About Me
I'm a computer science researcher pursuing my Master's at Johns Hopkins University, with a focus on computer
vision and
deep learning. My passion lies in developing innovative solutions for visual foundation models, object
detection, and
model compression. With a background in software engineering from Beijing Jiaotong University and
internships at tech
companies like OPPO and Sense Technology, I blend theoretical knowledge with practical experience.
I'm driven by the challenge of bridging academic research with real-world applications,
always
seeking to push the boundaries of what's possible in artificial intelligence.
Education
- M.S. in Computer Science, Johns Hopkins University, 2024-2025 (Expected)
- B.Eng. in Software Engineering, Beijing Jiaotong University, 2019-2023
Research Interests
Computer Vision, Visual Foundation Models, Object Detection, Segmentation, Diffusion Models, Model
Compression
Publications
Chen, J., et al. (2024). Adaptive quantization with mixed-precision based on
low-cost proxy. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP). IEEE.
Research Experience
Large decision-making model based on ODT
Dec 2023 - Jan 2024
Constructing a multimodal generalized decision-making large model using Online Decision Transformer,
Multi-gate Mixture-of-Experts, and RL techniques.
Detection of extremely small targets under rain and fog
Oct 2023 - Jan 2024
Investigating YOLO, DETR, Dehazing, and Diffusion Model for small target detection in adverse weather
conditions.
Efficient Adaptive Quantization with Mixed-Precision based on Low-Cost Proxy
Aug 2023 - Oct 2023
Developed a method using Hessian matrix trace for layer sensitivity determination and Pareto frontier
approach for automated bit-width selection in mixed-precision quantization.
Professional Experience
Algorithm Engineer, Huizhi Square Technology Co., Ltd
Jul 2023 - Oct 2023
Researched SAM-related literature and deployed SAM models using quantitative techniques.
Deep Learning Intern, OPPO Communication Co., Ltd.
Nov 2022 - Jan 2022
Researched model compression techniques and conducted model accuracy and speed testing.
Computer Vision Algorithm Intern, Sense Technology Co., Ltd.
Sep 2022 - Nov 2023
Developed computer vision algorithms for motion capture and distance estimation using deep learning
techniques.
Honors & Awards
- Third Prize, 2023 Beijing Big Data Skills Competition (Oct 2023)
- Outstanding Undergraduate Thesis, Beijing Jiaotong University (Jun 2023)
- 4th Place, 4th International Competition on Human Identification at a Distance (May 2023)
Technical Skills
Python, PyTorch, ONNX, TensorRT