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cs.LG2025
Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training
Chuan He, Zhanwang Deng, Zhaosong Lu
Neural network (NN) training is inherently a large-scale matrix optimization problem, yet the matrix structure of NN parameters has long been overlooked. Recently, the optimizer Mu…
cs.LG2025
FOUNDv2: Learning Unified User Quantized Tokenizers for User Representation
Chuan He, Yang Chen, Bin Dou +10
User representation learning serves as a fundamental pillar for personalized services on large-scale web platforms. Despite its importance, conventional continuous embedding method…