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Ph.D. in Computer Science

University of Virginia, Charlottesville, VA

Computer Science

• Machine Learning
• Deep Learning
• Natural Language Processing

Bachlor of Science

Tongji University, Shanghai, China

Compter Science and Technology

• Computer Architecture
• Data Structures
• Computer Networks

AI Model Optimization Intern

Alibaba Cloud

Responsible for GPU fault prediction, AI Agents research, and other related tasks.

• AI Agents
• GPU fault prediction

Research Assistant

Shanghai Research Institute for Intelligent Autonomous Systems

Assisted Prof. Zhongpan Zhu in preparing teaching materials on the topic of bionic robots. Draft a patent under the instruction of the professor - Algorithm of Generating Heat Map for Driver's Attention

• RA
• Patent Drafting

2nd Prize (National Level) in 2022 Embedded System Design Invitational Contest (Intel Cup)

National College Student Electronic Design Competition Organizing Committee

Bronze Medal in China International College Students' Innovation Competition(CICSIC)

Tongji University

Alzheimer's Disease Early Diagnosis Based on Resting-State Dynamic Functional Connectivity

Association for Computing Machinery

Functional magnetic resonance imaging (fMRI) technology has been widely used in the diagnosis of Alzheimer's disease, but there are some problems such as high data dimension and unclear characteristics. The nonlinear complex network of different brain regions based on the Lyapunov exponents and approximate entropy are extracted in this work.

A Music Labeling Model Based on Traditional Chinese Music Characteristics for Emotional Regulation

Association for Computing Machinery

This paper aims to use feature engineering to find effective music features which are effective for classifying different types of music and thus to try to provide an automatic recognition framework for building music libraries that can be used for mood regulation and music therapy.

Conditional Domain Adaptation Based on Initial Distribution Discrepancy for EEG Emotion Recognition

Springer Nature Switzerland

How to integrate data in different feature spaces and distributions is a research hotspot in EEG-based emotion recognition. A novel source-domain adaptation strategy based on initial distribution differences for EEG emotion recognition is proposed, which selects several source domains that are most similar to the target domain for domain adaptation.

Comparison Of Different Machine Learning Methods Applied To Obesity Classification

IEEE

The article tries to find a model that can predict obesity and provides people with the information of how to avoid overweight. To be more specific, this article applied dimension reduction to the data set to simplify the data and tried to Figure out a most decisive feature of obesity through Principal Component Analysis (PCA) based on the data set.

BrainBeats

Design and implement a portable single-channel EEG fatigue detection device.

• EEG Signal Processing
• Fatigue Detection