a. Jia Li, Mingqing Xiao, Cong Fang, Yue Dai, Chao Xu, and Zhouchen Lin, Training Deep Neural Networks by Lifted Proximal Operator Machines, IEEE Trans. Pattern Analysis and Machine Intelligence, accepted.
b. Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, and Shuicheng Yan, Tensor Low-rank Representation for Data Recovery and Clustering, IEEE Trans. Pattern Analysis and Machine Intelligence, accepted.
c. Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, and Zhouchen Lin, Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning, IEEE Trans. Pattern Analysis and Machine Intelligence, accepted.
d. Xinbang Zhang, Jianlong Chang, Yiwen Guo, Gaofeng Meng, Zhouchen Lin, Shiming Xiang, and Chunhong Pan, DATA: Differentiable ArchiTecture Approximation with Distribution Guided Sampling, IEEE Trans. Pattern Analysis and Machine Intelligence, accepted.
