PeopleofSuperintelligence

Researcher

Long-Kai Huang

Also known as 黃隆锴

Long-Kai Huang is a machine learning researcher whose work spans transfer learning, meta-learning, continual learning and AI for protein design. They earned a B.Eng. at Sun Yat-sen University and a PhD at Nanyang Technological University under Sinno Jialin Pan, and were a senior researcher at Tencent AI Lab. The ICLR 2024 paper Meta Continual Learning Revisited, written with Yichen Wu, Renzhen Wang, Deyu Meng and Ying Wei, received an Outstanding Paper Honorable Mention. In 2025, they published Steering Protein Language Models at ICML. They are an assistant professor in the Department of Computer Science at Hong Kong Baptist University.

Badges

Timeline

  1. 2020

    Distributed PCA at ICML

    They receive a B.Eng. from Sun Yat-sen University and a PhD from Nanyang Technological University, supervised by Sinno Jialin Pan. In 2020, they and Pan publish Communication-Efficient Distributed PCA by Riemannian Optimization at ICML, an algorithm that trades local computation for global communication.

  2. 2022

    The TransRate measure

    In 2022, they coauthor Frustratingly Easy Transferability Estimation with Junzhou Huang, Yu Rong, Qiang Yang and Ying Wei at ICML. The paper introduces TransRate, which scores a pre-trained model's transferability to a target task from the mutual information between its features and the labels, in a single pass over the target examples.

  3. 2023

    Neural network repair at NeurIPS

    In 2023, they publish Retaining Beneficial Information from Detrimental Data for Neural Network Repair at NeurIPS with Peilin Zhao, Junzhou Huang and Sinno Pan. The method uses a retained clean set to identify harmful training data, then separates the beneficial information in that data and uses it to improve the model.

  4. 2024

    An ICLR honorable mention

    In 2024, their ICLR paper Meta Continual Learning Revisited, written with Yichen Wu, Renzhen Wang, Deyu Meng and Ying Wei, receives an Outstanding Paper Honorable Mention. The paper proposes Variance Reduced Meta-CL (VR-MCL), which links meta-continual learning to regularization-based methods through online Hessian approximation.

  5. By 2025

    Tencent AI Lab researcher

    They work as a senior researcher at Tencent AI Lab and Tencent AI for Life Sciences Lab. In March 2025, they give a Hong Kong Baptist University computer science seminar on meta-learning and continual learning as Senior Researcher of the AI for Science Center at Tencent AI Lab.

  6. 2025

    Steering protein language models

    In 2025, they publish Steering Protein Language Models at ICML with Rongyi Zhu, Bing He and Jianhua Yao. The paper adapts activation steering, a technique from large language models, to direct protein language models toward sequences with targeted properties, tested on lysozyme-like sequence generation and optimization.

  7. As of October 2026

    Assistant professor at HKBU

    They are an assistant professor in the Department of Computer Science at Hong Kong Baptist University. Their research applies AI to scientific discovery in life science domains such as genomics, protein design and drug discovery.

Career

  1. NowHong Kong Baptist UniversityAssistant Professor
  2. From 2025TencentSenior Researcher

Education

  1. 2020Sun Yat-sen UniversityB.Eng.
  2. 2020Nanyang Technological UniversityPhD

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Hong Kong Baptist 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.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Hong Kong Baptist 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.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Hong Kong Baptist University. 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.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Tencent. 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

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  1. Long-Kai Huang long-kai.github.io. Checked 21 October 2026.
  2. Communication-Efficient Distributed PCA by Riemannian Optimization proceedings.mlr.press. Checked 21 October 2026.
  3. Frustratingly Easy Transferability Estimation proceedings.mlr.press. Checked 21 October 2026.
  4. Retaining Beneficial Information from Detrimental Data for Neural Network Repair proceedings.neurips.cc. Checked 21 October 2026.
  5. ICLR 2024 Awards iclr.cc. Checked 21 October 2026.
  6. Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction - CityUHK Scholars scholars.cityu.edu.hk. Checked 21 October 2026.
  7. [COMP Seminar] Meta-Learning Meets Continual Learning: Towards Autonomous and Continuous Learning Systems | HKBU Research research.hkbu.edu.hk. Checked 21 October 2026.
  8. Steering Protein Language Models proceedings.mlr.press. Checked 21 October 2026.
  9. Long-Kai HUANG - Hong Kong Baptist University scholars.hkbu.edu.hk. Checked 21 October 2026.