Haochen Zhang

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Hi! I’m Haochen and I’m a second year Master’s of Science in Robotics student at Carnegie Mellon University’s Robotics Institute. I conduct research as part of the Field Robotics Center under the supervision of Dr. Ji Zhang and Dr. Wenshan Wang. My main research interests are in 3D semantic scene understanding, vision-language navigation, and interactive navigation agents.

Previously, I obtained my BASc in Engineering Science, Electrical and Computer Engineering at the University of Toronto. I completed my undergrad thesis under Dr. Scott Sanner in natural language preference retrieval at the Data-Driven Decision Making (D3M) Lab. I also obtained a Minor in Artificial Intelligence and Certificate in Engineering Leadership, graduating with high distinction.

news

Oct 19, 2024 I organized and hosted our workshop, AI Meets Autonomy: Vision, Language, and Autonomous Systems at the IROS 2024 conference in Abu Dhabi! Read my recap about the workshop here!
Oct 09, 2024 Attended the 4th Space Imaging Workshop in Atlanta, Georgia where our extended abstract “Using Simulated Lunar Imagery to Train Real Networks” was presented. Read about it here. :new_moon:
Jun 25, 2024 Workshop paper accepted for presentation at the RSS SemRob 2024 Workshop! Read about our new dataset, VLA-3D here.
Jun 22, 2024 Extended abstract accepted for presentation at the 4th Space Imaging Workshop! :rocket:
Jun 18, 2024 Our workshop, AI Meets Autonomy: Vision, Language, and Autonomous Systems was accepted to IROS 2024!

selected publications

  1. vla-3d_sample.png
    VLA-3D: A Dataset for 3D Semantic Scene Understanding and Navigation
    Haochen Zhang, Nader Zantout, Pujith Kachana , and 3 more authors
    2024
  2. recipempr_table.png
    Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval
    Haochen Zhang*, Anton Korikov*, Parsa Farinneya , and 8 more authors
    In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , 2023
  3. copath_workflow.png
    Computational Pathology: A Survey Review and The Way Forward
    Mahdi S Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh , and 8 more authors
    Journal of Pathology Informatics, 2024