Minhao CHENG
程黽昊
PhD in Computer Science
University of California, Los Angeles, 2021

Assistant Professor
Department of Computer Science and Engineering



(852) 2358 7011
minhaocheng@ust.hk
Room 2542
Personal Web

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Google Scholar
_LkC1yoAAAAJ

ORCID
0000-0003-3965-4215

Scopus ID
57201213233




Research Interest Publications




Research Interest

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Machine learning
Artificial intelligence
Computer vision



Publications

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All Years 17 2022 1 2021 4 2020 3 2019 4 2018 4 2017 1

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2022 1

A Review of Adversarial Attack and Defense for Classification Methods
American Statistician, 4 January 2022
Li, Yao; Cheng, Minhao; Hsieh, Cho-Jui; Lee, Thomas C.M. Article

2021 4

DrNAS: Dirichlet Neural Architecture Search
9th International Conference on Learning Representation, ICLR 2021, Virtual, 3-5 May 2021
Chen, Xiangning; Wang, Ruochen; Cheng, Minhao; Tang, Xiaocheng; Hsieh, Cho-Jui Conference paper
RANK-NOSH: Efficient Predictor-Based NAS via Non-Uniform Successive Halving
IEEE/CVF International Conference on Computer Vision, ICCV 2021, Virtual, 11-17 October 2021
Wang, Ruochen; Chen, Xiangning; Cheng, Minhao; Tang, Xiaocheng; Hsieh, Cho-Jui Conference paper
Rethinking Architecture Selection in Differentiable NAS
9th International Conference on Learning Representation, ICLR 2021, Virtual, 3-5 May 2021
Wang, Ruochen; Cheng, Minhao; Chen, Xiangning; Tang, Xiaocheng; Hsien, Cho-Jui Conference paper
Self-Progressing Robust Training
Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (8), May 2021, p. 7107-7115, Session: Technical Tracks 8
Cheng, Minhao; Chen, Pin-Yu; Liu, Sijia; Chang, Shiyu; Hsieh, Cho-Jui; Das, Payel Conference paper

2020 3

Evaluating and enhancing the robustness of neural network-based dependency parsing models with adversarial examples
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 / Association for Computational Linguistics. Stroudsburg, USA : Association for Computational Linguistics, 2020, p. 6600-6610
Zheng, Xiaoqing; Zeng, Jiehang; Zhou, Yi; Hsieh, Cho-Jui; Cheng, Minhao; Huang, Xuanjing Conference paper
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (4), April 2020, p. 3601-3608, Session: Technical Tracks 4
Cheng, Minhao; Yi, Jinfeng; Chen, Pin-Yu; Zhang, Huan; Hsieh, Cho-Jui Conference paper
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
8th International Conference on Learning Representations, ICLR 2020, Virtual, 26 April - 1 May 2020
Cheng, Minhao; Singh, Simranjit; Chen, Patrick; Chen, Pin-Yu; Liu, Sijia; Hsieh, Cho-Jui Conference paper

2019 4

Evaluating and enhancing the robustness of dialogue systems: A case study on a negotiation agent
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 / Association for Computational Linguistics. Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 3325-3335
Cheng, Minhao; Wei, Wei; Hsieh, Cho-Jui Conference paper
Fast training for Large-Scale One-versus-All linear classifiers using Tree-Structured initialization
Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019 / Society of Industrial and Applied Mathematics. Philadelphia, USA : Society of Industrial and Applied Mathematics, 2019, p. 280-288
Fang, Huang; Cheng, Minhao; Hsieh, Cho-Jui; Friedlander, Michael Conference paper
On the robustness of self-attentive models
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 / Association for Computational Linguistics. Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 1520-1529
Hsieh, Yu-Lun; Cheng, Minhao; Juan, Da-Cheng; Wei, Wei; Hsu, Wen-Lian; Hsieh, Cho-Jui Conference paper
Query-efficient hard-label black-box attack: An optimization-based approach
7th International Conference on Learning Representations, ICLR 2019, New Orleans, 6-9 May 2019
Cheng, Minhao; Zhang, Huan; Hsieh, Cho-Jui; Le, Thong; Chen, Pin-Yu; Yi, Jinfeng Conference paper

2018 4

Distributed primal-dual optimization for non-uniformly distributed data
IJCAI International Joint Conference on Artificial Intelligence, v 2018, July 2018, p. 2028-2034
Cheng, Minhao; Hsieh, Cho-Jui Conference paper
Extreme learning to rank via low rank assumption
35th International Conference on Machine Learning, ICML 2018, Volume 3 / Editors Jennifer Dy, Anfreas Krause. Stroudsburg, USA : International Machine Learning Society, 2018, p. 1533-1544, Book Series: Proceedings of Machine Learning Research, v. 80
Cheng, Minhao; Davidson, Ian; Hsich, Cho-Jui Conference paper
Learning from group comparisons: Exploiting higher order interactions
Advances in Neural Information Processing Systems, v. 31, 2018, p. 4981-4990
Li, Yao; Cheng, Minhao; Fujii, Kevin; Hsieh, Fushing; Hsieh, Cho-Jui Conference paper
Towards robust neural networks via random self-ensemble
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11211 LNCS, 2018, p. 381-397
Liu, Xuanqing; Cheng, Minhao; Zhang, Huan; Hsieh, Cho-Jui Conference paper

2017 1

A hyperplane-based algorithm for semi-supervised dimension reduction
Proceedings - IEEE International Conference on Data Mining, ICDM, v. 2017, November 2017, p. 101-110
Fang, Huang; Cheng, Minhao; Hsieh, Cho-Jui Conference paper


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Article 1

A Review of Adversarial Attack and Defense for Classification Methods
American Statistician, 4 January 2022
Li, Yao; Cheng, Minhao; Hsieh, Cho-Jui; Lee, Thomas C.M.


Expand All Collapse All


Conference paper 4

DrNAS: Dirichlet Neural Architecture Search
9th International Conference on Learning Representation, ICLR 2021, Virtual, 3-5 May 2021
Chen, Xiangning; Wang, Ruochen; Cheng, Minhao; Tang, Xiaocheng; Hsieh, Cho-Jui
RANK-NOSH: Efficient Predictor-Based NAS via Non-Uniform Successive Halving
IEEE/CVF International Conference on Computer Vision, ICCV 2021, Virtual, 11-17 October 2021
Wang, Ruochen; Chen, Xiangning; Cheng, Minhao; Tang, Xiaocheng; Hsieh, Cho-Jui
Rethinking Architecture Selection in Differentiable NAS
9th International Conference on Learning Representation, ICLR 2021, Virtual, 3-5 May 2021
Wang, Ruochen; Cheng, Minhao; Chen, Xiangning; Tang, Xiaocheng; Hsien, Cho-Jui
Self-Progressing Robust Training
Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, (8), May 2021, p. 7107-7115, Session: Technical Tracks 8
Cheng, Minhao; Chen, Pin-Yu; Liu, Sijia; Chang, Shiyu; Hsieh, Cho-Jui; Das, Payel


Expand All Collapse All


Conference paper 3

Evaluating and enhancing the robustness of neural network-based dependency parsing models with adversarial examples
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 / Association for Computational Linguistics. Stroudsburg, USA : Association for Computational Linguistics, 2020, p. 6600-6610
Zheng, Xiaoqing; Zeng, Jiehang; Zhou, Yi; Hsieh, Cho-Jui; Cheng, Minhao; Huang, Xuanjing
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples
Proceedings of the AAAI Conference on Artificial Intelligence, v. 34, (4), April 2020, p. 3601-3608, Session: Technical Tracks 4
Cheng, Minhao; Yi, Jinfeng; Chen, Pin-Yu; Zhang, Huan; Hsieh, Cho-Jui
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
8th International Conference on Learning Representations, ICLR 2020, Virtual, 26 April - 1 May 2020
Cheng, Minhao; Singh, Simranjit; Chen, Patrick; Chen, Pin-Yu; Liu, Sijia; Hsieh, Cho-Jui


Expand All Collapse All


Conference paper 4

Evaluating and enhancing the robustness of dialogue systems: A case study on a negotiation agent
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 / Association for Computational Linguistics. Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 3325-3335
Cheng, Minhao; Wei, Wei; Hsieh, Cho-Jui
Fast training for Large-Scale One-versus-All linear classifiers using Tree-Structured initialization
Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019 / Society of Industrial and Applied Mathematics. Philadelphia, USA : Society of Industrial and Applied Mathematics, 2019, p. 280-288
Fang, Huang; Cheng, Minhao; Hsieh, Cho-Jui; Friedlander, Michael
On the robustness of self-attentive models
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, ACL 2019 / Association for Computational Linguistics. Stroudsburg, USA : Association for Computational Linguistics, 2019, p. 1520-1529
Hsieh, Yu-Lun; Cheng, Minhao; Juan, Da-Cheng; Wei, Wei; Hsu, Wen-Lian; Hsieh, Cho-Jui
Query-efficient hard-label black-box attack: An optimization-based approach
7th International Conference on Learning Representations, ICLR 2019, New Orleans, 6-9 May 2019
Cheng, Minhao; Zhang, Huan; Hsieh, Cho-Jui; Le, Thong; Chen, Pin-Yu; Yi, Jinfeng


Expand All Collapse All


Conference paper 4

Distributed primal-dual optimization for non-uniformly distributed data
IJCAI International Joint Conference on Artificial Intelligence, v 2018, July 2018, p. 2028-2034
Cheng, Minhao; Hsieh, Cho-Jui
Extreme learning to rank via low rank assumption
35th International Conference on Machine Learning, ICML 2018, Volume 3 / Editors Jennifer Dy, Anfreas Krause. Stroudsburg, USA : International Machine Learning Society, 2018, p. 1533-1544, Book Series: Proceedings of Machine Learning Research, v. 80
Cheng, Minhao; Davidson, Ian; Hsich, Cho-Jui
Learning from group comparisons: Exploiting higher order interactions
Advances in Neural Information Processing Systems, v. 31, 2018, p. 4981-4990
Li, Yao; Cheng, Minhao; Fujii, Kevin; Hsieh, Fushing; Hsieh, Cho-Jui
Towards robust neural networks via random self-ensemble
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11211 LNCS, 2018, p. 381-397
Liu, Xuanqing; Cheng, Minhao; Zhang, Huan; Hsieh, Cho-Jui


Expand All Collapse All


Conference paper 1

A hyperplane-based algorithm for semi-supervised dimension reduction
Proceedings - IEEE International Conference on Data Mining, ICDM, v. 2017, November 2017, p. 101-110
Fang, Huang; Cheng, Minhao; Hsieh, Cho-Jui









ProjectsFrom January 2020 to December 2022

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