News
Recent News (2025-2026)
- 01/2026: One paper on Human Involved Agentic Systems accepted by ICLR!
- 01/2026: One paper on Physics Informed Diffusion Foundation Model accepted by ICLR!
- 01/2026: One paper on Offline RL accepted by AISTATS!
- 01/2026: Invited talk “Frontiers of Physics-Informed Time Series Foundation Models.” Host: Peking University, School of AI for Science.
- 01/2026: Invited talk “TSFoundation: From Foundation Models to Agents Orchestration.” Host: DataDog AI Research Lab.
- 12/2025: 🚀 TSOrchestra, our agentic-guided foundation model forecasting framework from USC Melady Lab, reached Rank #1 on the Salesforce GIFT-Eval leaderboard (MASE & CRPS)!
- 10/2025: Invited talk on Advancing Time Series Analysis with Unified Foundation Models at Rice University - CS Department!
- 10/2025: Invited talk on Advancing Time Series Analysis with Unified Foundation Models at Prairie View A&M University - Center of Excellence in Research and Education for Big Military Data Intelligence!
- 09/2025: Invited talk on Time Series Foundation Models at Caltech - Academia-Industry X!
- 07/2025: Invited talk on Time Series Foundation Models at UCSD & Abel.AI!
- 03/2025: Invited talk on New Frontiers in Time Series Foundation Models at University of British Columbia!
- 10/2024: Invited talk on Time Series Foundation Model in QuantLLM Community!
- 10/2024: Invited talk on Time Series Foundation Model in Lehigh University!
- 09/2024: Invited talk on Time Series Foundation Model in Emory University!
- 09/2024: One paper on Simulator Calibration with Google Research accepted by NeurIPS!
- 06/2024: Started summer internship at Cubist as a Quantitative Researcher in Foundation Models!
- 04/2024: Time Series Foundation Model - TEMPO (ICLR 2024) published on Github and Hugging Face!
- 04/2024: Selected for the 2024 Best Research Assistant Award in USC CS Department! (1 per department)
- 03/2024: Awarded a Graduate School Endowed Fellowship for the academic year!
- 01/2024: One paper accepted by WWW and two papers accepted by ICLR!
Past Achievements (click to expand)
- 12/2023: One paper on multi-modal time series foundation model accepted by AAAI Mentored Undergraduate Research Program!
- 10/2023: One paper on Financial Time-Series Forecasting accepted by ICAIF as Oral paper!
- 06/2023: Joined MBZUAI as a visiting scholar, working with Prof. Kun Zhang!
06/2023: Invited talk at Google Sustainable Urban Mobility: Simulation and Optimization Workshop! Video Slides - 02/2023: One paper on Representation Learning accepted by CVPR!
- 01/2023: One paper on Neural Operator accepted by ICLR!
- 12/2022: One paper on Time-Series Forecasting accepted by SDM!
- 11/2022: One paper on Causal Inference accepted by AAAI!
- 10/2022: One paper on Out-of-distribution benchmark accepted by NeurIPS DistShift!
- 09/2022: One paper on Causal Inference accepted by NeurIPS!
- 07/2022: One paper on Causal Inference accepted by ICML Continuous time workshop!
- 05/2022: One paper accepted by IEEE ICCCAS!
- 04/2022: One paper accepted by NAACL main conference!
- 03/2022: Published the pre-print survey paper of ‘Physics-Informed Machine Learning’!
- 02/2022: Accepted the Research Scientist Intern offer at Adobe Research!
- 01/2022: One paper accepted by PAKDD!
- 11/2021: Organized ICAIF 2021 workshop - Time Series in Finance!