- [21] Zhaoqiang Liu and Jonathan Scarlett , The generalized Lasso with nonlinear observations and generative priors, Conference on Neural Information Processing Systems (NeurIPS), Dec 2020.
- [22] Zhaoqiang Liu , Selwyn Gomes , Avtansh Tiwari , and Jonathan Scarlett , Sample complexity bounds for 1-bit compressive sensing and binary stable embeddings with generative priors, International Conference on Machine Learning (ICML), Jul 2020.
- [23] Zhaoqiang Liu and Jonathan Scarlett , Information-theoretic lower bounds for compressive sensing with generative models, IEEE Journal on Selected Areas in Information Theory, Mar 2020.
- [24] Zhaoqiang Liu and Vincent Tan , The informativeness of k-means for learning mixture models, IEEE Transactions on Information Theory, Nov 2019.
- [25] Zhaoqiang Liu and Vincent Tan , Rank-one NMF-based initialization for NMF and relative error bounds under a geometric assumption, IEEE Transactions on Signal Processing, Sep 2017.
刘昭强 (教授)
教授 博士生导师
主要任职：教授
性别：男
学历：博士研究生毕业
学位：哲学博士学位
入职时间：2024-01-09
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