Haipeng Zeng (曾海鹏)

I am currently an associate professor at the School of Intelligent Systems Engineering, Sun Yat-sen University (SYSU). I received my Ph.D. at the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST), where my supervisors are Prof. Huamin Qu and Prof. Ting-Chuen PONG. Prior to HKUST, I received my B.S. degree in Mathematics from Sun Yat-sen University (SYSU), China.

Research Interests:

  • Data Visualization & Visual Analytics
  • Machine Learning & Deep Learning
  • Intelligent Transportation

Publications

CSLens: Towards Better Deploying Charging Stations via Visual Analytics -- A Coupled Networks Perspective
Yutian Zhang, Liwen Xu, Shaocong Tao, Quanxue Guan, Quan Li, and Haipeng Zeng.
TVCGIEEE Transactions on Visualization and Computer Graphics, 2024.
EVCSeer: An Exploratory Study on Electric Vehicle Charging Stations Utilization via Visual Analytics
Yutian Zhang, Shuxian Gu, Quan Li, and Haipeng Zeng.
CG&AIEEE Computer Graphics and Applications, 2024.
MARLens: Understanding Multi-agent Reinforcement Learning for Traffic Signal Control via Visual Analytics
Yutian Zhang, Guohong Zheng, Zhiyuan Liu, Quan Li, and Haipeng Zeng.
TVCGIEEE Transactions on Visualization and Computer Graphics, 2024.
T-PickSeer: Visual Analysis of Taxi Pick-up Point Selection Behavior
Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, and Haipeng Zeng.
JOVJournal of Visualization, 2023.
Amplifying the Music Listening Experience through Song Comments on Music Streaming Platforms
Longfei Chen, Qianyu Liu, Chenyang Zhang, Yangkun Huang, Zhenhui Peng , Haipeng Zeng , Zhida Sun , Xiaojuan Ma , and Quan Li.
JOVJournal of Visualization, 2023.
GestureLens: Visual Analysis of Gestures in Presentation Videos
Haipeng Zeng, Xingbo Wang, Yong Wang, Aoyu Wu, Ting-Chuen Pong, and Huamin Qu.
TVCGIEEE Transactions on Visualization and Computer Graphics, 2023.
DeHumor: Visual Analytics for Decomposing Humor
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, and Huamin Qu.
TVCGIEEE Transactions on Visualization and Computer Graphics, 2022.
Understanding Players' Interaction Patterns with Mobile Game App UI via Visualizations
Quan Li, Haipeng Zeng, Zhenhui Peng, and Xiaojuan Ma.
Chinese CHI Proceedings of the Chinese CHI Conference on Human Factors in Computing Systems, 2021. Best Paper
EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos
Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, and Huamin Qu.
TVCGIEEE Transactions on Visualization and Computer Graphics, 2021.
EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos
Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, and Huamin Qu.
TVCGIEEE Transactions on Visualization and Computer Graphics, 2020.
VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking
Xingbo Wang, Haipeng Zeng, Yong Wang, Aoyu Wu, Zhida Sun, Xiaojuan Ma, and Huamin Qu.
CHIProceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2020.
Friend Network as Gatekeeper: A Study of WeChat Users’ Consumption of Friend-Curated Contents
Quan Li, Zhenhui Peng, Haipeng Zeng, Qiaoan Chen, Lingling Yi, Ziming Wu, Xiaojuan Ma, and Tianjian Chen.
Chinese CHIInternational Workshop of Chinese CHI, 2020.
CNNComparator: Comparative Analytics of Convolutional Neural Networks
Haipeng Zeng, Hammad Haleem, Xavier Plantaz, Nan Cao, and Huamin Qu.
VADLWorkshop on Visual Analytics for Deep Learning, 2017.
MobiSeg: Interactive Region Segmentation Using Heterogeneous Mobility Data
Wenchao Wu, Yixian Zheng, Nan Cao, Haipeng Zeng, Bing Ni, Huamin Qu, and Lionel M. Ni.
PacificVisProceedings of IEEE Pacific Visualization Symposium, 2017.
TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data
Wenchao Wu, Jiayi Xu, Haipeng Zeng, Yixian Zheng, Huamin Qu, Bing Ni, Mingxuan Yuan, and Lionel M. Ni.
TVCGIEEE Transactions on Visualization and Computer Graphics, 2016.
TelcoFlow: Visual Exploration of Collective Behaviors Based on Telco Data
Yixian Zheng, Wenchao Wu, Haipeng Zeng, Nan Cao, Huamin Qu, Mingxuan Yuan, Jia Zeng, and Lionel M. Ni.
Big DataProceedings of IEEE International Conference on Big Data, 2016.

Current members

  • Yutian Zhang (Master student, since 2022.9)
  • Yuanzhi Zeng (Master student, since 2022.9)
  • Guohong Zheng (Master student, since 2023.9)
  • Liwen Xu (Master student, since 2023.9)
  • Wei Huang (Master student, since 2024.9)
  • Yifan He (Master student, since 2024.9)

Past members

  • Shuxian Gu (Master student, 2021.9-2024.6)

Courses

  • ISE290 Deep Learning (2022-2, 2023-2)
  • ISE376 Software Engineering (2022-2, 2023-2)
  • ISE289 Visualization and Visual Analysis (2023-2)
  • ISE6221 Big Data Visual Analysis (2021-1, 2022-1, 2023-1)
  • ISE378 Artificial Neural Network (2020-2, 2021-2)
  • ISE125 C Programming Language (2021-1)

Research / Work Experience

April 2024
- Now
Sun Yat-Sen UniversityChina
Associate Professor, School of Intelligent Systems Engineering
Nov 2020 - April 2024
Sun Yat-Sen UniversityChina
Assistant Professor, School of Intelligent Systems Engineering
Aug 2015 - Nov 2020
Hong Kong University of Science and TechnologyHong Kong
PhD Student (advised by Prof. Huamin Qu and Prof. Ting-Chuen PONG)
Aug 2018 - Dec 2018
Georgia TechUSA
Visiting Scholar (hosted by Prof. Alex Endert), School of Interactive Computing
Oct 2014 - Aug 2015
Noah’s Ark LabHong Kong
Research Intern (advised by Prof. Jia Zeng)
Sep 2014 - Aug 2015
VISLab of CSE Department in HKUSTHong Kong
Research Assistant (advised by Prof. Huamin Qu)
Sep 2013 - Aug 2014
Guangdong Province Key Laboratory of Computational ScienceChina
Research Assistant
Sep 2010 - Jul 2014
Sun Yat-Sen UniversityChina
Undergraduate

Honors and Awards

2015 - 2020 PhD Scholarship of HKUST
2018 HKUST Overseas Research Award
2014 Outstanding Graduate of Sun Yat-Sen University
2011, 2012, 2013 National Scholarship
2012 Meritorious Winner in USA Mathematical Contest In Modeling