Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Mao Ye

Mao Ye

School of Computer Science and Engineering, University of Electronic Science and Technology of China

VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments


Mar 14, 2021
Lizhen Nie, Mao Ye, Qiang Liu, Dan Nicolae


  Access Paper or Ask Questions

Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough


Oct 29, 2020
Mao Ye, Lemeng Wu, Qiang Liu

* NeurIPS 2020 

  Access Paper or Ask Questions

Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data


Oct 21, 2020
Mao Ye, Dhruv Choudhary, Jiecao Yu, Ellie Wen, Zeliang Chen, Jiyan Yang, Jongsoo Park, Qiang Liu, Arun Kejariwal


  Access Paper or Ask Questions

Go Wide, Then Narrow: Efficient Training of Deep Thin Networks


Jul 01, 2020
Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans

* ICML 2020 

  Access Paper or Ask Questions

SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions


May 29, 2020
Mao Ye, Chengyue Gong, Qiang Liu

* ACL 2020 

  Access Paper or Ask Questions

Unsupervised Feature Selection via Multi-step Markov Transition Probability


May 29, 2020
Yan Min, Mao Ye, Liang Tian, Yulin Jian, Ce Zhu, Shangming Yang


  Access Paper or Ask Questions

Improving Generalized Zero-Shot Learning by Semantic Discriminator


May 28, 2020
Xinpeng Li, Mao Ye, Lihua Zhou, Dan Zhang, Ce Zhu, Yiguang Liu


  Access Paper or Ask Questions

Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation


May 28, 2020
Lihua Zhou, Mao Ye, Xinpeng Li, Ce Zhu, Yiguang Liu, Xue Li


  Access Paper or Ask Questions

Learning Various Length Dependence by Dual Recurrent Neural Networks


May 28, 2020
Chenpeng Zhang, Shuai Li, Mao Ye, Ce Zhu, Xue Li


  Access Paper or Ask Questions

Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting


Mar 23, 2020
Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu


  Access Paper or Ask Questions

Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation


Mar 13, 2020
Hanbin Dai, Liangbo Zhou, Feng Zhang, Zhengyu Zhang, Hong Hu, Xiatian Zhu, Mao Ye

* arXiv admin note: substantial text overlap with arXiv:1910.06278 

  Access Paper or Ask Questions

Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection


Mar 03, 2020
Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu


  Access Paper or Ask Questions

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision


Feb 24, 2020
Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu


  Access Paper or Ask Questions

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework


Feb 21, 2020
Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu


  Access Paper or Ask Questions

Stein Self-Repulsive Dynamics: Benefits From Past Samples


Feb 21, 2020
Mao Ye, Tongzheng Ren, Qiang Liu


  Access Paper or Ask Questions

MaxUp: A Simple Way to Improve Generalization of Neural Network Training


Feb 20, 2020
Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu


  Access Paper or Ask Questions

Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection


Feb 07, 2020
Qifan Song, Yan Sun, Mao Ye, Faming Liang


  Access Paper or Ask Questions

Distribution-Aware Coordinate Representation for Human Pose Estimation


Oct 14, 2019
Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu

* Results on the COCO keypoint detection challenge: 78.9% AP on the test-dev set (Top-1 in the leaderbord by 12 Oct 2019) and 76.4% AP on the test-challenge set. Project page: https://ilovepose.github.io/coco 

  Access Paper or Ask Questions

Fast Human Pose Estimation


Nov 13, 2018
Feng Zhang, Xiatian Zhu, Mao Ye


  Access Paper or Ask Questions

Stein Neural Sampler


Oct 08, 2018
Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng


  Access Paper or Ask Questions

Do Convolutional Neural Networks Learn Class Hierarchy?


Oct 17, 2017
Bilal Alsallakh, Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren

* IEEE Transactions on Visualization and Computer Graphics, Volume: 24, Issue: 1 (2018) 
* Video demo at https://vimeo.com/228263798 

  Access Paper or Ask Questions

Pose-Invariant Face Alignment with a Single CNN


Jul 19, 2017
Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren


  Access Paper or Ask Questions