Comments

  • 2024-07: Prof. Phil Bernstein remarked in an email that our paper “Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment” presented at SIGMOD 2024 is very interesting.
  • 2024-07: Prof. Dixin Tang expressed interest in our work “Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment” and requested more details via email.
  • 2024-07: Prof. Jieming Shi showed interest in our work “Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment” and asked for more information via WeChat.
  • 2024-04: Prof. Yun Peng expressed interest in our work “Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment” and requested more details via WeChat.
  • 2024-01: Dr. abylay amanbayev expressed interest in our work “An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint” via email.
  • 2023-12: Prof. Sandeep Silwal expressed interest in our work “An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint” via email.
  • 2023-11: The Huawei Intelligent Cloud Storage Research Group (MRC, Germany) showed interest in our NHQ work and remarked that it is insightful. I was excited that they would like to integrate the NHQ framework into their vector database systems.
  • 2022-07: Prof. Patrick H. Chen commented in an email that our work “Two-stage Routing with Optimized Guided Search and Greedy Algorithm on Proximity Graph” is interesting.
  • 2022-04: Dr. Xi Zhao remarked in an email that our work “A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search” is interesting.
  • 2021-09: Prof. Jianguo Wang commented in an email that our work “A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search” is pretty nice.
  • 2021-07: Prof. Kejing Lu commented in an email that our work “A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search” is very interesting.
  • 2021-03: Prof. Wei Wang positively commented on our work “A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search” via email.