🔬 Research Experience

School of Statistics, Renmin University of China, Research Intern

2025.02.11 – 2025.05.16

Supervisor: Prof. Feng Zhou

Projects:

• TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding: Developed a novel framework that accelerates Transformer temporal point process sampling by adapting speculative decoding techniques from language models. Experiments on both synthetic and real datasets demonstrate that TPP-SD produces samples from identical distributions as standard autoregressive methods, but with 2-6 $\times$ speedup.

GSAI, Renmin University of China, Research Intern

2024.03.08 – 2025.01.21

Supervisor: Prof. Hongteng Xu

Projects:

• USPTO-LLM (WWW 2025): Constructed the first chemical reaction dataset (USPTO-LLM, 247K entries) containing abundant reaction condition information by using LLM APIs to extract data from the USPTO patent database. Validated the dataset quality on graph-based and sequence-based retrosynthesis models. The dataset is open-sourced at https://zenodo.org/records/14396156.

💼 Industry Experience

Intuitive Fosun, R&D Intern

2025.01.15 – 2025.02.15

• Leveraged OCR to extract high-frequency operating parameters from the transducer screen of the daVinci surgical robot. Processed video frames using OpenCV to minimize noise from parameter fluctuations, achieving an OCR accuracy of 99%.

• Trained a single-layer Transformer Encoder to extract and classify key information from 2,100 after-sales feedbacks of daVinci surgical robots into 11 categories, which greatly helped after-sales engineers identify issues and provide solutions.