Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization. - Li Shen 005; Shuhui Wang; Gang Sun 005; Shuqiang Jiang; Qingming Huang (CVPR, 2013)

Sharing model with multi-level feature representations. - Li Shen 005; Gang Sun 005; Shuhui Wang; Enhua Wu; Qingming Huang (ICIP, 2014)

Adaptive Sharing for Image Classification. - Li Shen 005; Gang Sun 005; Zhouchen Lin; Qingming Huang; Enhua Wu (IJCAI, 2015)

Learning Deep Convolutional Neural Networks for Places2 Scene Recognition. - Li Shen 005; Zhouchen Lin; Qingming Huang (CoRR, 2015)

Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification. - Li Shen 005; Gang Sun 005; Qingming Huang; Shuhui Wang; Zhouchen Lin; Enhua Wu (IEEE Trans. Image Process., 2015)

Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. - Wentao Zhu 001; Cuiling Lan; Junliang Xing; Wenjun Zeng 001; Yanghao Li; Li Shen 005; Xiaohui Xie (AAAI, 2016)

Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks. - Li Shen 005; Zhouchen Lin; Qingming Huang (ECCV (7), 2016)

GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. - Li Shen 005; Wei Liu 005; Ganzhao Yuan; Shiqian Ma (ICML, 2017)

Squeeze-and-Excitation Networks. - Jie Hu 019; Li Shen 005; Gang Sun 005 (CVPR, 2018)

Comparator Networks. - Weidi Xie; Li Shen 005; Andrew Zisserman (ECCV (11), 2018)

VGGFace2: A Dataset for Recognising Faces across Pose and Age. - Qiong Cao; Li Shen 005; Weidi Xie; Omkar M. Parkhi; Andrew Zisserman (FG, 2018)

An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. - Li Shen 005; Peng Sun 011; Yitong Wang; Wei Liu 005; Tong Zhang 001 (ICML, 2018)

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. - Jie Hu 019; Li Shen 005; Samuel Albanie; Gang Sun 005; Andrea Vedaldi (NeurIPS, 2018)

On the Convergence of AdaGrad with Momentum for Training Deep Neural Networks. - Fangyu Zou; Li Shen 005 (CoRR, 2018)

A Sufficient Condition for Convergences of Adam and RMSProp. - Fangyu Zou; Li Shen 005; Zequn Jie; Weizhong Zhang; Wei Liu 005 (CVPR, 2019)

MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. - Chaoyang He 001; Haishan Ye; Li Shen 005; Tong Zhang 001 (CVPR, 2020)

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. - Zhishuai Guo; Mingrui Liu; Zhuoning Yuan; Li Shen 005; Wei Liu 005; Tianbao Yang (ICML, 2020)

Quantized Adam with Error Feedback. - Congliang Chen; Li Shen 005; Haozhi Huang 001; Wei Liu 005 (CoRR, 2020)

CPOT: Channel Pruning via Optimal Transport. - Yucong Shen; Li Shen 005; Hao-Zhi Huang 001; Xuan Wang 009; Wei Liu 005 (CoRR, 2020)

Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning. - Jie An 002; Tao Li 040; Haozhi Huang 001; Li Shen 005; Xuan Wang 009; Yongyi Tang; Jinwen Ma; Wei Liu 005; Jiebo Luo 001 (CoRR, 2020)

FedML: A Research Library and Benchmark for Federated Machine Learning. - Chaoyang He 001; Songze Li; Jinhyun So; Mi Zhang 002; Hongyi Wang 001; Xiaoyang Wang; Praneeth Vepakomma; Abhishek Singh 005; Hang Qiu 001; Li Shen 005; Peilin Zhao; Yan Kang 001; et al. (CoRR, 2020)

A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients. - Xiaojun Chen 006; Shu Yang; Li Shen 005; Xuanrong Pang (CoRR, 2020)

Squeeze-and-Excitation Networks. - Jie Hu 019; Li Shen 005; Samuel Albanie; Gang Sun 005; Enhua Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. - Congliang Chen; Jiawei Zhang 007; Li Shen 005; Peilin Zhao; Zhi-Quan Luo (AISTATS, 2021)

Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search. - Han Huang; Li Shen 005; Chaoyang He 001; Weisheng Dong; Haozhi Huang 001; Guangming Shi (CoRR, 2021)

Attacking Adversarial Attacks as A Defense. - Boxi Wu; Heng Pan; Li Shen 005; Jindong Gu; Shuai Zhao 006; Zhifeng Li 001; Deng Cai 001; Xiaofei He 001; Wei Liu 005 (CoRR, 2021)

Structure-Regularized Attention for Deformable Object Representation. - Shenao Zhang; Li Shen 005; Zhifeng Li 001; Wei Liu 005 (CoRR, 2021)

FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. - Chaoyang He 001; Alay Dilipbhai Shah; Zhenheng Tang; Di Fan; Adarshan Naiynar Sivashunmugam; Keerti Bhogaraju; Mita Shimpi; Li Shen 005; Xiaowen Chu 001; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2021)

Depth-Aware Generative Adversarial Network for Talking Head Video Generation. - Fa-Ting Hong; Longhao Zhang; Li Shen 005; Dan Xu 002 (CVPR, 2022)

Your3dEmoji: Creating Personalized Emojis via One-shot 3D-aware Cartoon Avatar Synthesis. - Shiyao Xu; Lingzhi Li 002; Li Shen 005; Yifang Men; Zhouhui Lian (SIGGRAPH Asia Technical Communications, 2022)

Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis. - Congliang Chen; Li Shen 005; Wei Liu 005; Zhi-Quan Luo (CoRR, 2022)

Curriculum-based Asymmetric Multi-task Reinforcement Learning. - Hanchi Huang; Deheng Ye; Li Shen 005; Wei Liu 005 (CoRR, 2022)

Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration. - Congliang Chen; Li Shen 005; Fangyu Zou; Wei Liu 005 (J. Mach. Learn. Res., 2022)

AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks. - Yuesong Tian; Li Shen 008; Li Shen 005; Guinan Su; Zhifeng Li 001; Wei Liu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. - Shenao Zhang; Li Shen 005; Lei Han; Li Shen 008 (CoLLAs, 2023)

DeSRF: Deformable Stylized Radiance Field. - Shiyao Xu; Lingzhi Li 002; Li Shen 005; Zhouhui Lian (CVPR Workshops, 2023)

High-Resolution Volumetric Reconstruction for Clothed Humans. - Sicong Tang; Guangyuan Wang; Qing Ran; Lingzhi Li 002; Li Shen 005; Ping Tan (ACM Trans. Graph., 2023)

DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation. - Fa-Ting Hong; Li Shen 005; Dan Xu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Image-to-video Adaptation with Outlier Modeling and Robust Self-learning. - Junbao Zhuo; Shuhui Wang; Zhenghan Chen; Li Shen 005; Qingming Huang; Huimin Ma 001 (AAAI, 2025)

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing. - Kunfeng Lai; Zhenheng Tang; Xinglin Pan; Peijie Dong; Xiang Liu 001; Haolan Chen; Li Shen 005; Bo Li 001; Xiaowen Chu 001 (CoRR, 2025)