Shu Hu 胡暑

I am an assistant professor in the Department of Computer and Information Technology at Purdue University (2024.7-) and Indiana University-Purdue University Indianapolis (2023.8-2024.6).

I was a Post-Doctoral Fellow at the Heinz College of Carnegie Mellon University from 2022 to 2023, where I worked with Prof. George H. Chen. I received my Ph.D. degree in Computer Science and Engineering from University at Buffalo (UBuffalo), SUNY in 2022 under the advising of Prof. Siwei Lyu. I spend my first and second year of Ph.D. at University at Albany (UAlbany), SUNY. During the first year of my Ph.D., I was working with Prof. Feng Chen. I received my Master of Arts (Mathematics) degree from University at Albany, SUNY in 2020 under the advising of Prof. Yiming Ying and I also received my Master of Engineering degree from University of Science and Technology of China (USTC) in 2016 under the advising of Prof. En-Hong Chen. I was previously a visiting student (2014-2015) at University of South Australia (UniSA), where I worked with Prof. Jiuyong Li and Dr. Thuc Duy Le.

My current research interests include machine learning, media forensics, and computer vision.

News

(4/24/2024) I received the NSF CRII Award ($175,000) as a sole PI. Thanks to NSF!
(3/15/2024) Four papers accepted by IJCNN 2024.
(2/26/2024) Congratulations to Ph.D. student Li Lin for having her paper accepted by CVPR 2024 (Acceptance rate 23.6% of 11,532 submissions) as the first author, an impressive achievement just three months after joining the group.
(2/16/2024) One paper accepted by Electronics Journal 2024.
(2/2/2024) One paper accepted by ISBI 2024.
(1/23/2024) Our survey 'Detecting Multimedia Generated by Large AI Models: A Survey' is avaiable on [ArXiv].
(12/13/2023) One paper accepted by ICASSP 2024 (Acceptance rate 45% of 5796 submissions).
(11/24/2023) I am invited to serve The 20th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) 2024 as a Organizing Committee Member.
(10/24/2023) One paper accepted by WACV 2024 (Acceptance rate 41.7% of 2041 submissions) [PDF][Code].
(10/16/2023) I am invited to serve The 7th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) 2024 as a Program Chair.
(09/10/2023) One paper accepted by ACML 2023 (Acceptance rate 35% of 333 submissions) [PDF][Code].
(08/12/2023) Our patent is published [Link].
(07/15/2023) Our GAN Face Detection survey is accepted by ECAI 2023 (Acceptance rate 24% of 1631 submissions). Please check it [HERE]
(07/05/2023) Our survey is accepted by TPAMI Journal 2023. Please check it [HERE]
(06/21/2023) One paper accepted by IROS 2023 (Acceptance rate 43.3% of 2760 submissions).
(06/17/2023) One paper accepted by MIPR 2023 (Invited Papers Track).
(04/19/2023) One paper accepted by IJCAI 2023 (Acceptance rate 15% of 4566 submissions).
(04/03/2023) One paper accepted by NTIRE Workshop at CVPR 2023 (as a participating team).
(04/03/2023) One paper accepted by Media Forensics Workshop at CVPR 2023.
(04/01/2023) One paper accepted by IEEE Access Journal.
(02/24/2023) One paper accepted by Frontiers in Physics Journal.
(01/16/2023) I received the Outstanding Reviewer Award from Machine Intelligence Research.[Award] [Plaque]
(12/07/2022) I received the CSE Best PhD Dissertation Award with a prize of $500 from University at Buffalo, SUNY.[Award] [Plaque and Check]
(10/22/2022) One paper accepted by Machine Learning for Health (ML4H 2022) symposium.
(07/18/2022) Our survey is avaiable on ArXiv. Please check it [HERE]. This is the first comprehensive survey on Rank-based Decomposable Losses in Machine Learning. Most importantly, we introduce a new set function, aggregator, to formulate aggregate loss and individual loss. We hope this survey can help researchers to design loss more flexibly in the future.
(06/03/2022) One paper accepted by Pattern Recognition Journal.
(05/15/2022) One paper accepted by the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022).
(05/09/2022) One demo paper accepted by IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2022).
(04/22/2022) I have passed my Ph.D. dissertation defense.
(04/15/2022) One paper accepted by Autonomous Driving Workshop at CVPR 2022.
(04/03/2022) One paper accepted by Journal of Machine Learning Research (JMLR).
(03/06/2022) One paper accepted by IEEE International Conference on Multimedia and Expo (ICME 2022).
(02/25/2022) One paper accepted by IEEE Access Journal.
(01/21/2022) One paper accepted by ICASSP 2022 [PDF]
(01/13/2022) One paper accepted by Computer Networks Journal [PDF]
(12/10/2021) I received the Honorable Mention of Agrusa CSE Student Innovation Competition 2021, University at Buffalo, SUNY. [Award]
(12/01/2021) One paper accepted by AAAI Conference on Artificial Intelligence (AAAI 2022).
(08/19/2021) I have passed my doctoral dissertation proposal defense.
(07/22/2021) One paper accepted by the International Conference on Computer Vision (ICCV 2021).
(06/21/2021) One paper accepted by the 2021 International Joint Conference on Biometrics (IJCB 2021).
(05/12/2021) I will join Robert Bosch LLC (Sunnyvale, CA) as a Deep Learning Research Intern (June 2021 - Aug 2021).
(03/15/2021) Our work on detecting GAN generated images using corneal reflections is reported by UB News. [Link]
(01/29/2021) One paper accepted by ICASSP 2021.
(12/11/2020) I got the first place in the graduate poster competition from the CSE department, University at Buffalo, SUNY. [Award]
(10/13/2020) Our work ''Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights'' has been mentioned by Financial Times and usa-vision

Shu Hu 胡暑

About Me

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