Tong Lu

PhD candidate

Beijing Normal University

About

I am a second year Ph.D. candidate in the School of Artificial Intelligence at Beijing Normal University, Beijing, China. I obtained a Bachelor of Science degree from Hebei GEO University and a Master of Engineering degree from Yunnan University. Now, I engage in research related to the field of natural language processing.

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Education

PhD candidate in Computer Science

2024-09

Beijing Normal University

M.E. in Computer Science

2021-09
2024-06

Yunnan University

B.E. in Computer Science

2017-09
2021-06

Hebei GEO University

Interests

Large Language Models Knowledge Graph Retrieval-Augmented Generation & Agent Bayesian Network Vector Indexing & Similarity Search Deep Learning

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

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Tong Lu, Zhichun Wang, Yaoyu Zhou, Yiming Guan, Zhiyong Bai, Junsheng Du (2026). SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio. In AAAI 2026 (CCF A).

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Zhiwei Qi, Tong Lu, Kun Yue, Liang Duan (2024). Similarity Search on Social Networks with Incremental Graph Indexing based on Probabilistic Inference. In IJWIS 2024.

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Tong Lu, Zhiwei Qi, Kun Yue, Liang Duan (2023). Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks. In EAI CollaborateCom 2023 (CCF C).

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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