"一沧海,一蜉蝣,一生没时间懵懂。不放手,不罢休,像猛兽冲突牢笼。"
I'm a Grade Third student of WuHan University, pursuing a bachelor's degree.
New Research home page is under construct.
I am dedicated to building efficient and reliable distributed deep learning frameworks, with a strong interest in areas such as LLM-based reinforcement learning, agent systems, on-device optimization, and edge computing. My current research focuses on the following areas:
- Federated Learning: Addressing the challenges of collaborative training on heterogeneous datasets, Tackling the problem of parameter misalignment across local LLMs in federated settings.
- Deep Learning Frameworks: Developing high-performance and reliable distributed training and inference systems.
- Edge Computing & On-Device LLM Optimization: Enhancing the efficiency of LLM inference on edge devices and resource-constrained environments.
In addition to my research interests, I am also deeply passionate about software development. I have a strong enthusiasm for distributed system architecture and middleware optimization. I have hands-on experience designing and optimizing production-level systems that handle tens of millions of daily requests. My personal interests include:
- Efficient Distributed System Architecture: Designing modern, cloud-native systems capable of supporting high concurrency and scalability.
- System Framework Design: Building highly decoupled system frameworks that provide robust, developer-friendly services for third-party integration. I also have extensive project experience in mobile, client-side, and full-stack web development, covering both frontend and backend technologies.
Lastly, I have a strong interest in reverse engineering and possess extensive practical experience in the field. This includes:
- JS Obfuscation Reversal: Analyzing and deobfuscating complex obfuscated web JS code.
- Android Native Code Recovery: Reversing obfuscated native libraries and restoring algorithm logic.
- Network Traffic Analysis: Capturing and analyzing network packets for protocol understanding and debugging.
I’m always happy to connect with anyone interested in my work. Feel free to reach out to me through the following channels:
- epicmocn@gmail.com:For connecting.
- Blog: EpicMoHome
I love the community of open source and try to contribute. Some icons about the tools that I am using, and also recommend to you:
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