Education

2023 - Present   Ph.D. Student, Computer Science, Arizona State University     Tempe, AZ

2021   M.S., Electrical & Computer Engineering, University of Washington     Seattle, WA

2019   B.S. with honors, Physics, China’s Top-notch Undergraduate Training Program, Lanzhou University     Lanzhou, China

2017   Exchange Student, University of California, Berkeley     Berkeley, CA

Core courses

ML Security and Fairness / Perception in Robotics / Probability and Random Processes / Convex Optimization / Computer Vision / Statistical Learning / Digital Image Processing / Artificial Intelligence / Natural Language Processing 

Technical Skills

• Programming Languages: Python, C/C++, MATLAB, Verilog/System Verilog, FORTRAN

• Platforms/Frameworks: PyTroch, Tensorflow, OpenCV, FPGA(Quartus), Virtuoso Cadence, Git, LATEX, LabView

Industry Experience

Sept. 2021 – Nov. 2022

Machine Learning Engineer, Specialized in Computational Photography    Ernst Leitz Labs | Leica Camera AG     Bellevue, WA

• Investigate and develop deep learning based method to replace and optimize mobile camera Image Signal Processor (ISP) pipeline

• Participate in Leitz Looks Engine project: develop image rendering engine and depth estimation algorithms

• Integrate various depth estimation algorithms such as RAFT-Stereo and MiDaS onto next generation Qualcomm Snapdragon chipset, and perform speed/power optimizing and performance profiling

Research Experience

Arizona State University 

Advisor: Xusheng Xiao, Associate Professor

Arizona State University 

Advisor: Chaowei Xiao, Assistant Professor

Adversarial Demonstration Attacks on Large Language Models

∗ Pioneered the analysis of a novel threat model for LLM in-context learning, allowing attacks via demonstration

modifications

∗ Achieved high attack success on leading LLMs, including GPT2-XL and Llama, across multiple tasks

∗ Designed experimental methods to evaluate the quality of attacked samples through linguistic/semantic analysis,

model perplexity, and user analysis. Highlighting the stealthiness of the attack

Information Processing Lab | University of Washington, Seattle  

Advisor: Jenq-Neng Hwang, Professor

Multi-camera Multiple People Tracking, ICCV2021 Workshop

∗ Used FairMOT-based single-camera multi-object tracking algorithm for single camera tracking

∗ Introduced a combined foot point estimation method, which integrated Keypoint-RCNN and statistical method

∗ Applied an association method to generate multi-camera tracking result, which includes three steps, frame-by-frame object association, overall track association and associated tracks merge

∗ The final result ranked third place in track2 and fifth place in track1 among more than seventy participants

Pose-Flow Multi-Object Tracking and Human Pose Estimation

∗ Developed Joint-Flow: an offline human pose estimation and tracking method combined temporal information

∗ Proposed a tri-branch architecture, contains two single frame human pose estimation branches, top-down and bottom-up, and a joint-flow branch

∗ Achieved great performance on PoseTrack dataset as 78.70 mAP and 63.57 MOTA

Earlier Research Experiences in Physics Domain

Undergraduate Thesis | Electronic Materials Lab | Lanzhou University 

Advisor: Deyan He, Professor

Application of MOF based metal oxide & sulfide in energy storage

∗ Explored a three-in-one method using Zeolitic Imidazolate Frameworks-67 as the precursor to synthesize oxide, sulfide and carbide as electrode materials, and reported excellent electrochemical performance

Functional Materials Lab | Lanzhou University 

Advisor: Jiachi Zhang, Professor

Persistence luminescence of bi-phase & tri-phase solid solution

∗ Synthesized high-quality bi-phase and tri-phase solid solutions, and revealed deep-trap level and weakened afterglow Optical information storage materials in optical logic devices

∗ Revealed a good read-in ability, high read-out stability of LuAG under different excitation conditions, and designed several optical logic gates based on that material

Plasma & Metal Laboratory | Chinese Academy of Sciences 

Advisor: Guangan Zhang, Professor

Controllable dispersion of Cu and Ni nanoparticles in lubricating oil

∗ Investigated the influence of surface modification on the dispersion of nanoparticles in lubricating oil

Honors & Awards

• 3rd place in Multi-camera Multiple People Tracking Challenge Camera View Track, ICCV 2021 Workshop    2021

• Excellent students graduated with highest honors(top 5% in Lanzhou University)    2019

• Excellent undergraduate theses of Lanzhou University (top 5% in Lanzhou University)    2019

• Outstanding student leaders (top 2% in Cuiying Honors College with excellent leadership)    2017

• Academic scholarship for outstanding students (top 10% with outstanding academic performance)    2017

• Selected to China’s Top-notch Undergraduate Training Program    2016-2019