- November 2023: I’ll be attending the ACM SIGSPATIAL 2023 conference in Hamburg, Germany, having been honored with travel grants from NSF and Northeastern University PhD Network. My deepest thanks to them for this opportunity!
- May 2023: 🎉🎉 I’m accepted by Northeastern University!
Hi! I’m currently a third year PhD candidate in Civil and Environmental Engineering at Northeastern University. I am fortunate to be advised by Prof. Qi Ryan Wang. Previously, I completed my undergrad in Computer Science and Mathematics at Rensselaer Polytechnic Institute and worked with Prof. Jianxi Gao.
My research focuses on multimodal machine learning and large-scale spatiotemporal data modeling. I study representation learning methods that enable machine learning systems to understand complex data from multiple modalities and dynamic real-world systems. If you have any questions or interested in my work, feel free to reach out to me at he.haoyu1@northeastern.edu.
🔥 News
- February 2026: I will be joining LinkedIn as an AI/ML Intern in Summer 2026 — feel free to reach out if you’d like to chat or grab coffee!
- February 2026: One paper accepted by CVPR! See you in Denver!
- December 2025: I’ll be at NeurIPS in San Diego.
- September 2025: Our paper RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility has been accepted by NeurIPS 2025🎉
- April 2025: I’m honored to receive the PhD Outstanding Research Award 🏆 from College of Engineering.
- February 2025: I passed my qualifying exam! Many thanks to my committee members, Professors Ryan Wang, Brennan Klein, and Haris Koutsopoulos, for their valuable and constructive feedback.
- October 2024: We achieve first place in Dynamic Time Wrapping (DTW) metric out of 100+ teams at Human Mobility Prediction Challenge 2024. Check out our paper here!
- October 2024: I’ll be attending the ACM SIGSPATIAL 2024 conference in Atlanta, Georgia.
Click to expand previous news
📝 Publications
2026
- Structural Graph Probing of Vision–Language Models
Haoyu He*, Yue Zhuo*, Yu Zheng, and Qi R. Wang
CVPR
2025
- RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
Haoyu He*, Haozheng Luo*, Yan Chen, and Qi R. Wang
NeurIPS
code | poster | news
2024
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ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction
Haoyu He, Haozheng Luo, and Qi R. Wang
2nd Human Mobility Prediction Challenge @ ACM SIGSPATIAL
code | slides -
Pretrained Mobility Transformer: A Foundation Model for Human Mobility
Xinhua Wu, Haoyu He, Yanchao Wang, and Qi R. Wang
preprint
2023
- Forecasting Urban Mobility using Sparse Data: A Gradient Boosted Fusion Tree Approach
Haoyu He, Xinhua Wu, and Qi R. Wang
1st Human Mobility Prediction Challenge @ ACM SIGSPATIAL
2022
- Percolation of Temporal Hierarchical Mobility Networks during COVID-19
Haoyu He, Hengfang Deng, Qi R. Wang, and Jianxi Gao
Philosophical Transactions of the Royal Society A
code
* indicates co-first authorship
📖 Educations
- May 2023 - present: Ph.D. in Civil and Environmental Engineering, Northeastern University
- August 2018 - December 2021: B.S. in Computer Science and Mathematics, Rensselaer Polytechnic Institute
🏅 Awards
- PhD Outstanding Research Award, College of Engineering, Northeastern University, March 2025
- 1st Place in the Human Mobility Prediction Challenge 2024, October 2024
- National Science Foundation (NSF) Travel Grant Recipient for ACM SIGSPATIAL 2023, November 2023
- Magna Cum Laude, Rensselaer Polytechnic Institute, May 2022
💬 Invited Talks
- December 2025: Invited speaker at the BuildNext Global Seminar hosted by Syracuse University’s Center of Excellence in Environmental & Energy Systems. poster
📚 Teaching
- Machine Learning and Data Mining I (DS 4400) Teaching Assistant, Northeastern University, Spring 2023
- Foundations of Computer Science (CSCI 2200) Mentor, Rensselaer Polytechnic Institute, Spring 2020 Fall 2020 Spring 2021
- Computer Science I (CSCI 1100) Mentor, Rensselaer Polytechnic Institute, Fall 2019