Baolei Zhang, Tong Li, Lihai Nie, Zheli Liu, Li Shen |
| 2026 | ASPDAC | AutoCT: Hybrid Compressor Tree Optimization via Reinforcement Learning with Graph Modeling. | Shangshang Yao, Kunlong Li, Li Shen, Ruoxi Wang, Jingyu Liu |
| 2026 | ISCA | Revisiting Global Value Prediction: A Resurgent Complement to Local Predictors. | Ling Yang, Libo Huang, Zhong Zheng, Bingcai Sui, Sheng Ma, Yongwen Wang, Li Shen, Junhui Wang, Gang Chen, Qianming Yang, Songwen Pei, Weixia Xu |
| 2026 | SP | Consistent Estimation of Numerical Distributions Under Local Differential Privacy by Wavelet Expansion. | Puning Zhao, Zhikun Zhang, Bo Sun, Li Shen, Liang Zhang, Shaowei Wang, Zhe Liu |
| 2025 | AAAI | Evaluating topological fitness of human brain-inspired sub-circuits in Echo State Networks. | Bach V. Nguyen, Tianlong Chen, Shu Yang, Bojian Hou, Li Shen, Duy Duong-Tran |
| 2025 | AAAI | Integrating Social Determinants of Health in a Multi-Modal Deep Clustering Survival Model for Injury-Risk in Alzheimer’s and Related Dementia Patients. | Kazi Noshin, Mary Regina Boland, Bojian Hou, Weiqing He, Victoria Lu, Li Shen, Aidong Zhang |
| 2025 | AAAI | Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. | Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao |
| 2025 | AAAI | Image-to-video Adaptation with Outlier Modeling and Robust Self-learning. | Junbao Zhuo, Shuhui Wang, Zhenghan Chen, Li Shen, Qingming Huang, Huimin Ma |
| 2025 | ACL | Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2025 | CVPR | LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs. | Zixuan Hu, Yongxian Wei, Li Shen, Chun Yuan, Dacheng Tao |
| 2025 | CVPR | Investigating the Role of Weight Decay in Enhancing Nonconvex SGD. | Tao Sun, Yuhao Huang, Li Shen, Kele Xu, Bao Wang |
| 2025 | ECAI | AIRES: A General Framework for Efficient Intrinsic Rewards Based on Attention Mechanisms. | Xin Liu, Jie Tan, Li Shen, Xu Wang, Guoli Wu, Xiaoguang Ren, Huadong Dai |
| 2025 | EMNLP | Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA. | Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao |
| 2025 | EMNLP | DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. | Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding |
| 2025 | ICCAD | ILP-Driven FPGA Multiplier Synthesis: A Scalable Framework for Area-Latency Co-Optimization. | Shangshang Yao, Kunlong Li, Li Shen |
| 2025 | ICCV | Adapting Vision-Language Models for 3D CT/MRI Understanding on PMBB via Slice Selection and Explanation Analysis. | Hongzhuo Chen, Rahul Shukla, Ruiming Wu, Shu Yang, Duy Duong-Tran, Duy Minh Ho Nguyen, Mathias Niepert, Cameron Beeche, James C. Gee, Jeffrey T. Duda, Rakesh Sharma, Christos Davatzikos, Walter R. Witschey, Bojian Hou, Li Shen |
| 2025 | ICCV | MuGS: Multi-Baseline Generalizable Gaussian Splatting Reconstruction. | Yaopeng Lou, Li Shen, Tianqi Liu, Jiaqi Li, Zihao Huang, Huiqiang Sun, Zhiguo Cao |
| 2025 | ICCV | Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. | Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen |
| 2025 | ICLR | PEARL: Towards Permutation-Resilient LLMs. | Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong |
| 2025 | ICLR | Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection. | Ziqing Fan, Siyuan Du, Shengchao Hu, Pingjie Wang, Li Shen, Ya Zhang, Dacheng Tao, Yanfeng Wang |
| 2025 | ICLR | Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic. | Ruochen Jin, Bojian Hou, Jiancong Xiao, Weijie J. Su, Li Shen |
| 2025 | ICLR | Understanding the Stability-based Generalization of Personalized Federated Learning. | Yingqi Liu, Qinglun Li, Jie Tang, Yifan Shi, Li Shen, Xiaochun Cao |
| 2025 | ICLR | Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense. | Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao |
| 2025 | ICLR | Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. | Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao |
| 2025 | ICLR | Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. | Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu |
| 2025 | ICLR | Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency. | Qixin Zhang, Zongqi Wan, Yu Yang, Li Shen, Dacheng Tao |
| 2025 | ICLR | Enhancing Learning with Label Differential Privacy by Vector Approximation. | Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li |
| 2025 | ICML | Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning. | Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong |
| 2025 | ICML | Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints. | Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, Yao Shu, Li Shen, Dacheng Tao |
| 2025 | ICML | Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision. | Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao |
| 2025 | ICML | Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer. | Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao |
| 2025 | ICML | Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning. | Guozheng Ma, Lu Li, Zilin Wang, Li Shen, Pierre-Luc Bacon, Dacheng Tao |
| 2025 | ICML | Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG. | Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao |
| 2025 | ICML | Safety Reasoning with Guidelines. | Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng |
| 2025 | ICML | GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. | Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo |
| 2025 | ICML | Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent. | Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao |
| 2025 | ICML | Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach. | Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J. Su, Li Shen |
| 2025 | ICML | Contextual Bandits for Unbounded Context Distributions. | Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng |
| 2025 | ICML | Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making. | Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao |
| 2025 | ICML | Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More. | Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu |
| 2025 | ICMLA | Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training. | Chen Tao, Li Shen, Soumik Mondal |
| 2025 | ICONIP | Robust Multivariate Time Series Forecasting with Deep Reconstruction. | Xuyi Fan, Hongguang Li, Yangzhu Wang, Wei Li, Li Shen |
| 2025 | IJCAI | Hypernetwork Aggregation for Decentralized Personalized Federated Learning. | Weishi Li, Yong Peng, Mengyao Du, Fuhui Sun, Xiaoyan Wang, Li Shen |
| 2025 | KDD | MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance. | Jia Xu, Tianyi Wei, Bojian Hou, Patryk Orzechowski, Shu Yang, Ruochen Jin, Rachael Paulbeck, Joost B. Wagenaar, George Demiris, Li Shen |
| 2025 | WCNC | Soft-Output Fast Successive-Cancellation List Decoder for Polar Codes. | Li Shen, Yongpeng Wu, Yin Xu, Xiaohu You, Xiqi Gao, Wenjun Zhang |
| 2024 | AAAI | Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior. | Qihang Fang, Yafei Song, Keqiang Li, Li Shen, Huaiyu Wu, Gang Xiong, Liefeng Bo |
| 2024 | AAAI | Neural Network Approximation for Pessimistic Offline Reinforcement Learning. | Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu |
| 2024 | ACL | OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. | Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao |
| 2024 | ACL | Revisiting Knowledge Distillation for Autoregressive Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao |
| 2024 | ACML | Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. | Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag |
| 2024 | AIME | Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. | Bing He, Neel Sangani, Ruiming Wu, Pradeep Varathan, Alice Patania, Shannon L. Risacher, Kwangsik Nho, Liana G. Apostolova, Andrew J. Saykin, Li Shen, Jingwen Yan |
| 2024 | AISTATS | Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods. | Davoud Ataee Tarzanagh, Parvin Nazari, Bojian Hou, Li Shen, Laura Balzano |
| 2024 | CVPR | POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning. | Jiayi Guan, Li Shen, Ao Zhou, Lusong Li, Han Hu, Xiaodong He, Guang Chen, Changjun Jiang |
| 2024 | CVPR | Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning. | Ziming Hong, Li Shen, Tongliang Liu |
| 2024 | CVPR | Decentralized Directed Collaboration for Personalized Federated Learning. | Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen |
| 2024 | CVPR | Free: Faster and Better Data-Free Meta-Learning. | Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao |
| 2024 | CVPR | Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld. | Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi |
| 2024 | CVPR | Sheared Backpropagation for Fine-Tuning Foundation Models. | Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao |
| 2024 | ECAI | Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. | Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao |
| 2024 | ECCV | Training A Secure Model Against Data-Free Model Extraction. | Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao |
| 2024 | ECCV | Unmasking Bias in Diffusion Model Training. | Hu Yu, Li Shen, Jie Huang, Hongsheng Li, Feng Zhao |
| 2024 | EMNLP | DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. | Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen |
| 2024 | EMNLP | Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. | Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu |
| 2024 | ICLR | Improving Non-Transferable Representation Learning by Harnessing Content and Style. | Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu |
| 2024 | ICLR | Learning Multi-Agent Communication from Graph Modeling Perspective. | Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao |
| 2024 | ICLR | Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages. | Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao |
| 2024 | ICLR | Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. | Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao |
| 2024 | ICLR | A Unified and General Framework for Continual Learning. | Zhenyi Wang, Yan Li, Li Shen, Heng Huang |
| 2024 | ICLR | AdaMerging: Adaptive Model Merging for Multi-Task Learning. | Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao |
| 2024 | ICLR | DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. | Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo |
| 2024 | ICML | HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning. | Shengchao Hu, Ziqing Fan, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao |
| 2024 | ICML | Q-value Regularized Transformer for Offline Reinforcement Learning. | Shengchao Hu, Ziqing Fan, Chaoqin Huang, Li Shen, Ya Zhang, Yanfeng Wang, Dacheng Tao |
| 2024 | ICML | Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. | Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao |
| 2024 | ICML | Merging Multi-Task Models via Weight-Ensembling Mixture of Experts. | Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao |
| 2024 | ICML | Generalization Analysis of Stochastic Weight Averaging with General Sampling. | Peng Wang, Li Shen, Zerui Tao, Shuaida He, Dacheng Tao |
| 2024 | ICML | Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. | Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao |
| 2024 | ICML | Representation Surgery for Multi-Task Model Merging. | Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao |
| 2024 | ICPP | A Distributed Framework for Subgraph Isomorphism Leveraging CPU and GPU Heterogeneous Computing. | Chen Chen, Li Shen, Yingwen Chen |
| 2024 | IJCAI | MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. | 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 | IJCNN | Siamese-like Time-series Forecasting with Prior Anomaly Detection and Inner Reconstruction. | Li Shen, Yuning Wei, Yangzhu Wang, Xuyi Fan, Minghao Zhao |
| 2024 | MICCAI | Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. | Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park |
| 2024 | MICCAI | Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. | Nghi Nguyen, Tao Hou, Enrico Amico, Jingyi Zheng, Huajun Huang, Alan D. Kaplan, Giovanni Petri, Joaqun Goi, Ralph Kaufmann, Yize Zhao, Duy Duong-Tran, Li Shen |
| 2023 | AAAI | Offline Quantum Reinforcement Learning in a Conservative Manner. | Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao |
| 2023 | AAAI | FedABC: Targeting Fair Competition in Personalized Federated Learning. | Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao |
| 2023 | AAAI | AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. | Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo |
| 2023 | AAAI | Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. | Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao |
| 2023 | CVPR | Compressing Volumetric Radiance Fields to 1 MB. | Lingzhi Li, Zhen Shen, Zhongshu Wang, Li Shen, Liefeng Bo |
| 2023 | CVPR | Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization. | Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu |
| 2023 | CVPR | Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao |
| 2023 | CVPR | Make Landscape Flatter in Differentially Private Federated Learning. | Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao |
| 2023 | CVPR | MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. | Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao |
| 2023 | CVPR | DeSRF: Deformable Stylized Radiance Field. | Shiyao Xu, Lingzhi Li, Li Shen, Zhouhui Lian |
| 2023 | EMNLP | Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. | Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao |
| 2023 | EMNLP | Towards Making the Most of ChatGPT for Machine Translation. | Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2023 | EMNLP | Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. | Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao |
| 2023 | ICCD | ImprLM: An Improved Logarithmic Multiplier Design Approach via Iterative Linear-Compensation and Modified Dynamic Segment. | Shangshang Yao, Li Shen |
| 2023 | ICCV | Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation. | Wenyu Zhang, Li Shen, Chuan-Sheng Foo |
| 2023 | ICCV | Data Augmented Flatness-aware Gradient Projection for Continual Learning. | Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang |
| 2023 | ICCV | Global Balanced Experts for Federated Long-Tailed Learning. | Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu |
| 2023 | ICCV | Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. | Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu |
| 2023 | ICIP | An Efficient Deep Video Model For Deepfake Detection. | Ruipeng Sun, Ziyuan Zhao, Li Shen, Zeng Zeng, Yuxin Li, Bharadwaj Veeravalli, Xulei Yang |
| 2023 | ICLR | Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. | Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu |
| 2023 | ICLR | FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. | Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao |
| 2023 | ICLR | Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. | Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan |
| 2023 | ICML | Are Large Kernels Better Teachers than Transformers for ConvNets? | Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu |
| 2023 | ICML | Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao |
| 2023 | ICML | Improving the Model Consistency of Decentralized Federated Learning. | Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao |
| 2023 | ICML | Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. | Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao |
| 2023 | ICML | CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. | Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2023 | ICPP | Communication Optimizations for State-vector Quantum Simulator on CPU+GPU Clusters. | Chenyang Jiao, Weihua Zhang, Li Shen |
| 2023 | ICRA | Off-policy Imitation Learning from Visual Inputs. | Zhihao Cheng, Li Shen, Dacheng Tao |
| 2023 | MICCAI | Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. | Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen |
| 2023 | MICCAI | Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. | Rong Zhou, Houliang Zhou, Brian Y. Chen, Li Shen, Yu Zhang, Lifang He |
| 2023 | UAI | Fairness-aware class imbalanced learning on multiple subgroups. | Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen |
| 2022 | COLING | On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. | Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao |
| 2022 | CVPR | Depth-Aware Generative Adversarial Network for Talking Head Video Generation. | Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu |
| 2022 | CVPR | Learning to Learn and Remember Super Long Multi-Domain Task Sequence. | Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao |
| 2022 | CVPR | Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. | Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan |
| 2022 | ECCV | Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao |
| 2022 | EMNLP | Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. | Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao |
| 2022 | HPCC | A High-performance SpMV Accelerator on HBM-equipped FPGAs. | Tao Li, Li Shen, Shangshang Yao |
| 2022 | HPCC | RTA: an Efficient SIMD Architecture for Ray Tracing. | Run Yan, Libo Huang, Hui Guo, Yashuai L, Ling Yang, Nong Xiao, Li Shen, Yongwen Wang |
| 2022 | ICLR | Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. | Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao |
| 2022 | ICLR | The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training. | Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy |
| 2022 | ICML | DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. | Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao |
| 2022 | ICML | Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. | Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan |
| 2022 | ICML | Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao |
| 2022 | ICML | Understanding Robust Overfitting of Adversarial Training and Beyond. | Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu |
| 2022 | ICPADS | DGEMM Optimization Oriented to ARM SVE Instruction Set Architecture. | Yi Wei, Lin Deng, Sizheng Sun, Sisi Li, Li Shen |
| 2022 | IJCAI | Robust Weight Perturbation for Adversarial Training. | Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu |
| 2022 | IJCAI | Penalized Proximal Policy Optimization for Safe Reinforcement Learning. | Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao |
| 2022 | IJCAI | Few-Shot Adaptation of Pre-Trained Networks for Domain Shift. | Wenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo |
| 2022 | IROS | Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning. | Linrui Zhang, Zichen Yan, Li Shen, Shoujie Li, Xueqian Wang, Dacheng Tao |
| 2022 | MICCAI | Sparse Interpretation of Graph Convolutional Networks for Multi-modal Diagnosis of Alzheimer's Disease. | Houliang Zhou, Yu Zhang, Brian Y. Chen, Li Shen, Lifang He |
| 2022 | NPC | DLC: An Optimization Framework for Full-State Quantum Simulation. | Zhikai Qin, Tao Li, Li Shen |
| 2022 | SIGIR | Enhancing Top-N Item Recommendations by Peer Collaboration. | Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao |
| 2022 | SC | Large-Scale Simulation of Quantum Computational Chemistry on a New Sunway Supercomputer. | Honghui Shang, Li Shen, Yi Fan, Zhiqian Xu, Chu Guo, Jie Liu, Wenhao Zhou, Huan Ma, Rongfen Lin, Yuling Yang, Fang Li, Zhuoya Wang, Yunquan Zhang, Zhenyu Li |
| 2022 | SC | AI for Quantum Mechanics: High Performance Quantum Many-Body Simulations via Deep Learning. | Xuncheng Zhao, Mingfan Li, Qian Xiao, Junshi Chen, Fei Wang, Li Shen, Meijia Zhao, Wenhao Wu, Hong An, Lixin He, Xiao Liang |
| 2022 | UAI | Meta-learning without data via Wasserstein distributionally-robust model fusion. | Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao |
| 2022 | SiggraphA | Your3dEmoji: Creating Personalized Emojis via One-shot 3D-aware Cartoon Avatar Synthesis. | Shiyao Xu, Lingzhi Li, Li Shen, Yifang Men, Zhouhui Lian |
| 2021 | AISTATS | Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. | Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo |
| 2021 | ICA3PP | Multi-level PWB and PWC for Reducing TLB Miss Overheads on GPUs. | Yang Lin, Dunbo Zhang, Chaoyang Jia, Qiong Wang, Li Shen |
| 2021 | ICA3PP | A Multi-precision Quantized Super-Resolution Model Framework. | Jingyu Liu, Dunbo Zhang, Qiong Wang, Li Shen |
| 2021 | ICASSP | DAG-GAN: Causal Structure Learning with Generative Adversarial Nets. | Yinghua Gao, Li Shen, Shu-Tao Xia |
| 2021 | ICCD | An Efficient Hybrid Parallel Compression Approximate Multiplier. | Shangshang Yao, Liang Zhang, Qiong Wang, Li Shen |
| 2021 | IGARSS | Building Damage Detection in Vhr Satellite Images Via Multi-Scale Scene Change Detection. | Wenjun Zhang, Li Shen, Wenfan Qiao |
| 2021 | MICCAI | Topological Learning and Its Application to Multimodal Brain Network Integration. | Tananun Songdechakraiwut, Li Shen, Moo K. Chung |
| 2021 | MICCAI | A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. | Yize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen |
| 2020 | AAAI | Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning. | Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian |
| 2020 | AINA | TF-BiLSTMS2S: A Chinese Text Summarization Model. | Caiquan Xiong, Zhuang Wang, Li Shen, Na Deng |
| 2020 | AINA | Personalized Recommendation Algorithm Based on User Preference and User Profile. | Lei Zhou, Caiquan Xiong, Na Deng, Li Shen |
| 2020 | AMIA | Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. | Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen |
| 2020 | BIBE | Estimating Hard-tissue Conditions from Dental Images via Machine Learning. | Jingxuan Bao, Mansu Kim, Qing Sun, Anderson T. Hara, Gerardo Maupome, Li Shen |
| 2020 | BIBE | Deep Multiview Learning to Identify Population Structure with Multimodal Imaging. | Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen |
| 2020 | CVPR | MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. | Chaoyang He, Haishan Ye, Li Shen, Tong Zhang |
| 2020 | FIE | High-Performance Computing and Engineering Educational Development and Practice. | Juan Chen, John Impagliazzo, Li Shen |
| 2020 | ICML | Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. | Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang |
| 2020 | ISPA | Network Evaluation and Planning for Large-scale Low Earth Orbit Satellite Constellation Networks. | Li Shen, Huanren Zhou, Xiaoting Wang, Wenping Li, Yuanyuan Fan, Shan Wu, Shuaijun Liu |
| 2020 | ISPA | Customizing Super-Resolution Framework According to Image Features. | Ninghui Yuan, Jingyu Liu, Qiong Wang, Li Shen |
| 2020 | ISPA | A Unified Page Walk Buffer and Page Walk Cache. | Dunbo Zhang, Chaoyang Jia, Qiong Wang, Li Shen |
| 2020 | KDD | A Block Decomposition Algorithm for Sparse Optimization. | Ganzhao Yuan, Li Shen, Wei-Shi Zheng |
| 2020 | MICCAI | Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. | Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen |
| 2020 | MICCAI | Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification. | Jin Li, Chenyuan Bian, Dandan Chen, Xianglian Meng, Haoran Luo, Hong Liang, Li Shen |
| 2020 | MICCAI | Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. | Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei |
| 2020 | NPC | A Multi-model Super-Resolution Training and Reconstruction Framework. | Ninghui Yuan, Dunbo Zhang, Qiong Wang, Li Shen |
| 2020 | PSB | Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification andRegression Model. | Lodewijk Brand, Kai Nichols, Hua Wang, Heng Huang, Li Shen |
| 2019 | CISIS | Multi-criteria Group Decision Making and Group Agreement Quotient Analysis Based on the Delphi Method. | Song Lin, Li Shen, Caiquan Xiong, Xuan Li |
| 2019 | CVPR | A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem. | Ganzhao Yuan, Li Shen, Wei-Shi Zheng |
| 2019 | CVPR | A Sufficient Condition for Convergences of Adam and RMSProp. | Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu |
| 2019 | IGARSS | A Fine-Grained Fully Convolutional Network For Extraction of Building Along High-Speed Rail Lines from VHR Remote Sensing Image. | Wenfan Qiao, Li Shen, Jicheng Wang, Yungang Cao, Shi He, Yanshuai Dai |
| 2019 | IJCAI | Discrete Trust-aware Matrix Factorization for Fast Recommendation. | Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He |
| 2019 | IJCNN | Fine-grained Adversarial Image Inpainting with Super Resolution. | Yang Li, Bitao Jiang, Yao Lu, Li Shen |
| 2019 | IGARSS | Detection of Vegetation Areas Attacked By Pests and Diseases Based on Adaptively Weighted Enhanced Global and Local Deep Features. | Yanshuai Dai, Li Shen, Yungang Cao, Tianjie Lei, Wenfan Qiao |
| 2019 | IGARSS | Landslide Image Classification Using Semi-Supervised Learning. | Shi He, Haitao Jing, Hong Tang, Li Shen, Liangliang Tao, Jiehai Cheng |
| 2019 | MICCAI | Rapid Acceleration of the Permutation Test via Transpositions. | Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen |
| 2019 | MICCAI | A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics. | Lei Du, Fang Liu, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Junwei Han, Lei Guo, Andrew J. Saykin, Li Shen |
| 2019 | MICCAI | Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions. | Lyujian Lu, Saad Elbeleidy, Lauren Zoe Baker, Hua Wang, Heng Huang, Li Shen |
| 2019 | MICCAI | Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. | Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman |
| 2019 | MICCAI | Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank. | Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning |
| 2019 | NPC | MMSR: A Multi-model Super Resolution Framework. | Ninghui Yuan, Zhihao Zhu, Xinzhou Wu, Li Shen |
| 2019 | SIGCOMM | Efficient Dynamic Isolation of Congestion in Lossless DataCenter Networks. | Luis Gonzalez-Naharro, Jess Escudero-Sahuquillo, Pedro Javier Garca, Francisco Jos Quiles Flor, Jos Duato, Wenhao Sun, Li Shen, Xiang Yu, Hewen Zheng |
| 2018 | CVPR | Squeeze-and-Excitation Networks. | Jie Hu, Li Shen, Gang Sun |
| 2018 | ECCV | Comparator Networks. | Weidi Xie, Li Shen, Andrew Zisserman |
| 2018 | HPCC | Efficient Data Communication between CPU and GPU through Transparent Partial-Page Migration. | Shiqing Zhang, YaoHua Yang, Li Shen, Zhiying Wang |
| 2018 | ICML | An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. | Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang |
| 2018 | ISCAS | Adaptive VC Partitioning for NoCs in GPGPUs. | Sheng Ma, Hongyi Lu, Libo Huang, Li Shen, Yang Guo, Zhiying Wang, Wenliang Xue |
| 2018 | MICCAI | Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease. | Lodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2018 | MICCAI | Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. | Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman |
| 2018 | MICCAI | Heritability Estimation of Reliable Connectomic Features. | Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaqun Goi, Jingwen Yan, Li Shen |
| 2018 | NPC | GPU Memory Management Solution Supporting Incomplete Pages. | Li Shen, Shiqing Zhang, YaoHua Yang, Zhiying Wang |
| 2018 | PSB | Session introduction. | Heng Huang, Li Shen, Paul M. Thompson, Kun Huang, Junzhou Huang, Lin Yang |
| 2018 | SIGCSE | Design of Practical Experiences to Improve Student Understanding of Efficiency and Scalability Issues in High Performance Computing: (Abstract Only). | Juan Chen, Li Shen, Jianping Yin, Chunyuan Zhang |
| 2017 | AAAI | Adaptive Proximal Average Approximation for Composite Convex Minimization. | Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma |
| 2017 | ICASSP | Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. | Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2017 | ICML | GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. | Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma |
| 2017 | IGARSS | Fast and robust structure-based multimodal geospatial image matching. | Yuanxin Ye, Lorenzo Bruzzone, Jie Shan, Li Shen |
| 2017 | ISPA | OTR: A Fine-Grained Dynamic Power Scaling Pipeline Based on Trace. | Sijiang Fan, Jiawei Fei, Ximing He, Li Shen, Zhiying Wang |
| 2017 | ISPA | Parallel Computing in DNNs Using CPU and MIC. | Sijiang Fan, Shiqing Zhang, Ximing He, Jiawei Fei, Li Shen, Zhiying Wang |
| 2017 | MICCAI | A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics. | Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen |
| 2017 | MICCAI | Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. | Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen |
| 2017 | MICRO | Unleashing the power of GPU for physically-based rendering via dynamic ray shuffling. | Ya-Shuai L, Libo Huang, Li Shen, Zhiying Wang |
| 2017 | PSB | Session Introduction. | Li Shen, Lee A. D. Cooper |
| 2017 | PSB | Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. | Jingwen Yan, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen |
| 2017 | RECOMB | Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. | Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang |
| 2016 | AAAI | Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. | Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie |
| 2016 | ECCV | Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks. | Li Shen, Zhouchen Lin, Qingming Huang |
| 2016 | HPCC | A Hybrid Power-Performance Adjustment Strategy for Clustered Multi-threading Architecture. | Jingwei Chen, Qiong Wang, Bo Su, Li Shen, Zhiying Wang |
| 2016 | ICDM | New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules. | Dijun Luo, Zhouyuan Huo, Yang Wang, Andrew J. Saykin, Li Shen, Heng Huang |
| 2016 | ICNC | An Energy Correction Wavelet Model for traffic in terminal communication access network. | Li Shen, Yinming Zhang, Jingzhao Luan, Lingkang Zeng, Zhu Liu, Shimo Du, Delin Fu, Liangrui Tang |
| 2016 | PSB | Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. | Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen |
| 2016 | TrustCom | Fast Task Submission in Software Thread Level Speculation Systems. | Yemao Xu, Jialong Wang, Yanhong Liu, Li Shen |
| 2015 | CVPR | Shadow optimization from structured deep edge detection. | Li Shen, Teck Wee Chua, Karianto Leman |
| 2015 | FPGA | FPGA Acceleration for Simultaneous Image Reconstruction and Segmentation based on the Mumford-Shah Regularization (Abstract Only). | Wentai Zhang, Li Shen, Thomas Page, Guojie Luo, Peng Li, Peter Maa, Ming Jiang, Jason Cong |
| 2015 | IGARSS | Research on relationship between remote sensing image quality and performance of interest point detection. | Jicheng Wang, Yuanxin Ye, Li Shen, Zhipeng Li, Songbo Wu |
| 2015 | IGARSS | Automatic matching of optical and SAR imagery through shape property. | Yuanxin Ye, Li Shen, Jicheng Wang, Zhipeng Li, Zhu Xu |
| 2015 | IJCAI | Adaptive Sharing for Image Classification. | Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, Enhua Wu |
| 2015 | MICCAI | Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. | Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaqun Goi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang |
| 2014 | CVPR | A New Perspective on Material Classification and Ink Identification. | Rakesh Shiradkar, Li Shen, George V. Landon, Sim Heng Ong, Ping Tan |
| 2014 | ICA3PP | Improving Speculation Accuracy with Inter-thread Fetching Value Prediction. | Fan Xu, Li Shen, Zhiying Wang, Hui Guo, Bo Su, Wei Chen |
| 2014 | ICIP | Sharing model with multi-level feature representations. | Li Shen, Gang Sun, Shuhui Wang, Enhua Wu, Qingming Huang |
| 2014 | MICCAI | A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. | Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2014 | MICCAI | Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. | De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang |
| 2014 | MICRO | PPEP: Online Performance, Power, and Energy Prediction Framework and DVFS Space Exploration. | Bo Su, Junli Gu, Li Shen, Wei Huang, Joseph L. Greathouse, Zhiying Wang |
| 2014 | USENIX | Implementing a Leading Loads Performance Predictor on Commodity Processors. | Bo Su, Joseph L. Greathouse, Junli Gu, Michael Boyer, Li Shen, Zhiying Wang |
| 2013 | CVPR | Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization. | Li Shen, Shuhui Wang, Gang Sun, Shuqiang Jiang, Qingming Huang |
| 2013 | HPCC | DCP: Improving the Throughput of Asynchronous Pipeline by Dual Control Path. | Bo Su, Li Shen, Lei Wang, Zhiying Wang, Yourui Wang, Libo Huang, Wei Shi |
| 2013 | ICPP | HEUSPEC: A Software Speculation Parallel Model. | Fan Xu, Li Shen, Zhiying Wang, Hui Guo, Bo Su, Wei Chen |
| 2013 | MICCAI | Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies. | Derrek P. Hibar, Sarah E. Medland, Jason L. Stein, Sungeun Kim, Li Shen, Andrew J. Saykin, Greig I. de Zubicaray, Katie McMahon, Grant W. Montgomery, Nicholas G. Martin, Margaret J. Wright, Srdjan Djurovic, Ingrid Agartz, Ole A. Andreassen, Paul M. Thompson |
| 2013 | MICCAI | A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. | Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen |
| 2013 | MICCAI | A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI). | Dokyoon Kim, Sungeun Kim, Shannon L. Risacher, Li Shen, Marylyn D. Ritchie, Michael W. Weiner, Andrew J. Saykin, Kwangsik Nho |
| 2013 | MICCAI | PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease. | Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Mark Inlow, Shanker Swaminathan, Karmen K. Yoder, Li Shen, John D. West, Brenna C. McDonald, Eileen F. Tallman, Gary D. Hutchins, James W. Fletcher, Martin R. Farlow, Bernardino Ghetti, Andrew J. Saykin |
| 2013 | MICCAI | Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. | Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2012 | CSCW | A collaborative sketch animation creation system on mobile devices. | Danli Wang, Li Shen, Hongan Wang |
| 2012 | CVPR | Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. | Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2012 | IGARSS | An object-oriented clustering algorithm for VHR panchromatic images using nonparametric latent Dirichlet allocation. | Yinfeng Qi, Hong Tang, Yang Shu, Li Shen, Jianwei Yue, Weiguo Jiang |
| 2012 | MICCAI | Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. | Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen |
| 2012 | TrustCom | Dynamic Optimization on Multi-core Platform. | Jiahui Wen, Li Shen, Zhiying Wang |
| 2011 | CVPR | Intrinsic images decomposition using a local and global sparse representation of reflectance. | Li Shen, Chuohao Yeo |
| 2011 | DATE | A specialized low-cost vectorized loop buffer for embedded processors. | Libo Huang, Zhiying Wang, Li Shen, Hongyi Lu, Nong Xiao, Cong Liu |
| 2011 | ICCD | Special-purposed VLIW architecture for IEEE-754 quadruple precision elementary functions on FPGA. | Yuanwu Lei, Yong Dou, Li Shen, Jie Zhou, Song Guo |
| 2011 | ICCD | A novel shared-buffer router for network-on-chip based on Hierarchical Bit-line Buffer. | Wei Shi, Weixia Xu, Hongguang Ren, Qiang Dou, Zhiying Wang, Li Shen, Cong Liu |
| 2011 | ICCV | Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. | Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen |
| 2011 | ICPADS | Characterizing Fine-Grain Parallelism on Modern Multicore Platform. | Xuhao Chen, Wei Chen, Jiawen Li, Zhong Zheng, Li Shen, Zhiying Wang |
| 2011 | MICCAI | Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net. | Li Shen, Sungeun Kim, Yuan (Alan) Qi, Mark Inlow, Shanker Swaminathan, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Leslie M. Shaw, John Q. Trojanowski, Michael W. Weiner, Andrew J. Saykin |
| 2011 | MICCAI | Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression. | Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2011 | MICCAI | Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models. | Jing Wan, Sungeun Kim, Mark Inlow, Kwangsik Nho, Shanker Swaminathan, Shannon L. Risacher, Shiaofen Fang, Michael W. Weiner, Mirza Faisal Beg, Lei Wang, Andrew J. Saykin, Li Shen |
| 2010 | HPCA | SIF: Overcoming the limitations of SIMD devices via implicit permutation. | Libo Huang, Li Shen, Zhiying Wang, Wei Shi, Nong Xiao, Sheng Ma |
| 2010 | ICNC | Application of pattern recognition to the | Hui Xu, Feng Li, Fuzhong Xue, Li Shen |
| 2010 | ISCAS | Permutation optimization for SIMD devices. | Libo Huang, Li Shen, Zhiying Wang |
| 2010 | ICS | FPGA accelerating double/quad-double high precision floating-point applications for ExaScale computing. | Yong Dou, Yuanwu Lei, Guiming Wu, Song Guo, Jie Zhou, Li Shen |
| 2010 | MICCAI | Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction. | Li Shen, Yuan (Alan) Qi, Sungeun Kim, Kwangsik Nho, Jing Wan, Shannon L. Risacher, Andrew J. Saykin |
| 2009 | CIBCB | Data synthesis and tool development for exploring imaging genomic patterns. | Sungeun Kim, Li Shen, Andrew J. Saykin, John D. West |
| 2009 | CVPR | Photometric stereo and weather estimation using internet images. | Li Shen, Ping Tan |
| 2009 | ICPADS | A Light-weight Code Cache Design for Dynamic Binary Translation. | Wei Chen, Li Shen, Hongyi Lu, Zhiying Wang, Nong Xiao |
| 2009 | ISPA | Using Pcache to Speedup Interpretation in Dynamic Binary Translation. | Wei Chen, Hongyi Lu, Li Shen, Zhiying Wang, Nong Xiao |
| 2008 | CVPR | Intrinsic image decomposition with non-local texture cues. | Li Shen, Ping Tan, Stephen Lin |
| 2008 | DAC | Customizing computation accelerators for extensible multi-issue processors with effective optimization techniques. | Ya-Shuai L, Li Shen, Libo Huang, Zhiying Wang, Nong Xiao |
| 2008 | EUC | DBTIM: An Advanced Hardware Assisted Full Virtualization Architecture. | Wei Chen, Hongyi Lu, Li Shen, Zhiying Wang, Nong Xiao |
| 2007 | ARITH | A New Architecture For Multiple-Precision Floating-Point Multiply-Add Fused Unit Design. | Libo Huang, Li Shen, Kui Dai, Zhiying Wang |
| 2007 | BIBE | Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study. | Li Shen, Andrew J. Saykin, Moo K. Chung, Heng Huang |
| 2007 | ICIP | Surface Harmonics for Shape Modeling. | Heng Huang, Li Shen |
| 2007 | PG | Illumination Brush: Interactive Design of All-Frequency Lighting. | Makoto Okabe, Yasuyuki Matsushita, Li Shen, Takeo Igarashi |
| 2006 | APBC | A Generalized Output-Coding Scheme with SVM for Multiclass Microarray Classification. | Li Shen, Eng Chong Tan |
| 2006 | CVPR | Spatial Reflectance Recovery under Complex Illumination from Sparse Images. | Li Shen, Haruo Takemura |
| 2005 | APBC | PLS and SVD based penalized logistic regression for cancer classification using microarray data. | Li Shen, Eng Chong Tan |
| 2005 | ICNC | Nonlinear Kernel MSE Methods for Cancer Classification. | Li Shen, Eng Chong Tan |
| 2005 | MICCAI | Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysis. | Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman |
| 2005 | MICCAI | A Prediction Framework for Cardiac Resynchronization Therapy Via 4D Cardiac Motion Analysis. | Heng Huang, Li Shen, Rong Zhang, Fillia Makedon, Bruce Hettleman, Justin D. Pearlman |
| 2005 | SAC | A clustering-based approach for prediction of cardiac resynchronization therapy. | Heng Huang, Li Shen, Fillia Makedon, Sheng Zhang, Mark Greenberg, Ling Gao, Justin D. Pearlman |
| 2004 | ISIT | Blind recognition of punctured convolutional codes. | Peizhong Lu, Li Shen, Xiangyang Luo, Yan Zou |
| 2003 | MICCAI | Morphometric Analysis of Brain Structures for Improved Discrimination. | Li Shen, James Ford, Fillia Makedon, Yuhang Wang, Tilmann Steinberg, Song Ye, Andrew J. Saykin |
| 2003 | SSDBM | A Spatio-temporal Multi-modal Data Management and Analysis Environment for Tracking MS Lesions. | Tilmann Steinberg, Yuhang Wang, Fillia Makedon, Li Shen, Andrew J. Saykin, Heather Wishart |
| 2001 | ISMAR | A Quick Method for Synthesizing Photorealistic Color Images under Various Illumination Conditions. | Li Shen, Noboru Babaguchi, Tadahiro Kitahashi |
| 1998 | DEXA | Mining Flexible Multiple-Level Association Rules in All Concept Hierarchies (Extended Abstract). | Li Shen, Hong Shen |
| 1983 | ITC | A Simplified Algorithm for Testing Microprocessors. | Kewal K. Saluja, Li Shen, Stephen Y. H. Su |