I am a second-year PhD student in the Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong, where I am supervised by Professor Viet Anh Nguyen. Previously, I obtained a M.S. in Mathematics from Nanjing University in 2024, where I was co-supervised by Professor Houcai Shen and Professor Caihua Chen. I also obtained a B.S. in Mathematics and Applied Mathematics from Sichuan University in 2021.

My research interests lie in data-driven decision making, with applications spanning machine learning and operations research. Broadly, I focus on developing efficient algorithms that turn data into reliable decisions under uncertainty and limited resources, with an emphasis on computational scalability and practical performance. You can find my CV here.

🔥 News

• 2026.01:  🎉🎉 One paper get accpted to ICLR 2026!
• 2025.12:  🎉🎉 One paper get accpted to AAAI 2026!

📝 Publications

• Exploring Diverse Generation Paths via Inference-time Stiefel Activation Steering, Dongxuan Zhu, Ly Tran Ho Khanh, Andy Yat-Ming Cheung, Man-Chung Yue, Viet Anh Nguyen, ICLR 2026

• Test-time Diverse Reasoning by Riemannian Activation Steering, Ly Tran Ho Khanh, Dongxuan Zhu, Man-Chung Yue, Viet Anh Nguyen, AAAI 2026

✒️ Preprints

• Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization, Dongxuan Zhu, Weihuan Huang, Caihua Chen

💻 Internships

• 2023.11 - 2024.03, Ant Group, Hangzhou, China.

📖 Teaching

• Teaching Assistant, The Chinese University of Hong Kong
  • SEEM 5710 Principles of Operations Management, Spring 2025
  • ENGG 2760 Probabilities for Engineers, Spring 2025
  • ENGG 2440 Discrete Math for Engineers, Fall 2024

🎖 Honors and Awards

• The First Prize Scholarship (2021) and The Third Prize Scholarship (2022) in Nanjing University
• Individual Scholarship (2018&2019) and The Third Prize Scholarship (2020) in Sichuan University