Hua Xu
Hua Xu is a computer scientist at Tsinghua University whose AI work spans evolutionary optimization, multimodal language systems and natural human-machine interaction. He earned degrees from Xi'an Jiaotong University and Tsinghua University, then joined Tsinghua's Department of Computer Science and Technology in 2003. His team received the second-class National Science and Technology Progress Award in 2009 for a high-density plasma etching project. He coauthored a dialogue intent-discovery method in 2021, the M-SENA multimodal sentiment platform in 2022, a book on evolutionary optimization in 2024, and a 2025 method for multimodal intent reasoning with large language models. As of October 2026, he is a tenured associate professor at Tsinghua and Editor-in-Chief of Intelligent Systems with Applications.
- Now at
- Tsinghua University
- Badges
Timeline
-
1998–2003
Degrees in computing
He earns a bachelor's degree in computer science and technology from Xi'an Jiaotong University in 1998, a master's degree in computer application technology at Tsinghua University in 2000, and a Ph.D. in computer application technology at Tsinghua in 2003.
-
2003
Joining Tsinghua's CS department
He joins Tsinghua's Department of Computer Science and Technology in 2003.
-
2009
A national science award
His team receives the second-class National Science and Technology Progress Award in 2009 for research and industrialization of a 100 nm high-density plasma etching machine.
-
2021
Discovering new dialogue intents
In 2021, he coauthors Deep Aligned Clustering, a method that uses a few labeled known-intent examples to discover new intents in dialogue systems.
-
2022
M-SENA for sentiment analysis
In 2022, he coauthors M-SENA, an open-source platform for multimodal sentiment analysis with modular tools for video data management, feature extraction, model training and result analysis.
-
2024
Intelligent Evolutionary Optimization
With Yuan Yuan, he publishes Intelligent Evolutionary Optimization in 2024. The book presents biologically inspired algorithms for complex and combinatorial optimization, including problems with many objectives in high-dimensional spaces.
-
2025
LLM reasoning for multimodal intent
In 2025, he coauthors LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition. The method uses a large language model to extract semantic cues and model relations for multimodal intent and dialogue-act recognition.
-
As of October 2026
Tsinghua professor and journal editor
As of October 2026, he is a tenured associate professor in Tsinghua University's Department of Computer Science and Technology and Editor-in-Chief of Elsevier's Intelligent Systems with Applications. His research covers intelligent optimization, multimodal information processing, mobile robots and natural human-machine interaction.
Career
- Since 2003Tsinghua UniversityTenured Associate Professor
Education
- 2003Tsinghua UniversityPh.D. in computer application technology
- 2000Tsinghua UniversityMaster's degree in computer application technology
- 1998Xi'an Jiaotong UniversityBachelor's degree in computer science and technology
Sources and credits
Photo: We have no published photo of Hua Xu yet. Send us a free-licensed photo.
- Hua XU-Department of Computer Science and Technology, Tsinghua University
- Hua Xu
- Discovering New Intents with Deep Aligned Clustering | Proceedings of the AAAI Conference on Artificial Intelligence
- M-SENA: An Integrated Platform for Multimodal Sentiment Analysis - ACL Anthology
- Intelligent Evolutionary Optimization - 1st Edition | Elsevier Shop
- LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition - ACL Anthology

