Last updated: Oct 1, 2026

👋 Hello! This is Qi Luo, a second-year Ph.D. student in Microelectronics at HKUST(GZ), focusing on Computer Architecture.

📰 News

• One paper was accepted by NeurIPS 2026 Workshop on Resource-Aware Agentic AI (RAAAI) 🎉🎉🎉
• One paper was accepted by SC’26 🎉🎉🎉

🎓 Education

• (2025.06-) Ph.D. in The Hong Kong University of Science and Technology (Guangzhou).
  • Supervised by Prof. Yun Chen
• (2022.09-2025.06) M.S. in Southern University of Science and Technology.
  • Supervised by Prof. Yuqun Zhang
• (2015.09-2019.06) B.S. in Xidian University.

📄 Publications

1. [SC'26] PHANTOM: Phase-Aware Power Management for Energy-Efficient LLM Training. CCF-A
   Qi Luo, Kunlin Li, Changxi Liu, Dongsheng Wang, and Yun Chen.
   The International Conference for High Performance Computing, Networking, Storage, and Analysis.
2. [NeurIPS'26 Workshop RAAAI] Where Does the Energy Go? Profiling LLM Agent Inference on Blackwell GPUs.
   Qi Luo, Kunlin Li, Ziwen Wang, and Yun Chen.
   NeurIPS 2026 Workshop on Resource-Aware Agentic AI.
3. [NeurIPS'25] Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation. CCF-A
   Hanzhuo Tan, Xiaolong Tian, Hanrui Qi, Jiaming Liu, Zuchen Gao, Siyi Wang, Qi Luo, Jing Li, and Yuqun Zhang.
   [paper] [code] [Dataset]
4. [TOSEM'25] Prompt-based Code Completion via Multi-Retrieval Augmented Generation. CCF-A
   Hanzhuo Tan, Qi Luo (co-first author), Ling Jiang, Zizheng Zhan, Jing Li, Haotian Zhang, and Yuqun Zhang.
   [paper]
5. [TSE'25] Condor: A Code Discriminator Integrating General Semantics with Code Details. CCF-A
   Qingyuan Liang, Zhao Zhang, Chen Liu, Zeyu Sun, Wenjie Zhang, Yizhou Chen, Zixiao Zhao, Qi Luo, Wentao Wang, Yanjie Jiang, Yingfei Xiong, and Lu Zhang.
   [paper]
6. [ACL'25 Findings] Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs? CCF-A
   Qingyuan Liang, Zhao Zhang, Zeyu Sun, Zheng Lin, Qi Luo, Yueyi Xiao, Yizhou Chen, Yuqun Zhang, Haotian Zhang, Lu Zhang, Bin Chen, and Yingfei Xiong.
   [paper]
7. [EMNLP'24] LLM4Decompile: Decompiling Binary Code with Large Language Models. CCF-B
   Star Loading...
   
   Hanzhuo Tan, Qi Luo, Jing Li, and Yuqun Zhang.
   [paper] [code] [models]
8. [FSE'23] Enhancing Coverage-Guided Fuzzing via Phantom Program. CCF-A
   Mingyuan Wu, Kunqiu Chen, Qi Luo, Jiahong Xiang, Ji Qi, Junjie Chen, Heming Cui, and Yuqun Zhang.
   [paper]

📝 Under Review

1. [AAAI'27] Request-Level Energy Attribution for Batched LLM Serving.
   Qi Luo, Kunlin Li, Ziwen Wang, Dongsheng Wang, and Yun Chen.
   [paper]
2. [AAAI'27] TRACE: Tool-Relevance-Aware Cache Eviction with Conformal Guarantees for Agentic Inference.
   Qi Luo, Kunlin Li, Ziwen Wang, Dongsheng Wang, and Yun Chen.
3. [AAAI'27] The Gate, Not the Cache: Gate Provenance Bounds the Closed-Loop Reliability of Training-Free VLA Token Skipping.
   Qi Luo, Shuaijun Liu, Hao Zhao, Kunlin Li, Xiaobo Wang, Ningxing Su, Dongsheng Wang, and Yun Chen.
   [paper]

💼 Experience

• (2026.06-2026.09) Sangfor Technologies, Embodied AI Research Intern.
• (2023.06-2024.12) Kwai, LLM Algorithm Engineer Intern.
• (2019.07-2021.06) Streamax Technology, Algorithm Engineer.
• (2018.05-2018.08) Huawei, Software Development Engineer Intern.