Simin Chen
Simin Chen
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July 2022 -- Serve as a reviewer of WACV 2022.
I will Serve as an reviewer of WACV 2022.
Jul 7, 2022
3 min read
Reviewer
June 2022 -- One paper is accepted to ESEC/FSE 2022.
Our paper, NMTSloth, is accepted to ESEC/FSE 2022. NMTSloth is designed to test the performance degradation bugs in neural machine translation systems. We show NMTSloth can generate generate inputs that increase neural machine translation systems computational consumption upto 3153%.
Jun 14, 2022
3 min read
Publication
April 2022 -- Receive the travel grant award from CVPR22
I receive the travel grant award from CVPR22. Thank you, CVPR22!
Apr 29, 2022
3 min read
Award
April 2022 -- One paper is accepted to IJCAI 2022.
Our paper, NNReverse, is accepted to IJCAI 2022. NNReverse is an automatic approach for reversing DNNs from AI programs.
Apr 22, 2022
3 min read
Publication
April 2022 -- Serve as a reviewer of ECCV 2022.
I will Serve as an reviewer of ECCV 2022.
Apr 11, 2022
3 min read
Reviewer
April 2022 -- Serve as a student volunteer in ICSE 2022
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Apr 6, 2022
3 min read
Publication
March 2022 -- One paper is accepted to CVPR 2022.
Our paper, NICGSlowDown, is accepted to CVPR 2022. To the best of our knowledge, NICGSlowDown is the first work to evaluate the efficiency robustness of neural caption generation models.
Mar 3, 2022
3 min read
Publication
March 2021 -- Internship in Microsoft Research.
I will join Microsoft Research and work on the project of reversing neural networks.
Last updated on Mar 19, 2020
3 min read
Internship
November 2020 -- Serve as an additional reviewers in ICSE 2021 technical track.
I will serve as a Committee Member in Additional Reviewers within the Technical Track-track in ICSE 2021
Nov 10, 2020
3 min read
Publication
May 2020 -- One paper is accepted to ESEC/FSE 2020.
Our paper, DENAS, is accepted to ESEC/FSE 2020. DENAS is designed to extract human-understandable rules from well-trained DNNs. Furthermore, DENAS can help model developers locate the DNN bugs and fix the DNN bugs through targeted retraining.
May 10, 2020
3 min read
Publication
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