Shaobo Min


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博士毕业于中国科学技术大学,主修多模态内容理解/CV领域的研究探索,师从张勇东教授;目前任职于腾讯TEG团队,主要工作内容为大语言模型/多模态大模型工作,独立完成腾讯混元跨模态大模型,作为核心技术成员参与大语言模型项目。

教育经历
09/2016-07/2021, 中国科学技术大学——网络空间安全——谢洪涛,张勇东
05/2020-02/2021, 微软亚洲研究院——戴琦,王井东
09/2012-09/2016, 西安电子科技大学——电子信息工程

联系方式
Email: mbobo2ml@gmail.com
Github: https://github.com/mboboGO


News

2021/10/26 1 paper accepted by NeurIPS 2020!
2020/09/26 1 paper accepted by NeurIPS 2020!
2020/05/12 1 paper accepted by TMM 2020!
2020/02/24 1 paper accepted by CVPR 2020!
2020/02/22 1 paper accepted by TIP 2020!
2019/09/30 1 paper accepted by ACMMM ASIA 2019 Best student paper
2019/07/02 1 paper accepted by ACMMM 2019 oral!
2019/05/03 1 paper accepted by ICIP 2019
2019/03/02 1 paper accepted by ICME 2019
2018/11/01 1 paper accepted by AAAI 2019 oral!

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CV


Publications

Hierarchical Granularity Transfer Learning

NeurIPS 2020   

Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning

CVPR 2020   

Multi-Objective Matrix Normalization for Fine-grained Visual Recognition

Transaction on Image Processing 2020   

A Mutually Attentive Co-training Framework for Semi-supervised Recognition

Transaction on Multimedia 2020   

Domain-Specific Embedding Network for Zero-Shot Recognition

ACMMM 2019 (Oral)   

A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels

AAAI 2019 (Oral)   

Accurate Segmentation of Synaptic Cleft with Contour Growing Concatenated with a Convnet

ICIP 2019   

Adaptive Bilinear Pooling for Fine-grained Representation Learning

Best student paper ACMMM ASIA 2019 (A new conference that puts together the long-lasting experience of former PCM (CCF C) and ICIMCS)   

Structure Generation and Guidance Network for Unsupervised Monocular Depth Estimation

ICME 2019