Simin Chen

Simin Chen

Postdoctoral Researcher at Columbia University

Computer Science Department at Columbia University

Biography

I am a postdoctoral researcher in the Computer Science Department at Columbia University, working with Prof.Baishakhi Ray on research related to large language models for code (LLM4Code). I earned my Ph.D. from the University of Texas at Dallas (UTD), and I was fortunate to be advised by Prof.Wei Yang and Prof.Cong Liu. Before joining UTD, I received my master degree from Tongji University in May 2018. My research interest lies in machine learning, computer security, and program analysis.

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Interests
  • Machine Learning
  • Computer Security
  • Software Engineering
Education

  • Ph.D., 2019 - 2024

    The University of Texas at Dallas

  • Master, 2015 - 2018

    Tongji University

  • Bachelor, 2011 - 2015

    Tongji University

News

October 2024 -- Serve as a reviewer of CVPR 2025.
August 2025 -- Serve as a reviewer for ICLR 2025.
July 2024 -- Serve as a program committee on the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024).
June 2024 -- Serve as a Program Committee for AAAI 2025.
April 2024 -- One paper is accepted to ESEC/FSE 2024 after major revision.
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Publications

Simin Chen, Zexin Li, Wei Yang, Cong Liu (2024). DeciX: Explain Deep Learning Based Code Generation Applications. In ESEC/FSE 2024.

Simin Chen, Xiaoning Feng, Xiaohong Han, Cong Liu, Wei Yang (2024). PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models. In ESEC/FSE 2024.

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Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby Tan, Haizhou Li (2023). Dynamic Transformer Provide a False Sense of Efficiency. In ACL 2023.

Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang (2023). The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection. In CVPR 2023.

Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu (2023). Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition. In CVPR 2023.

Simin Chen, Shiyi Wei, Cong Liu, Wei Yang (2023). DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization. In ISSTA 2023.

Simin Chen, Mirazul Haque, Cong Liu, Wei Yang (2022). DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. In ASE 2022.

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Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang (2022). NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems. In ESEC/FSE 2022.

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Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang (2022). Learning to Reverse DNNs from AI Programs Automatically. In IJCAI 2022.

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Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang (2022). NICGSlowDown: Evaluating the Efficiency Robustness of Neural Caption Generation Models. In CVPR 2022.

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Simin Chen, Soroush Bateni, Sampath Grandhi, Xiaodi Li, Cong Liu, Wei Yang (2020). DENAS: automated rule generation by knowledge extraction from neural networks. In ESEC/FSE 2020.

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Experience

 
 
 
 
 
Research Assistant
Amazon Web Service
May 2023 – Aug 2023 Arlington Area, VA
Applying large language model for Cedar authorization policy language.
 
 
 
 
 
Research Assistant
Microsoft Research
May 2021 – Jul 2020 Seattle
Evaluate the model leakage risk of on-device DNNs.
 
 
 
 
 
Research Assistant
NEC Laboratories America
Jan 2020 – May 2020 New Jersey
Apply ML techniques for program analysis.

Services

Program Committee Member -- CVPR 2024, AAAI 2024, ICA3PP 2023, ICCV 2023, MSR 2023, CVPR 2023, AAAI 2023, WACV 2022, ECCV 2022
Sub-Reviewer -- ISSRE 2023, ASE 2023, ICSE 2023, ICST 2023, ASE 2022, ICST 2022, ICSE 2021

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