你好,我是Hello, I am

庞凯琳Kailin Pang

武汉理工大学 · 计算机技术专业硕士研究生 M.Eng. Student in Computer Technology
Wuhan University of Technology

研究图像压缩与高效视觉信息表示,师从 周俊伟教授 ↗。 My research focuses on image compression and efficient visual representation, advised by Prof. Junwei Zhou ↗.

关于我About me

我是武汉理工大学计算机技术专业硕士研究生,目前在周俊伟教授指导下开展图像压缩方向的研究。我关注如何在降低存储与传输成本的同时,保留对人类视觉和智能任务真正重要的信息。

I am a master's student in Computer Technology at Wuhan University of Technology. Under the supervision of Prof. Junwei Zhou, I study image compression and how to preserve information that matters to both human vision and intelligent tasks at lower storage and transmission costs.

除学术研究外,我也关注量化交易与可靠软件系统,通过工程实践积累数据分析、策略实现和系统验证经验。

Beyond academic research, I am interested in quantitative trading and reliable software systems, building practical experience in data analysis, strategy implementation, and system validation.

研究兴趣Research interests

R1

学习式图像压缩Learned Image Compression

探索数据驱动的图像编码、熵建模与重建方法。Exploring data-driven image coding, entropy modeling, and reconstruction.

R2

率失真优化Rate–Distortion Optimization

关注码率、重建质量与感知体验之间的平衡。Studying the balance among bitrate, reconstruction quality, and perception.

R3

高效视觉表征Efficient Visual Representation

关注面向人类与机器视觉任务的紧凑信息表示。Investigating compact representations for human and machine vision.

研究仍在持续推进;论文、实验结果与开源实现将在此更新。This work is ongoing. Publications, experimental results, and open-source implementations will be added here.

工程实践Engineering practice

Quantitative Trading Platform

PandoraTrader 量化交易平台

持续迭代Ongoing

参与期货量化交易平台的策略与工程化开发,围绕价差交易实现百分位与趋势信号、双腿执行、风险控制、状态持久化和桌面监控,并通过离线回归与虚拟交易环境验证关键链路。

Contributing to strategy and engineering development for a futures quantitative trading platform, including percentile and trend signals for spread trading, two-leg execution, risk control, state persistence, desktop monitoring, and validation through offline regression and simulated trading.

  • C++
  • Qt 6
  • CMake
  • CTP
  • SQLite
  • Redis
  • ClickHouse

教育经历Education

2021 — 2025

兰州理工大学Lanzhou University of Technology

数据科学与计算机技术 · 本科B.Eng. studies in Data Science and Computer Technology

保持联系Get in touch

欢迎交流研究与工程实践。Let's talk research and engineering.

欢迎就图像压缩、计算机视觉和量化研究与我交流学习。Feel free to reach out to exchange ideas and learn together about image compression, computer vision, and quantitative research.