World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
11837
World Ranking
7805
National Ranking
1026

Overview

Bo Xu is affiliated with the Chinese Academy of Sciences in China. The primary fields of study encompass Computer Science and Engineering, with a notable focus on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Signal Processing, and Computer Vision and Pattern Recognition.

The research topics associated with Bo Xu's work include Advanced Memory and Neural Computing, Neural dynamics and brain function, Speech Recognition and Synthesis, Speech and Audio Processing, Natural Language Processing Techniques, Music and Audio Processing, and Topic Modeling.

Bo Xu has contributed extensively to academic literature, with recent papers published in diverse scientific venues. Some of the recent papers include:

  • VLP: A Survey on Vision-language Pre-training (2023) in Machine Intelligence Research
  • Attention Spiking Neural Networks (2023) in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks (2021) in Science Advances
  • Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation (2021) in IEEE Transactions on Neural Networks and Learning Systems
  • Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation (2021) in Proceedings of the AAAI Conference on Artificial Intelligence

Bo Xu's frequent co-authors include:

  • Tielin Zhang
  • Shuncheng Jia
  • Dengpeng Xing
  • Shuang Xu
  • Guoqi Li

Publications by Bo Xu have appeared in various venues, with the most frequent being:

  • arXiv (Cornell University)
  • Machine Intelligence Research
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Applied Sciences
  • Neural Networks

Best Publications

  • Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

    Peng Zhou;Wei Shi;Jun Tian;Zhenyu Qi

  • Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

    Linhao Dong;Shuang Xu;Bo Xu

  • Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

    Suncong Zheng;Feng Wang;Hongyun Bao;Yuexing Hao

  • Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling

    Peng Zhou;Zhenyu Qi;Suncong Zheng;Jiaming Xu

  • Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification

    Peng Wang;Bo Xu;Jiaming Xu;Guanhua Tian

  • Joint entity and relation extraction based on a hybrid neural network

    Suncong Zheng;Yuexing Hao;Dongyuan Lu;Hongyun Bao

  • Self-Taught convolutional neural networks for short text clustering.

    Jiaming Xu;Bo Xu;Peng Wang;Suncong Zheng

  • Semantic Clustering and Convolutional Neural Network for Short Text Categorization

    Peng Wang;Jiaming Xu;Bo Xu;Chenglin Liu

  • Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

    Zhen Yang;Wei Chen;Feng Wang;Bo Xu

  • NRTR: A No-Recurrence Sequence-to-Sequence Model for Scene Text Recognition

    Fenfen Sheng;Zhineng Chen;Bo Xu

  • Short Text Clustering via Convolutional Neural Networks

    jiaming xu;peng wang;guanhua tian;bo xu

  • Unsupervised Neural Machine Translation with Weight Sharing

    Zhen Yang;Wei Chen;Feng Wang;Bo Xu

  • A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule.

    Yunzhe Hao;Xuhui Huang;Meng Dong;Bo Xu

  • Asynchronous stochastic gradient descent for DNN training

    Shanshan Zhang;Ce Zhang;Zhao You;Rong Zheng

  • CIF: Continuous Integrate-And-Fire for End-To-End Speech Recognition

    Unknown

  • Exploring wav2vec 2.0 on speaker verification and language identification

    Zhiyun Fan;Meng Li;Shiyu Zhou;Bo Xu

  • LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition.

    Xiang Cheng;Yunzhe Hao;Jiaming Xu;Bo Xu

  • Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese.

    Shiyu Zhou;Linhao Dong;Shuang Xu;Bo Xu

  • Self-attention Aligner: A Latency-control End-to-end Model for ASR Using Self-attention Network and Chunk-hopping

    Linhao Dong;Feng Wang;Bo Xu

  • Image character recognition using deep convolutional neural network learned from different languages

    Jinfeng Bai;Zhineng Chen;Bailan Feng;Bo Xu

  • Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech

    Peng Li;Yong Guan;Bo Xu;Wenju Liu

Frequent Co-Authors

Jun Zhao
Jun Zhao Chinese Academy of Sciences
Cheng-Lin Liu
Cheng-Lin Liu Chinese Academy of Sciences
Chengqing Zong
Chengqing Zong Chinese Academy of Sciences
Daniel Zeng
Daniel Zeng Chinese Academy of Sciences
Kaizhu Huang
Kaizhu Huang Duke Kunshan University
Irwin King
Irwin King Chinese University of Hong Kong
Peng Li
Peng Li University of California, Santa Barbara
Nima Mesgarani
Nima Mesgarani Columbia University
Liwei Wang
Liwei Wang Peking University
Xipeng Shen
Xipeng Shen North Carolina State University

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