Haomeng ZHANG 张皓萌

I am a second-year Computer Science Ph.D. student at Purdue University, advised by Prof. Raymond A. Yeh.

I hold a Master of Science in Computer Science degree from University of Illinois at Urbana-Champaign, where I worked with Mr. Yunze Man and Prof. Liangyan Gui .

I received my B.S.E. degree in Data Science at University of Michigan with a minor in Mathematics. I was fortunate to work with Dr. Junming Zhang and Prof. Matthew Johnson-Roberson at the UM Ford Center for Autonomous Vehicles (FCAV).

I also hold a B.E. degree in Electrical and Computer Engineering at Shanghai Jiao Tong University (SJTU) (Dual Degree Program).

Email  /  CV  /  Google Scholar  /  Github  /  Twitter

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News
Mar, 2025 I will join Mitsubishi Electric Research Laboratories as a research intern in Summer 2025.
Nov, 2024 I am selected as one of the Top Reviewers of NeurIPS 2024.
Sep, 2024 Our paper D-LISA is accepted to NeurIPS 2024.
Aug, 2023 I start as a Computer Science Ph.D. student at Purdue University.
Feb, 2023 Our paper HyperPC is accepted to CVPR 2023.
Research

I am broadly interested in Computer Vision, Machine Learning and Robotics, with a focus on 3D vision and multi-modal learning. I currently work on problems related to affordance. Previously, I have also worked on the following fields: (i) 3D visual grounding, (ii) 3D visual question answering, (iii) point cloud completion, (iv) trajectory prediction.

My research goal is to develop computer vision techniques for real-world embodied agents and autonomous systems, enhancing their capability to perceive and reason effectively in uncertain environments.

dlisa Multi-Object 3D Grounding with Dynamic Modules and Language Informed Spatial Attention
Haomeng Zhang, Chiao-An Yang, Raymond A. Yeh
NeurIPS 2024
arXiv / Project Page / Code

Our proposed model D-LISA has a novel vision module that allows for a dynamic number of proposal boxes and extracts features from dynamic viewpoints per scene. Furthermore, we propose a fusion module that is spatially aware with explicit language conditioning.


hyperpc Hyperspherical Embedding for Point Cloud Completion
Junming Zhang, Haomeng Zhang, Ram Vasudevan, Matthew Johnson-Roberson
CVPR 2023
arXiv / Project Page / Code

We propose a hyperspherical module which could be inserted into any existing Encoder-Decoder structure and consistently improve the point cloud completion result in both single-task and multi-task learning.

Teaching

Purdue University

University of Illinois at Urbana-Champaign Shanghai Jiao Tong University
  • VP 140 Physics I, SU 2019

Service

Conference Reviewer: CVPR, ICCV, NeurIPS, ICLR, ICML.
Journal Reviewer: TMLR.

Awards & Honors

Top Reviewers, NeurIPS, 2024.
Outstanding Graduate, Shanghai Municipal Education Commission, 2021.
James B. Angell Scholar, University of Michigan, 2021.
National Scholarship (Top 1%), Ministry of Education of China, 2019.
Undergraduate Excellent Scholarship (Top 10%), Shanghai Jiao Tong University, 2018, 2019.

Updated at Apr. 2025. Thanks Jon Barron for this amazing template.