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Dawei Li

3 papers indexed

arxivmath.OCcs.AIcs.LG2026-07-23

Barzilai-Borwein Fails Superlinear Convergence on an Open Set of Quadratics for Every Dimension $n\geq 4$

Dawei Li, Xiaotian Jiang, Mingyi Hong

Barzilai--Borwein (BB) method has shown strong practical performance in continuous optimization, yet its convergence dynamics remains poorly understood. In particular, a central unresolved question is whether BB converges superlinearly for almost every strictly convex quadratic p…

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arxivcs.LGcs.CL2026-07-01

Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

Zijian Zhang, Rizhen Hu, Athanasios Glentis, Dawei Li, Chung-Yiu Yau, Hongzhou Lin, et al.

Reinforcement learning (RL) has become a central component of post-training large language models (LLMs), yet little is understood about how RL adaptation is distributed across transformer layers. Existing approaches typically update all model parameters uniformly, implicitly ass…

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crossrefSystems2025-12-04Cited by 1

Are Neural Networks Better than Machine Learning? A Comparative Study for Travel Mode Predictions

Tongkai Zhang, Cheng-Jie Jin, Yuchen Song, Dawei Li

Predicting how people choose their travel modes accurately is important in the transportation field. Machine learning (ML) and neural networks (NNs) have gradually become popular in recent years. However, which is better is seldom discussed in previous studies. Therefore, we coll…

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