About me
I am a PhD student in the Department of Electrical and Computer Engineering at Rutgers, the State University of New Jersey, working with Prof. Anand Sarwate. I earned my Master’s degree in Electronic Engineering and Information Science in 2020, under the supervision of Prof. Bin Liu and my Bachelor’s degree in Information Security in 2017, both from the University of Science and Technology of China(USTC).
My research interests lie in efficient AI (Learning with reject option and Dyna-Style Model-Based RL), Human activity recognition (inductive sensing and WiFi-based recognition) and LLM Collaboration (LLM Route, human–computer interaction).
Publications
Accepted
Pre-print
Internship Experience
On Accuracy of Delay and Extrapolate Method in Online Misalignment Estimation
Position: Research Intern
Location: Bell Lab, USA
Duration: June 2022 - August 2022
Advisor: Carl Nuzman, Shirin Jalali
- We rigorously analyze the accuracy and effectiveness of the classic method “delay and extrapolate” for estimating the misalignment error when applied to the least mean squares (LMS) algorithm.
- Our analysis for mean squared error of filter coefficients made corrections to similar, well-known results in the previous LMS literature. report
Tessutivo: Contextual Interactions on Interactive Fabrics with Inductive Sensing
Position: Research Intern
Location: Dartmouth College, USA
Duration: December 2018 - April 2019
Advisor: Xing-Dong Yang
- Proposed Tessutivo, a contact-based inductive sensing technique for contextual interactions on interactive fabrics.
- Built a prototype containing coils made of conductive thread with maximized sensitivity conducted by a new inductance approximation formula.
Teaching Experience
Role: Teaching Assistant
Institution: Rutgers
Linear Signal and System (Fall 2023, Fall 2024)
Discrete Mathematics (Spring 2022)
Principles of Electrical Engineering (Fall 2021, Fall 2020)
Probability and Random Processes (Spring 2021)
Institution: USTC