News

[2026.08] SERVICE Accepted the invitation to serve as a reviewer for ICLR 2027.

[2026.08] PAPER HP-JEPA, our work on multi-resolution graph predictive learning, is available on arXiv. [PDF]

[2026.06] SERVICE Serving as a reviewer for Transactions on Machine Learning Research (TMLR).

[2026.06–07] GROUP Mentored AI4Science projects in the AI3 REU program at Stony Brook University.

[2026.06] PAPER Our paper on generative backmapping appeared in Computer Physics Communications.

[2026.05] PAPER Our preprint on test-time adaptation for time-series forecasting is available on arXiv. [PDF]

[2026.05] AWARD Recognized as a Gold Reviewer at ICML 2026 for the quality of submitted reviews.

[2026.01] PAPER One paper on 3D molecular generation accepted to ICLR 2026. [arXiv]

[2026.01] TEACHING Taught AMS 361: Applied Calculus IV at Stony Brook University.

[2025.10] PAPER Our preprint on interpretable neural operators and hidden physical dynamics is available on arXiv. [PDF]

[2025.08] PAPER Three papers accepted to NYSDS 2025 (one oral and two posters): Hamiltonian learning, physics-informed neural networks, and active learning. [arXiv]

[2025.07] PAPER RL-QESA presented as a poster at AI for Math @ ICML 2025.

[2025.06] PAPER APOD accepted to the Assessing World Models Workshop @ ICML 2025.

[2025.06] PAPER Our work on Dynamic Schwartz–Fourier Neural Operators published in TMLR.

[2025.05] PAPER Our preprint on velocity-inferred Hamiltonian neural networks is available on arXiv. [PDF]

[2025.05] PAPER Kolmogorov–Arnold Representation for Symplectic Learning accepted to IJCNN 2025. Co-first author and project lead. [arXiv]

[2025.04] PAPER Our preprint on the impact of move schemes on simulated annealing is available on arXiv. [PDF]

[2025.01] PAPER Our work on discretization mismatch in neural operators accepted to ICLR 2025.

[2024.10] PAPER Our work on Coordinate Transform Fourier Neural Operators published in TMLR.