At present I am a fifth-year Ph.D. candidate at OS Lab, Peking University, and I major in Software Engineering. I research in the field of Web ecosystem and deep learning infrastructures, advised by Prof Yun Ma, Xuanzhe Liu, and Gang Huang.
I was a Teaching Assistant (TA) for Introduction to Computing (A) from 2018 to 2022. I was also a TA for Scientific Paper Writing at 2021.
I was granted Award for Scientific Research by Peking University at 2019, and Award for Academic Excellence by Peking University at 2021.
I enrolled in the EECS school of Peking University at 2014, and got my bachelor degree of computer science and technology at 2018.
I was the vice precident of Students' Computer Association at School of EECS at 2016, during which I helped undertake the 2016 ACM-ICPC Asia Beijing Regional Contest.
I was granted Merit Student Award and Founder Scholarship by Peking University at 2016.
I designed a heterogeneous DNN engine for Web apps, named WEngine, which uses pipeline parallelism to optimize DNN inference throughput in Web browsers. I modified TensorFlow.js to implement WEngine, including programming about WebGL, WebAssembly and Web worker.
This work has been published in MobiSys 2022.
We evaluated the performance of different deep learning inference frameworks for Web apps. I implemented a performance measurement tool, which can control the experiment procedure and collect the measurement results.
This work has been published in WWW 2019.
I conducted an empirical study about embedded Web pages in mobile applications. I implemented an automated testing tool targeting the embedded Web pages in mobile apps. Then I revealed the prevalence, characteristics, and performance of the embedded Web pages.
This work has been published in IEEE TMC 2021.