World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
8562
World Ranking
11928
National Ranking
1480

Best Publications

  • Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

    Bo Han;Quanming Yao;Xingrui Yu;Gang Niu

  • Lexical Normalisation of Short Text Messages: Makn Sens a #twitter

    Bo Han;Timothy Baldwin

  • Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

    Timothy Baldwin;Marie Catherine de Marneffe;Bo Han;Young-Bum Kim

  • Text-based twitter user geolocation prediction

    Bo Han;Paul Cook;Timothy Baldwin

  • Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

    Bo Han;Quanming Yao;Xingrui Yu;Gang Niu

  • Geolocation Prediction in Social Media Data by Finding Location Indicative Words

    Bo Han;Paul Cook;Timothy Baldwin

  • Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

    Timothy Baldwin;Marie-Catherine de Marneffe;Bo Han;Young-Bum Kim

  • Automatically Constructing a Normalisation Dictionary for Microblogs

    Bo Han;Paul Cook;Timothy Baldwin

  • Lexical normalization for social media text

    Bo Han;Paul Cook;Timothy Baldwin

  • Are Anchor Points Really Indispensable in Label-Noise Learning?

    Xiaobo Xia;Tongliang Liu;Nannan Wang;Bo Han

  • Masking: A New Perspective of Noisy Supervision

    Bo Han;Jiangchao Yao;Gang Niu;Mingyuan Zhou

  • How does Disagreement Help Generalization against Label Corruption

    Xingrui Yu;Bo Han;Jiangchao Yao;Gang Niu

  • Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning

    Yu Yao;Tongliang Liu;Bo Han;Mingming Gong

  • Robust early-learning: Hindering the memorization of noisy labels

    Xiaobo Xia;Tongliang Liu;Bo Han;Chen Gong

  • Are Anchor Points Really Indispensable in Label-Noise Learning?

    Xiaobo Xia;Tongliang Liu;Nannan Wang;Bo Han

  • A Survey of Label-noise Representation Learning: Past, Present and Future.

    Bo Han;Quanming Yao;Tongliang Liu;Gang Niu

  • Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning

    Yu Yao;Tongliang Liu;Bo Han;Mingming Gong

  • Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation

    Unknown

  • Attacks Which Do Not Kill Training Make Adversarial Learning Stronger

    Jingfeng Zhang;Xilie Xu;Bo Han;Gang Niu

  • Masking: A New Perspective of Noisy Supervision

    Bo Han;Jiangchao Yao;Gang Niu;Mingyuan Zhou

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