I am currently a visiting scholar at the University of Pennsylvania, supervised by Prof. Ryan Marcus and Prof. Zachary Ives. 

I'm looking for a postdoc position starting from 2025 Spring. Please drop me an email if you think I would be a good fit for your team. Thanks!

I am currently a 3rd year Ph.D. candidate in the Department of Computer Science and Engineering (CSE), at the Hong Kong University of Science and Technology (HKUST), supervised by Prof. Xiaofang Zhou. My research interests include the vector database (eg., approximate nearest neighbor search, hybrid search, multimodal search) and machine learning for databases (eg., learned index, learned filter, learned optimizer).

Prior to HKUST, I earned my Master's and Bachelor's degrees in Mathematics at the School of Mathematical Science from Zhejiang University (ZJU) in 2020, and from Sichuan University (SCU) in 2017. 

1. Yao Tian, Tingyun Yan, Ruiyuan Zhang, Kai Huang, Bolong Zheng, Xiaofang Zhou, "A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams", SIGMOD 2024.

2. Yao Tian, Xi Zhao, Xiaofang Zhou, "DB-LSH 2.0: Locality-Sensitive Hashing with Query-based Dynamic Bucketing", TKDE 2023. [link]

3. Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou, "A Learned Index for Exact Similarity Search in Metric Spaces", TKDE 2022. [link]

4. Yao Tian, Xi Zhao, Xiaofang Zhou, "DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing", ICDE 2022.  [link]

5. YaoTian, Ziyang Yue, Ruiyuan Zhang, Xi Zhao, Bolong Zheng, Xiaofang Zhou, "Approximate Nearest Neighbor Search in High Dimensional Vector Databases: Current Research and Future Directions", IEEE Data Eng. Bull. 2023. [link]

6. Xi Zhao, Yao Tian, Kai Huang, Bolong Zheng, Xiaofang Zhou, "Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces", VLDB 2023. [link]

7. Kai Huang, Houdong Liang, Chongchong Yao, Xi Zhao, Yue Cui, Yao Tian, Ruiyuan Zhang, Xiaofang Zhou, "VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines", VLDB 2023 Demo. [link]

8. Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou, "TED+:Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database", TKDE 2023. [link]

9. Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou, "FRESH: Towards Efficient Graph Queries in an Outsourced Graph", ICDE 2024.

Teaching Assistant

1. C Programming Bridging Course, HKUST, Fall 2023  

2. Java Programming Bridging Course, HKUST, Spring 2023

3. Spatial and Multimedia Databases, HKUST, Spring 2023

4.  Database Management Systems, HKUST, Spring 2022

5.  Honors Object-Oriented Programming and Data Structures, HKUST, Fall 2021

6.  Probability and Statistics, ZJU, Fall 2018

7.  Calculus, ZJU, Spring 2018

8.  Linear Algebra, ZJU, Fall 2017

Research Intern

1.  Alibaba DAMO Academy,  Winter 2020

• Conduct research on neural ordinary differential equations at the Decision Intelligence Lab, advised by Dr. Qingsong Wen.

1. National Scholarship (The highest honor for students in China), 2019

2. The 1st Prize in National College Students Mathematical Competition (Professional Group), 2016

3. The 32nd Hangzhou Marathon, 2018

4. Outstanding Grautated Student, ZJU (2020) & SCU (2017)

5. Outstanding Student Leader, ZJU (2018) & SCU (2014)

6. Outstanding Student, ZJU (2018) & SCU (2015)