7811_lin-fullres-cropped-scaled640.jpg

Jimmy Lin

Natural Language Processing (NLP) Information Retrieval Knowledge Graphs Deep Natural Language Understanding Neural Network-based Enterprise AI
University of Waterloo Cheriton School of Computer Science

About

I'm a Professor and hold the David R. Cheriton Chair in the David R. Cheriton School of Computer Science at the University of Waterloo. Previously, I was at the University of Maryland. I completed my Ph.D. in Electrical Engineering and Computer Science at MIT in 2004. My research aims to build tools that help users make sense of large amounts of data. I work at the intersection of information retrieval, natural language processing, and data management. I'm passionate about translating research into real-world impact. Presently, I serve as the Chief Scientist of Primal, a Waterloo-based company focused on building enterprise-grade AI solutions that exploit the best of what neural networks and knowledge graphs have to offer. Previously, I was the Chief Scientist of RSVP, a Waterloo-based startup that builds deep natural language understanding technologies to facilitate seamless dialogues between users and systems. From 2010-2012, I spent an extended sabbatical at Twitter working on services designed to identify relevant content to users (search, recommendation, etc.) and analytics infrastructure to support data science (Hadoop tools, machine learning libraries, etc.). Follow me on Twitter (ops, I mean X!) here! I've also worked for Cloudera: In 2009, I was responsible for helping them build out a training and certification program; in fact, I wrote their very first certification exam! I'm a Fellow of the ACM, a member of the SIGIR Academy, and a Fellow of the ACL.

Research Performance Summary

794
Total Papers
45377
Total Citations
106
H-Index
1997-2026
Active Research Span

First Recorded Paper

Aranea: Mining Answers from the World Wide Web

Year: 1997

Citations: 1

Venue: Artificial Intelligence Laboratory, MiT, In Proceedings of the 5th RIAO

Latest Recorded Paper

Unifying Adversarial Robustness and Training Across Text Scoring Models

Year: 2026

Citations: 0

Venue: arXiv e-prints, arXiv: 2602.00857

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
8
2025
52
2024
40
2023
59
2022
54
2021
55
2020
56
2019
69
2018
29
2017
38
2016
34

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 401
Journal 34
Book 11

Top Coauthors

Lin Zhang

Research Impact by Period

2025-2026

Period Stats
Papers 60
Citations 1493
Avg. Citations / Paper 24.9
H-Index 13

2020-2024

Period Stats
Papers 264
Citations 13870
Avg. Citations / Paper 52.5
H-Index 56

2015-2019

Period Stats
Papers 192
Citations 11619
Avg. Citations / Paper 60.5
H-Index 45

2010-2014

Period Stats
Papers 105
Citations 7217
Avg. Citations / Paper 68.7
H-Index 38

2005-2009

Period Stats
Papers 111
Citations 7283
Avg. Citations / Paper 65.6
H-Index 35

2000-2004

Period Stats
Papers 58
Citations 3855
Avg. Citations / Paper 66.5
H-Index 27

1995-1999

Period Stats
Papers 4
Citations 40
Avg. Citations / Paper 10
H-Index 3

Contact and Professional Links

Contact Information

jimmylin@uwaterloo.ca

Detected Research Keywords

Zero Shot Listwise Open Domain Question Domain Question Answering Convolutional Neural Networks Real Time Search Statistical Machine Translation Retrieval Augmented Generation World Wide Web Computational Linguistics Metadata Linguistics Metadata Building