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Muhao Chen
Language Understanding And Knowledge Acquisition (LUKA)
Natural Language Processing (NLP)
Minimally Supervised Data-Driven Machine Learning
Accountability And Security Of Large Language Models
Robust And Trustworthy Learning Systems
About
I direct the Language Understanding and Knowledge Acquisition (LUKA) Lab. My research focuses on robust and minimally supervised data-driven machine learning for natural language processing, as well as accountability and security problems with large language models. Our long-term goal is to develop robust, generalizable and trustworthy learning systems that help machines understand nature.
Research Performance Summary
2016-2026
Active Research Span
First Recorded Paper
Converting spatiotemporal data Among heterogeneous granularity systems
Year:
2016
Citations:
7
Venue:
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Latest Recorded Paper
FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
Year:
2026
Citations:
0
Venue:
ICLR
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Chen
Wang
Zhou
Research Impact by Period
Papers
53
Citations
681
Avg. Citations / Paper
12.8
H-Index
13
Papers
120
Citations
7314
Avg. Citations / Paper
61
H-Index
41
Papers
30
Citations
3138
Avg. Citations / Paper
104.6
H-Index
17
Contact and Professional Links
Detected Research Keywords
Multimodal Language Models
Vision Language Models
Knowledge Graph Embeddings
Cross Lingual Entity
Lingual Entity Alignment
Natural Language Processing
Multilingual Knowledge Graph
Modeling Temporal Knowledge
Temporal Knowledge Graphs
Embedding Entity Alignment