World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
13146
World Ranking
5522
National Ranking
2521

Overview

Daxin Jiang is affiliated with Microsoft in the United States and has an extensive publication record primarily in the field of Computer Science. Their research contributions encompass several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing, and General Health Professions.

The scientist's work covers a range of main topics such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Speech and Dialogue Systems
  • Speech Recognition and Synthesis
  • Advanced Text Analysis Techniques

Among Daxin Jiang's recent papers are:

  • "Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation" (2021), published on arXiv (Cornell University)
  • "CodeBERT: A Pre-Trained Model for Programming and Natural Languages" (2020), published on arXiv (Cornell University)
  • "Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "GraphCodeBERT: Pre-training Code Representations with Data Flow" (2020), published on arXiv (Cornell University)

Daxin Jiang frequently publishes in venues that include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

The scientist has collaborated extensively with several coauthors, including:

  • Linjun Shou
  • Nan Duan
  • Xiubo Geng
  • Chongyang Tao
  • Ming Gong

Best Publications

  • CodeBERT: A Pre-Trained Model for Programming and Natural Languages

    Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

  • Cluster analysis for gene expression data: a survey

    Daxin Jiang;Chun Tang;Aidong Zhang

  • Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training.

    Gen Li;Nan Duan;Yuejian Fang;Ming Gong

  • Context-aware query suggestion by mining click-through and session data

    Huanhuan Cao;Daxin Jiang;Jian Pei;Qi He

  • K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

    Ruize Wang;Duyu Tang;Nan Duan;zhongyu wei

  • GraphCodeBERT: Pre-training Code Representations with Data Flow

    Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

  • CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

    Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

  • On mining cross-graph quasi-cliques

    Jian Pei;Daxin Jiang;Aidong Zhang

  • XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation

    Yaobo Liang;Nan Duan;Yeyun Gong;Ning Wu

  • Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks

    Haoyang Huang;Yaobo Liang;Nan Duan;Ming Gong

  • Context-aware query classification

    Huanhuan Cao;Derek Hao Hu;Dou Shen;Daxin Jiang

  • DHC: a density-based hierarchical clustering method for time series gene expression data

    Daxin Jiang;Jian Pei;Aidong Zhang

  • Context-aware ranking in web search

    Biao Xiang;Daxin Jiang;Jian Pei;Xiaohui Sun

  • Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering

    Shangwen Lv;Daya Guo;Jingjing Xu;Duyu Tang

  • Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training

    Gen Li;Nan Duan;Yuejian Fang;Ming Gong

  • Web Query Recommendation via Sequential Query Prediction

    Qi He;Daxin Jiang;Zhen Liao;Steven C. H. Hoi

  • Towards context-aware search by learning a very large variable length hidden markov model from search logs

    Huanhuan Cao;Daxin Jiang;Jian Pei;Enhong Chen

  • NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion

    Chenfei Wu;Jian Liang;Lei Ji;Fan Yang

  • Mining frequent cross-graph quasi-cliques

    Daxin Jiang;Jian Pei

  • Mining coherent gene clusters from gene-sample-time microarray data

    Daxin Jiang;Jian Pei;Murali Ramanathan;Chun Tang

  • Joint Type Inference on Entities and Relations via Graph Convolutional Networks.

    Changzhi Sun;Yeyun Gong;Yuanbin Wu;Ming Gong

  • XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

    Yaobo Liang;Nan Duan;Yeyun Gong;Ning Wu

Frequent Co-Authors

Nan Duan
Nan Duan Microsoft Research Asia (China)
Jian Pei
Jian Pei Duke University
Duyu Tang
Duyu Tang Fudan University
Ming Zhou
Ming Zhou Langboat Technology
Hang Li
Hang Li ByteDance
Aidong Zhang
Aidong Zhang University of Virginia
Shujie Liu
Shujie Liu Microsoft Research Asia (China)
Enhong Chen
Enhong Chen University of Science and Technology of China
Guodong Long
Guodong Long University of Technology Sydney
Bing Qin
Bing Qin Harbin Institute of Technology

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