World's Best Scientists 2026 revealed!

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Computer Science

D-Index
54
Citations
17787
World Ranking
4457
National Ranking
2084

Research.com Recognitions

  • 2020 - IEEE Fellow For leadership in human language technologies

Overview

Bowen Zhou is a researcher affiliated with IBM in the United States, specializing in the field of Computer Science with a focused expertise in Artificial Intelligence.

Their body of work spans a broad range of subfields and topics, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Civil and Structural Engineering
  • Radiology, Nuclear Medicine and Imaging

Zhou's research covers several main topics, such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Speech Recognition and Synthesis
  • Domain Adaptation and Few-Shot Learning
  • Visual Attention and Saliency Detection

They have contributed to numerous scholarly articles published predominantly in venues including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Antioxidants
  • IEEE Robotics and Automation Letters

A selection of Zhou's recent papers includes:

  • Trustworthy AI: From Principles to Practices, 2022, ACM Computing Surveys
  • On the Convergence and Robustness of Adversarial Training, 2021, arXiv (Cornell University)
  • Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SAM struggles in concealed scenes - empirical study on "Segment Anything", 2023, Science China Information Sciences
  • Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Zhou frequently collaborates with coauthors such as Xiaodong He, Youzheng Wu, Biqing Qi, Jianxing Liu, and Ligang Wu with multiple joint publications.

In recognition of contributions to human language technologies, Bowen Zhou was named an IEEE Fellow in 2020.

Best Publications

  • Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

    Ramesh Nallapati;Bowen Zhou;Cicero Nogueira dos santos;Caglar Gulcehre

  • A Structured Self-Attentive Sentence Embedding.

    Zhouhan Lin;Minwei Feng;Cicero Nogueira dos Santos;Mo Yu

  • SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

    Ramesh Nallapati;Feifei Zhai;Bowen Zhou

  • ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

    Wenpeng Yin;Hinrich Schütze;Bing Xiang;Bowen Zhou

  • Pointing the unknown words

    Caglar Gulcehre;Sungjin Ahn;Ramesh Nallapati;Bowen Zhou

  • Classifying Relations by Ranking with Convolutional Neural Networks

    Cicero dos Santos;Bing Xiang;Bowen Zhou

  • End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

    Chao Shang;Yun Tang;Jing Huang;Jinbo Bi

  • LSTM-based Deep Learning Models for Non-factoid Answer Selection

    Ming Tan;Cicero dos Santos;Bing Xiang;Bowen Zhou

  • Trustworthy AI: From Principles to Practices.

    Bo Li;Peng Qi;Bo Liu;Shuai Di

  • Attentive Pooling Networks

    Cícero Nogueira dos Santos;Ming Tan;Bing Xiang;Bowen Zhou

  • Applying deep learning to answer selection: A study and an open task

    Minwei Feng;Bing Xiang;Michael R. Glass;Lidan Wang

  • Improved Neural Relation Detection for Knowledge Base Question Answering

    Mo Yu;Wenpeng Yin;Kazi Saidul Hasan;Cícero Nogueira dos Santos

  • Improved Representation Learning for Question Answer Matching

    Ming Tan;Cícero Nogueira dos Santos;Bing Xiang;Bowen Zhou

  • R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.

    Shuohang Wang;Mo Yu;Xiaoxiao Guo;Zhiguo Wang

  • Diverse Few-Shot Text Classification with Multiple Metrics

    Mo Yu;Xiaoxiao Guo;Jinfeng Yi;Shiyu Chang

  • Sequence-to-Sequence RNNs for Text Summarization

    Ramesh Nallapati;Bing Xiang;Bowen Zhou

  • Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.

    Iulian Vlad Serban;Tim Klinger;Gerald Tesauro;Kartik Talamadupula

  • On the convergence and robustness of adversarial training

    Yisen Wang;Xingjun Ma;James Bailey;Jinfeng Yi

  • mCloud: A Context-Aware Offloading Framework for Heterogeneous Mobile Cloud

    Bowen Zhou;Amir Vahid Dastjerdi;Rodrigo N. Calheiros;Satish Narayana Srirama

  • Simple Question Answering by Attentive Convolutional Neural Network

    Wenpeng Yin;Mo Yu;Bing Xiang;Bowen Zhou

Frequent Co-Authors

Bing Xiang
Bing Xiang Amazon (United States)
Mo Yu
Mo Yu IBM (United States)
Xiaodong He
Xiaodong He Chinese Academy of Sciences
Ramesh Nallapati
Ramesh Nallapati Amazon (United States)
Gerald Tesauro
Gerald Tesauro IBM (United States)
Shiyu Chang
Shiyu Chang University of California, Santa Barbara
Liang Huang
Liang Huang Oregon State University
Yoshua Bengio
Yoshua Bengio University of Montreal
Ruhi Sarikaya
Ruhi Sarikaya Amazon (United States)
Caglar Gulcehre
Caglar Gulcehre DeepMind (United Kingdom)

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