Publications

Simin Chen, Jinjun Peng, Yixin He, Junfeng Yang, Baishakhi Ray (2026). Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers. In S&P 2026 🏆 Distinguished Paper Award.

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Junxian Li, Beining Xu, Simin Chen, Jiatong Li, Jingdi Lei, Haodong Zhao, Di Zhang (2026). IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding. In CVPR 2026.

Yuan Yao, Lixu Wang, Jiaqi Wu, Jin Song, Simin Chen, Zehua Wang, Zijian Tian, Wei Chen, Huixia Li, Xiaoxiao Li (2026). FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning. In CVPR 2026.

Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail Kaiser, Baishakhi Ray, Wei Le (2026). CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning. In ICLR 2026.

Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren, Zihe Song, Hao Yu, Jialei Wei, Linyi Li, Wei Yang, Baishakhi Ray, Tao Xie (2026). From Assistant to Independent Developer — Are GPTs Ready for Software Development?. In ICLR 2026.

Zhixin Zhao, Yitao Hu, Simin Chen, Mingfang Ji, Wei Yang, Yuhao Zhang, Laiping Zhao, Wenxin Li, Xiulong Liu, Wenyu Qu, Hao Wang (2025). PARD: Enhancing Goodput for Inference Pipeline via Proactive Request Dropping. In EuroSys 2026.

Simin Chen, Yiming Chen, Zexin Li, Yifan Jiang, Zhongwei Wan, Yixin He, Dezhi Ran, Tianle Gu, Haizhou Li, Tao Xie, Baishakhi Ray (2025). TITLE_TODO -- please fill in the EMNLP 2025 paper title. In EMNLP 2025.

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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