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Hybrid Discriminative-Generative Training via Contrastive Learning

Jul 17, 2020
Hao Liu, Pieter Abbeel

* Code: https://github.com/lhao499/HDGE 

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Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine

Jul 11, 2020
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong

* KDD 2020 applied data science track 

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SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis

May 20, 2020
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu

* Accepted by ACL2020 

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PuzzleNet: Scene Text Detection by Segment Context Graph Learning

Feb 26, 2020
Hao Liu, Antai Guo, Deqiang Jiang, Yiqing Hu, Bo Ren


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Predicting Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and Recurrent Neural Networks

Feb 22, 2020
Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang

* The Astrophysical Journal, Volume 890, Number 1, 2020 
* 12 pages, 2 figures. arXiv admin note: text overlap with arXiv:1905.07095 

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Curvature Regularized Surface Reconstruction from Point Cloud

Jan 22, 2020
Yuchen He, Sung Ha Kang, Hao Liu

* 22 pages, 15 figures 

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Learning functions varying along an active subspace

Jan 22, 2020
Hao Liu, Wenjing Liao

* 37 pages, 13 figures 

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Deep Learning for 3D Point Clouds: A Survey

Dec 27, 2019
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun

* https://github.com/QingyongHu/SoTA-Point-Cloud 

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A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compression

Dec 20, 2019
Hao Liu, Hui Yuan, Qi Liu, Junhui Hou, Ju Liu

* 17pages, has been accepted by IEEE Transactions on Boradcasting 

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Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos

Dec 16, 2019
Congcong Zhu, Hao Liu, Zhenhua Yu, Xuehong Sun

* Accepted by AAAI 2020 

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Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction

Nov 24, 2019
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

* 8 pages, 9 figures, AAAI-2020 

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Triply Robust Off-Policy Evaluation

Nov 16, 2019
Anqi Liu, Hao Liu, Anima Anandkumar, Yisong Yue

* Preliminary Work 

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Dense Scale Network for Crowd Counting

Jun 24, 2019
Feng Dai, Hao Liu, Yike Ma, Juan Cao, Qiang Zhao, Yongdong Zhang


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Predicting Solar Flares Using a Long Short-Term Memory Network

May 17, 2019
Hao Liu, Chang Liu, Jason T. L. Wang, Haimin Wang

* 19 pages, 10 figures 

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Competitive Experience Replay

Feb 17, 2019
Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong

* Published as a conference paper at Seventh International Conference on Learning Representations(ICLR 2019) 

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Sequence-based Person Attribute Recognition with Joint CTC-Attention Model

Nov 27, 2018
Hao Liu, Jingjing Wu, Jianguo Jiang, Meibin Qi, Bo Ren


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Variational Inference with Tail-adaptive f-Divergence

Oct 29, 2018
Dilin Wang, Hao Liu, Qiang Liu

* Conference on Neural Information Processing Systems (NIPS) 2018 

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Large-scale Bisample Learning on ID vs. Spot Face Recognition

Jun 11, 2018
Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Stan Z. Li


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Action-depedent Control Variates for Policy Optimization via Stein's Identity

Feb 23, 2018
Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

* The first two authors contributed equally. Author ordering determined by coin flip over a Google Hangout. Accepted by ICLR 2018 

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On Connecting Stochastic Gradient MCMC and Differential Privacy

Dec 25, 2017
Bai Li, Changyou Chen, Hao Liu, Lawrence Carin


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Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

Nov 21, 2017
Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin

* The first two authors contributed equally, 8 pages, accepted in AAAI 2018 

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Triangle Generative Adversarial Networks

Nov 18, 2017
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

* To appear in NIPS 2017 

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ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Nov 05, 2017
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

* NIPS 2017 (22 pages); short version (9 pages): http://people.duke.edu/~cl319/doc/papers/nips_2017_alice.pdf 

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Neural Person Search Machines

Jul 21, 2017
Hao Liu, Jiashi Feng, Zequn Jie, Karlekar Jayashree, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan

* ICCV2017 camera ready 

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Video-based Person Re-identification with Accumulative Motion Context

Jun 13, 2017
Hao Liu, Zequn Jie, Karlekar Jayashree, Meibin Qi, Jianguo Jiang, Shuicheng Yan, Jiashi Feng

* accepted by TCSVT 

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Stochastic Sequential Neural Networks with Structured Inference

May 24, 2017
Hao Liu, Haoli Bai, Lirong He, Zenglin Xu


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End-to-End Comparative Attention Networks for Person Re-identification

Apr 28, 2017
Hao Liu, Jiashi Feng, Meibin Qi, Jianguo Jiang, Shuicheng Yan


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