PeopleofSuperintelligence

Researcher

Bo Pang

Bo Pang is a computer scientist whose AI work connects early sentiment classification with multimodal vision-language models. He coauthored a movie-review classifier with Lillian Lee and Shivakumar Vaithyanathan, completed a Cornell computer-science PhD in 2006, and worked at Yahoo! Research before Google AI. At Google, he contributed to graph learning and coauthored Omni-SMoLA; his 2002 paper earned the 2018 NAACL Test-of-Time Award. As of October 2026, he is a staff research scientist at Google Research, working in natural language processing and multimodal AI.

Works
69
Citations
13,823
h-index
31
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2002

    Sentiment classification by machine learning

    In 2002, he coauthors “Thumbs up?” with Lillian Lee and Shivakumar Vaithyanathan, using Naive Bayes, maximum entropy, and support vector machines for movie-review sentiment. Their experiments find that these classifiers outperform human-produced baselines.

  2. 2004

    Subjectivity and minimum cuts

    In 2004, he and Lee publish “A Sentimental Education,” a paper on sentiment analysis based on subjectivity summarization and minimum cuts.

  3. 2006

    Cornell, Yahoo!, and Google AI

    He completes a PhD in computer science at Cornell in 2006 before working at Yahoo! Research and Google AI.

  4. 2008

    An opinion-mining monograph

    With Lillian Lee, he publishes the 2008 monograph “Opinion Mining and Sentiment Analysis,” a survey of the sentiment-analysis field.

  5. 2016

    Graph learning at Google

    In 2016, he is among the Google contributors recognized for Expander, a graph-learning platform that uses massive graphs to recognize concepts in language, images, video, and queries.

  6. 2018

    A NAACL Test-of-Time Award

    He shares the 2018 NAACL Test-of-Time Award with Lillian Lee and Shivakumar Vaithyanathan for their 2002 sentiment-classification paper.

  7. 2024

    Omni-SMoLA's multimodal experts

    In 2024, he coauthors Omni-SMoLA, which mixes multimodal low-rank experts to improve generalist vision-language models.

  8. As of October 2026

    Staff research scientist at Google

    As of October 2026, he is a staff research scientist at Google Research. His work covers natural language processing and multimodal AI.

Career

  1. NowGoogle ResearchStaff Research Scientist
  2. 2018–2024Shanghai Jiao Tong University
  3. 2012–2024Google
  4. 2007–2012Yahoo

Education

  1. 2006Cornell UniversityPhD in computer science

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

  1. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. Google has the highest combined h-index among AI organizationsIncludes Google. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  3. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Google. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Google. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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

  1. Thumbs up? Sentiment Classification using Machine Learning Techniques aclanthology.org. Checked 20 October 2026.
  2. Thumbs up? Sentiment classification using machine learning techniques cs.cornell.edu. Checked 20 October 2026.
  3. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts aclanthology.org. Checked 20 October 2026.
  4. Cornell NLP :: People nlp.cornell.edu. Checked 20 October 2026.
  5. Lillian Lee | Department of Linguistics linguistics.cornell.edu. Checked 20 October 2026.
  6. Graph-powered Machine Learning at Google research.google. Checked 20 October 2026.
  7. Test-of-Time Award Papers – NAACL HLT 2018 Chairs Blog naacl2018.wordpress.com. Checked 20 October 2026.
  8. Bo Pang research.google. Checked 20 October 2026.
  9. bo.pang sites.google.com. Checked 20 October 2026.