About

I’m currently a fourth year Ph.D. candidate in Computer Science and Engineering at the Tandon School of Engineering of New York University. My advisor is Prof. Torsten Suel. Prior that, I graduated from Sun Yat-sen University (Zhongshan University) in 2019 and completed my Master Program Majored in Computer Science and Engineering at NYU Tandon in 2021.

My primary research interests include Search Efficiency, Sparse Learned Index Optimization, and Efficient Nearest Neighbor Search.

You can reach me by jg6226@nyu.edu. Please feel free to contact me for any discussion or collaboration.

Attached please find my resume.

What’s New

[10.2024] Our paper Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes just got accepted in IEEE International Conference on Big Data (BigData 2024), see you in D.C!
[10.2024] Our paper Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits just got accepted in Advances in Neural Information Processing Systems (NeurIPS 2024), and is now on arXiv: https://arxiv.org/abs/2405.18680.
[07.2024] Had a lot of fun attending SIGIR2024 at Washington D.C. and presenting in the workshop session ReNeuIR! Learned a lot from so many experts in IR, valuable experience!
[06.2024] Our paper DeeperImpact: Optimizing Sparse Learned Index Structures is accepted in the workshop ReNeuIR at SIGIR 2024, and is now on arXiv: https://arxiv.org/abs/2405.17093. Create better learned sparse index with our strategy of optimizing document expansion and improving term importance prediction!

Department of Computer Science and Engineering, New York University: Ph.D, Computer Science, 2021-Present.
Department of Computer Science and Engineering, New York University: MS, Computer Science, 2019-2021.
Department of Computer Science, Sun Yat-sen University: BE, Computer Science, 2015-2019.

Jinrui Gou, Yifan Liu, Minghao Shao, and Torsten Suel, Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes, IEEE International Conference on Big Data, December 2024.
Soyuj Basnet, Jinrui Gou, Antonio Mallia, and Torsten Suel, DeeperImpact: Optimizing Sparse Learned Index Structures, in ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval, July 2024. Paper Link
Haya Diwan, Jinrui Gou, Cameron Musco, Christopher Musco, and Torsten Suel, Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits, NeurIPS 2024: Conference on Neural Information Processing Systems, December 2024. Paper Link
Lifan Mei, Jinrui Gou, Yujin Cai, Houwei Cao, and Yong Liu. Realtime mobile bandwidth and handoff predictions in 4G/5G networks. Computer Networks Journal, Februrary 2022. Paper Link
Lifan Mei, Jinrui Gou, Jingrui Yang, Yujin Cai, and Yong Liu, On Routing Optimization in Networks with Embedded Computational Services, IEEE Transactions on Network and Service Management, September 2024. Paper Link