Li Shen - RankMe

54 papers A* 12A 1B 2Journal 34Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Image-to-video Adaptation with Outlier Modeling and Robust Self-learning. AAAI Junbao Zhuo, Shuhui Wang, Zhenghan Chen, Li Shen, Qingming Huang, Huimin Ma
2025	J	`jnl`	Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing. CoRR Kunfeng Lai, Zhenheng Tang, Xinglin Pan, Peijie Dong, Xiang Liu, Haolan Chen, Li Shen, Bo Li, Xiaowen Chu
2024	J	`jnl`	DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation. IEEE Trans. Pattern Anal. Mach. Intell. Fa-Ting Hong, Li Shen, Dan Xu
2023	J	`jnl`	DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation. CoRR Fa-Ting Hong, Li Shen, Dan Xu
2023	—	`conf`	DeSRF: Deformable Stylized Radiance Field. CVPR Workshops Shiyao Xu, Lingzhi Li, Li Shen, Zhouhui Lian
2023	J	`jnl`	High-Resolution Volumetric Reconstruction for Clothed Humans. ACM Trans. Graph. Sicong Tang, Guangyuan Wang, Qing Ran, Lingzhi Li, Li Shen, Ping Tan
2023	—	`conf`	Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. CoLLAs Shenao Zhang, Li Shen, Lei Han, Li Shen
2022	J	`jnl`	AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu
2022	J	`jnl`	Curriculum-based Asymmetric Multi-task Reinforcement Learning. CoRR Hanchi Huang, Deheng Ye, Li Shen, Wei Liu
2022	A*	`conf`	Depth-Aware Generative Adversarial Network for Talking Head Video Generation. CVPR Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu
2022	J	`jnl`	Depth-Aware Generative Adversarial Network for Talking Head Video Generation. CoRR Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu
2022	J	`jnl`	Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis. CoRR Congliang Chen, Li Shen, Wei Liu, Zhi-Quan Luo
2022	J	`jnl`	Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration. J. Mach. Learn. Res. Congliang Chen, Li Shen, Fangyu Zou, Wei Liu
2022	—	`conf`	Your3dEmoji: Creating Personalized Emojis via One-shot 3D-aware Cartoon Avatar Synthesis. SIGGRAPH Asia Technical Communications Shiyao Xu, Lingzhi Li, Li Shen, Yifang Men, Zhouhui Lian
2021	J	`jnl`	Attacking Adversarial Attacks as A Defense. CoRR Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu
2021	A	`conf`	Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. AISTATS Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo
2021	J	`jnl`	FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. CoRR Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr
2021	J	`jnl`	Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning. CoRR Shenao Zhang, Li Shen, Lei Han, Li Shen
2021	J	`jnl`	Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search. CoRR Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Haozhi Huang, Guangming Shi
2021	J	`jnl`	Structure-Regularized Attention for Deformable Object Representation. CoRR Shenao Zhang, Li Shen, Zhifeng Li, Wei Liu
2021	J	`jnl`	Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration. CoRR Congliang Chen, Li Shen, Fangyu Zou, Wei Liu
2020	J	`jnl`	A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients. CoRR Xiaojun Chen, Shu Yang, Li Shen, Xuanrong Pang
2020	J	`jnl`	AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks. CoRR Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu
2020	J	`jnl`	CPOT: Channel Pruning via Optimal Transport. CoRR Yucong Shen, Li Shen, Hao-Zhi Huang, Xuan Wang, Wei Liu
2020	A*	`conf`	Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. ICML Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
2020	J	`jnl`	Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks. CoRR Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang
2020	J	`jnl`	FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
2020	A*	`conf`	MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. CVPR Chaoyang He, Haishan Ye, Li Shen, Tong Zhang
2020	J	`jnl`	MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. CoRR Chaoyang He, Haishan Ye, Li Shen, Tong Zhang
2020	J	`jnl`	Quantized Adam with Error Feedback. CoRR Congliang Chen, Li Shen, Haozhi Huang, Wei Liu
2020	J	`jnl`	Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning. CoRR Jie An, Tao Li, Haozhi Huang, Li Shen, Xuan Wang, Yongyi Tang, Jinwen Ma, Wei Liu, Jiebo Luo
2020	J	`jnl`	Squeeze-and-Excitation Networks. IEEE Trans. Pattern Anal. Mach. Intell. Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu
2019	A*	`conf`	A Sufficient Condition for Convergences of Adam and RMSProp. CVPR Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu
2018	J	`jnl`	A Sufficient Condition for Convergences of Adam and RMSProp. CoRR Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu
2018	A*	`conf`	An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. ICML Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang
2018	J	`jnl`	An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method. CoRR Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang
2018	—	`conf`	Comparator Networks. ECCV (11) Weidi Xie, Li Shen, Andrew Zisserman
2018	J	`jnl`	Comparator Networks. CoRR Weidi Xie, Li Shen, Andrew Zisserman
2018	A*	`conf`	Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. NeurIPS Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
2018	J	`jnl`	Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. CoRR Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
2018	J	`jnl`	On the Convergence of AdaGrad with Momentum for Training Deep Neural Networks. CoRR Fangyu Zou, Li Shen
2018	A*	`conf`	Squeeze-and-Excitation Networks. CVPR Jie Hu, Li Shen, Gang Sun
2018	B	`conf`	VGGFace2: A Dataset for Recognising Faces across Pose and Age. FG Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman
2017	A*	`conf`	GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. ICML Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma
2017	J	`jnl`	Squeeze-and-Excitation Networks. CoRR Jie Hu, Li Shen, Gang Sun
2017	J	`jnl`	VGGFace2: A dataset for recognising faces across pose and age. CoRR Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman
2016	A*	`conf`	Co-Occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks. AAAI Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie
2016	J	`jnl`	Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks. CoRR Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie
2016	—	`conf`	Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks. ECCV (7) Li Shen, Zhouchen Lin, Qingming Huang
2015	A*	`conf`	Adaptive Sharing for Image Classification. IJCAI Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, Enhua Wu
2015	J	`jnl`	Learning Deep Convolutional Neural Networks for Places2 Scene Recognition. CoRR Li Shen, Zhouchen Lin, Qingming Huang
2015	J	`jnl`	Multi-Level Discriminative Dictionary Learning With Application to Large Scale Image Classification. IEEE Trans. Image Process. Li Shen, Gang Sun, Qingming Huang, Shuhui Wang, Zhouchen Lin, Enhua Wu
2014	B	`conf`	Sharing model with multi-level feature representations. ICIP Li Shen, Gang Sun, Shuhui Wang, Enhua Wu, Qingming Huang
2013	A*	`conf`	Multi-level Discriminative Dictionary Learning towards Hierarchical Visual Categorization. CVPR Li Shen, Shuhui Wang, Gang Sun, Shuqiang Jiang, Qingming Huang