Boran Zhao — accepted AI-conference papers

2026

FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection

Jin Cui, Boran Zhao, Jiajun Xu, Jiaqi Guo, Shuo Guan, Pengju Ren

CVPR 2026

Coreset selection compresses large datasets into compact, representative subsets, reducing the energy and computational burden of training deep neural networks. Existing methods are either: (i) DNN-based, which are inherently coupled with network-specific parameters, inevitably introducing architect

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2026

“The Whole Is Greater than the Sum of Its Parts”: A Compatibility-Aware Multi-Teacher CoT Distillation Framework

Jin Cui, Jiaqi Guo, Ruixuan Yang, Jiayi Lu, Jiepeng Zhou, Jiajun Xu +3

IJCAI 2026

Chain-of-Thought (CoT) reasoning empowers Large Language Models (LLMs) with remarkable capabilities but typically requires prohibitive parameter scales. CoT distillation has emerged as a promising paradigm to transfer reasoning prowess into compact Student Models (SLMs), but existing approaches ofte

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