PeopleofSuperintelligence

Researcher

Hai-Tao Zheng

Also known as Haitao Zheng, Zheng Haitao, 郑海涛

Hai-Tao Zheng is an associate professor at Tsinghua Shenzhen International Graduate School whose research covers pre-trained large models, knowledge graphs and semantic mining. After degrees at Sun Yat-sen University and a 2009 PhD in medical informatics at Seoul National University, they coauthored ShuffleNet V2 in 2018, a paper that won a 2019 VALSE outstanding student paper award. With Ning Ding, Zhiyuan Liu and other coauthors, they contributed to the Few-NERD dataset in 2021, the OpenPrompt toolkit in 2022 and the delta-tuning analysis in Nature Machine Intelligence in 2023. They won the 2023 Shenzhen Artificial Intelligence Natural Science Award and were elected an IET Fellow in 2026. At the school, they are deputy director of the Institute of Artificial Intelligence Science and Technology.

Timeline

  1. 1997–2009

    Degrees at Sun Yat-sen and Seoul

    Zheng studies computer software at Sun Yat-sen University, earning a bachelor's degree in 2001 and a master's degree in computer software and theory in 2004. After a stint as a lecturer at South China Agricultural University from 2005 to 2006, they complete a PhD in medical informatics at Seoul National University in 2009. In 2009, they also publish a text document clustering paper in Information Sciences with Bo-Yeong Kang and Hong-Gee Kim.

  2. 2018–2019

    ShuffleNet V2 at ECCV

    In 2018, they coauthor ShuffleNet V2 with Ningning Ma, Xiangyu Zhang and Jian Sun for the European Conference on Computer Vision. The paper proposes practical guidelines for efficient network design and a new architecture that comprehensive experiments show to be state-of-the-art in both speed and accuracy. It wins the 2019 VALSE Outstanding Student Paper of the Year Award.

  3. 2021–2022

    Few-NERD and OpenPrompt

    In 2021, they coauthor Few-NERD with Ning Ding, Zhiyuan Liu and others, a human-annotated few-shot named entity recognition dataset with 8 coarse-grained and 66 fine-grained entity types. In 2022, they coauthor OpenPrompt, a toolkit for prompt-learning over pre-trained language models, which wins the ACL 2022 best system demonstration paper award.

  4. 2023

    Delta tuning for language models

    In March 2023, Nature Machine Intelligence publishes "Parameter-efficient fine-tuning of large-scale pre-trained language models", an analysis of delta-tuning, with Zheng among its authors. The paper proposes a unified categorization of methods that adapt a model by changing a small share of its parameters, and tests them on over 100 natural language processing tasks. A cover article, it earns a 2023 World Artificial Intelligence Conference youth outstanding paper award and a 2023 China Computing Conference best academic paper award.

  5. 2023

    A Shenzhen AI science prize

    In 2023, they receive the Shenzhen Artificial Intelligence Natural Science Award as first contributor, for a project on knowledge representation and mining based on prompt learning. They are also selected as one of the top 100 influential scholars of ECCV in 2023. They also serve as area chair for NeurIPS 2023 and for AAAI 2023.

  6. 2024–2026

    IEEE Senior Member to IET Fellow

    They become an IEEE Senior Member in March 2024 and are selected for Guangdong Province's special support program for young top talent in 2025. In 2026, they are elected a Fellow of the Institution of Engineering and Technology (IET).

  7. 2025

    KuaiMod for content moderation

    In 2025, they coauthor "VLM as Policy" with Xingyu Lu, Kun Gai and others, published at ACM SIGKDD. The paper annotates a short-video content moderation benchmark and proposes KuaiMod, which uses a large vision language model with chain-of-thought reasoning; its deployment reduces the user reporting rate by 20%. It receives an ACM SIGKDD 2025 best paper honorable mention.

  8. As of October 2026

    Associate professor at Tsinghua SIGS

    They are an associate professor and PhD supervisor at Tsinghua Shenzhen International Graduate School, and deputy director of its Institute of Artificial Intelligence Science and Technology and of its Knowledge Engineering Research Center. Their research covers pre-trained large models, knowledge graphs and semantic mining, and their representative results include the jointly developed open-source language model ChatGLM-6B. They lead a National Natural Science Foundation of China project on multimodal knowledge graph construction under low-resource conditions, running from 2023 to 2026.

Career

  1. NowTsinghua UniversityAssociate Professor and PhD Supervisor
  2. NowTsinghua Shenzhen International Graduate SchoolDeputy Director
  3. 2005–2006South China Agricultural UniversityLecturer

Education

  1. 2009Seoul National UniversityPhD in medical informatics
  2. 2004Sun Yat-sen UniversityMaster's degree in computer software and theory
  3. 2001Sun Yat-sen UniversityBachelor's degree

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Hai-Tao Zheng. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Tsinghua 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.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Tsinghua 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.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes Tsinghua 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.

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 Hai-Tao Zheng yet. Send us a free-licensed photo.

  1. Zheng Haitao, Associate Professor – Tsinghua Shenzhen International Graduate School (English faculty page) sigs.tsinghua.edu.cn. Checked 21 October 2026.
  2. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design – ECCV 2018 Open Access Repository openaccess.thecvf.com. Checked 21 October 2026.
  3. Few-NERD: A Few-shot Named Entity Recognition Dataset – ACL Anthology aclanthology.org. Checked 21 October 2026.
  4. OpenPrompt: An Open-source Framework for Prompt-learning – ACL Anthology aclanthology.org. Checked 21 October 2026.
  5. Parameter-efficient fine-tuning of large-scale pre-trained language models | Nature Machine Intelligence nature.com. Checked 21 October 2026.
  6. 郑海涛 – 清华大学深圳国际研究生院 (Chinese faculty page) sigs.tsinghua.edu.cn. Checked 21 October 2026.
  7. [2504.14904] VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform arxiv.org. Checked 21 October 2026.