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Guangyuan Weng
翁光源
gweng.aca AT gmail.com
🔎 I am on the 2026-2027 job market, seeking Research Scientist / Applied Scientist positions. Feel free to reach out!

I’m a Ph.D. candidate in Computer Science at Northeastern University, advised by Prof. Esteban Moro. I build and audit the deep learning and generative models that increasingly shape how people see and move through cities, with work across representation learning, large language models, recommender systems, spatiotemporal data mining, and responsible AI. Most recently I was a Research Scientist II Intern at Chewy, and previously at Wormpex AI Research.

Earlier, I worked on action recognition and visual representation learning at the IU Computer Vision Lab with Prof. David J. Crandall, and on robotics and SLAM with Prof. Sören Schwertfeger at the Mobile Autonomous Robotic Systems Lab.

Interests

  • Generative AI & LLMs
  • Recommender Systems
  • Representation Learning
  • Responsible AI
  • Computational Social Science

Academia

Northeastern University
Sept. 2021 - Present
Ph.D. Computer Science
ShanghaiTech University
Sept. 2017 - July 2021
B.E. Computer Science

Experience

News

Publications

Large language models create an uneven informational layer over cities, 2026, (Under Review)
Audited three LLM families over 304 neighborhoods in five cities: 36.8% of recommended venues are fabricated, and 47.5% of real venues are never surfaced.
Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space, 2025, (Under Review)
Learned mobility embeddings from 25.4M trajectories across 11 US metros; embedding distance predicts flows far better than physical distance (R2 0.61 vs. 0.33).
Action Recognition based on Cross-Situational Action-object Statistics, 2022, The 12th IEEE International Conference on Development and Learning (ICDL 2022)
Advanced mapping robot and high-resolution dataset, 2020, Journal of Robotics and Autonomous Systems
Hongyu Chen , Zhijie Yang , Xiting Zhao , Guangyuan Weng , Haochuan Wan , Jianwen Luo , Xiaoya Ye , Zehao Zhao , Zhenpeng He , Yongxia Shen , Sören Schwertfeger
Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets, 2019, IEEE Conference on Robotics and Automation (ICRA) 2019 workshop
Hongyu Chen , Xiting Zhao , Jianwen Luo , Zhijie Yang , Zehao Zhao , Haochuan Wan , Xiaoya Ye , Guangyuan Weng , Zhenpeng He , Tian Dong , Sören Schwertfeger

Teaching

  • CS 5100 Foundations of Artificial Intelligence (TA) , Fall 2025
  • CS 5520 Mobile Application Development (Head TA) , Spring 2024, Fall 2024, Spring 2025, Summer 2025
  • CS 4520 Mobile Application Development (TA) , Summer 1 2024
  • CS 5330 Pattern Recognition and Computer Vision (TA) , Fall 2021, Fall 2022
  • Penn AI Robotics Summer Camp (TA) , GRASP Lab, Summer 2019

Honors

  • Outstanding PhD Student Award for Teaching , Northeastern University, 2026
  • Scholarship for Outstanding Undergraduates (RMB 30,000) , ShanghaiTech University, 2020
  • Merit Students (Top 5%) , ShanghaiTech University, 2020
  • Global Talent Attraction Program, International Summer Research Fellowship ($ 4,000) , Indiana University Bloomington, 2020

Academic Service

  • Reviewer: IC2S2 (2024, 2025, 2026), NetSci (2025, 2026), NeurIPS (2026)

Contact

Miscellaneous

  • Our days may come to seventy years, or eighty, if our strength endures;
  • Yet the best of them are but trouble and sorrow, for they quickly pass, and we fly away.
  • If only we knew the power of your anger!
  • Your wrath is as great as the fear that is your due.
  • Teach us to number our days, that we may gain a heart of wisdom.
  • (Psalm 90:10-12 NIV)