Jialiang Tang

Jialiang Tang

I am a Joint Ph.D. student at Nanjing University of Science and Technology (NJUST) and Nanyang Technological University (NTU), advised by Prof. Dacheng Tao and Prof. Chen Gong. My research primarily focuses on machine learning, with specific interests in Knowledge Distillation, Model Compression, and Learning with Label Noise. I have published several academic papers in top venues such as ICCV, ECCV, and IEEE TIP.

Jialiang Tang

About

I am a Joint Ph.D. student at Nanjing University of Science and Technology (NJUST) and Nanyang Technological University (NTU), advised by Prof. Dacheng Tao and Prof. Chen Gong. My research focuses on machine learning, with interests in Knowledge Distillation, model compression, time series forecasting, and Learning with Label Noise.

  • Email: tangjialiang052@gmail.com
  • Google Scholar: https://scholar.google.com/citations?user=h88bovMAAAAJ&hl=zh-CN
  • ORCID: https://orcid.org/0000-0001-7347-4790
  • GitHub: https://github.com/tangjialiang97

Research Interests

  • Knowledge distillation across domains and distributions
  • Data-free distillation with webly collected data
  • Model compression and robustness under label noise
  • Time series forecasting

Selected Publications

  • Learning Student Network under Universal Label Noise, IEEE TIP, 2023 — /publication/tip
  • Distribution Shift Matters for Knowledge Distillation with Webly Collected Images, ICCV, 2023 — /publication/iccv
  • Direct Distillation between Different Domains, ECCV, 2024 — /publication/eccv
  • Hybrid Data-Free Knowledge Distillation, AAAI, 2025 — /publication/aaai

More

  • Publications: /publications/
  • CV: /cv/