Jiaheng Liu

Jiaheng Liu

Assistant Professor, PhD Supervisor

Nanjing University

Multimodal Art Projection (M-A-P)

Biography

Asst. Prof. Jiaheng Liu is an Alibaba Star and one of the founding members of Multimodal Art Projection (M-A-P).

In recent years, he has published more than 50 papers in top international academic journals and conferences such as ICML, NeurIPS, ICLR, ACL, CVPR, ICCV, with more than 20 first-author and corresponding-author papers, over 2000 Google Scholar citations, and received the ACL 2024 Outstanding Paper Award.

He has long served as a reviewer for top international academic journals and conferences such as IEEE TPAMI, TIP, NeurIPS, ICLR, CVPR, ICCV and as an ACL ARR Area Chair, and organized large model foundation workshops at the top international academic conference ICLR.

Research Interests

His research focuses on:

  • Large Language Models: Pre-training, fine-tuning, and optimization of large-scale language models
  • Multimodal Large Models: Integration of vision, language, and other modalities in AI systems
  • Code Intelligence: AI systems for software development and programming assistance
  • Model Alignment: Ensuring AI systems behave according to human values and intentions
  • AI Evaluation: Developing comprehensive evaluation frameworks for AI capabilities

Academic Leadership

Prof. Liu plays an active role in the AI research community:

  • Conference Organization: Organizer of large model foundation workshops at ICLR
  • Editorial Services: Area Chair for ACL ARR (Association for Computational Linguistics Rolling Review)
  • Peer Review: Regular reviewer for top-tier venues including IEEE TPAMI, TIP, NeurIPS, ICLR, CVPR, ICCV
  • Industry Collaboration: Close partnerships with leading tech companies on cutting-edge AI research

Innovation and Impact

His work bridges theoretical advances and practical applications, contributing to the development of more capable, aligned, and useful AI systems. Through M-A-P and other initiatives, he promotes open research and collaboration in the multimodal AI community.

Interests
  • Large Language Models
  • Multimodal Large Models
  • Code Intelligence
  • Model Alignment and Evaluation
  • Pre-training
Education
  • PhD in Computer Science, 2020

    University Name

  • MSc in Computer Science, 2017

    University Name

  • BSc in Computer Science, 2015

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