Shuo YANG

Tenure- track Associate Professor of AI at SMBU

楊碩

深圳北理莫斯科大學(xué)工程系 預(yù)聘副教授

Dr. Shuo YANG received his Master's degree in computer science from the Institute of Software, Chinese Academy of Sciences in 2017, and his PhD degree in computer science from Beijing Institute of Technology in 2024.  He worked as an algorithm engineer at JD Finance from 2017 to 2018, focusing on face recognition algorithms. He visited Megvii Research Institute from 2018 to 2019, focusing on person Re-Identification algorithms. His research interests include computer vision, vision and language, and intelligent robots. He has published several papers in top-tier journals such as TIP and T-MM and top artificial intelligence conferences such as CVPR, AAAI, ACM MM, and IJCAI.

楊碩博士2024年于北京理工大學(xué)獲得計(jì)算機(jī)科學(xué)與技術(shù)專(zhuān)業(yè)工學(xué)博士學(xué)位，2017年于中國(guó)科學(xué)院軟件研究所獲得計(jì)算機(jī)科學(xué)與技術(shù)專(zhuān)業(yè)工學(xué)碩士學(xué)位。2017-2018在京東金融任職算法工程師，開(kāi)展人臉識(shí)別算法研究，2018-2019年在曠視研究院交流訪(fǎng)問(wèn)，從事行人重識(shí)別（person ReID）算法研究。他的研究興趣包括計(jì)算機(jī)視覺(jué)、視覺(jué)與語(yǔ)言、智能機(jī)器人等。他在國(guó)際知名刊物TIP， T-MM以及人工智能頂級(jí)會(huì)議CVPR、AAAI、ACM MM、IJCAI等上發(fā)表多篇論文。

Selected papers：

1. Shuo Yang, Xinxiao Wu, Zirui Shang, Jiebo Luo, Dynamic Pathway for Query-aware Feature Learning in Language-driven Action Localization, IEEE Transactions on Multimedia(T-MM), 2024.

2. Shuo Yang*, Yongqi Wang*, Xiaofeng Ji, Xinxiao Wu, Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection, AAAI Conference on Artificial Intelligence (AAAI), 2024.

3. Shuo Yang, Zirui Shang, Xinxiao Wu, Probability Distribution Based Frame-supervised Language-driven Action Localization, ACM International Conference on Multimedia (ACM MM), 2023.

4. Shuo Yang, Xinxiao Wu, Entity-aware and Motion-aware Transformers for Language-driven Action Localization, International Joint Conference on Artificial Intelligence(IJCAI), 2022.

5. Guan'an Wang*, Shuo Yang*, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Jian Sun, High-order information matters: Learning relation and topology for occluded person re-identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 6449-6458.