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Machine learning researcher with publications in large language models, mixture-of-experts, and recommender systems.
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Public profiles and publication indexes link Xingyan Bin to ByteDance research work and Tsinghua University, with papers in recommendation, retrieval, MoE models, and LLM pre-training/quantization.
Profile status: updated
Machine learning researcher with publications in large language models, mixture-of-experts, and recommender systems.
Xingyan Bin is a machine learning researcher whose public OpenReview profile lists prior research employment at ByteDance Inc. and study at Tsinghua University. Publicly indexed work on OpenReview and DBLP spans large language model pre-training and quantization, mixture-of-experts methods, and large-scale recommendation and retrieval systems, including ICLR 2025, KDD 2024, CIKM 2021, and authorship on the ByteDance Seed Seed1.5-Thinking report.