About me

I am currently a AI Research Scientist at Salesforce AI Research, Singapore. My current research focuses are time series foundation models and tabular foundation models.

I obtained my Ph.D. degree at Nanyang Technological University (NTU). I was also affiliated with I²R, A*STAR (Singapore’s national research agency) and Descartes CNRS@CREATE (a French-Singaporean collaborative research programme). I was fortunate to be supervised by Prof. Xudong Jiang and Dr. Savitha Ramasamy, and was previously co-supervised by Prof. P.N. Suganthan.

Apart from research, I like reading 📚, music 🎵 (playing violin 🎻 sometimes) and doing sports 💪🏀. I’m also a fan of MMA 🥊 and video games 🎮 (though I’ve stopped playing them recently!).

I am open to discussions on research ideas and potential collaborations. Feel free to reach me at qiao0020@e.ntu.edu.sg.

Recent News

• [Aug 2026]: Joined Salesforce as a AI Research Scientist, working on TSFMs & Tabular FMs.
• [May 2026]: Our paper is accepted by ICML 2026! See you in Seoul🕺!
• [Oct 2025]: Joined TikTok as a PhD Intern, working on MLLMs in LIVE applications.
• [Sep 2025]: Our paper is accepted by NeurIPS 2025🥳 See you in San Diego!
• [June 2025]: Attended our programme’s yearly workshop, SINFRA 2025, in Cergy, Paris 🥐

Experience

• Aug 2026 - Prsent: AI Research Scientist, Salesforce AI Research, Singapore
• Oct 2025 – Jan 2026: Algorithm Engineer Intern, Global Live Team, TikTok, Singapore
• Dec 2020 – May 2021: Research Intern, I²R, A*STAR, Singapore

Education

• 2022-2026: Ph.D. in Interdisciplinary Graduate Programme, NTU.
• 2020-2021: M.Sc. in Electrical and Electronic Engineering, NTU.
• 2016-2020: B.Eng. in Automation, Northeastern University, China.

Selected publications

• It’s TIME: Towards the Next Generation of Time Series Forecasting Benchmarks (ICML, 2026) [Code] [Leaderboard] Zhongzheng Qiao, Sheng Pan, Anni Wang, Viktoriya Zhukova, Yong Liu, Xudong Jiang, Qingsong Wen, Mingsheng Long, Ming Jin, Chenghao Liu

• Multi-Scale Finetuning for Encoder-based Time Series Foundation Models (NeurIPS, 2025) [Code] Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, P.N. Suganthan, Xudong Jiang, Savitha Ramasamy
• CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification (ACL, 2025) Romain Meunier, Farah Benamara, Véronique Moriceau, Zhongzheng Qiao, Savitha Ramasamy
• Class-incremental learning for time series: Benchmark and evaluation (SIGKDD, 2024) [Code] Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H Le, Ponnuthurai N Suganthan, Xudong Jiang, Savitha Ramasamy
• Class-incremental learning on multivariate time series via shape-aligned temporal distillation (ICASSP, 2023) Zhongzheng Qiao, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Ramasamy Savitha

Awards

• NTU Premium Research Scholarship
• Outstanding Graduates in Northeastern University
• Northeastern University Outstanding Student Scholarship