Ziquan Liu

About

Hi, I am Ziquan Liu, a 4th year PhD student of computer science at City University of Hong Kong in Video, Image, and Sound Analysis Lab. My research interest is machine learning, including of deep learning and its mathematical interpretation, statistical learning and efficient training and inference. I was born and raised in Anhui province of China. I obtained my Bachelor of Engineering in Information Engineering from Beihang University and secondary Bachelor of Science in Mathematics from the same university, both in 2017.

Contact

Email: ziquanliu2-c@my.cityu.edu.hk

Address: Run Run Shaw Creative Media Center M5001, 18 Tat Hong Avenue, Kowloon, Hong Kong

Service

Reviewer:

ICLR 2021, AAAI 2021, CVPR 2021, ICML 2021, ICCV 2021, NeurIPS 2021


News

  • [Mar 12, 2021]

PRIMAL-GMM code is available at https://github.com/ziquanliu/PRIMAL-GMM!

Preprints

[1] Hui Lan, Ziquan Liu, Janet H. Hsiao, Dan Yu, Antoni B. Chan, "Clustering Hidden Markov Models with Variational Bayesian Hierarchical EM." Submitted to IEEE Transactions on Neural Networks and Learning Systems

[2] Ziquan Liu, Yufei Cui, Antoni B. Chan, "Improve Generalization and Robustness of Neural Networks via Weight Scale Shifting Invariant Regularizations." arXiv preprint, arXiv:2008.02965, 2020

[3] Ziquan Liu, Yufei Cui, Jia Wan, Yu Mao, Antoni B. Chan, "The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization." arXiv preprint, arXiv:2102.03497, 2021.


Publications

[1] Jia Wan, Ziquan Liu, and Antoni B. Chan, "A Generalized Loss Function for Crowd Counting and Localization", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[2] Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue, "Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[3] Ziquan Liu, Lei Yu, Janet H. Hsiao and Antoni B. Chan, "PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models." IEEE Transactions on Pattern Analysis and Machine Intelligence, To Appear 2021

[4] Yufei Cui, Ziquan Liu, Wuguanguan Yao, Qiao Li, Antoni B. Chan, Tei-Wei Kuo, Chun Jason Xue. "Fully Nested Neural Network for Adaptive Compression and Quantization.", IJCAI-PRICAI-2020, Yokohama, 2020

[5] Ziquan Liu, Lei Yu, Janet H. Hsiao and Antoni B. Chan. "Parametric Manifold Learning of Gaussian Mixture Models." Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, 3073-3079, 2019



Teaching

Teaching Assistant at City University of Hong Kong:

CS5489 Machine Learning: Algorithms and Applications, 2019-2020, 2020-2021

CS5486 Intelligent Systems, 2019-2020, 2020-2021