I'm Yu. I'm a materials scientist interested in leveraging fundamental principles of polymer chemistry and physics to design bio-interfacing electronic materials and devices for healthcare applications.

Previously I graduated from Peking University with a B.S. degree in mathematics. I will join New York University as a Courant Instructor starting Fall 2024. I am interested in probability theory, especially random geometry. In particular I have been working on the Schramm-Loewner Evolution, and their connection to the Liouville theory. 9.

2024年10月22日 · In this paper, we propose a challenging benchmark dataset, Multiple Phytoplankton Tracking (MPT), which covers diverse background information and variations in motion during observation.

‪MIT‬ - ‪‪Cited by 87,563‬‬

‪MIT‬ - ‪‪Cited by 41‬‬

Tiancheng Yu (余天呈) yutc [at] mit [dot] edu I am a researcher at Two Sigma. I completed my Ph.D. in 2023 and M.S. in 2020, both at MIT EECS and advised by Prof. Suvrit Sra. I worked on provably robust reinforcement learning (RL) and near-optimal learning in sequential games.

‪Massachusetts Institute of Technology‬ - ‪‪Cited by 415‬‬ - ‪renewable energy‬ - ‪wave forecast‬ - ‪machine learning‬ - ‪time series‬ - ‪advanced controls‬

PhD Student at MIT · Generative AI & Computer Vision · Experience: Massachusetts Institute of Technology · Education: University of Science and Technology of China · Location: Cambridge · 241...

Ultrafast engineering and Keldysh formalism for dynamics. a) Gauge invariant dynamic equations in superconductors. 3. Superconducting mechanism in magic-angle twisted bilayer graphene …

Tádé joined MIT EECS as a PhD student in 2024, and his current research focus lies in label-free multiphoton microscopy. Prior to joining the Computational Biophotonics Laboratory, he researched the applications of polarisation optics for biomedical imaging and communications.