News
Apr 2026
Two papers accepted to ACL 2026 Findings: Better LLM Reasoning via Dual-play and GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs. See you in San Diego!
Nov 2025
We released Better LLM Reasoning via Dual-play, a novel framework that trains two nearly identical models adversarially, enabling them to co-evolve through iterative competition without any external supervision.
Read the blog post →
Publications
Preprints
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks
Graph-based Multi-Task Learning Framework for Model Generalization across Network Topologies
2026
Better LLM Reasoning via Dual-play
Findings of the Association for Computational Linguistics (ACL), 2026
GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs
Findings of the Association for Computational Linguistics (ACL), 2026
HumanGuideNet: Adapter-Based Alignment of Deep Neural Networks with Human Similarity Judgments
The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Mar 2026
HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), Jan 2026
2025
Learning-Enhanced High-Throughput Pattern Matching Based on Programmable Data Plane
The 2025 USENIX Annual Technical Conference (ATC), July 2025
2024
Quantized Side Tuning: Fast and Efficient Tuning of Quantized Large Language Models
Outstanding Paper Award
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), August 2024. Oral presentation.
Specinfer: Accelerating Large Language Model Serving with Tree-Based Speculative Inference and Verification
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
IEEE Transactions on Dependable and Secure Computing (TDSC), July 2024
SeIoT: Smart Home Network Anomaly Detection via Knowledge Graph
IEEE Transactions on Information Forensics and Security (TIFS), July 2024
2023
Metis: Understanding and Enhancing Regular Expressions in Network
Neural Information Processing Systems (NeurIPS), December 2023
Pontus: Finding Waves in Data Streams
ACM SIGMOD International Conference on Management of Data (SIGMOD), June 2023
* denotes equal contribution
Education
2024 – Present
Ph.D. in Computer Science, Cornell University
2023 – 2024
Visiting Scholar in Computer Science, Carnegie Mellon University
2021 – 2024
M.S. in Computer Science and Engineering, Tsinghua University
GPA 3.88 / 4.0
2017 – 2021
B.S. in Software Engineering, Xidian University
GPA 3.86 / 4.0 · Rank 2 / 110
Awards
- ACL Outstanding Paper Award, 2024
- Outstanding Master Dissertation Award, Tsinghua University, 2024
- First Prize Scholarship, Tsinghua University, 2022 & 2023
- Second Place, Intel® 2022 P4 China Hackathon
- Outstanding Graduates, Ministry of Education of Shaanxi Province
- Outstanding Student, Xidian University, 2018 – 2020
- National Scholarship, Ministry of Education of the People's Republic of China, 2020
- First Prize Scholarship, Xidian University, 2018 & 2019
- First Prize (selected for excellent papers, winning rate 0.036‰), China Undergraduate Mathematical Contest in Modeling, 2019
- First Prize, Xidian University Mathematical Modeling Contest, 2019
- Meritorious Winner, International Mathematical Contest in Modeling, 2018
Experience
Jun 2023 – Aug 2024
Research Assistant, Carnegie Mellon University
Supervised by Prof. Zhihao Jia · Machine learning and large language models
Sep 2022 – Aug 2023
Research Intern, Tencent, Shenzhen
XDP and eBPF algorithm design
Talks
Cornell NLP Seminar: Quantized Side Tuning · Sep 2024
Tencent: Regular Expressions in the Data Plane · Dec 2023
Academic Service
ICLR Reviewer 2025
AAAI Programme Committee 2025
NeurIPS Reviewer 2024, 2025
COLM Reviewer 2025