Hongbin Zhong(钟宏斌)CS PhD Student
Georgia Institute of Technology
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Biography
I am a second-year PhD student at Georgia Tech, advised by Prof. Kexin Rong. I work on AI Agents and Data-intensive Systems, bridging the gap between high-performance infrastructure and cognitive reasoning capabilities.
Preprint and Draft
Beyond Screenshots: An Dynamic State-Machine Memory and Global Programmatic Planner for WebAgents
Hongbin Zhong* with Microsoft Research People
(Collaboration with Microsoft Research)StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation
Sen Fang*, Hongbin Zhong*, Yalin Feng, Dimitris N. Metaxas
submitted to ICML 2026
[paper]
Stable Signer: Hierarchical Sign Language Generative Model
Sen Fang*, Yalin Feng*, Hongbin Zhong, Yanxin Zhang, Dimitris N. Metaxas
submitted to ACL 2026
[paper]
Selected Publications
HoneyBee: Efficient Role-based Access Control for Vector Databases via Dynamic Partitioning
Hongbin Zhong*, Matthew Lentz, Nina Narodytska, Adriana Szekeres, Kexin Rong
SIGMOD 2026
Fast Hypothetical Updates Evaluation
Haneen Mohammed*, Alexander Yao*, Charlie Summers*, Hongbin Zhong, Gromit Yeuk-Yin Chan, Sub- rata Mitra, Lampros Flokas, Eugene Wu
SIGMOD 2025 DEMO
FaDE: More Than a Million What-ifs Per Second
Haneen Mohammed*, Alexander Yao*, Charlie Summers*, Hongbin Zhong, Gromit Yeuk-Yin Chan, Subrata Mitra, Lampros Flokas, Eugene Wu
VLDB 2025
[code] (Implemented as a DuckDB extension)
Accelerating Deletion Interventions on OLAP Workload
Haneen Mohammed, Alexander Yao, Lampros Flokas,Hongbin Zhong, Charlie Summers, Eugene Wu
ICDE 2024
PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation
Xianzhi Zeng*, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, Yuqiang Chen
SIGMOD 2024
Experience
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Microsoft Research May. 2025 - Aug. 2025, Redmond, Seattle, US closely worked with Adriana Szekeres, Suman Nath Focus: Architected the Beyond Screenshots WebAgent planner/memory stack, raising WebArena success to ~90%. |
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Georgia Institute of Technology Aug. 2024 - Present, Atlanta, US Advisor: Kexin Rong; Collaboration with VMware Systems Group Focus: Built RBAC-aware vector database partitioning (13.5x faster, 90% less memory) and joint batching for RAG pipelines. |
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InfiniFlow Apr. 2024 - Jun. 2024, Shanghai, China Vector Databases Contributor Focus: Reworked timestamp persistence and bulk-deletion cleanup to cut vector storage latency and I/O. |
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4Paradigm Feb. 2024 - Jun. 2024 Part-time Full-stack Engineer Intern Focus: Tuned AI assistant caching for lower latency and shipped async community features with scheduled refresh. |
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Columbia University Jul. 2023 - Dec. 2023, New York, US closely worked with Eugene Wu Focus: Optimized FADE sparse-matrix evaluation with SIMD/multithreading for near-linear 8x speedups. |
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Rutgers University Jun. 2023 - Sep. 2023 closely worked with Dong Deng Focus: Implemented similarity-search baselines and parallel group-function analytics pipelines. |
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Nanyang Technological University Jan. 2023 - Jul. 2023 Focus: Built low-latency disorder stream processing and Bayesian variational inference for complex event data. |
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Meituan Apr. 2022 - Sep. 2022, Beijing, China Backend Engineer Intern Focus: Delivered short-video backend features, Kafka/Hive recommendation pipelines, and periodic refresh for low-bandwidth users. |
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