趙偉崙 Wei-Lun (Harry) Chao's Website
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About Me
I am a tenure-track Assistant Professor in the Department of Electrical & Computer Engineering (ECE) at Boston University (BU). My research interests are in machine learning, computer vision, and their applications in recognition, autonomous driving, Imageomics (biology & ecology), healthcare, etc.
Before joining BU, I spent 6.5 wonderful years at the Ohio State University (OSU), where I was an Associate Professor (with tenure) in the Department of Computer Science and Engineering (CSE). I was also the advisor of the OSU AI Club and the Buckeye AutoDrive Team for the SAE AutoDrive Challenge II.
Before joining OSU, I was a Postdoctoral Associate in Computer Science at Cornell University, working with Kilian Weinberger, Mark Campbell, and Bharath Hariharan.
Before that, I did my Ph.D. in Computer Science at the University of Southern California (USC). My adviser was Fei Sha, and I had a great time working with many excellent people in the TEDS lab. Earlier, I obtained an MS degree in Communication Engineering from National Taiwan University and a BS degree in Communication Engineering from National Chiao Tung University.
For more resources and information, please visit my GitHub and my former homepage.
You can also find my CV here (1/2026).
Contact Information
Email: chao209@bu.edu
Office: PHO 437 (Photonics Building, Office #437, 8 St Mary's St, Boston, MA 02215)
What's New?
01/2026 - Received BU Peter J. Levine Career Development Professorship (https://www.bu.edu/provost/awards-publications/award-opportunities/career-development-professorships/, https://www.bu.edu/articles/2025/bu-junior-faculty-career-development-professors/)
01/2026 - Joining Boston University as an Assistant Professor in ECE
09/2025 - 3 NeurIPS 2025 papers are accepted
06/2025 - 2 ICCV 2025 papers are accepted
05/2025 - Promoted to Associate Professor with tenure at OSU
03/2025 - Received 2025 OSU Early Career Distinguished Scholar Award (https://erik.osu.edu/story/chao-2024-ecdsa), which is among the highest annual honors awarded at Ohio State.
03/2025 - Received 2025 OSU COE Lumley Interdisciplinary Research Award. Congratulations to the Imageomics team (https://imageomics.osu.edu/)!
03/2025 - Join us for the two AAAI 2025 workshops - W23: Imageomics: Discovering Biological Knowledge from Images Using AI and W40: Workshop and Challenge on Anomaly Detection in Scientific Domains
02/2025 - 5 CVPR papers are accepted
01/2025 - 4 ICLR papers are accepted
11/2024 - Tai-Yu (Daniel) Pan (https://tydpan.github.io/) successfully defended his Ph.D. dissertation and graduated! Congratulations! Our fourth OSU-MLB alumnus!
09/2024 - 5 NeurIPS papers (including dataset & benchmark tracks) are accepted
07/2024 - Jihyung Kil (https://heendung.github.io/) successfully defended his Ph.D. dissertation and graduated! Congratulations! Our third OSU-MLB alumnus!
07/2024 - 1 ECCV paper is accepted
06/2024 - BioCLIP (https://imageomics.github.io/bioclip/) won the best student paper award at CVPR 2024 (https://cvpr.thecvf.com/Conferences/2024/News/Awards)!
04/2024 - received OSU CSE 2024 Faculty Teaching Award.
02/2024 - 2 CVPR papers are accepted
01/2024 - 1 ICRA paper is accepted
01/2024 - 2 ICLR papers are accepted
11/2023 - Hong-You Chen (https://sites.google.com/view/hongyouc/about-me) successfully defended his Ph.D. dissertation and graduated! Congratulations! Our second OSU-MLB alumnus!
11/2023 - 2 papers are accepted to the NeurIPS workshop
09/2023 - 1 NeurIPS paper is accepted
08/2023 - Received OSU COE Distinguished Professorship: Distinguished Assistant Professor of Engineering Inclusive Excellence
08/2023 - our ONR STTR grant (Phase-2) is funded! Thank you, ONR!
07/2023 - 3 ICCV papers are accepted
04/2023 - our NIH R01 grant (led by Dr. Somashekar Krishna) is funded! Thank you, NIH and OSUMC!
03/2023 - Receive the OSU COE Lumley Research Award
02/2023 - 3 CVPR papers are accepted
01/2023 - 1 ICLR paper is accepted
01/2023 - 2 ICRA papers are accepted
12/2022 - 2 arXiv pre-prints are accessible: Visual query tuning and Pre-training for scene-text understanding
11/2022 - 1 paper accepted to AAAI 2023 (my first AAAI paper!)
10/2022 - Check out the linear algebra slides for computer science: link
10/2022 - Check out the OSU CSE foundation AI seminar for excellent talks: https://sites.google.com/view/osu-cse-ai-seminar/home
09/2022 - 1 paper accepted to NeurIPS 2022
08/2022 - Cheng Zhang (https://czhang0528.github.io/) successfully defended his Ph.D. dissertation and graduated! Congratulations! Our first OSU-MLB alumnus!
07/2022 - 1 paper accepted to ECCV 2022
06/2022 - our ONR STTR grant is funded! Thank you, ONR!
04/2022 - we receive research funding from Cisco (sole-PI)! Thank you, Cisco!
03/2022 - 1 paper accepted by TPAMI
03/2022 - 3 papers accepted to CVPR 2022
01/2022 - 2 papers accepted to ICRA 2022
01/2022 - 3 papers accepted to ICLR 2022
09/2021 - excited to be part of two NSF-funded institutes: Imageomics and ICICLE
09/2021 - 2 papers accepted to NeurIPS 2021
08/2021 - 1 paper accepted to EMNLP 2021
07/2021 - our NSF CISE core program proposal is funded (site-PI)! Thank you, NSF!
07/2021 - 3 papers accepted to ICCV 2021
03/2021 - 1 paper accepted to NAACL 2021
01/2021 - 1 paper accepted to ICLR 2021
09/2020 - 1 paper accepted to NeurIPS 2020
08/2020 - Organize ECCV Workshop on Perception for Autonomous Driving [Link]
07/2020 - Organize ICML Workshop on AI for Autonomous Driving [Link]
03/2020 - 2 papers accepted to CVPR 2020
02/2020 - 1 arXiv paper on meta-learning
02/2020 - 1 DDW abstract accepted for lecture presentation
01/2020 - 1 paper, "Interactive Natural Language-based Person Search, " accepted by IEEE RAL and ICRA, 2020
01/2020 - 1 arXiv paper on imbalanced deep learning
12/2019 - 1 paper, "Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving," accepted by ICLR 2020
12/2019 - I was selected as an outstanding reviewer in NeurIPS 2019 and I attended the conference for a poster presentation.
12/2019 - 1 paper, "Visual Question Answering on 360 Images," accepted by WACV 2020
09/2019 - 1 paper, "A New Defense Against Adversarial Images: Turning a Weakness into a Strength," accepted by NeurIPS 2019
08/2019 - Joining the Ohio State University as an Assistant Professor
07/2019 - 1 paper accepted by IJCV and 1 paper accepted by BMVC
06/2019 - Attending CVPR for a poster presentation [Link]
06/2019 - Organizing ICML Workshop on AI for Autonomous Driving [Link]
06/2019 - 1 paper accepted by IROS & IEEE RA-L
04/2019 - Media coverage of our paper "Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving" by Cornell Chronicle and NSF
03/2019 - 1 paper accepted by CVPR
12/2018 - 2 arXiv preprint papers, one on autonomous driving and the other on unified zero-shot learning
10/2018 - A new GitHub repository of our zero-shot learning algorithms (including SynC, EXEM, and the AUSUC metric) is released. [Link]
08/2018 - Start my postdoc at Cornell University
07/2018 - Invited talk at USC ISI on "Visual Question Answering--the Good, the Bad, and the Ugly" [Slides]
06/2018 - Successfully defended my thesis on "Transfer Learning for Intelligent Systems in the Wild" [Slides]
06/2018 - Attending CVPR for two poster presentations and the doctoral consortium
02-04/2018 - Invited talks at NVIDIA, ASU, OSU, Cornell, TTIC, U of Arizona, and Facebook AI on "Transfer Learning towards Intelligent Systems in the Wild" [Slides]
03/2018 - Invited talk at Google on "Zero-shot Learning for Visual Recognition in the Wild" [Slides]
02/2018 - 2 papers accepted by CVPR 2018, and 1 paper accepted by NAACL 2018
01/2018 - Become a Ph.D. candidate
07/2017 - 1 paper accepted by ICCV 2017
05/2017 - Summer intern in Microsoft Research Redmond
04/2017 - 1 arXiv preprint paper
04/2017 - Codes for our ECCV 2016 paper on LSTM-based video summarization are available now
01/2017 - Invited talks at NCTU, NTHU, and Academia Sinica on learning to share and zero-shot learning
10/2016 - Attending ECCV for a spotlight and poster presentation
08/2016 - Codes and data of our zero-shot learning paper in CVPR 2016 are released.
08/2016 - I will attend deep learning summer school in Montreal, CA.
07/2016 - 2 papers accepted by ECCV 2016
07/2016 - Attending CVPR for an oral and poster presentation
06/2016 - 3 arXiv preprint papers
04/2016 - 2 papers accepted by CVPR 2016
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