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Manling Li

Representation Learning Deep Generative Models Structured Prediction Scientific Data Analysis
Northwestern University. Computer Science

About

Dr. Manling Li is an Assistant Professor of Computer Science at Northwestern University. Her research focuses on artificial intelligence and machine learning, particularly on developing methods that help machines effectively learn from complex, high-dimensional data. She works on problems such as representation learning, deep generative models, and structured prediction, with applications in areas like vision, language, and scientific data analysis. Her work bridges theoretical foundations and practical AI systems

Research Performance Summary

88
Total Papers
3624
Total Citations
33
H-Index
2014-2026
Active Research Span

First Recorded Paper

Openkn at tac kbp 2014

Year: 2014

Citations: 12

Venue: Text Analysis Conference

Latest Recorded Paper

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

Year: 2026

Citations: 0

Venue: arXiv preprint arXiv:2602.07055

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
2
2025
29
2024
13
2023
15
2022
9
2021
7
2020
5
2019
3
2018
2
2017
1
2016
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 41
Journal 1
Book 1

Top Coauthors

Wang Zhang

Research Impact by Period

2025-2026

Period Stats
Papers 31
Citations 700
Avg. Citations / Paper 22.6
H-Index 9

2020-2024

Period Stats
Papers 49
Citations 2589
Avg. Citations / Paper 52.8
H-Index 25

2015-2019

Period Stats
Papers 7
Citations 323
Avg. Citations / Paper 46.1
H-Index 5

2010-2014

Period Stats
Papers 1
Citations 12
Avg. Citations / Paper 12
H-Index 1

Contact and Professional Links

Contact Information

manling.li@northwestern.edu

Detected Research Keywords

Event Schema Induction Multimedia Event Extraction Natural Language Processing Event Centric Natural Centric Natural Language Openkn Tac Kbp Theory Agents Tool Agents Tool Use Tool Use Decision Use Decision Makers