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Orthogonal Over-Parameterized Training

Apr 09, 2020
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song

* Technical Report 

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NEW: A Generic Learning Model for Tie Strength Prediction in Networks

Jan 15, 2020
Zhen Liu, Hu li, Chao Wang


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A Compared Study Between Some Subspace Based Algorithms

Dec 23, 2019
Xing Liu, Xiao-Jun Wu, Zhen Liu, He-Feng Yin

* 13 pages, 5 figures 

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Visual-Textual Association with Hardest and Semi-Hard Negative Pairs Mining for Person Search

Dec 06, 2019
Jing Ge, Guangyu Gao, Zhen Liu


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Neural Similarity Learning

Dec 06, 2019
Weiyang Liu, Zhen Liu, James M. Rehg, Le Song

* NeurIPS 2019 (v3) 

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Context-endcoding for neural network based skull stripping in magnetic resonance imaging

Oct 23, 2019
Zhen Liu, Borui Xiao, Yuemeng Li, Yong Fan

* draft for skull strip 

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Compressive Hyperspherical Energy Minimization

Jun 12, 2019
Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song


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Exponential Family Estimation via Adversarial Dynamics Embedding

Apr 27, 2019
Bo Dai, Zhen Liu, Hanjun Dai, Niao He, Arthur Gretton, Le Song, Dale Schuurmans

* 66 figures, 25 pages; preliminary version published in NeurIPS2018 Bayesian Deep Learning Workshop 

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Learning towards Minimum Hyperspherical Energy

Oct 27, 2018
Weiyang Liu, Rongmei Lin, Zhen Liu, Lixin Liu, Zhiding Yu, Bo Dai, Le Song

* NIPS 2018 

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Towards Black-box Iterative Machine Teaching

Jun 05, 2018
Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James M. Rehg, Le Song

* Published in ICML 2018 

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SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation

Jun 05, 2018
Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song

* 28 pages, 13 figures. To appear at the 35th International Conference on Machine Learning (ICML 2018) 

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Deep Forward and Inverse Perceptual Models for Tracking and Prediction

May 20, 2018
Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots

* 8 pages, International Conference on Robotics and Automation (ICRA) 2018 

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Decoupled Networks

Apr 22, 2018
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song

* CVPR 2018 (Spotlight) 

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One-Shot Learning for Semantic Segmentation

Sep 11, 2017
Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots

* To appear in the proceedings of the British Machine Vision Conference (BMVC) 2017. The code is available at https://github.com/lzzcd001/OSLSM 

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Kernelized Deep Convolutional Neural Network for Describing Complex Images

Sep 15, 2015
Zhen Liu

* 9 pages 

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Efficient Bayesian analysis of multiple changepoint models with dependence across segments

Oct 16, 2009
Paul Fearnhead, Zhen Liu

* 26 pages, 4 fgures 

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