I'm a CS graduate student at Beijing Institute of Technology specializing in AI/ML, with focus on Autonomous Agents and World Models. I am also a Research member of the Open Science Community at Cohere Labs and an active contributor to the open-source and open-science community at (GitHub | HuggingFace). Currently, I'm building my first AI startup Lectūra Labs — an AI+Education lab focused on research and development of AI-native tools and models that empower individual learners to master needed self-taught skills. My AI journey began after watching Andrej Karpathy's "Neural Networks - Zero to Hero" series — he has been my role-model/sensei ever since. I weekly practice implementing groundbreaking AI papers & algorithms from first principles, often under compute constrained conditions (i.e gpu poor, training nns on 8gb cpu), you can checkout the repo here: nanoAI Algorithms. I often post about my work on Twitter and Huggingface, stay in touch.
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| AutoAgents: A Framework for Automatic Agent Generation Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi 📄 Paper | 💻 Code | IJCAI 2024 |
Voila: Voice-Language Foundation Models for Real-Time Autonomous Interaction and Voice Role-Play Yemin Shi, Yu Shu, Siwei Dong, Guangyi Liu, Jaward Sesay, Jingwen Li, Zhiting Hu 📄 Paper | 🤗 Models | 💻 Code | 🤗 Demo |
DDODHuman: Dual Decoupling Online Detailed Dynamic Monocular Human Reconstruction based on 3D Gaussian Splatting Yue Yu, Jincong Li, Cheng Wang, Jaward Sesay 📄 Paper |