Libo Zhang (张立博)

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I'm Libo Zhang (张立博), a Ph.D student at the Liu AI Lab in The University of Auckland. I received a degree of Master of Professional Studies with First Class Honours in Data Science, the Graduate Diploma in Science from the University of Auckland in 2021, and the Bachelor degree from the Southwest University in 2020.

Something Other Than Research

• Drinking coffee
• Guitar
• Taking a walk at midnight

Research Interest

• Trustworthy Artificial Intelligence
• Reinforcement Learning
• Multi-agent System

Affiliation

• 2022-present Ph.D in Computer Science. The University of Auckland.
• 2020-2021 Master of Professional Studies in Data Science. The University of Auckland.

Papers

• Libo Zhang, Yuly Wu, Weidong Li, Song Yang, Yang Chen, Kaiqi Zhao, and Jiamou Liu.
  Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids.
  To appear in Proc. PKAW 2024.
• Qianqian Qi, Lin Ni, Zhongsheng Wang, Libo Zhang, Jiamou Liu, and Michael Witbrock.
  Epic-Level Text Generation with LLM Through Auto-Prompted Reinforcement Learning.
  Proc. IJCNN 2024.
• Toru Takisaka, Libo Zhang, Changjiang Wang, and Jiamou Liu.
  Lexicographic Ranking Supermartingales with Lazy Lower Bounds.
  Proc. CAV 2024.
• Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, and Michael Witbrock.
  Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables.
  Proc. AAAI 2024.
• Weidong Li, Mengxiao Zhang, Libo Zhang, and Jiamou Liu.
  Integrated Private Data Trading Systems for Data Marketplaces.
  Proc. ECAI 2023.
• Libo Zhang, Yang Chen, Toru Takisaka, Bakhadyr Khoussainov, Michael Witbrock, and Jiamou Liu.
  Learning Density-Based Correlated Equilibria for Markov Games.
  Proc. AAMAS 2023.
• Yang Chen, Libo Zhang, Jiamou Liu, and Michael Witbrock.
  Adversarial Inverse Reinforcement Learning for Mean Field Games.
  Proc. AAMAS 2023.
• Yang Chen, Libo Zhang,, Jiamou Liu, and Shuyue Hu.
  Individual-Level Inverse Reinforcement Learning for Mean Field Games.
  Proc. AAMAS 2022.

Contact

• Office: Room 435, Building 903, 314-390 Khyber Pass Road, Newmarket, Auckland 1023
• Email: lzha797[at]aucklanduni.ac.nz