About Me

Hi! I’m Shilong Bao(包世龙, E-mail: baoshilong@ucas.ac.cn). Now I am a Post-doc Fellow with the School of Computer Science and Technology, University of Chinese Academy of Sciences (UCAS). I got my Ph.D. degree in 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) (Dean of School of Cyber Science and Technology, Sun Yat-sen University), Yuan He (何源) (Alibaba Group), Ke Ma (马坷) (Tenure-track Assistant Professor at UCAS), Zhiyong Yang (杨智勇) (Tenure-track Assistant Professor 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

  • 2024.10.06:  🎉🎉 One papers have been accepted by NeurIPS 2024. Congrats to Boyu!
  • 2024.08.01:  🎉🎉 I am honored to be granted the Outstanding Doctoral Dissertation Award of Beijing Society of Image and Graphics (BSIG).

  • 2024.06.08:  🎉🎉 One paper has been accepted by T-PAMI 2024. 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, 2025)
  • AISTATS: PC Member (2025)
  • 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
  • ACM Transactions on Multimedia Computing, Communications and Applications (TOMM): Reviewer
  • Multimedia Systems: Reviewer

🎖 Honors and Awards

  • 2024 Outstanding Doctoral Dissertation Award of Beijing Society of Image and Graphics (BSIG). (北京图象图形学学会优秀博士学位论文奖 (京津冀5篇))
  • 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 - 2024.06, Ph.D. in Computer Applied Technology.

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].

  • 2022.11:   Oral presentation at NeurIPS conference [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!