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Computer Science

D-Index
74
Citations
45827
World Ranking
1445
National Ranking
195

Overview

Xiaodong He is a researcher affiliated with the Chinese Academy of Sciences in China. Their primary field of study is computer science, with a focus on artificial intelligence and its related subfields.

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

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Graph Neural Networks
  • Speech and Dialogue Systems
  • Advanced Text Analysis Techniques
  • Speech Recognition and Synthesis

Their publication record consists of 198 works, predominantly in computer science, with significant contributions to artificial intelligence (131 publications) and computer vision and pattern recognition (45 publications). Additional subfields include information systems, signal processing, and computer graphics and computer-aided design.

Xiaodong He has published articles in several key academic venues, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • IEEE Journal of Selected Topics in Signal Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing

Some notable recent papers include:

  • "Rule Learning over Knowledge Graphs: A Review", 2023, published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Multimodal Intelligence: Representation Learning, Information Fusion, and Applications", 2020, IEEE Journal of Selected Topics in Signal Processing
  • "Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Keywords-Guided Abstractive Sentence Summarization", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products", 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Xiaodong He has collaborated frequently with several co-authors, including:

  • Youzheng Wu
  • Bowen Zhou
  • Qi Wu
  • Peng Wang
  • Xin Wang

Best Publications

  • Hierarchical Attention Networks for Document Classification

    Zichao Yang;Diyi Yang;Chris Dyer;Xiaodong He

  • Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

    Peter Anderson;Xiaodong He;Chris Buehler;Damien Teney

  • 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

  • AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

    Tao Xu;Pengchuan Zhang;Qiuyuan Huang;Han Zhang

  • From captions to visual concepts and back

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

  • Stacked Cross Attention for Image-Text Matching

    Kuang-Huei Lee;Xi Chen;Gang Hua;Houdong Hu

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

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • Learning semantic representations using convolutional neural networks for web search

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval

    Yelong Shen;Xiaodong He;Jianfeng Gao;Li Deng

  • Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

    Wen-tau Yih;Ming-Wei Chang;Xiaodong He;Jianfeng Gao

  • A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems

    Ali Mamdouh Elkahky;Yang Song;Xiaodong He

  • From Eliza to XiaoIce: challenges and opportunities with social chatbots

    Heung-yeung Shum;Xiao-dong He;Di Li

  • Using recurrent neural networks for slot filling in spoken language understanding

    Grégoire Mesnil;Yann Dauphin;Kaisheng Yao;Yoshua Bengio

  • A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

    Nasrin Mostafazadeh;Nathanael Chambers;Xiaodong He;Devi Parikh

  • Domain Adaptation via Pseudo In-Domain Data Selection

    Amittai Axelrod;Xiaodong He;Jianfeng Gao

  • Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding.

    Grégoire Mesnil;Xiaodong He;Li Deng;Yoshua Bengio

  • Deep Learning with Low Precision by Half-Wave Gaussian Quantization

    Zhaowei Cai;Xiaodong He;Jian Sun;Nuno Vasconcelos

Frequent Co-Authors

Yibin Li
Yibin Li Harbin Institute of Technology
Rongguo Wang
Rongguo Wang Harbin Institute of Technology
Chao Wang
Chao Wang Soochow University
Shanyi Du
Shanyi Du Harbin Institute of Technology
Bowen Zhou
Bowen Zhou IBM (United States)
Anyuan Cao
Anyuan Cao Peking University
Liyong Tong
Liyong Tong University of Sydney
Jiecai Han
Jiecai Han Harbin Institute of Technology
Lin Ye
Lin Ye Southern University of Science and Technology
Sam Zhang
Sam Zhang Nanyang Technological University

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