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D-Index & Metrics

Computer Science

D-Index
65
Citations
19765
World Ranking
2432
National Ranking
1218

Research.com Recognitions

  • 2019 - ACM Senior Member

Overview

Tao Qin is a researcher affiliated with Microsoft in the United States. Their work primarily revolves around computer science with a strong focus on artificial intelligence, signal processing, and computer vision. Tao Qin has contributed extensively to topics in natural language processing techniques, topic modeling, speech recognition and synthesis, and music and audio processing. Their research also covers computational drug discovery methods and domain adaptation and few-shot learning.

The scientist has published in a variety of well-known venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Briefings in Bioinformatics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • SSRN Electronic Journal

Tao Qin has collaborated regularly with several co-authors, including:

  • Tie-Yan Liu
  • Yingce Xia
  • Shufang Xie
  • Lijun Wu
  • Xu Tan

Some notable recent publications by Tao Qin are:

  • "BioGPT: generative pre-trained transformer for biomedical text generation and mining", 2022, Briefings in Bioinformatics
  • "FastSpeech 2: Fast and High-Quality End-to-End Text-to-Speech", 2024, arXiv (Cornell University)
  • "MPNet: Masked and Permuted Pre-training for Language Understanding", 2020, arXiv (Cornell University)
  • "Image-to-Image Translation: Methods and Applications", 2021, IEEE Transactions on Multimedia
  • "R-Drop: Regularized Dropout for Neural Networks", 2021, arXiv (Cornell University)

The main fields of study Tao Qin has contributed to include:

  • Computer Science

Within computer science, subfields of interest are:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Computational Theory and Mathematics

The topics frequently addressed in Tao Qin's research output include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Speech and Audio Processing
  • Computational Drug Discovery Methods
  • Domain Adaptation and Few-Shot Learning

In 2019, Tao Qin was recognized as an ACM Senior Member.

Best Publications

  • Learning to rank: from pairwise approach to listwise approach

    Zhe Cao;Tao Qin;Tie-Yan Liu;Ming-Feng Tsai

  • BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

    Unknown

  • Dual learning for machine translation

    Di He;Yingce Xia;Tao Qin;Liwei Wang

  • Generalizing to Unseen Domains: A Survey on Domain Generalization

    Jindong Wang;Cuiling Lan;Chang Liu;Yidong Ouyang

  • Achieving Human Parity on Automatic Chinese to English News Translation

    Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

  • LETOR: A benchmark collection for research on learning to rank for information retrieval

    Tao Qin;Tie-Yan Liu;Jun Xu;Hang Li

  • Neural Architecture Optimization

    Renqian Luo;Fei Tian;Tao Qin;Enhong Chen

  • LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval

    Tie-Yan Liu;Jun Xu;Tao Qin;Wenying Xiong

  • An Empirical Study on Learning to Rank of Tweets

    Yajuan Duan;Long Jiang;Tao Qin;Ming Zhou

  • Dual Learning for Machine Translation

    Yingce Xia;Di He;Tao Qin;Liwei Wang

  • Feature selection for ranking

    Xiubo Geng;Tie-Yan Liu;Tao Qin;Hang Li

  • Introducing LETOR 4.0 Datasets.

    Tao Qin;Tie-Yan Liu

  • Generalizing to Unseen Domains: A Survey on Domain Generalization.

    Jindong Wang;Cuiling Lan;Chang Liu;Yidong Ouyang

  • AdaRNN: Adaptive Learning and Forecasting of Time Series

    Yuntao Du;Jindong Wang;Wenjie Feng;Sinno Pan

  • FRank: a ranking method with fidelity loss

    Ming-Feng Tsai;Tie-Yan Liu;Tao Qin;Hsin-Hsi Chen

  • Question Answering and Question Generation as Dual Tasks

    Duyu Tang;Nan Duan;Tao Qin;Zhao Yan

  • Query dependent ranking using K-nearest neighbor

    Xiubo Geng;Tie-Yan Liu;Tao Qin;Andrew Arnold

  • Supervised rank aggregation

    Yu-Ting Liu;Tie-Yan Liu;Tao Qin;Zhi-Ming Ma

  • A general approximation framework for direct optimization of information retrieval measures

    Tao Qin;Tie-Yan Liu;Hang Li

  • Web image clustering by consistent utilization of visual features and surrounding texts

    Bin Gao;Tie-Yan Liu;Tao Qin;Xin Zheng

  • Deliberation Networks: Sequence Generation Beyond One-Pass Decoding

    Yingce Xia;Fei Tian;Lijun Wu;Jianxin Lin

Frequent Co-Authors

Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Hang Li
Hang Li ByteDance
Zhou Zhao
Zhou Zhao Zhejiang University
Enhong Chen
Enhong Chen University of Science and Technology of China
Daxin Jiang
Daxin Jiang Microsoft (United States)
Liwei Wang
Liwei Wang Peking University
Bo An
Bo An Nanyang Technological University
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Wengang Zhou
Wengang Zhou University of Science and Technology of China

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