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I am currently a first-year CS PhD student at Cornell University advised by Prof. Claire Cardie. Previously, I was a research assistant at Carnegie Mellon University supervised by Prof. Zhihao Jia. I obtained master degree at Tsinghua University supervised by Prof. Yong Jiang. My research interests include data stream structure and algorithms design, programmable switches, machine learning, and large language models. I received my Bachelor's degree at the CS department of Xidian University, where I was supervised by Prof. Yuesheng Xu.
Preprints
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GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs.
Zhengxin Zhang*, Chengyu Huang*, Xufu Liu, Dan Zhao, Jinyan Su, Claire Cardie. -
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks.
Jinyan Su, Jin Peng Zhou, Zhengxin Zhang, Preslav Nakov, Claire Cardie. -
Graph-based Multi-Task Learning Framework for Model Generalization across Network Topologies.
Jingyu Xiao, Qing Li, Zhengxin Zhang, Dan Zhao, and Yong Jiang.
Publications
2025
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Learning-Enhanced High-Throughput Pattern Matching Based on Programmable Data Plane.
Guanglin Duan*, Yucheng Huang*, Zhengxin Zhang*, Qing Li, Dan Zhao, and Yong Jiang. The 2025 USENIX Annual Technical Conference (ATC), July 2025.
2024
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Quantized Side Tuning: Fast and Efficient Tuning of Quantized Large Language Models.
Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Qing Li, Yong Jiang, and Zhihao Jia. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), August 2024. Oral presentation. Outstanding Paper Award. -
Specinfer: Accelerating large language model serving with tree-based speculative inference and verification.
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia. Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), July 2024. -
DNSGuard: In-network Defense against DNS Attacks.
Guanglin Duan, Qing Li, Zhengxin Zhang, Dan Zhao, Guorui Xie, and Yong Jiang. IEEE Transactions on Dependable and Secure Computing (TDSC), July 2024. -
SeIoT: Smart Home Network Anomaly Detection via Knowledge Graph.
Qing Li, Ruoyu Li, Yucheng Huang, Qingsong Zou, Dan Zhao, Zhengxin Zhang, and Yong Jiang. IEEE Transactions on Information Forensics and Security (TIFS), July 2024.
2023
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Metis: Understanding and Enhancing Regular Expressions in Network.
Zhengxin Zhang*, Yucheng Huang*, Guanglin Duan*, Qing Li, Dan Zhao, Yong Jiang, Lianbo Ma, Xiao Xi, and Hengyang Xu. Neural Information Processing Systems (NeurIPS), December 2023. -
Pontus: Finding Waves in Data Streams.
Zhengxin Zhang, Qing Li, Guanglin Duan, Dan Zhao, Jingyu Xiao, Guorui Xie, and Yong Jiang. ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2023.
* denotes equal contribution
Education
| 2024-now | Ph.D. in Computer Science, Cornell University |
| 2021-2024 | M.S. in Computer Science and Engineering, Tsinghua University |
| GPA 3.88/4 | |
| 2017-2021 | B.S. in Software Engineering, Xidian University |
| GPA 3.86/4, Rank 2/110 | |
| 2023-2024 | Visiting scholar in Computer Science, Carnegie Mellon University |
Awards
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ACL Outstanding Paper Award 2024
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Outstanding Master Dissertation Award 2024, Tsinghua University
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First Prize Scholarship 2022, 2023, Tsinghua University
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Second Place, Intel® 2022 P4 China Hackathon
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Outstanding Graduates, Ministry of Education of Shaanxi Province
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Outstanding Student 2018, 2019, 2020, Xidian University
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National Scholarship 2020, Ministry of Education of the People’s Republic of China
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First Prize Scholarship 2018, 2019, Xidian University
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First Prize (selected for excellent papers, winning rate 0.036‰) 2019, China Undergraduate Mathematical Contest in Modeling
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First Prize 2019, Xidian University Mathematical Modeling Contest
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Meritorious Winner 2018, International Mathematical Contest in Modeling
Internships
| Jun 2023 to Aug 2024 | Research assistant at Carnegie Mellon University supervised by Prof. Zhihao Jia |
| Topic: Machine learning and large language models |
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| Sep 2022 to Aug 2023 | Internship at Tencent, Shenzhen, China |
| Topic: XDP and eBPF algorithm design |
Talks
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Cornell NLP Seminar: Quantized Side Tuning: Fast and Efficient Tuning of Quantized Large Language Models. Sep 2024.
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Tencent: Regular Expressions in the Data Plane. Dec 2023.
Services
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NeurIPS Reviewer 2024, 2025.
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COLM Reviewer 2025.