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https://github.com/caesar0301/caesar0301


https://github.com/caesar0301/caesar0301

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## 📰 Latest Updates

- ✨ [Oct 2025] Start working on CogentMem for trustable and evolving AI system.
- 🤖 [Jul 2025] Launched a personal academic research agent: [alithia](https://github.com/caesar0301/alithia)

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## 👋 Hi, I'm Xiaming Chen

An independent researcher focusing on **cognitive computation**, **reasoning systems**, and **multi-agent systems**. I enjoy bridging neural and symbolic AI, and researching on the fundamental mechanisms of intelligence such as memorization, reasoning, continual learning etc. 📚 Also writer of [blogs](https://www.xiaming.site), [papers](https://scholar.google.com/citations?user=9GzdwPEAAAAJ), and a [Ph.D. dissertation](https://github.com/caesar0301/phd-dissertation).

## 🛠️ Featured Projects & Contributions

- 🧠 [**cogents**](https://www.xiaming.site/2025/08/30/project-cogents/): Towards a cognitive agentic AI system with modular design.

- 🧱 [**treelib**](https://github.com/caesar0301/treelib): Efficient, pure Python implementation of tree data structures—widely used for hierarchical modeling and algorithmic workflows.

- 🔗 [**graphsim**](https://github.com/caesar0301/graphsim): A collection of graph similarity algorithms built on NetworkX for graph mining and structural comparisons.

- 🧵 [**http-sniffer**](https://github.com/caesar0301/http-sniffer): Multi-threaded PCAP analyzer that extracts HTTP headers and TCP flow metadata into JSON—ideal for offline traffic inspection.

- 📦 [**pkt2flow**](https://github.com/caesar0301/pkt2flow): Lightweight tool to split packet captures into 4-tuple flow-level files—cross-platform, minimalistic, and reassembly-free.

- 🗺️ [**movr**](https://github.com/caesar0301/movr): R package for analyzing and visualizing spatio-temporal human mobility patterns with transformation and visualization utilities.

- 🌐 [**s2g**](https://github.com/caesar0301/s2g): Converts shapefiles into graph structures using NetworkX—bridging GIS data with network analysis libraries.

## 🌐 Community & Collaboration

- 🧪 Collaborating with the [λCogLab](https://github.com/lacogitolab) research group and [SWCLOS](https://github.com/SWCLOS) community.
- 🤝 Initiator of the [Awesome Data](https://github.com/awesomedata) community. 👉 Join the conversation on [Slack](https://awesomedataworld.slack.com).