Short Bio

Dongyu Liu is currently a PhD candidate under the supervision of Prof. Huamin Qu, in the Department of Computer Science and Engineering at Hong Kong University of Science and Technology (HKUST). He was awarded the Hong Kong PhD Fellowship Scheme, which is only provided for the students with outstanding qualities of academic performance, research potential, and leadership abilities. He obtained his B.Eng. degree in Computer Science and Technology from Zhejiang University. During his undergraduate studies, he was selected to the Chu Kochen Honors Program, in which only 400 (out of ~6000 freshmen) top students are thoughtfully selected from excellent senior high graduates. He has worked as an intern in Bosch Research USA from September 2017 to April 2018, Microsoft Research Asia from July 2016 to April 2017, and Wechat Research Group from April 2016 to June 2016. He has won the Microsoft Research Stars of Tomorrow, an award only provided for excellent interns. Up to now, he has published four first-author papers in top journals such as the IEEE Transactions on Visualization and Computer Graphics (TVCG) and ACM Transactions on Intelligent Systems and Technology (TIST). His research/work has been recognized by many awards including the Best Paper Award in IEEE VIS 2018, the Honorable Mention Award for IEEE VAST Grand Challenge 2015, and the APICTA Merit Award in E-Learning from the Asia Pacific ICT Alliance 2015.

Publications

Journal Articles (5)

TPFlow: Progressive Partition and Multidimensional
Pattern Extraction for Large-Scale Spatio-Temporal Data Analysis
Dongyu Liu, Panpan Xu, Liu Ren
TVCG IEEE Transactions on Visualization and Computer Graphics, 2018.
Download: [pdf] [video] [preview] | Best Paper

 

DeepTracker: Visualizing the Training Process of
Convolutional Neural Networks
Dongyu Liu, Weiwei Cui, Kai Jin, Yuxiao Guo, Huamin Qu
TIST ACM Transactions on Intelligent Systems and Technology, 2018.
Download: [pdf] [video] [bib]

 

SmartAdP: Visual Analytics of Large-scale
Taxi Trajectories for Selecting Billboard Locations
Dongyu Liu, Di Weng, Yuhong Li, Jie Bao, Yu Zheng, Huamin Qu, Yingcai Wu
TVCG IEEE Transactions on Visualization and Computer Graphics, 2016.
Download: [pdf] [video] [demo] [slides] [news] [bib]

 

egoComp: A Node-link Based Technique for Visual Comparison of Ego-network
Dongyu Liu, Fangzhou Guo, Bowen Deng, Huamin Qu, Yingcai Wu
IV Information Visualization. SAGE, 2016.
Download: [pdf] [bib]

 

PeakVizor: Visual Analytics of Peaks
in Video Clickstreams from Massive Open Online Courses
Qing Chen, Yuanzhe Chen, Dongyu Liu, Huamin Qu, Conglei Shi, Yingcai Wu
TVCG IEEE Transactions on Visualization and Computer Graphics, 2015.
Download: [pdf] [video] [demo] [bib]

 

Conference Full Papers (1)

ATMSeer: Increasing Transparency and Controllability
in Automated Machine Learning
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu,
Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu
CHI Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2018.
Download: [pdf]

A Guided Tour of Literature Review:
Facilitating Academic Paper Reading with Narrative Visualization
Yun Wang, Dongyu Liu, Huamin Qu, Qiong Luo, Xiaojuan Ma
VINCI Proceedings of the ACM Symposium on Visual Information Communication and Interaction, 2016.
Download: [pdf] [video] [demo] [bib]

 

Conference/Workshop Short Papers (2)

ParkVis: A Visual Analytic System for Anomaly Detection in DinoWorld
Abishek Puri, Dongyu Liu, Siwei Fu, Shaoyu Chen, Tianyu Wang, Yeuk-Yin Chan, Huamin Qu
VAST Proceedings of IEEE Conference on Visual Analytics Science and Technology, 2015.
Download: [pdf]

 

InSide: Interactive Sketching for Image Database Exploration
Hongxin Zhang, Dongyu Liu, Changhan Wang
CAD/Graphics Proceedings of IEEE International Conference on Computer-Aided Design and Computer Graphics, 2013.
Download: [pdf] [bib]

 

Work Experience

Sep 2018 - May 2019	Laboratory for Information and Decision Systems (LIDS), MIT, Boston
	Research Intern (with Dr. Kalyan Veeramachaneni)
Jun 2016 - Now	HKUST-WeChat Joint Lab on AI Technology, Hong Kong
	Lab Member
Sep 2017 - Apr 2018	Bosch Research, Sunnyvale, CA, USA
	Research Intern (with Dr. PanPan Xu and Dr. Liu Ren)
Jul 2016 - Apr 2017	Microsoft Research, Beijing, China
	Research Intern (with Dr. Weiwei Cui)
Apr 2016 - Jun 2016	Tencent, Shenzhen, China
	Software Engineer Intern, Wechat Research Group
Dec 2015 - Mar 2016	Zhejiang University, Hangzhou, China
	Research Intern (with Prof. Yingcai Wu), State Key Laboratory of CAD&CG
May 2012 - Jun 2014	Zhejiang University, Hangzhou, China
	Research Intern (with Prof. Jiajun Bu), Eagle Lab
Jun 2012 - Nov 2013	Zhejiang University, Hangzhou, China
	Research Intern (with Prof. Hongxin Zhang), State Key Laboratory of CAD&CG
Aug 2013 – Oct 2013	Taotaosou, Hangzhou, China
	Software Engineer Intern, Graphic Algorithm Research Group

Awards and Honors

▪	HKUST Overseas Research Award to visit MIT for 6 months
▪	Best Paper Award for IEEE VAST 2018
▪	Hong Kong PhD Fellowship Scheme (HKPFS)
▪	Microsoft Research Asia Stars of Tomorrow ( Award of Excellence)
▪	Excellent Oral Presentation Award in International Doctoral Students Conference for the ZJU 120 Anniversary
▪	Honorable Mention Award for IEEE VAST Grand Challenge 2015
▪	Merit Award in E-Learning at The Asia Pacific ICT Alliance 2015 with VisMOOC team
▪	Outstanding Student Award, Chu Kochen Honors College, Zhejiang University
▪	Honorable Mention Award for COMAP's International Mathematical Contest in Modeling
▪	Honorable Mention Award for CSIAM's China Undergraduate Mathematical Contest in Modeling
▪	First Prize (Rank No. 1) in National Olympiad in Informatics in Provinces

Selected Talks

Jun 2018	Visual Analytics for Multidimensional Large-Scale Spatio-Temporal Data
	PG Student Research Forum held by the CSE Department of HKUST, Hong Kong
Nov 2017	What Visualization Can Do for Explainable AI
	Bosch Research's Internal Workshop on AI, Palo Alto, CA, USA
May 2017	Things You Need to Know About Doctoral Study
	Zhejiang University 120th Anniversary, Hangzhou, China
Apr 2016	Finding Optimal Billboard Locations from Large-Scale Taxi Trajectories
	IEEE VIS Conference, Baltimore, MD, USA
Apr 2016	Finding Optimal Billboard Locations from Large-Scale Taxi Trajectories
	Workshop on Visual Analytics of Urban Data, Zhejiang University, Hangzhou, China
Jan 2016	How to be a Excellent Full Stack Web Developer
	State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China
Nov 2015	Visual Analytics of Massive Open Online Courses
	Microsoft Research Asia Symposium on Collaborative Research, Beijing, China
Oct 2015	A Node-link Based Technique for Visual Comparison of Ego-network
	Workshop on Exploring Graphs At Scale, IEEE VIS 2015, Chicago, USA
Oct 2015	A Visual Analytic System for Anomaly Detection in DinoFun World
	VAST Challenge, IEEE VIS 2015, Chicago, USA

Services

Journal Reviewer	IEEE Transactions on Visualization and Computer Graphics, 2016-2018
	Journal of Visual Languages and Computing, 2018
	Journal of Software, 2015
Conference Reviewer	IEEE Conference on Visual Analytics Science and Technology (VAST), 2015 - 2018
	IEEE Information Visualization Conference (InfoVis), 2015 - 2018
	Eurographics/IEEE Conference on Visualization (EuroVis), 2015 - 2018
	IEEE Pacific Visualization Symposium (PacificVis), 2015 - 2018
	International Symposium on Visual Computing (ISVC), 2018
	International Conference on Parallel and Distributed Systems (ICPADS), 2018
	International Symposium on Graph Drawing and Network Visualization (GD), 2016
Coordinator	VisLab Group Seminar (~40 people), 2018