Minhao Cheng

1.8k total citations
28 papers, 468 citations indexed

About

Minhao Cheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Minhao Cheng has authored 28 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Minhao Cheng's work include Adversarial Robustness in Machine Learning (10 papers), Topic Modeling (5 papers) and Advanced Neural Network Applications (4 papers). Minhao Cheng is often cited by papers focused on Adversarial Robustness in Machine Learning (10 papers), Topic Modeling (5 papers) and Advanced Neural Network Applications (4 papers). Minhao Cheng collaborates with scholars based in United States, China and Hong Kong. Minhao Cheng's co-authors include Cho‐Jui Hsieh, Pin‐Yu Chen, Jinfeng Yi, Huan Zhang, Yao Li, Thomas C. M. Lee, Wei Wei, Ruochen Wang, Wei Wei and Wen‐Lian Hsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Energy storage materials.

In The Last Decade

Minhao Cheng

24 papers receiving 444 citations

Peers

Countries citing papers authored by Minhao Cheng

Since Specialization

Citations

This map shows the geographic impact of Minhao Cheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minhao Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhao Cheng more than expected).

Fields of papers citing papers by Minhao Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minhao Cheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Minhao Cheng. The network helps show where Minhao Cheng may publish in the future.

Co-authorship network of co-authors of Minhao Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Minhao Cheng. A scholar is included among the top collaborators of Minhao Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minhao Cheng. Minhao Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks 2025 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Hongyang Chen, Minhao Cheng, (unknown)	1
2	Forecasting battery degradation trajectory under domain shift with domain generalization 2024 ·Energy storage materials ·(unknown), (unknown), Minhao Cheng, Jia Li, Jiaqiang Huang, Tong‐Yi Zhang	5
3	DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho‐Jui Hsieh	3
4	GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Minhao Cheng	0
5	Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), (unknown), Chenglong Deng, (unknown), Gang Chen, Minhao Cheng, Hongyang Chen	0
6	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng	13
7	CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity 2023 ·BMC Bioinformatics ·Jian‐Qiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong	8
8	PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), (unknown), Heng Huang, Minhao Cheng	3
9	Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), (unknown), Yi Wang, (unknown), Minhao Cheng, Sheng Wang	24
10	FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning 2023 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho‐Jui Hsieh	46
11	Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks 2022 ·World Wide Web ·(unknown), Zhu Xiao, Dong Wang, Minhao Cheng, Hongyang Chen, (unknown)	14
12	MSDT: Masked Language Model Scoring Defense in Text Domain 2022 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Minhao Cheng, Yajun Fang	1
13	CAT: Customized Adversarial Training for Improved Robustness 2022 ·Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Minhao Cheng, Qi Lei, Pin‐Yu Chen, Inderjit S. Dhillon, Cho‐Jui Hsieh	17
14	A Review of Adversarial Attack and Defense for Classification Methods 2021 ·The American Statistician ·Yao Li, Minhao Cheng, Cho‐Jui Hsieh, Thomas C. M. Lee	43
15	Rethinking Architecture Selection in Differentiable NAS 2021 ·arXiv (Cornell University) ·Ruochen Wang, Minhao Cheng, Xiangning Chen, (unknown), Cho‐Jui Hsieh	12
16	RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho‐Jui Hsieh	5
17	Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples 2020 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho‐Jui Hsieh, Minhao Cheng, Xuanjing Huang	28
18	On the Robustness of Self-Attentive Models 2019 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen‐Lian Hsu, Cho‐Jui Hsieh	62
19	Learning from Group Comparisons: Exploiting Higher Order Interactions 2018 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yao Li, Minhao Cheng, (unknown), Fushing Hsieh, Cho‐Jui Hsieh	11
20	Extreme Learning to Rank via Low Rank Assumption 2018 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Minhao Cheng, Ian Davidson, Cho‐Jui Hsieh	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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