High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations. - Jianyang Gao; Cheng Long 001 (Proc. ACM Manag. Data, 2023)

High-Dimensional Vector Quantization: General Framework, Recent Advances, and Future Directions. - Jianyang Gao; Yutong Gou; Yuexuan Xu; Jifan Shi; Cheng Long 001; Raymond Chi-Wing Wong; Themis Palpanas (IEEE Data Eng. Bull., 2024)

RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search. - Jianyang Gao; Cheng Long 001 (Proc. ACM Manag. Data, 2024)

iRangeGraph: Improvising Range-dedicated Graphs for Range-filtering Nearest Neighbor Search. - Yuexuan Xu; Jianyang Gao; Yutong Gou; Cheng Long 001; Christian S. Jensen (Proc. ACM Manag. Data, 2024)

SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search. - Yutong Gou; Jianyang Gao; Yuexuan Xu; Cheng Long 001 (Proc. ACM Manag. Data, 2025)

DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph. - Ziqi Yin; Jianyang Gao; Pasquale Balsebre; Gao Cong; Cheng Long 001 (Proc. ACM Manag. Data, 2025)

RaanA: A Fast, Flexible, and Data-Efficient Post-Training Quantization Algorithm. - Yongyi Yang; Jianyang Gao; Wei Hu (CoRR, 2025)

Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search. - Jianyang Gao; Yutong Gou; Yuexuan Xu; Yongyi Yang; Cheng Long 001; Raymond Chi-Wing Wong (Proc. ACM Manag. Data, 2025)