About
I am a third-year Ph.D. student in the College of Computer Science and Technology at Zhejiang University, with an expected graduation in March 2026. My research interests include multi-modal data storage, retrieval, and their applications in large language models (LLMs). I am a recipient of the ByteDance Scholarship and was selected for the Youth Talents Support Project for Doctoral Students by the China Association for Science and Technology (CAST).
My current research focuses on the following topics:
- Graph-based vector indexing and retrieval algorithms
- Complex query processing in high-dimensional data
- Vector database and its applications in large language models
- Search system for RAG
News
- [2025.01] Our research work is accepted at SIGMOD 2025!
- [2024.12] I received the ByteDance Scholarship!
- [2024.05] I received the ACM SIGMOD Student Travel Award!
- [2024.05] Our demo work is accepted at VLDB 2024!
- [2023.11] Our research work is accepted at SIGMOD 2024!
- [2023.11] Our research work is accepted at ICDE 2024!
- [2023.09] Our research work is accepted at NeurIPS 2023!
Recent Publications
(2025).
Accelerating Graph Indexing for ANNS on Modern CPUs.
In SIGMOD 2025.
(2024).
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models.
In VLDB 2024 (Demo).
(2024).
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment.
In SIGMOD 2024.
(2024).
MUST: An Effective and Scalable Framework for Multimodal Search of Target Modality.
In ICDE 2024.
(2023).
An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint.
In NeurIPS 2023.
Invited Talks
- Large-Scale Vector Data Management Technology, Wuhan Dameng Database Co., Ltd., 2024.11.
- Graph-Based Vector Search: Index Layout and Search Optimizations on Disk, ByteDance, 2024.08.
- Vector Similarity Search: Disk-Based Graph Index Layout and Search Optimizations, Huawei (Data Storage Technology Planning Dept, Nanjing), 2024.08.
- Vector Databases: Index Layout and Search Optimizations on SSD, Baidu, 2024.06.
- High-Dimensional Vector Similarity Search, Huawei (Hangzhou Research Inst.), 2023.12.
- Approximate Nearest Neighbor Search with Attribute Constraint, Huawei (MRC, Germany), 2023.11.
- Research on Large-Scale High-Dimensional Vector Processing, Alibaba DAMO Academy, 2023.11.
- Graph-Based Multi-Vector Search and GPU Acceleration, Datawhale, 2023.03.
- Graph-Based Approximate Nearest Neighbor Search: An Experimental Study, Zilliz, 2021.09.
Awards
- ByteDance Scholarship (15/424, from Mainland China, Hong Kong SAR, and Singapore) (Official Link), Zhejiang University, 2024.
- The Youth Talents Support Project for Doctoral Students by the China Association for Science and Technology (CAST) (Official Link), Zhejiang University, 2024.
- National Scholarship of China, Zhejiang University, 2024.
- SIGMOD Student Travel Award, Zhejiang University, 2024.
- SIGMOD Student Programming Contest Finalist, Zhejiang University, 2024.
- Outstanding Master’s Thesis of Zhejiang Province, Hangzhou Dianzi University, 2023.
- Outstanding Graduate of Zhejiang Province, Hangzhou Dianzi University, 2022.
- National Scholarship of China, Hangzhou Dianzi University, 2021.
Experience
- 2025.04-Now: Intern, Recommendation System Architect, ByteDance
- 2022.09-Now: PhD candidate in College of Computer Science and Technology, Zhejiang University. Supervisor: Prof. Yunjun Gao(Homepage, Scholar)
- 2022.05-2022.08: Intern, Research Engineer in Research Department, Zilliz.
- 2021.09-2022.04: Intern, R&D Engineer in Big Data Intelligence Research Center, Zhejiang Lab.
- 2019.09-2022.03: M.E. in School of Computer Science and Technology, Hangzhou Dianzi University. Supervisor: Prof. Xiaoliang Xu(Homepage, Scholar)
- 2015.09-2019.06: B.E. in College of Materials Science and Engineering, Qingdao University of Science and Technology. Supervisor: Dr. Yingjie Chen(Homepage, Scholar)
Selected 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.
Contact
- wmzssy@zju.edu.cn/wmengzhao@qq.com
- 38 Zheda Road, Hangzhou, Xihu District 310027
- Add Me on Wechat by Scanning the QR Code
- Discuss on CSDN