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Li Shen

S2Looking: A Satellite Side-Looking Dataset for Building Change Detection


Jul 20, 2021
Li Shen, Yao Lu, Hao Chen, Hao Wei, Donghai Xie, Jiabao Yue, Rui Chen, Yue Zhang, Ao Zhang, Shouye Lv, Bitao Jiang

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Sparse Training via Boosting Pruning Plasticity with Neuroregeneration


Jun 19, 2021
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

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Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems


Jun 18, 2021
Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, Dacheng Tao

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* 24 pages 
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Structure-Regularized Attention for Deformable Object Representation


Jun 12, 2021
Shenao Zhang, Li Shen, Zhifeng Li, Wei Liu

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* Published at NeurIPS 2020 Workshop on Object Representations for Learning and Reasoning; code is available at https://github.com/shenao-zhang/StRA 
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Attacking Adversarial Attacks as A Defense


Jun 09, 2021
Boxi Wu, Heng Pan, Li Shen, Jindong Gu, Shuai Zhao, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

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Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search


May 09, 2021
Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Haozhi Huang, Guangming Shi

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Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity


Mar 31, 2021
Yuanxin Ye, Jie Shan, Lorenzo Bruzzone, Li Shen

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Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration


Jan 14, 2021
Congliang Chen, Li Shen, Fangyu Zou, Wei Liu

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* 44 Pages. arXiv admin note: substantial text overlap with arXiv:1811.09358 
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Adaptive Compact Attention For Few-shot Video-to-video Translation


Nov 30, 2020
Risheng Huang, Li Shen, Xuan Wang, Cheng Lin, Hao-Zhi Huang

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* Video available: https://youtu.be/1OCFbUrypKQ 
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A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients


Oct 26, 2020
Xiaojun Chen, Shu Yang, Li Shen, Xuanrong Pang

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* 20 
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Grouping effects of sparse CCA models in variable selection


Aug 07, 2020
Kefei Liu, Qi Long, Li Shen

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FedML: A Research Library and Benchmark for Federated Machine Learning


Jul 27, 2020
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

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* We maintain the source code, documents, and user community at https://fedml.ai 
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Task-agnostic Temporally Consistent Facial Video Editing


Jul 03, 2020
Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo

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Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning


Jun 23, 2020
Jie An, Tao Li, Haozhi Huang, Li Shen, Xuan Wang, Yongyi Tang, Jinwen Ma, Wei Liu, Jiebo Luo

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AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks


Jun 16, 2020
Yuesong Tian, Li Shen, Li Shen, Guinan Su, Zhifeng Li, Wei Liu

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CPOT: Channel Pruning via Optimal Transport


May 21, 2020
Yucong Shen, Li Shen, Hao-Zhi Huang, Xuan Wang, Wei Liu

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* 11 pages 
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Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks


May 05, 2020
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan, Li Shen, Wei Liu, Tianbao Yang

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Quantized Adam with Error Feedback


Apr 29, 2020
Congliang Chen, Li Shen, Haozhi Huang, Qi Wu, Wei Liu

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MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation


Mar 27, 2020
Chaoyang He, Haishan Ye, Li Shen, Tong Zhang

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* This paper is published in CVPR 2020 (IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020) 
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Generalized Embedding Machines for Recommender Systems


Feb 16, 2020
Enneng Yang, Xin Xin, Li Shen, Guibing Guo

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* 8 pages 
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Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning


Nov 19, 2019
Yingru Liu, Xuewen Yang, Dongliang Xie, Xin Wang, Li Shen, Haozhi Huang, Niranjan Balasubramanian

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* To appear in AAAI-2020 
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MAP Inference via L2-Sphere Linear Program Reformulation


May 09, 2019
Baoyuan Wu, Li Shen, Bernard Ghanem, Tong Zhang

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Drug-drug interaction prediction based on co-medication patterns and graph matching


Feb 22, 2019
Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning

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A Sufficient Condition for Convergences of Adam and RMSProp


Nov 23, 2018
Fangyu Zou, Li Shen, Zequn Jie, Weizhong Zhang, Wei Liu

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* This paper provides a sufficient condition for the global convergences of Adam and RMSProp 
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Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks


Oct 29, 2018
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi

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* accepted for publication at NIPS 2018 
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Squeeze-and-Excitation Networks


Oct 25, 2018
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu

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* journal version of the CVPR 2018 paper, submitted to IEEE Trans. PAMI 
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On the Convergence of Weighted AdaGrad with Momentum for Training Deep Neural Networks


Sep 28, 2018
Fangyu Zou, Li Shen

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* We generalize AdaGrad to Weighted Adagrad. Discussion with Adam and RMSProp are provided in Section 4 
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End-to-end Training for Whole Image Breast Cancer Screening using An All Convolutional Design


Sep 22, 2018
Li Shen, Laurie R. Margolies, Joseph H. Rothstein, Eugene Fluder, Russell McBride, Weiva Sieh

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* Include additional authors and text changes 
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Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms


Aug 10, 2018
Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman

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* Accepted to ShapeMI workshop 
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