| Oct 01, 2026 | One pre-print Exploring More, Reasoning Better: Stepwise Risk-Sensitive GRPO for Diffusion Language Models has been posted on arXiv Our work has been accepted to the NonAR-LM Workshop at COLM 2026. See you soon at San Francisco, CA |
| Sep 24, 2026 | Our paper Test-Time Scaling for Diffusion Language Models with Frequency-Aware Remasking has been accepted to the Conference on Neural Information Processing Systems (NeurIPS) 2026 See you in December in Sydney, Australia |
| Aug 21, 2026 | I have wrapped up my summer internship with the Supply Chain Optimization Technologies (SCOT) team at Amazon. It has been an unforgettable experience working alongside such an amazing team, and I am deeply grateful to the colleagues who supported me throughout this wonderful journey! Our project paper has been accepted to the GenAIECommerce Workshop at RecSys 2026 |
| May 14, 2026 | I have obtained the M.S. in Computer Science degree at Indiana University! |
| Apr 30, 2026 | Our papers On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference and Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation have been accepted to the International Conference on Machine Learning (ICML) 2026 See you in July at Seoul, Korea |
| Mar 27, 2026 | One pre-print The Load Management Paradox: Correcting the Healthy-Worker Survivor Effect in NBA Injury Modeling has been posted on arXiv |
| Dec 04, 2025 | One pre-print On the Limits of Test-Time Compute: Sequential Reward Filtering for Better Inference has been posted on arXiv |
| Sep 25, 2025 | I’m excited to share that I’ve been admitted to the M.S. in Computer Science program at Indiana University. One more degree to pick up along the Ph.D. journey! |
| Aug 04, 2025 | One pre-print Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation has been posted on arXiv |
| May 06, 2025 | Our paper Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation has been accepted to the conference Uncertainty in Artificial Intelligence 2025. See you in July at Rio de Janeiro, Brazil |
| May 23, 2024 | I have passed both Theory and Data Analysis qualification exams of the Statistical Science PhD program at Department of Statistics, College of Arts and Sciences in Indiana University, and will advance to candidacy soon! |
| Dec 20, 2023 | I have completed the Computer Science PhD minor requirement at Luddy School of Informatics, Computing, and Engineering in Indiana University! |