Jianyang Gao


PhD Candidate
> College of Computing and Data Science, Nanyang Technological University (NTU)

Email: jianyang.gao [at] ntu.edu.sg
Address: Blk N4, 50 Nanyang Avenue, Singapore, 639798

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Biography

Jianyang is a fourth-year PhD candidate (thesis submitted) advised by Prof. Cheng Long at the College of Computing and Data Science, Nanyang Technological University. He received his bachelor's degree in Mathematics from Beijing Normal University in 2021.

Jianyang's general research interest lies in high-dimensional vector data management, particularly nearest neighbor search.

Publications (* marks co-first authors)

  1. Jianyang Gao, Yutong Gou, Yuexuan Xu, Yongyi Yang, Cheng Long, Raymond Chi-Wing Wong, "Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search", Preprint. [arXiv][Code]

  2. Yutong Gou*, Jianyang Gao*, Yuexuan Xu, Cheng Long, "SymphonyQG: towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search", Proceedings of ACM International Conference on Management of Data (SIGMOD) 2025. [arXiv][Code]

  3. Yuexuan Xu*, Jianyang Gao*, Yutong Gou, Cheng Long, Christian S Jensen, "iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search", Proceedings of ACM International Conference on Management of Data (SIGMOD) 2025. [arXiv][Code]

  4. Ziqi Yin, Jianyang Gao, Pasquale Balsebre, Cong Gao, Cheng Long, "DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph", Proceedings of ACM International Conference on Management of Data (SIGMOD) 2025.

  5. Jianyang Gao, Cheng Long, "RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search", Proceedings of ACM International Conference on Management of Data (SIGMOD) 2024. [arXiv][Proc.][Code]

  6. Jianyang Gao, Cheng Long, "High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations", Proceedings of ACM International Conference on Management of Data (SIGMOD) 2023. [arXiv][Proc.][Code]


Selected Awards

Invited Talks

Research Service

External Reviewer

(Last update: 20-Nov-2024)