Zhuanghua Liu

According to our database, Zhuanghua Liu authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Incremental Gauss-Newton Methods with Superlinear Convergence Rates.

Zhiling Zhou, Zhuanghua Liu, Chengchang Liu, Luo Luo

J. Optim. Theory Appl., June, 2026

Zeroth-Order Nonconvex Nonsmooth Optimization with Heavy-Tailed Noise.

Zhuanghua Liu, Luo Luo

CoRR, May, 2026

Near-Optimal Decentralized Stochastic Nonconvex Optimization with Heavy-Tailed Noise.

Menglian Wang, Zhuanghua Liu, Luo Luo

CoRR, January, 2026

Visibility-Constrained Vision-Based Air-to-Air Tracking and Control for Noncooperative UAVs With Unknown Maneuvers.

Bingjin Liu, Zhuanghua Liu, Yi Huang, Jian Sun

IEEE Trans. Aerosp. Electron. Syst., 2026

2025

Dimensionality reduction algorithm of spatial-domain steganalytic features based on PCA and equal interval division.

Xiangyuan Gu, Xiaoming Li, Zhuanghua Liu, Yi Lv

Multim. Tools Appl., October, 2025

Stochastic Bilevel Optimization with Heavy-Tailed Noise.

Zhuanghua Liu, Luo Luo

CoRR, September, 2025

2024

Differentiable Cluster Graph Neural Network.

Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee

CoRR, 2024

Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization.

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization.

Zhuanghua Liu, Cheng Chen, Luo Luo, Bryan Kian Hsiang Low

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates.

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decentralized Sum-of-Nonconvex Optimization.

Zhuanghua Liu, Bryan Kian Hsiang Low

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization.

Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Towards Sharper First-Order Adversary with Quantized Gradients.

Zhuanghua Liu, Ivor W. Tsang

CoRR, 2020

2018

Doubly Approximate Nearest Neighbor Classification.

Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Approximate Conditional Gradient Descent on Multi-Class Classification.

Zhuanghua Liu, Ivor W. Tsang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017