趙偉崙 Wei-Lun (Harry) Chao's Website
About Me
I am an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Ohio State University (OSU). My research interests are in machine learning and its applications to computer vision, autonomous driving, natural language processing, artificial intelligence, health care, etc. I am also the advisor of the OSU AI Club and the Buckeye AutoDrive Team for the SAE AutoDrive Challenge II.
Prior to joining OSU, I was a Postdoctoral Associate in Computer Science at Cornell University, working with Kilian Weinberger and Mark Campbell. 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.
I'm looking for one postdoc to work on machine learning, computer vision, and foundation models for Imageomics (https://imageomics.osu.edu/)! The start date can be as early as now!
I'm looking for a PhD student to start in Fall 2024.
What's New?
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 - 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 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 one 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 presentation and 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