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Qibin Zhao

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Tensor Star Decomposition

Mar 15, 2024
Wuyang Zhou, Yu-Bang Zheng, Qibin Zhao, Danilo Mandic

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Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

Feb 04, 2024
Junhua Zeng, Guoxu Zhou, Chao Li, Zhun Sun, Qibin Zhao

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Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization

Jan 29, 2024
Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao

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Efficient Nonparametric Tensor Decomposition for Binary and Count Data

Jan 15, 2024
Zerui Tao, Toshihisa Tanaka, Qibin Zhao

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EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge

Jan 11, 2024
Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka

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Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond

Sep 13, 2023
Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao

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Semi-supervised multi-view concept decomposition

Jul 03, 2023
Qi Jiang, Guoxu Zhou, Qibin Zhao

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Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion

May 25, 2023
Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao

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SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search

May 24, 2023
Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang

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