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

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments

Jan 17, 2021
Anqi Liu, Hao Liu, Tongxin Li, Saeed Karimi-Bidhendi, Yisong Yue, Anima Anandkumar


  Access Paper or Ask Questions

Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix

Jan 16, 2021
Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman

* 22 pages 

  Access Paper or Ask Questions

Spatial Object Recommendation with Hints: When Spatial Granularity Matters

Jan 08, 2021
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong

* SIGIR Conference (2020) 781-790 

  Access Paper or Ask Questions

Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

Jan 05, 2021
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

* 9 pages, 6 figures 

  Access Paper or Ask Questions

UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning

Dec 31, 2020
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang

* 11 pages 

  Access Paper or Ask Questions

Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks

Nov 03, 2020
Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao


  Access Paper or Ask Questions

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

Oct 02, 2020
Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu

* arXiv admin note: substantial text overlap with arXiv:2008.12001 

  Access Paper or Ask Questions

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

Sep 16, 2020
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

* Accepted by ICDM 2020. In this version, we revised some typos or mistakes for camera-ready 

  Access Paper or Ask Questions

DARWIN: A Highly Flexible Platform for Imaging Research in Radiology

Sep 02, 2020
Lufan Chang, Wenjing Zhuang, Richeng Wu, Sai Feng, Hao Liu, Jing Yu, Jia Ding, Ziteng Wang, Jiaqi Zhang


  Access Paper or Ask Questions

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning

Aug 27, 2020
Haodi Jiang, Jiasheng Wang, Chang Liu, Ju Jing, Hao Liu, Jason T. L. Wang, Haimin Wang

* The Astrophysical Journal Supplement Series, 250:5 (13pp), 2020 
* 17 pages, 12 figures 

  Access Paper or Ask Questions

A Color Elastica Model for Vector-Valued Image Regularization

Aug 19, 2020
Hao Liu, Xue-Cheng Tai, Ron Kimmel, Roland Glowinski


  Access Paper or Ask Questions

Hybrid Discriminative-Generative Training via Contrastive Learning

Aug 10, 2020
Hao Liu, Pieter Abbeel

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

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

PuzzleNet: Scene Text Detection by Segment Context Graph Learning

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Curvature Regularized Surface Reconstruction from Point Cloud

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

* 22 pages, 15 figures 

  Access Paper or Ask Questions

Learning functions varying along an active subspace

Jan 22, 2020
Hao Liu, Wenjing Liao

* 37 pages, 13 figures 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Triply Robust Off-Policy Evaluation

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

* Preliminary Work 

  Access Paper or Ask Questions

Dense Scale Network for Crowd Counting

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


  Access Paper or Ask Questions