Invited to review for ICLR 2027!
I reviewed for the International Conference on Learning Representations in the 2025 and 2026 cycles.
I reviewed for the International Conference on Learning Representations in the 2025 and 2026 cycles.
I am in the Systems Engineering Program, working with Professor Fengqi You on physical intelligence for materials processing, starting with initiated chemical vapor deposition coupled with liquid crystals.
DRIFT conditions recurrent diffusion-based trajectory generation on both the target and the local LiDAR geometry.
I thank my advisor, Professor Jingcheng Wang, for six years of guidance, and my labmates for the arguments and the company.
I reviewed for ICML, the NeurIPS Position Paper Track, and the AAAI Main Technical and AI for Social Impact tracks.
SPTO trains a probabilistic electricity-cost forecast through the water-supply schedule it induces.
Lag-penalty attention and posterior error correction reduce the delayed response in daily urban water-demand forecasting.
CritiCoder separates the pressure response to observed inputs from the residual variation caused by unmeasured disturbances.