Li Shen

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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* Accepted to ShapeMI workshop

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Comparator Networks

Jul 30, 2018
Weidi Xie, Li Shen, Andrew Zisserman

* To appear in ECCV 2018

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VGGFace2: A dataset for recognising faces across pose and age

May 13, 2018
Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman

* This paper has been accepted by IEEE Conference on Automatic Face and Gesture Recognition (F&G), 2018. (Oral)

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Drug Recommendation toward Safe Polypharmacy

Mar 08, 2018
Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning

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End-to-end Training for Whole Image Breast Cancer Diagnosis using An All Convolutional Design

Nov 15, 2017
Li Shen

* Accepted poster at NIPS 2017 Workshop on Machine Learning for Health (https://ml4health.github.io/2017/)

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Contour Detection from Deep Patch-level Boundary Prediction

May 09, 2017
Teck Wee Chua, Li Shen

* IEEE International Conference on Signal and Image Processing 2017

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Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks

Apr 03, 2016
Li Shen, Zhouchen Lin, Qingming Huang

* Technical report for our submissions to the ILSVRC 2015 Scene Classification Challenge, where we won the first place

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Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks

Mar 24, 2016
Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, Xiaohui Xie

* AAAI 2016 conference

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Shadow Optimization from Structured Deep Edge Detection

May 08, 2015
Li Shen, Teck Wee Chua, Karianto Leman

* 8 pages. CVPR 2015

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