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
- 2023.09.27: 🎉🎉 I am honored to be granted the Zhuliyuehua Scholarship for Excellent Doctoral Student, CAS.
- 2023.08.04: 🎉🎉 Two paper has been accepted by T-PAMI 2023.
- 2022.11: 🎉🎉 I have obtained the National Scholarship (国家奖学金) from the Ministry of Education of the People’s Republic of China.
- 2022.09: 🎉🎉 Two of our papers have been accepted by NeurIPS 2022 (One paper has been selected as an oral presentation and one is a poster).
- 2022.06: 🎉🎉 Our XCurve-v1.0.0 library has been released! Please Try now and give us feedback!
📝 Publications
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]
![[Poster]](https://nips.cc/media/PosterPDFs/NeurIPS%202022/55412.png?t=1668477709.8846257){kind=link}
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]
![[Poster]](https://github.com/statusrank/A-Generic-Framework-for-Optimizing-Two-way-Partial-AUC/blob/main/TPAUC_poster.png){kind=link}
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Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations. Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. | [Code] |
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AUC-Oriented Domain Adaptation: From Theory to Algorithm. Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Xiaochun Cao and Qingming Huang. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. | [Code] |
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Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao and Qingming Huang. Advances in Neural Information Processing Systems (NeurIPS), 38667–38679, 2022. | [Code] |
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Optimizing Two-way Partial AUC with an End-to-end Framework. Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 10228-10246, 2022. | [Code] |
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AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He and Qingming Huang. International Conference on Machine Learning (ICML), 8903–8925, 2022. | [Code] |
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Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 1017–1035, 2022. |[Code]|
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Learning with Multiclass AUC: Theory and Algorithms. Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao and Qingming Huang. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 7747–7763, 2021. | [Code] |
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Collaborative Preference Embedding against Sparse Labels. Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao and Qingming Huang. ACM International Conference on Multimedia (ACM-MM), 2079–2087, 2019. | [Code]|
📖 Services
Conferences
- CVPR: PC Member (2024)
- ICLR: PC Member (2024)
- NeurIPS: PC Member (2023)
- AAAI: PC Member (2023, 2024)
- ICML: PC Member (2022)
Journals
- IEEE Transactions on Multimedia (T-MM): 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)
- 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
2019.09 - now, Ph.D. Student.
Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS).
University of Chinese Academy of Sciences, Beijing.
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
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!