World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
14728
World Ranking
4244
National Ranking
566

Overview

Xiaoyan Zhu is affiliated with Tsinghua University in China and has contributed extensively to the fields of Computer Science and Engineering, with a focus on Artificial Intelligence, Safety, Risk, Reliability and Quality, Software, Computer Vision and Pattern Recognition, and Statistics and Probability.

The scientist's research encompasses a diverse range of topics including:

  • Reliability and Maintenance Optimization
  • Software Reliability and Analysis Research
  • Topic Modeling
  • Natural Language Processing Techniques
  • Statistical Distribution Estimation and Applications
  • Advanced Battery Technologies Research
  • Speech and dialogue systems

Recent notable publications include:

  • CPM: A large-scale generative Chinese Pre-trained language model (2021, AI Open)
  • Joint optimization of condition-based maintenance and inventory control for a k-out-of-n:F system of multi-state degrading components (2020, European Journal of Operational Research)
  • On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark (2022, Findings of the Association for Computational Linguistics: ACL 2022)
  • A Joint Long Short-Term Memory and AdaBoost regression approach with application to remaining useful life estimation (2020, Measurement)
  • Dynamic maintenance policy for systems with repairable components subject to mutually dependent competing failure processes (2020, Computers & Industrial Engineering)

Frequent co-authors collaborating with Xiaoyan Zhu include:

  • Pei Ke
  • Hao Zhou
  • Minlie Huang
  • Ping Zhang

Xiaoyan Zhu has published multiple papers in prominent venues such as:

  • Reliability Engineering & System Safety
  • European Journal of Operational Research
  • arXiv (Cornell University)
  • Computers & Industrial Engineering
  • Transportation Research Part E Logistics and Transportation Review

The body of work demonstrates a consistent engagement with maintenance optimization and reliability issues in engineering systems alongside contributions to software reliability and natural language processing, particularly focused on Chinese language models and safety in conversational AI systems.

Best Publications

  • Attention-based LSTM for Aspect-level Sentiment Classification

    Yequan Wang;Minlie Huang;xiaoyan zhu;Li Zhao

  • Movie review mining and summarization

    Li Zhuang;Feng Jing;Xiao-Yan Zhu

  • Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

    Hao Zhou;Minlie Huang;Tianyang Zhang;Xiaoyan Zhu

  • Commonsense Knowledge Aware Conversation Generation with Graph Attention

    Hao Zhou;Tom Young;Minlie Huang;Haizhou Zhao

  • Learning to identify review spam

    Fangtao Li;Minlie Huang;Yi Yang;Xiaoyan Zhu

  • TransG : A Generative Model for Knowledge Graph Embedding

    Han Xiao;Minlie Huang;Xiaoyan Zhu

  • Structure-Aware Review Mining and Summarization

    Fangtao Li;Chao Han;Minlie Huang;Xiaoyan Zhu

  • Reinforcement Learning for Relation Classification From Noisy Data

    Jun Feng;Minlie Huang;Li Zhao;Yang Yang

  • Discovering patterns to extract protein--protein interactions from full texts

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

  • Challenges in Building Intelligent Open-domain Dialog Systems

    Minlie Huang;Xiaoyan Zhu;Jianfeng Gao

  • Sentiment analysis with global topics and local dependency

    Fangtao Li;Minlie Huang;Xiaoyan Zhu

  • A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

    Jian Guan;Fei Huang;Zhihao Zhao;Xiaoyan Zhu

  • Building Disease-Specific Drug-Protein Connectivity Maps from Molecular Interaction Networks and PubMed Abstracts

    Jiao Li;Xiaoyan Zhu;Jake Yue Chen;Jake Yue Chen

  • Sentiment Analysis by Capsules

    Yequan Wang;Aixin Sun;Jialong Han;Ying Liu

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

    Qiao Qian;Minlie Huang;Haizhou Zhao;Jingfang Xu

  • Cross-Domain Co-Extraction of Sentiment and Topic Lexicons

    Fangtao Li;Sinno Jialin Pan;Ou Jin;Qiang Yang

  • Learning to Link Entities with Knowledge Base

    Zhicheng Zheng;Fangtao Li;Minlie Huang;Xiaoyan Zhu

  • Contextual Combinatorial Bandit and its Application on Diversified Online Recommendation.

    Lijing Qin;Shouyuan Chen;Xiaoyan Zhu

  • Recent Advances and Challenges in Task-oriented Dialog System

    Zheng Zhang;Ryuichi Takanobu;Minlie Huang;Xiaoyan Zhu

  • Linguistically Regularized LSTM for Sentiment Classification.

    Qiao Qian;Minlie Huang;Jinhao Lei;Xiaoyan Zhu

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

    Han Xiao;Minlie Huang;Lian Meng;Xiaoyan Zhu

Frequent Co-Authors

Minlie Huang
Minlie Huang Tsinghua University
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Jie Zhang
Jie Zhang Nanyang Technological University
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Bin Ma
Bin Ma University of Waterloo
Hang Li
Hang Li ByteDance
Aixin Sun
Aixin Sun Nanyang Technological University
Bing Liu
Bing Liu University of Illinois at Chicago
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science education in the USA? There are several flexible pathways to advance your skills and career. Many students start with an associate degree online, which offers a cost-effective and accelerated introduction to key IT concepts. This option can help you enter the workforce faster or serve as a stepping stone toward bachelor's and master's degrees.

If you’re looking to specialize further, pursuing quick masters degrees online can deepen your expertise in less time than traditional on-campus programs. Many of the most valuable masters degrees are now available in a fully online format, letting you balance work, study, and personal commitments while enhancing your career prospects.

Affordability is often a key concern. Thankfully, there are affordable online degree programs that maintain high academic standards without breaking the bank. Whether you’re seeking foundational knowledge or advanced skills, online computer science degrees offer accessible and versatile routes toward in-demand tech careers.

Best Scientists Citing Xiaoyan Zhu

Trending Scientists