2026 Minlie Huang: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	73	1614	1567	217	215	284	18599

Minlie Huang publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Minlie Huang sits on this spectrum.

32 publications 991+

This scientist: 284 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Minlie Huang D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Minlie Huang sits on this spectrum.

30 D-Index 131+

This scientist: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Minlie Huang is a researcher affiliated with Tsinghua University in China with extensive contributions in computer science, particularly focusing on artificial intelligence and natural language processing.

The main field of study for Huang is Computer Science, with a substantial emphasis on subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Social Psychology, and Human-Computer Interaction.

Their research spans a variety of topics such as:

Topic Modeling
Natural Language Processing Techniques
Speech and dialogue systems
Multimodal Machine Learning Applications
Adversarial Robustness in Machine Learning
Speech Recognition and Synthesis
AI in Service Interactions

Noteworthy publications by Minlie Huang include:

"Challenges in Building Intelligent Open-domain Dialog Systems", 2020, ACM Transactions on Information Systems
"Pre-trained models: Past, present and future", 2021, AI Open (authored by Xu Han but within the associated research context)
"A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation", 2020, Transactions of the Association for Computational Linguistics
"ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools", 2024, arXiv (Cornell University)
"A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data", 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaboration partners for Huang include:

Pei Ke
Xiaoyan Zhu
Zhexin Zhang
Hongning Wang
Chujie Zheng

Their work has been presented in multiple publication venues repeatedly, such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE/ACM Transactions on Audio Speech and Language Processing
Transactions of the Association for Computational Linguistics
AI Open

Minlie Huang's scholarly output reflects a concentrated focus on advancing artificial intelligence through natural language processing and dialogue systems, contributing to both foundational and applied research areas within the field.

Best Publications

Attention-based LSTM for Aspect-level Sentiment Classification

Yequan Wang;Minlie Huang;xiaoyan zhu;Li Zhao

2423
Citations
Pre-Trained Models: Past, Present and Future

Xu Han;Zhengyan Zhang;Ning Ding;Yuxian Gu

926
Citations
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

Hao Zhou;Minlie Huang;Tianyang Zhang;Xiaoyan Zhu

794
Citations
Commonsense Knowledge Aware Conversation Generation with Graph Attention

Hao Zhou;Tom Young;Minlie Huang;Haizhou Zhao

481
Citations
Learning to identify review spam

Fangtao Li;Minlie Huang;Yi Yang;Xiaoyan Zhu

476
Citations
TransG : A Generative Model for Knowledge Graph Embedding

Han Xiao;Minlie Huang;Xiaoyan Zhu

419
Citations
Structure-Aware Review Mining and Summarization

Fangtao Li;Chao Han;Minlie Huang;Xiaoyan Zhu

390
Citations
Reinforcement Learning for Relation Classification From Noisy Data

Jun Feng;Minlie Huang;Li Zhao;Yang Yang

351
Citations
Discovering patterns to extract protein--protein interactions from full texts

Minlie Huang;Xiaoyan Zhu;Yu Hao;Donald G. Payan

327
Citations
Challenges in Building Intelligent Open-domain Dialog Systems

Minlie Huang;Xiaoyan Zhu;Jianfeng Gao

315
Citations
Augmenting end-to-end dialogue systems with commonsense knowledge

Tom Young;Erik Cambria;Iti Chaturvedi;Hao Zhou

293
Citations
Sentiment analysis with global topics and local dependency

Fangtao Li;Minlie Huang;Xiaoyan Zhu

290
Citations
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

Jian Guan;Fei Huang;Zhihao Zhao;Xiaoyan Zhu

250
Citations
PPT: Pre-trained Prompt Tuning for Few-shot Learning

Yuxian Gu;Xu Han;Zhiyuan Liu;Minlie Huang

233
Citations
A Hierarchical Framework for Relation Extraction with Reinforcement Learning

Ryuichi Takanobu;Tianyang Zhang;Jiexi Liu;Minlie Huang

207
Citations
Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation

Qiao Qian;Minlie Huang;Haizhou Zhao;Jingfang Xu

191
Citations
Learning to Link Entities with Knowledge Base

Zhicheng Zheng;Fangtao Li;Minlie Huang;Xiaoyan Zhu

186
Citations
Densely Connected CNN with Multi-scale Feature Attention for Text Classification

Shiyao Wang;Minlie Huang;Zhidong Deng

183
Citations
The gene normalization task in BioCreative III

Zhiyong Lu;Hung-Yu Kao;Chih-Hsuan Wei;Minlie Huang

179
Citations
Recommending MeSH terms for annotating biomedical articles.

Minlie Huang;Aurélie Névéol;Zhiyong Lu

177
Citations
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions.

Han Xiao;Minlie Huang;Lian Meng;Xiaoyan Zhu

143
Citations
Towards Emotional Support Dialog Systems

Siyang Liu;Chujie Zheng;Orianna Demasi;Sahand Sabour

118
Citations
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Kaidi Xu;Zhouxing Shi;Huan Zhang;Yihan Wang

86
Citations

Frequent Co-Authors

Xiaoyan Zhu Tsinghua University

Hao Zhou Tsinghua University

Jianfeng Gao Microsoft (United States)

Baolin Peng Microsoft (United States)

Jie Tang Tsinghua University

Cho-Jui Hsieh University of California, Los Angeles

Tat-Seng Chua National University of Singapore

Huan Zhang University of California, Los Angeles

Kai-Wei Chang University of California, Los Angeles

Boi Faltings École Polytechnique Fédérale de Lausanne

External Links

Personal website of Minlie Huang Google Scholar page

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