PeopleofSuperintelligence

Researcher

Haobo Wang

Also known as 王皓波

Haobo Wang is a Zhejiang University machine learning researcher whose work spans partial-label learning, LLM reasoning and structured data. He studied computer science and artificial intelligence at Zhejiang University, spent a visiting year at the University of New South Wales, and interned at NetEase and Alibaba. His PiCO framework pairs contrastive learning with prototype-based label disambiguation; the ICLR 2022 paper received an Outstanding Paper Award Honorable Mention, and PiCO+ extends it to noisy labels. Since 2023, he has been an assistant professor and PhD supervisor at Zhejiang University, with current interests in data-centric learning, LLM agents, and table intelligence.

Works
133
Citations
1,385
h-index
17

Publication numbers from OpenAlex, as of 14 October 2026.

Photo of Haobo Wang

Timeline

  1. 2014–2018

    A degree and a visiting year

    He earns a B.E. in computer science at Zhejiang University and spends 2017–2018 as a visiting student at the University of New South Wales.

  2. 2018–2020

    Industry internships

    He interns at NetEase in Hangzhou from 2018 to 2019, then works as a research intern at Alibaba in Hangzhou from 2019 to 2020.

  3. 2018–2023

    A doctorate and PiCO

    He completes a Ph.D. in artificial intelligence at Zhejiang University in 2023. PiCO pairs contrastive learning with class prototypes to disambiguate partial labels; it receives an Outstanding Paper Award Honorable Mention and appears in the ICLR 2022 oral program.

  4. 2022–2024

    Extending PiCO to noisy labels

    In a 2022 preprint, Wang and coauthors extend PiCO to noisy partial-label learning, where the true label may be absent from the candidate set. PiCO+ uses clean-sample selection and semi-supervised contrastive learning; the paper appears in TPAMI in 2024.

  5. Since 2023

    Joining the faculty

    He joins Zhejiang University's School of Software Technology as an assistant professor and PhD supervisor in 2023.

  6. 2023–2025

    Dissertation awards

    His honors include the 2023 “Wu Wen-Jun” CAAI Outstanding Doctoral Dissertation and ACM China Doctoral Dissertation Award (Hangzhou Chapter), plus a 2025 WAIC Yunfan Award Rising Star nomination.

  7. As of October 2026

    Research across models and tables

    His current interests include data-centric machine learning, LLM reasoning and agents, and table and structured data intelligence.

  8. As of October 2026

    Service across AI venues

    Wang serves as an Action Editor for Transactions on Machine Learning Research and an area chair for ICLR, ICML, NeurIPS, ACL and EMNLP.

Sources and credits

Photo: hbzju.github.io; Haobo Wang; creator not stated. License: Not stated by source. Source: hbzju.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. Haobo Wang hbzju.github.io. Checked 14 October 2026.
  2. PiCO: Contrastive Label Disambiguation for Partial Label Learning hbzju.github.io. Checked 14 October 2026.
  3. ICLR 2022 Awards iclr.cc. Checked 14 October 2026.
  4. 12 papers have been accepted at ICLR 2022 | Center for Advanced Intelligence Project aip.riken.jp. Checked 14 October 2026.
  5. [2201.08984] PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning arxiv.org. Checked 14 October 2026.
  6. PiCO/README.md at main · hbzju/PiCO · GitHub github.com. Checked 14 October 2026.