Huazhe(Harry) Xu

About Me

I am a third year Ph.D student in BAIR (Berkeley AI Research) advised by Prof. Trevor Darrell. I am also working as an intern researcher in Facebook AI Research with Prof. Tengyu Ma and Yuandong Tian. I used to be an undergraduate student in Department of Electronic Engineering, School of Information Science and Technology, Tsinghua University. I studied as an exchange student in Electrical and Computer Engineering Department, University of Toronto in Fall 2014.

I worked in Center for Intelligent Image and Document Information Processing, advised by Prof. Qi Tian(UTSA) and Prof. Liangrui Peng since 2014. In Fall 2014, I spent 3 months wonderful time in Machine Learning Group in University of Toronto co-advised by Prof. Sanja Fidler and Prof. Raquel Urtasun. In Summer 2015, I worked at Berkeley Vision and Learning Center(BVLC) and International Computer Science Institute(ICSI) as a research assistant, advised by Prof. Trevor Darrell and Prof. Jiashi Feng.

My research interests lie in computer vision, deep learning, reinforcement learning and their applications.

Education

Aug. 2012 - Jul. 2016 (Expected), Department of Electronic Engineering, Tsinghua University,

Balchlor of Engineering, GPA: 93/100, ranking: 5/238. Average of Math and Math-Related Courses: 95.4/100.

Aug. 2014 - Dec. 2014, School of Electrical and Computer Engineering, University of Toronto,

Exchange Student, GPA: 4.0/4.0.

July. 2015 - Sept. 2015, Department of Electrical and Computer Engineering, University of California, Berkeley,

Visiting Researcher.

Selected Research Projects

Weakly Supervised Deep Scene Parsing with Attributes,

Huazhe Xu, Jiashi Feng, Trevor Darrell,

Jul 2015 - Nov 2015, UC Berkeley,

Natural Language Object Retrieval with RNN,

Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko and Trevor Darrell,

Jul 2015 - Nov 2015, UC Berkeley,

Automobile Visual Taste Ranking,

Huazhe Xu, Sanja Fidler, Raquel Urtasun,

2015 Fall , University of Toronto,

Publications and Manuscripts

• H. Gao^*, H. Xu^*, Q. Cai, R. Wang, F. Yu, T. Darrell, Disentangling Propagation and Generation for Video Prediction, arXiv preprint. [pdf]

• H. Tang^*, D. Lee^*, J. Zhang, H. Xu, T. Darrell, P. Abbeel, Modular Architecture for StarCraft II with Deep Reinforcement Learning. The 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE'18). [pdf]

• Y. Luo^*, H. Xu^*, Y. Li, Y. Tian, T. Darrell, T. Ma, Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees . To appear at ICLR'19 (also appeared as ICMLW'18, NeurIPSW'18). [pdf]

• Y. Gao^*, H. Xu^*, F. Yu, S. Levine, T. Darrell, Reinforcement Learning from Imperfect Demonstrations. in NIPS Deep RL Syposium. [pdf]

• H. Xu^*, Y. Gao^*, F. Yu, T. Darrell, End-to-end Learning of Driving Models from Large-scale Video Datasets. in CVPR 2017 (oral). [pdf]

• R. Hu, H. Xu, M. Rohrbach, J. Feng, K. Saenko, T. Darrell, Natural Language Object Retrieval. in CVPR 2016 (oral). [pdf]

• Tian Xie, Qian Han, Huazhe Xu, Zihao Qi, Wenqian Shen. A Low-Complexity Linear Precoding Scheme Based on SOR Method for Massive MIMO Systems. Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st , vol., no., pp.1-5, 11-14 May 2015. [pdf]

Honors and Awards

• EECS Excellence Award, UC Berkeley, 2016

• Comprehensive Excellent Scholarship, Tsinghua Univ, 2013

• Academic Excellent Scholarship, Tsinghua, Univ, 2014

• Academic Excellent Scholarship, Tsinghua, Univ, 2015

News!

• Nov 19, 2018, Our Starcraft 2 Project is covered by Synced (机器之心) and Import AI.

• Dec 18, 2017: Giving a talk at Berkeley DeepDrive Workshop.

• Oct 31, 2017: Giving a talk at MIT vision seminar in Boston.

• June 1, 2017: Giving a talk in at Tsinghua University in Beijing.

• Our paper 'End-to-end Learning of Driving Model from Largescale Dataset' appeared at 'New_era' Wechat Media.

• Interviewed by a 'Leiphone' reporter about BAIR Blog.

Service

• Reviewer of ICLR’19

• Reviewer of ACCV’18

• Reviewer of NeurIPS’18

• Reviewer of ICML’18 ’19

• Reviewer of CVPR’18 ’19

• Reviewer of NIPS'17 Intelligent Transportation Workshop

• Reviewer of IEEE Transactions on Multimedia’ 16, 17

• Editor in BAIR Blog Editorial Board, manager of BAIR facebook handle.

Miscellaneous

• Alain De Botton: The Art of Travel (I traveled less often after reading this :p)

• Introduction to Image Understanding (A lovely Course from Prof. Sanja Fidler)

• Scriabin Etude op. 2 No. 1 in C sharp minor played by Horowitz (The piece of music I listened most often.)

• Franz Schubert Sonata D960(Kafka on The Shore novel by Murakami brought Schubert to me when I was 16. )

Attempts

Piano Project

I am now learning to play the piano(again!) with pianist Anne Rainwater. Here are some pieces I enjoy playing recently:

Piano Sonata No. 3 in C major, Op. 2, No. 3, Ludwig van Beethoven

Impromptu in B-flat Major D. 935, No. 3 (Op. 142), Franz Schubert

French Suites, BWV 817, Johann Sebastian Bach

Prelude and Fugue No.2, Johann Sebastian Bach

4 Improptus, D899, Franz Schubert

kinderszenen op. 15, Robert Schumann

Waltz in D-flat major, Op. 64, No. 1, Valse du petit chien, Frédéric Chopin

Grande valse brillante in E-flat major, Op. 18, Frédéric Chopin

Tempest Sonata, Ludwig van Beethoven

Photography Project

I will start my personal album soon to present some of my photography work.

Reading Project

I regularly read novels and books unrelated to Computer Science. I hope I can write some informal book review for the ones I read. The most current one is 'The Letters of Virginia Woolf'.

Tennis

I regularly play tennis every week. If you are visiting Berkeley and want to play, ping me on email.

Who searched for me!