I am an assistant professor in School of Computing and Augmented Intelligence at Arizona State University. I am generally interested in deep learning, representation learning, and dynamical systems.
Research Highlights
Structure-preserving dynamics modeling: Develops machine learning models that embed physical laws, such as energy conservation and entropy production, directly into their architecture for stable and reliable long-term prediction. [NeurIPS 2021,MSML 2022,NeurIPS 2023,ICLR 2025,TMLR 2026]
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Implicit neural representations (INRs)/physics-informed neural networks (PINNs): Develop continuous neural function representations for complex and structured signals, enabling resolution-independent modeling and principled learning under known constraints. [AAAI 2021,NeurIPS 2023,ICML 2024,ICLR 2025]
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News
Feb 2026: One paper accepted by Materials Today
Feb 2026: One paper accepted at CVPR 2026
Feb 2026: One paper accepted by TMLR
Jan 2026: One paper accepted at ICLR 2026
Nov 2025: Ray defended his master’s thesis. Congrats!
Sep 2025: Will be serving as an AC at ICLR 2026
Sep 2025: One paper accepted at NeurIPS 2025
Sep 2025: Uvini’s poster got accepted at American Vacuum Society (AVS) 71, AI/ML for Scientific Discovery session.
Aug 2025: Launching a new project with Salt River Project
Jul 2025: One paper accepted at AIES 2025
Jun 2025: Guangting successfully defended his PhD defense.
Apr 2025: Jamie, Rushir, and John successfully defended their master’s theses. Congrats to all!
Feb 2025: One paper accepted at ICLR workshop (Workshop on Neural Network Weights as a New Data Modality)
Feb 2025: One paper accepted by Results in Applied Mathematics
Feb 2025: One paper accepted by Transactions on Machine Learning Research (TMLR) [Paper]
Jan 2025: Three papers accebed at ICLR 2025
Nov 2024: Launching a new project with Applied Materials Inc. [ASU article][ASU article #2][ASU article #3]
Nov 2024: One paper accepted by Journal of Geophysical Research: Machine Learning and Computation
Oct 2024: Two papers accepted at NeurIPS workshops (Machine Learning and the Physical Sciences and Foundation Models for Science)
Sep 2024: One paper accepted by Materials Today (on the cover! Cover image)
Sep 2024: One paper accepted at NeurIPS 2024
Sep 2024: Gave a talk at DoMSS seminar in the School of Math and Stats (SoMSS) at ASU
Jul 2024: Gave a talk at MINDS seminar in Dept of Math at Postech
Jul 2024: One paper accepted at CIKM 2024 (The first author, Fan Wu, received SIGWEB and NSF Travel Grant!)
May 2024: One paper accepted at ICML 2024 (selected for an Oral presentation)
Apr 2024: Received NSF CAREER award [Award description] [ASU article]
Mar 2024: One paper (Unsupervised Physics-informed Multimodal Learning) accepted by Foundations of Data Science (FoDS)
Mar 2024: One paper accepted at ICLR Workshop (Workshop on AI4DifferentialEquations in Science)
Feb 2024: Selected as one of the first teams for the inaugural ASU AI Innovation Challenge (in collaboration with OpenAI)
Jan 2024: One paper accepted at TheWebConf 2024
Jan 2024: Two papers accepted at ICLR 2024.
Dec 2023: One paper accepted at AAAI 2024.
Dec 2023: Presented two papers (one splotlight) and two workshop papers at NeurIPS 2023.
