About Me

Hi! I’m Shilong Bao(包世龙, E-mail: baoshilong@iie.ac.cn). Now I am a PhD. student of Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS), supervised by Prof. Qingming Huang (黄庆明) (IEEE Fellow). I am also lucky to have opportunities to collaborate with Qianqian Xu (许倩倩) (Professor at Institute of Computing Technology (ICT), CAS.), Xiaochun Cao (操晓春) (Professor at Sun Yat-sen University, Shenzhen Compus, China), Yuan He (何源) (Alibaba Group), Ke Ma (马坷) (Tenure-track Assistant Professor at UCAS), Zhiyong Yang (杨智勇) (postdoc at UCAS).

My research interest includes machine learning and data mining. I have authored or co-authored several academic papers in top-tier international conferences and journals, including T-PAMI, ICML, NeurIPS, and ACM Multimedia.

🔥 News

  • 2024.05.2:  🎉🎉 Three papers have been accepted by ICML 2024 (One is Spotlight). Congrats to all!
  • 2023.09.27:  🎉🎉 I am honored to be granted the Zhuliyuehua Scholarship for Excellent Doctoral Student, CAS.
  • 2023.08.04:  🎉🎉 Two papers have been accepted by T-PAMI 2023. Congrats to all!

📝 Publications

NeurIPS 2022 (Oral)
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The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm.

Shilong Bao, Qianqian Xu, Zhiyong Yang , Yuan He, Xiaochun Cao, Qingming Huang. Advances in Neural Information Processing Systems (NeurIPS), 2451-2464, 2022. (Oral, 1.7%) | [Code]| [Video] | [Poster] | [Slides]

ICML 2021 (Long Talk)
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When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. International Conference on Machine Learning (ICML), 11820–11829, 2021. (Long Talk, 3%) | [Code]| [Video] | [Poster] | [Slides]

ICML 2024 (Spotlight)
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Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection.

Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao and Qingming Huang. International Conference on Machine Learning (ICML), 2024. (Spotlight, 3.5%) | [Code]| [Video] | [Poster] | [Slides] | [Project]

📖 Services

Conferences

  • ICML: PC Member (2022, 2023, 2024)
  • ICLR: PC Member (2024)
  • NeurIPS: PC Member (2023, 2024)
  • AAAI: PC Member (2023, 2024, 2025)
  • CVPR: PC Member (2024)

Journals

  • IEEE Transactions on Multimedia (T-MM): Reviewer
  • IEEE Transactions on Circuits and Systems for Video Technology publication information (T-CSVT): Reviewer
  • Multimedia Systems: Reviewer

🎖 Honors and Awards

  • 2023 Zhuliyuehua Scholarship for Excellent Doctoral Student, CAS. (中国科学院朱李月华奖学金,中科院共300人)
  • 2022 National Scholarship, Ministry of Education of the People’s Republic of China. (国家奖学金)
  • 2021 Director Special Scholarship Award, IIE, CAS. (中科院信息工程研究所所长特别奖)

🎓 Educations

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2019.09 - now, Ph.D. Student.

Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS).

University of Chinese Academy of Sciences, Beijing.

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2015.09 - 2019.06, Undergraduate.

College of Computer Science and Technology.

Qingdao University (QDU), Qingdao.

💬 Invited Talks

  • 2023.02:   AI TIME Youth PhD Talk of NeurIPS2022. [Video].

💻 Project

XCurve
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2020.02 - now:   As a core member, I participated in the development of XCurve: Machine Learning with Decision-Invariant Metrics.

  • Machine learning and deep learning technologies have recently been successfully employed in many complicated high-stake decision-making applications. The goal of Xcurve learning is to learn high-quality models that can adapt to different decision conditions, which provides a systematic solution to optimize the area under different kinds of performance curves. Welcome to try now and give us feedback!