PeopleofSuperintelligence

Researcher

Bin Cui

Also known as 崔斌

Bin Cui is a Peking University computer science professor whose research spans AI systems, databases and distributed machine learning. He earned a B.Sc. from Xi'an Jiaotong University's Pilot Class in 1996 and a Ph.D. from the National University of Singapore in 2004, then worked as a Research Fellow in the Singapore-MIT Alliance from 2004 to 2006. He received the Microsoft Young Professorship Award (MSRA) in 2008, the CCF Young Scientist Award in 2009 and China's Ministry of Education Natural Science Award, second prize, in 2014; in 2016, he became a Cheung Kong Distinguished Professor. His coauthored work includes PointCLIP's CLIP-based 3D point-cloud recognition, Galvatron systems for Transformer and foundation-model training, and Hetu v2 for distributed deep learning. As of October 2026, he is a professor and director of Peking University's Institute of Data Science and Engineering.

Works
104
Citations
1,141
h-index
19
Badges

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 1996–2004

    Degrees at Xi'an Jiaotong and NUS

    He earns a B.Sc. from Xi'an Jiaotong University (Pilot Class) in 1996 and a Ph.D. from the National University of Singapore in 2004.

  2. 2004–2006

    Research fellow in Singapore-MIT Alliance

    From 2004 to 2006, he works as a Research Fellow in the Singapore-MIT Alliance.

  3. 2008–2014

    Early research awards

    He receives the Microsoft Young Professorship Award (MSRA) in 2008 and the CCF Young Scientist Award in 2009. In 2014, he receives China's Ministry of Education Natural Science Award, second prize.

  4. 2016

    A Cheung Kong professorship

    In 2016, he becomes a Cheung Kong Distinguished Professor.

  5. 2022

    PointCLIP and 3D recognition

    In 2022, he coauthors PointCLIP: Point Cloud Understanding by CLIP, which aligns CLIP-encoded point clouds with 3D category texts and transfers knowledge from 2D to 3D.

  6. November 2023

    An IEEE fellowship

    In November 2023, he is elevated to IEEE Fellow for contributions to large-scale data management, processing and analytics.

  7. By 2025

    Galvatron's automatic parallelism

    In 2022, he coauthors Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism, which is submitted to arXiv. The paper appears at VLDB in 2023 as a system that automates hybrid parallelism for Transformer training. In 2025, he coauthors Galvatron: An Automatic Distributed System for Efficient Foundation Model Training, which selects a hybrid strategy for foundation-model training.

  8. July 2026

    Hetu v2 for distributed training

    In July 2026, he coauthors Hetu v2, which adds HSPMD annotations for asymmetric sharding and hierarchical communication in distributed deep-learning training.

  9. As of October 2026

    Professor and institute director

    As of October 2026, he is a professor and director of Peking University's Institute of Data Science and Engineering. His research spans AI systems, applications, databases, and big-data management and analysis.

Career

  1. NowPeking UniversityProfessor, Institute of Data Science and Engineering
  2. NowPeking UniversityDirector, Institute of Data Science and Engineering
  3. From 2016Peking UniversityCheung Kong Distinguished Professor
  4. 2007–2011Shanghai Jiao Tong University
  5. 2007–2011Chinese Academy of Sciences
  6. 2004–2006Singapore-MIT AllianceResearch Fellow
  7. Peking UniversityVice Dean, School of Computer Science

Education

  1. 2004National University of SingaporePh.D.
  2. 1996Xi'an Jiaotong UniversityB.Sc.

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Checked career sources: comp.nus.edu.sg.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Bin Cui yet. Send us a free-licensed photo.

  1. Bin CUI (崔斌 北京大学) cuibinpku.github.io. Checked 27 October 2026.
  2. Lab Alumnus Elevated to IEEE Fellow comp.nus.edu.sg. Checked 27 October 2026.
  3. PointCLIP: Point Cloud Understanding by CLIP openaccess.thecvf.com. Checked 27 October 2026.
  4. Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism arxiv.org. Checked 27 October 2026.
  5. Galvatron: An Automatic Distributed System for Efficient Foundation Model Training arxiv.org. Checked 27 October 2026.
  6. Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations usenix.org. Checked 27 October 2026.
  7. 崔斌-北京大学计算机学院 cs.pku.edu.cn. Checked 27 October 2026.