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π From September 2022, Haiyang started his Ph.D. degree in computer software and theory in School of Computer Science of Peking University.
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π Haiyang received his B.E degree from School of Computer Science in Northwestern Polytechnical University in June 2022.
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π± My research interests lie in agents based on large models (LLMs/MLMs). Specifically, I am interested in:
- π The integration of LMs with APIs (tools).
- π The software engineering challenges associated with the integration.
- π± The applications of LMs on edge devices.
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π My research group primarily focuses on system software, including machine learning systems, serverless computing, web systems, software engineering, and etc. In my first year of Ph.D., I studied anomaly detection, federated learning, inference optimization for LLMs in the cloud, etc.
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π Throughout my studies from system software to deep learning, I have gained knowledge in various areas including methods and applications of natural language processing, retrieval systems, data analysis and mining, acceleration, and application of machine learning systems.
- π My introduction at here.
- RUCAIBox/SimpleDeepSearcher - SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis (1 day ago)
- gta0804/MASS - Offical implementation of MASS: Multi-Agent Simulation Scaling via Investor Behavior Modeling (1 week ago)
- morgen52/webanns - (1 week ago)
- MCG-NJU/NeuralSolver - [ICML 2025] Differentiable Solver Search for Fast Diffusion Sampling (2 weeks ago)
- LehengTHU/AlphaRec - [ICLR 2025 Oral π] The implementation of paper "Language Representations Can be What Recommenders Need: Findings and Potentials" (3 weeks ago)