Lingkun Kong

Hey there, my name is Lingkun Kong. I am now a research scientist at Meta's reality lab. My work is to build machine learning infrastructure for AR/VR devices.

I obtained my Ph.D. in Computer Science in Aug 2023 at Rice University, advised by Konstantinos Mamouras. I was working on the design of programming language and the development of ASIC compiler. Before that, I also had experience in the design of network systems.

Blogs  /  GitHub  /  LinkedIn

Email	klk[at]rice[dot]edu
Address	100 Binney St, FL8, Cambridge, MA, 02142.

Rice University, USA, from Aug. 2018 to Aug. 2023.
Department of Computer Science
Ph.D. thesis: Language Support for Real-time Data Processing

Shanghai Jiao Tong University, China, from Sep. 2014 to Jun. 2018
B.Sc. Department of Computer Science & Zhiyuan College

Cornell University, USA, from Jun. 2017 to Aug. 2017
Visiting Student。 Computer Science Department

Z. Wen, L. Kong, A. Le Glaunec, K. Mamouras, K. Yang. "BVAP: Energy and Memory Efficient Automata Processing for Regular Expressions with Bounded Repetitions". ASPLOS, 2024. (coming soon)

Y. Huang, L. Kong, D. Chen, Z. Chen, X. Kong, J. Zhu, K. Mamouras, S. Wei, K. Yang, L. Liu. "CASA: An Energy-Efficient and High-Speed CAM-based SMEM Seeding Accelerator for Genome Alignment". MICRO, 2023. [link]

A. Le Glaunec, L. Kong, K. Mamouras. "Regular Expression Matching Using Bit Vector Automata". OOPSLA, 2023. [link]

L. Kong, Q. Yu, A. Chattopadhyay, A. Le Glaunec, Y. Huang, K. Mamouras, and K. Yang. "Software-Hardware Codesign for Efficient In-Memory Regular Pattern Matching". PLDI, 2022. [link] [talk] [code]

L. Kong, K. Mamouras. "StreamQL: A Query Language for Processing Streaming Time Series". OOPSLA, 2020. [link] [talk] [code]

L. Kong, K. Mamouras. "StreamQL: A Query Language for Efficient Data Stream Processing". OGHPC, 2020. [poster]

J. Huang, L. Kong, L. Kong, Z. Liu, Z. Liu and G. Chen. "Blockchain-based Crowd-sensing System". IEEE HotICN International Conference, 2018. [link] [code]

L. Fu, S. Ma, L. Kong, S. Shi, X. Wang, "FINE: A Framework for Distributed Learning on Incomplete Observations for Heterogeneous Crowdsensing Networks", in IEEE/ACM Transactions on Networking, Vo. 26, No. 3, pp. 1092-1109, June 2018. [link]

TA for COMP 682, Algorithms (Spring 2020), Rice University
TA for COMP 481/581, Automata, Formal Languages, and Computability (Fall 2019), Rice University
TA for COMP 411/511, Principles of Programming Languages (Spring 2019), Rice University
TA for CS 334, Computer Organization Lab (Spring 2016), Shanghai Jiao Tong University
TA for CS 499, Mathematical Foundations of Computer Science (Spring 2017), Shanghai Jiao Tong University

National Scholarship, Ministry of Education of China, 2015 and 2017

Scholarship of Outstanding Undergraduates, Shanghai Jiao Tong University, 2017

Zhiyuan Honorary Scholarship, Shanghai Jiao Tong University, 2015, 2016 and 2017

Junzheng Scholar, Shanghai Jiao Tong University, 2017

Merit Student of Shanghai Jiao Tong University, Shanghai Jiao Tong University, 2015

I used to be a table tennis athlete. In 2016, I helped my undergraduate university to win her first championship in Shanghai. Now, I am an amateur table tennis player with USATT rating around 2000. In 2022, I finished as the top 16 of men's singles in USA college table tennis national championships.

Playing basketball is also one of my hobbies.