Latest news:

• I just completed Coursera course "Generative AI with Large Language Models." It illustrated the LLM basics, like transformer, and three stages of the LLM training pipeline: Base model -->  Fine-tuning -->  Reinforcement Learning with Human Feedbacks (RLHF). This course better prepared me in building LLM-based applications.[2023.10.10]

• Finished my periodic internship at Didi Chuxing, the largest ride-hailing company in China [2019.06.18]

• While being there, I helped Didi to establish an accurate, robust, and explainable driver risk prediction system based on drivers' driving behavior profile.

• The system can effectively reduce noise and extract information from the high-frequency mobile phone sensor data 

• For more details, please visit here. 

• I won the most outstanding service award this year! I was awarded by Dr. Klaus Hinkelmann, our former department head. He also gave me his three volumes of Design and Analysis of Experiments as a gift! I feel so encouraged! 😊😊  [2018.10.30]

• My department has seven awards to give on our annual Corporate Partner Conference. I won FIVE of them during my five years of Ph.D. life. 

       - Klaus Hinkelmann Award, Outstanding Service by Graduate Student, Department of Statistics, VT, 2018.

       - Rose Costain Award, Outstanding Citizenship by Graduate Student, Department of Statistics, VT, 2017.

       - Jess C. Arnold Award, Most Outstanding Teaching by Graduate Student, Department of Statistics, VT, 2016.

       - Boyd Harshbarger Award, Most Outstanding First Year Graduate Student (Rank 1/33 in Ph.D. Qualify Exam), VT, 2015. 

       - Raymond H. Myers Award, Most Outstanding First Year Graduate Student in Linear Models and Design of Experiments (Rank 1/33 in Experimental Design), VT, 2015. 

• My 4th annual half marathon, check! I've been running half marathons each year since I start my graduate school. This year, I ran the Hokie half, held at Blacksburg, VA, the town of Virginia Tech.  Let's go, HOKIES! [2018.09.23]

• I just completed "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization", taught by Andrew Ng, on Coursera. With plenty of intuitive illustration, Andrew gives hands-on instructions of state-of-art hyperparameter tuning strategy. This course is the second of the five-course specialization offered by deeplearning.ai. I've completed the 1st and 2nd, and I will continue learning the rest. [2017.09.28]

• In the SAMSI summer workshop on Transportation Statistics held in Duke University, I've won the first-prize in student poster competition. Danni Lu, my academic sister, has won the second-prize.  (Congrats on us :-))  [2017.08.17]

In this poster, I've presented the evaluation of high G-force event on crash risk using SHRP2 NDS data. For more information, please visit my research page. 

• I just finished my summer internship at Microsoft Knowledge and Growth, Risk team. It's a wonderful team to work with. Special thanks to my mentor, Yuting Jia, and manger, Justin Wang, who had offered me tons of guidance. [2017.08.04]

For this summer project, We improved the current fraud detection system's performance using entity profiling with fraud feedback. For more information, please visit my research page.