Zitai Wang

Zitai Wang

PhD. student of Institute of Information Engineering (IIE), CAS

About Me

Hi! I’m Zitai Wang (王子泰, E-mail: wangzitai@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 ICT, CAS.), Xiaochun Cao (操晓春) (Professor at Sun Yat-sen University, Shenzhen Compus), Yuan He (何源) (Alibaba Group), Zhiyong Yang (杨智勇) (postdoc at UCAS), Ke Ma (马坷) (Assistant Professor at UCAS), and Yangbangyan Jiang (姜阳邦彦) (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, NeurIPS, and ACM Multimedia.

📝 Publications

Optimizing Partial Area Under the Top-k Curve: Theory and Practice

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI, IF: 23.6), 45(4): 5053–5069, Apr. 2023. | [Code]

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. Annual Conference on Neural Information Processing Systems (NeurIPS), 2023. (Spotlight)

OpenAUC: Towards AUC-Oriented Open-Set Recognition

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OpenAUC: Towards AUC-Oriented Open-Set Recognition. Annual Conference on Neural Information Processing Systems (NeurIPS), 25033–25045, 2022. (Spotlight, 5.4%) | [Code] | [Video] | [Poster] | [Slides]

Confederated Learning: Going Beyond Centralization

Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao and Qingming Huang. Confederated Learning: Going Beyond Centralization. ACM Conference on Multimedia (ACM MM), 2939–2947, 2022. (Oral, 9.4%) | [Code] | [Slides]

Implicit feedbacks are not always favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions

Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Implicit feedbacks are not always favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. ACM Conference on Multimedia (ACM MM), 3070–3078, 2021. | [Code] | [Poster] | [Slides]

Adversarial Preference Learning with Pairwise Comparisons

Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao and Qingming Huang. Adversarial Preference Learning with Pairwise Comparisons. ACM Conference on Multimedia (ACM MM), 656–664, 2019. (Oral, 5.6%) | [Code] | [Poster] | [Slides]

When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning

Yuchen Sun, Qianqian Xu, Zitai Wang, and Qingming Huang. When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. ACM Conference on Multimedia (ACM MM), 2023. | [Code]

📖 Academic Services

Journal

  • IEEE Transactions on Multimedia (IEEE T-MM): Reviewer
  • Pattern Recognition (PR): Reviewer
  • IEEE Transactions on Circuits and Systems for Video Technology (IEEE T-CSVT): Reviewer

Conference

  • AAAI: PC Member (2023, 2024)
  • ACM MM: PC Member (2023)

🎓 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.

School of Computer and Information Technology.

Beijing Jiaotong University (BJTU), Beijing.

💬 Invited Talks

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