Publications

Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang (2025). SOK: Efficiency Robustness of Dynamic Deep Learning Systems. In USENIX Security 2025.

Simin Chen, Pranav Pusarla, Baishakhi Ray (2025). DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination. In ICML 2025.

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Jiaqi Wu, Simin Chen, Jing Tang, Yuzhe Yang, Yiming Chen, Lixu Wang, Song Lin, Zehua Wang, Wei Chen, Zijian Tian (2025). FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models. In ICCV 2025.

Dezhi Ran, Yuan Cao, Yuzhe Guo, Yuetong Li, Mengzhou Wu, Simin Chen, Wei Yang, Tao Xie (2025). Medusa: A Framework for Collaborative Development of Foundation Models with Automated Parameter Ownership Assignment. In FSE 2025.

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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