World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
110
Citations
62277
World Ranking
223
National Ranking
125

Research.com Recognitions

  • 2020 - ACM Distinguished Member
  • 2019 - IEEE Fellow For contributions to machine learning for Web search and natural language processing
  • 2009 - ACM Senior Member

Overview

Jianfeng Gao is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, particularly in computer vision and artificial intelligence. Their research spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, control and systems engineering, radiology, nuclear medicine and imaging, and surgery.

The scientist's work covers several main topics, such as multimodal machine learning applications, domain adaptation and few-shot learning, topic modeling, advanced image and video retrieval techniques, advanced neural network applications, human pose and action recognition, and natural language processing techniques.

Jianfeng Gao has published research in highly regarded venues, with a significant number of papers appearing on arXiv (Cornell University), where they have 80 publications. Other frequent publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Robotics & Automation Magazine, and the 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

The scientist has collaborated with numerous co-authors, including Chunyuan Li, Jianwei Yang, Pengchuan Zhang, and Lijuan Wang, contributing to a range of multi-author projects and advancing multiple areas of machine learning and computer vision.

Selected recent papers by Jianfeng Gao include:

  • "Unified Vision-Language Pre-Training for Image Captioning and VQA," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "RegionCLIP: Region-based Language-Image Pretraining," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Florence: A New Foundation Model for Computer Vision," 2021, arXiv (Cornell University)
  • "Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Focal Self-attention for Local-Global Interactions in Vision Transformers," 2021, arXiv (Cornell University)

Best Publications

  • Embedding Entities and Relations for Learning and Inference in Knowledge Bases

    Bishan Yang;Wen-tau Yih;Xiaodong He;Jianfeng Gao

  • Stacked Attention Networks for Image Question Answering

    Zichao Yang;Xiaodong He;Jianfeng Gao;Li Deng

  • Learning deep structured semantic models for web search using clickthrough data

    Po-Sen Huang;Xiaodong He;Jianfeng Gao;Li Deng

  • MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

    Yandong Guo;Lei Zhang;Yuxiao Hu;Xiaodong He

  • A Diversity-Promoting Objective Function for Neural Conversation Models

    Jiwei Li;Michel Galley;Chris Brockett;Jianfeng Gao

  • Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

    Yu Gu;Robert Tinn;Hao Cheng;Michael Lucas

  • Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks

    Xiujun Li;Xi Yin;Chunyuan Li;Pengchuan Zhang

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION

    Pengcheng He;Xiaodong Liu;Jianfeng Gao;Weizhu Chen

  • Deep Reinforcement Learning for Dialogue Generation

    Jiwei Li;Will Monroe;Alan Ritter;Dan Jurafsky

  • Unified Language Model Pre-training for Natural Language Understanding and Generation

    Li Dong;Nan Yang;Wenhui Wang;Furu Wei

  • Multi-Task Deep Neural Networks for Natural Language Understanding

    Xiaodong Liu;Pengcheng He;Weizhu Chen;Jianfeng Gao

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

    Payal Bajaj;Daniel Campos;Nick Craswell;Li Deng

  • DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

    Yizhe Zhang;Siqi Sun;Michel Galley;Yen-Chun Chen

  • On the Variance of the Adaptive Learning Rate and Beyond

    Liyuan Liu;Haoming Jiang;Pengcheng He;Weizhu Chen

  • A Persona-Based Neural Conversation Model

    Jiwei Li;Michel Galley;Chris Brockett;Georgios P. Spithourakis

  • Deep sentence embedding using long short-term memory networks: analysis and application to information retrieval

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

    Alessandro Sordoni;Michel Galley;Michael Auli;Chris Brockett

  • Unified Vision-Language Pre-Training for Image Captioning and VQA

    Luowei Zhou;Hamid Palangi;Lei Zhang;Houdong Hu

  • MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

    Tri Nguyen;Mir Rosenberg;Xia Song;Jianfeng Gao

  • PIQA: Reasoning about Physical Commonsense in Natural Language

    Yonatan Bisk;Rowan Zellers;Ronan Le bras;Jianfeng Gao

Frequent Co-Authors

Li Deng
Li Deng Citadel
Michel Galley
Michel Galley Microsoft (United States)
Chris Brockett
Chris Brockett Microsoft (United States)
Lihong Li
Lihong Li Amazon (United States)
Asli Celikyilmaz
Asli Celikyilmaz Facebook (United States)
Jian-Yun Nie
Jian-Yun Nie University of Montreal
Zhe Gan
Zhe Gan Microsoft (United States)
Ming Zhou
Ming Zhou Langboat Technology
Yun-Nung Chen
Yun-Nung Chen National Taiwan University

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

As technology continues to shape industries, pursuing an online degree in Computer Science or related fields offers flexibility and a wide range of career opportunities. Today, many students look for programs from the most respected online university to ensure their qualifications are valued by employers.

For those interested in creative technology, the best online game design degree programs can lead to roles in the booming gaming industry. Students with a passion for cybersecurity can advance their knowledge and boost their job prospects by enrolling in a cybersecurity masters online.

Beyond traditional computer science roles, emerging fields such as construction management increasingly value tech-savvy professionals. Those considering this path can research the online construction management degree cost to find programs that fit their budget and career goals.

Exploring these related degrees widens your expertise and enhances future employability in diverse, tech-driven careers.

Best Scientists Citing Jianfeng Gao

Trending Scientists

Recently Published Articles