黄文炳

I am now an Assistant-Researcher at Tsinghua University, working with Prof. Fuchun Sun. I was a senior researcher at Tencent AI Lab from July 2017 to September 2019, where I had a chance of cooperation with Yu Rong, Tingyang Xu, Boqing Gong, Junzhou Huang, and Tong Zhang. I got my Ph.D. degree of computer science from Tsinghua University in July 2017, before which I studied Mathematics at Beihang University. I also spent one wonderful year (2016-2017) visiting ANU, supervised by Prof. Mehrtash Harandi. During my Ph.D. period, I have the honor of working with Deli Zhao, at Beijing Research Center, HTC.

News

[2020-11-03] Invited as an SPC by IJCAI-2021!

[2020-09-27] 2 papers accepted by NeurIPS-2020 !

[2020-08-14] Invited as an SPC/Meta-Reviewer by AAAI-2021!

[2020-08-07] Two papers have been accepted by CIKM-2020!

[2020-05-18] Our proposal of tutorial "Advanced Deep Graph Learning: Deeper, Faster, Robuster, and Unsupervised" has been accepted by KDD'20!

[2020-02-24] 2 papers (of 2 submissions) accepted by CVPR-2020!

[2020-01-11] 1 paper accepted by WWW-2020!

[2020-12-20] 1 paper accepted by ICLR-2020!

[2019-11-11] 3 papers accepted by AAAI-2020!

[2019-09-04] 1 paper accepted by NeurIPS-2019 (spotlight) !


Preprint Papers

(* denotes I am the corresponding author or the co-first author)

Yikai Wang; Wenbing Huang; Bin Fang; Fuchun Sun;

Elastic Interaction of Particles for Robotic Tactile Simulation,

arXiv, 2020.


Wenbing Huang*; Yu Rong* ; Tingyang Xu; Fuchun Sun; Junzhou Huang;

Tackling Over-Smoothing for General Graph Convolutional Networks, (A journal extension of DropEdge)

arXiv, 2020.


Selected Publications on Graph Representation Learning (Please see my google-scholar for full references)

Yu Rong; Yatao Bian; Tingyang Xu; Weiyang Xie; Ying Wei; Wenbing Huang*; Junzhou Huang;

Self-Supervised Graph Transformer on Large-Scale Molecular Data,

Annual Conference on Neural Information Processing Systems (NeurIPS), Online, 2020-12-06 to 2020-12-12.


Yu Rong, Wenbing Huang*, Tingyang Xu, Junzhou Huang,

DropEdge: Towards Deep Graph Convolutional Networks for Node Classification,

International Conference on Representaion Learning (ICLR), Addis Ababa, Ethiopia, 2020


Zhen Peng, Wenbing Huang*, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu and Junzhou Huang,

Graph Representation Learning via Graphical Mutual Information Maximization,

International World Wide Web Conference (WWW), Taibei, China, 2020.


Runhao Zeng, Wenbing Huang*, Mingkui Tan#, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan,

Graph Convolutional Networks for Temporal Action Localization,

International Conference on Computer Vision (ICCV), Seoul, Korea, 2019.


Wenbing Huang, Tong Zhang, Yu Rong, Junzhou Huang.

Adaptive Sampling Towards Fast Graph Representation Learning,

Annual Conference on Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018.

code poster


Selected Publications on Image/Video/Subspace/Mutilmodal Data

Yikai Wang; Wenbing Huang; Fuchun Sun; Tingyang Xu; Yu Rong; Junzhou Huang;

Deep Multimodal Fusion by Channel Exchanging,

Annual Conference on Neural Information Processing Systems (NeurIPS), Online, 2020-12-06 to 2020-12-12.


Runfa Chen; Wenbing Huang; Binghui Huang; Fuchun Sun*; Bin Fang;

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, 2020-6-14 to 2020-6-19.


Wenbing Huang*; Lijie Fan*; Mehrtash Harandi; Lin Ma; Huaping Liu; Wei Liu; Chuang Gan*;

Toward e cient action recognition: Principal backpropagation for training two-stream networks,

IEEE Transactions on Image Processing (TIP), 2019, 28(4):1773-1782.


Lijie Fan; Wenbing Huang*; Chuang Gan; Junzhou Huang; Boqing Gong;

Controllable image-to-video translation: A case study on facial expression generation,

AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, 2019-1-27 to 2019-2-1.


Lijie Fan; Wenbing Huang*; Chuang Gan; Stefano Ermon; Boqing Gong; Junzhou Huang;

End-to-end learning of motion representation for video understanding,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018-6-18 to 2018-6-22. (Spotlight)


Xuguang Duan; Wenbing Huang*; Chuang Gan; Jingdong Wang; Wenwu Zhu; Junzhou Huang;

Weakly supervised dense event captioning in videos,

Annual Conference on Neural Information Processing Systems (NeurIPS), Montreal, Cananda, 2018-12-3 to 2018-12-8.


Wenbing Huang; Mehrtash Harandi; Tong Zhang; Lijie Fan; Fuchun Sun*; Junzhou Huang;

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Dictionary Learning,

Annual Conference on Neural Information Processing Systems (NeurIPS), Long Beach, California, USA, 2017-12-4 to 2017-12-9.


Wenbing Huang; Fuchun Sun*; Lele Cao; Deli zhao; Huaping Liu; Mehrtash Harandi;

Sparse Coding and Dictionary Learning with Linear Dynamical Systems,

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, 2016-6-26 to 2016-7-1. (Oral)


Wenbing Huang; Lele Cao; Fuchun Sun*; Deli zhao; Huaping Liu; Shanshan Yu;

Learning Stable Linear Dynamical Systems using the Weighted Least Square Method,

International Joint Conference on Arti cial Intelligence (IJCAI), New York, USA, 2016-7-9 to 2016-7-16.


Other Topics on Imitation Learning, Gaussian Process, etc.

Mingxuan Jing; Xiaojian Ma; Wenbing Huang*; Fuchun Sun; Chao Yang; Bin Fang; Huaping Liu;

Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance,

AAAI Conference on Arti cial Intelligence (AAAI), New York, USA, 2020-2-7 to 2020-2-12. (Spotlight)


Chao Yang; Xiaojian Ma; Wenbing Huang*; Fuchun Sun*; Huaping Liu; Junzhou Huang; Chuang Gan.

Imitation learning from observations by minimizing inverse dynamics disagreement,

Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019-12-10 to 2019-12-14. (Spotlight)


Wenbing Huang; Deli Zhao; Fuchun Sun*; Huaping Liu; Edward Chang;

Scalable Gaussian Process Regression using Deep Neural Networks,

International Joint Conference on Arti cial Intelligence (IJCAI), Buenos Aires, Argentina, 2015-7-25 to 2015-7-31.


Codes and Tools

CEN: Are you tied of aggregation/allignment for fusion? Try CEN please.

DropEdge: To make your model deeper? Link to code .

GMI: How to perform self-supervised learning on graphs? see here.

PGCN: The source code for structured action dection from videos. Link to code.

AS-GCN: A package for fast graph representation learning. The distributed version will come soon. Link to code .

TVNet: A package for end-to-end optical flow estimation. Link to code.

WSDEC: The code for Weakly Supervised Dense Event Captioning in Videos. Link to code.

LDS: A tool box for linear dynamical systems modeling. Link to code.


Academic Services (since 2019)

Senior PC Member: AAAI-2021, IJCAI-2021

Tutor: KDD 2020 tutorial "Advanced Deep Graph Learning: Deeper, Faster, Robuster, and Unsupervised"

Program Chair: ACMMM 2020 workshop "Human-centric multimedia analysis"

Session Chair: IJCAI 2019 session track “Video: Events, Activities and Surveillance

PC Member: NeurIPS 2019-2020, ICML 2019-2020, ICLR 2021, CVPR 2019-2021, ICCV 2019, ECCV 2020, AISTATS 2019-2021, IJCAI 2019-2020, AAAI 2019-2020

Reviewer of Journals: TPAMI, IJCV, TIP, TNNLS, TKDE, Neurocomputing