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Hongbin Zhong (钟宏斌) Email: hzhong81 [at] gatech [dot] edu |
Second-year PhD student at Georgia Institute of Technology, advised by Prof. Kexin Rong, working on LLM Inference, LLM Agents. A long time ago I also worked on database systems, but I don't do that now.
TokenSpeed (Repo Collaborator)
[code]
ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory
submitted to SOSP
StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation
ICML 2026
Stable Signer: Hierarchical Sign Language Generative Model
ACL 2026 🏆 Best Paper Nomination
HoneyBee: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning
SIGMOD 2026
Fast Hypothetical Updates Evaluation
SIGMOD 2025 (Demo)
FaDE: More Than a Million What-ifs Per Second
VLDB 2025 (Implemented as a DuckDB extension)
Accelerating Deletion Interventions on OLAP Workload
ICDE 2024
PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation
SIGMOD 2024 (Adopted by OpenMLDB)
May 2026 – PresentTogether AI · Research Intern
Open-source inference engine TokenSpeed — efficient LLM inference: long-context decoding, KV-cache management, GPU-efficient execution.
May 2025 – Aug 2025Microsoft Research · Research Intern
Planning and reasoning for GUI agents.
Jul 2023 – Dec 2023Columbia University · Research Intern
Databases (C++/C); worked with Eugene Wu.
Feb 2023 – Jul 20234Paradigm 第四范式 · Research Intern
AI Infra.
Apr 2022 – Sep 2022Meituan · Software Engineer
Back-end web development (Java).
Reviewer · ICML 2026 (Golden Reviewer)
Reviewer · NeurIPS 2026