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Qianqian Tong

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Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods

Mar 13, 2021
Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

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Federated Nonconvex Sparse Learning

Dec 31, 2020
Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi

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Effective Proximal Methods for Non-convex Non-smooth Regularized Learning

Oct 01, 2020
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

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Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data

Sep 14, 2020
Qianqian Tong, Guannan Liang, Jinbo Bi

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A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging

May 07, 2020
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Elodie Puybareau, Younes Khoudli, Thierry Geraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nunez-Garcia, Oscar Camara, Nicolo Savioli, Pablo Lamata, Jichao Zhao

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Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM

Sep 11, 2019
Qianqian Tong, Guannan Liang, Jinbo Bi

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Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance

Aug 02, 2019
Qianqian Tong, Guannan Liang, Jinbo Bi

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