PeopleofSuperintelligence

Researcher

Baoliang Lu

Also known as Bao-Liang Lu

Baoliang Lu is a computer scientist whose work connects machine learning with language processing and brain-computer interfaces. He earned degrees in China and Japan, worked at RIKEN, and joined Shanghai Jiao Tong University as a professor in 2002. His work includes Chinese word segmentation, multimodal deep-learning methods for emotion recognition, and EEG datasets used in later studies. He received the 2022 Asia Pacific Neural Network Society Outstanding Achievement Award and coauthored NeuroLM, a foundation model for language and EEG. As of October 2026, he is a tenured professor at Shanghai Jiao Tong University's Institute of Artificial General Intelligence.

Badges

Timeline

  1. 1982–1994

    Engineering degrees and early work

    He earns a B.S. in instrument and control engineering at Qingdao University of Science and Technology in 1982 and works there from 1982 to 1986. He earns an M.S. in computer science and engineering at Northwestern Polytechnical University in 1989, then a Dr. Eng. in electrical engineering at Kyoto University in 1994.

  2. 1994–2002

    Research at RIKEN

    From 1994 to 1999, he serves as a frontier researcher at RIKEN's Bio-Mimetic Control Research Center in Nagoya. From 1999 to 2002, he works as a research scientist at the RIKEN Brain Science Institute in Wako.

  3. Since 2002

    Professor at Shanghai Jiao Tong

    Since August 2002, he is a full professor at Shanghai Jiao Tong University's School of Computer Science.

  4. 2010

    Chinese word segmentation

    In 2010, he coauthors “A Unified Character-Based Tagging Framework for Chinese Word Segmentation” with Hai Zhao, Changning Huang and Mu Li.

  5. 2016

    A multimodal emotion model

    In 2016, he coauthors “Multimodal Emotion Recognition Using Multimodal Deep Learning,” which builds affective models from physiological signals. Its Bimodal Deep AutoEncoder achieves mean accuracies of 91.01% on SEED and 83.25% on DEAP.

  6. 2021

    SEED for emotion recognition

    In 2021, a cross-subject and cross-session EEG emotion-recognition study evaluates the SEED and SEED-IV datasets, which the BCMI laboratory led by Lu establishes.

  7. 2022

    An APNNS achievement award

    In 2022, he receives the Asia Pacific Neural Network Society's Outstanding Achievement Award.

  8. As of October 2026

    Tenured professor at SJTU

    In 2025, he coauthors NeuroLM, a multi-task foundation model that treats EEG signals as a foreign language and supports multi-task learning. As of October 2026, he is a tenured professor at Shanghai Jiao Tong University's Institute of Artificial General Intelligence.

Career

  1. Since 2002Shanghai Jiao Tong UniversityFull Professor
  2. 1994–2002RIKENFrontier Researcher, Research Scientist
  3. 1982–1986Qingdao University of Science and Technology

Education

  1. 1994Kyoto UniversityDr. Eng.
  2. 1989Northwestern Polytechnical UniversityM.S.
  3. 1982Qingdao University of Science and TechnologyB.S.

From the biography.

  1. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes Shanghai Jiao Tong University. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Shanghai Jiao Tong University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Shanghai Jiao Tong University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Shanghai Jiao Tong University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

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

Sources and credits

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  1. Baoliang Lu-上海交通大学计算机学院（网络空间安全学院、密码学院） cs.sjtu.edu.cn. Checked 20 October 2026.
  2. Welcome :: SJTU Computer Science & Engineering cs.sjtu.edu.cn. Checked 20 October 2026.
  3. Multimodal Emotion Recognition Using Multimodal Deep Learning arxiv.org. Checked 20 October 2026.
  4. Frontiers | MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition frontiersin.org. Checked 20 October 2026.
  5. NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals arxiv.org. Checked 20 October 2026.