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Ke Zhang

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term

May 25, 2023
Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang

* 10 pages. Accepted as a conference paper at KDD '23

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Predict NAS Multi-Task by Stacking Ensemble Models using GP-NAS

May 02, 2023
Ke Zhang

* Ranked 1st in CVPR 2022 Track 2 Challenge, GP-NAS, Stacking Model, Ensemble Model

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Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to Chemotherapy

Apr 14, 2023
Neman Abdoli, Ke Zhang, Patrik Gilley, Xuxin Chen, Youkabed Sadri, Theresa C. Thai, Lauren E. Dockery, Kathleen Moore, Robert S. Mannel, Yuchen Qiu

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* For Some modifications and error pruning, we need to withdraw the paper

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DLRover: An Elastic Deep Training Extension with Auto Job Resource Recommendation

Apr 04, 2023
Qinlong Wang, Bo Sang, Haitao Zhang, Mingjie Tang, Ke Zhang

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* 10 pages, and open source system work

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ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation

Jan 12, 2023
Ke Zhang, Xiahai Zhuang

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* 31 pages, 10 figures

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