Hongxia Yang

Professor

Department of Computing

Hong Kong Polytechnic University

Prof. Hongxia Yang, PhD from Duke University, has published over 150 papers in top-tier conferences and journals, and holds more than 50 patents in the USA and China. Previously, she worked as a research staff member at IBM T.J. Watson research center, principal scientist at Yahoo!, an AI scientist and Director at Alibaba DAMO Academy, an adjunct professor at Zhejiang University’s Shanghai Advanced Research Institute and the Head of Large Language Models at ByteDance US.

Open positions: I am currently seeking to recruit fully funded Research Assistants, PhD students, Postdoctoral Fellows, and Research Assistant Professors (RAP) with expertise in Generative AI (LLMs, MLLMs, Diffusion Models), Reinforcement learning (RL) and decentralized computing. For further details on our recent progress, please refer to our huggingface workspace.

We maintain high standards in coding. Please be prepared to complete a coding test first, followed by a presentation summarizing your previous work as the second round of the interview. Once you are ready, please send me an email with your CV. Good luck! 🎉🎉

Grants

[2025] RAISe+ (ITC), Reallm: World-leading Enterprise GenAI Infrastructure Solution, HK\$35.4M (Stage 1) and HK\$40M (Stage 2).
[2025] TRS (RGC), Collaborative Generative AI (Co-GenAI), HK$62.6M.
[2025] GRF (RGC), Scaling Low-Bit Training for Efficient Large Model Deployment, HK$1.1M.
[2025] NVIDIA Academic Grant Program Award, Dynamic Precision-Aware Low-Bit Training for Multimodal LLMs on Blackwell GPUs, DGX Spark Donations.

Awards And Honors

[2025] World Top 50 Women in AI and Web3 by CoinDesk.
[2023-now] AI 2000 Most Influential Scholar Award.
[2022] Top 50 Women in Tech by Forbes China.
[2022] Ministry of Education Science and Technology Progress Award First Class (教育部科学技术进步奖一等奖) for Large-Scale Graph Neural Network Edge-Cloud Collaborative Computing Platform and Application Demonstration.
[2021] Chinese Institute of Electronics Science and Technology Progress First Class (中国电子学会科学技术进步奖一等奖) for Ultra-Large Scale High-Performance Graph Neural Network Computing Platform and Its Applications.
[2020] National Science and Technology Progress Award Second Class (国家科学技术进步奖二等奖) for Key Technologies in Intelligent Science and Technology Information Mining and Knowledge Services and Their Large-Scale Application.
[2020] National Natural Science Foundation of China key project (国家自然基金委重点项目), Research on Autonomous, Efficient, and Generalizable Neural Network Models in Complex E-commerce Environments.
[2019] World Artificial Intelligence Conference's highest award, the Super AI Leader (SAIL Award).
[2016] Recognized by WILEY as one of the world's most inspirational female data scientists.

Latest Publications

NeurIPS

2024

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models

Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, and Hongxia Yang

NeurIPS, 2024

Paper Bib

@article{li2024infibench,
  title = {InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models},
  author = {Li, Linyi and Geng, Shijie and Li, Zhenwen and He, Yibo and Yu, Hao and Hua, Ziyue and Ning, Guanghan and Wang, Siwei and Xie, Tao and Yang, Hongxia},
  journal = {NeurIPS},
  year = {2024},
  url = {https://arxiv.org/abs/2404.07940},
}

NeurIPS

2024

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, and Hongxia Yang

NeurIPS, 2024

Paper Bib

@article{ai2024dreamclear,
  title = {DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation},
  author = {Ai, Yuang and Zhou, Xiaoqiang and Huang, Huaibo and Han, Xiaotian and Chen, Zhengyu and You, Quanzeng and Yang, Hongxia},
  journal = {NeurIPS},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96507},
}

NeurIPS

2024

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model

Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, and Hongxia Yang

NeurIPS, 2024

Paper Bib

@article{liu2024visual,
  title = {Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model},
  author = {Liu, Haogeng and You, Quanzeng and Han, Xiaotian and Liu, Yongfei and Huang, Huaibo and He, Ran and Yang, Hongxia},
  journal = {NeurIPS},
  year = {2024},
  url = {https://arxiv.org/abs/2405.17815},
}