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Ning Gu

Personalized Graph Signal Processing for Collaborative Filtering

Feb 04, 2023
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu

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* Accepted by WWW 2023, 9 pages

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CL4CTR: A Contrastive Learning Framework for CTR Prediction

Dec 01, 2022
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

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* WSDM 2023

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Parameter-free Dynamic Graph Embedding for Link Prediction

Oct 15, 2022
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu

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* 19 pages, 9 figures, 13 tables, Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022)

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Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

Jun 10, 2021
Xindi Hu, Limin Wang, Xin Yang, Xu Zhou, Wufeng Xue, Yan Cao, Shengfeng Liu, Yuhao Huang, Shuangping Guo, Ning Shang, Dong Ni, Ning Gu

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* Accepted by IEEE Journal of Biomedical and Health Informatics. 14 pages, 10 figures and 10 tables

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A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

May 02, 2021
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang

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* IEEE Transactions on Multimedia

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