Kaixiong Gong

Ph.D. Candidate @ CUHK MMLab · Tencent Hunyuan

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I am a fourth-year Ph.D. student at MMLab, The Chinese University of Hong Kong, advised by Prof. Xiangyu Yue.

I am currently working with the pre-training team at Tencent Hunyuan, where I contribute to building the Hunyuan Video and Hunyuan Image series of models.

My research goal is to develop simple, scalable, and systematic approaches for generative and multimodal models.

2027 Job Market I will be on the 2027 job market. Please feel free to contact me to discuss potential opportunities.

News

Aug 05, 2026 2026: One paper was accepted to ICML 2026, and two papers were accepted to ACL 2026 (one Oral).
Dec 31, 2025 2025: One paper was accepted to NeurIPS 2025.
Dec 31, 2024 2024: One paper was accepted to NeurIPS 2024, three papers to CVPR 2024, one paper to ECCV 2024, and one paper to EMNLP 2024.
Dec 31, 2023 2023: We released Meta-Transformer and Plain Language Models Can Read Point Clouds and Benefit 3D Vision.
Dec 31, 2022 2022: One paper was accepted to ACM Multimedia 2022.
Dec 31, 2021 2021: One paper was accepted to NeurIPS 2021, and two papers were accepted to CVPR 2021 (one Oral).

Experience

Hunyuan @Tencent
10/2025 - Present
Shenzhen
Research Intern
Mentors: Jian-Wei Zhang and Miles Yang
Working on: Video generation pre-training, VAE development, data scaling, and unified understanding and generation
Core Contribution: Hunyuan Video
Contribution: Hunyuan Image
Kuaishou Tech @Kling
05/2024 - 08/2025
Shenzhen
Research Intern
Mentor: Xintao Wang
Research Topics: Autoregressive Visual Generation, Unified Understanding and Generation
Shanghai AI Lab
11/2022 - 05/2024
Beijing
Research Intern
Mentor: Xiangyu Yue
Research Topics: Multi-modal LLM

Education

The Chinese University of Hong Kong
Sep. 2023 - Present
Hong Kong, China
Ph.D. in MMLAB (Information Engineering)
Honor: Hunyuan Scholarship
Supervisor: Prof. Xiangyu Yue
Research Topics: Multi-modal Learning, Generative Models
Beijing Institute of Technology
2020 - 2023
Beijing, China
Master's Degree in Computer Science
Honor: National Scholarship, Ministry of Education of China (2021)
Beijing Institute of Technology
2016 - 2020
Beijing, China
Bachelor's Degree in Software Engineering

Research

  1. ICML
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    Twins: Learn to Predict Unified Representations with Focal Loss
    Kaixiong Gong, Xin Cai, Bin Lin, and 9 more authors
    In International Conference on Machine Learning (ICML), 2026
    * Equal contribution
    arXiv PDF Code
  2. ACM MM
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    Improving Transferability for Domain Adaptive Detection Transformers
    Kaixiong Gong, Shuang Li, Shugang Li, and 3 more authors
    In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022
    PDF
  3. IEEE TCYB
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    Critical Classes and Samples Discovering for Partial Domain Adaptation
    Shuang Li, Kaixiong Gong, Binhui Xie, and 3 more authors
    IEEE Transactions on Cybernetics, 2022
    PDF
  4. NeurIPS
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    Pareto Domain Adaptation
    Fangrui Lv, Jian Liang, Kaixiong Gong, and 5 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2021
    PDF Code
  5. CVPR
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    MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
    Shuang Li, Kaixiong Gong, Chi Harold Liu, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    PDF Code
  6. CVPR (Oral)
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    Transferable Semantic Augmentation for Domain Adaptation
    Shuang Li, Mixue Xie, Kaixiong Gong, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    PDF Code
  7. IEEE TKDE
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    End-to-End Transferable Anomaly Detection via Multi-spectral Cross-domain Representation Alignment
    Shuang Li, Shugang Li, Mixue Xie, and 4 more authors
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
    PDF

Services

Conference Reviewer
NeurIPS, ICML, CVPR, ICCV

Invited Talks

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
VALSE
10/2021
MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
BAAI (Beijing Academy of Artificial Intelligence)
03/2021