Weijie Huang

Code. Study. Live.

Howdy! This is Weijie Huang (黄炜杰, pronounces "Way-Jee(-eh) Hwahng").

I am a Ph.D. student in Computer Science at Indiana University Bloomington, supervised by Prof. Haixu Tang and Prof. Chenghong Wang (previously Prof. XiaoFeng Wang). I was previously a Ph.D. student at Rice University with Dr. Nathan Dautenhahn advising me. My research interests lie at the intersection of system security, trusted execution environments (TEEs), and high-performance computing, with a recent focus on securing and optimizing LLM infrastructures. I am also interested in program analysis, least-privilege principles and agentic security & privacy. I obtained my B.Eng. degree in Computer Science and Engineering at Southern University of Science and Technology in 2022. It was a great time working with Prof. Fengwei Zhang.

Recent Publications

Towards Practical Oblivious Relational Analytics with Heterogeneous TEE
Weijie Huang, Chenghong Wang, XiaoFeng Wang
2027 IEEE Symposium on Security and Privacy (S&P)
[Code]

Hoss: Fast Oblivious Semantic Search with Heterogeneous GPU-CPU-TEE Architecture
Jianzhang Du*, Weijie Huang*, Chenghong Wang, Nicolas Tsagareli, Yukui Luo, XiaoFeng Wang, Zhongshu Gu
2026 ACM SIGSAC Conference on Computer and Communications Security
*: Equal contribution
[Code]

Large Language Model-Powered Evolutionary Code Optimization on a Phylogenetic Tree
Leyi Zhao*, Weijie Huang*, Yitong Guo, Jiang Bian, Chenghong Wang, Xuhong Zhang
arXiv Preprint
*: Equal contribution
[URL] [Code]