Zhuanghua Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Convex Optimization

Approximate Nearest Neighbor

Low Memory Requirements

Convergence Rate

Top Venues

Publications

Zhuanghua Liu, Bryan Kian Hsiang Low
Decentralized Sum-of-Nonconvex Optimization. AAAI (2024)
Zhuanghua Liu, Bryan Kian Hsiang Low
Decentralized Sum-of-Nonconvex Optimization. CoRR (2024)
Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee
Differentiable Cluster Graph Neural Network. CoRR (2024)
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates. CoRR (2024)
Zhiling Zhou, Zhuanghua Liu, Chengchang Liu, Luo Luo
Incremental Gauss-Newton Methods with Superlinear Convergence Rates. CoRR (2024)
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates. AAAI (2024)
Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. KDD (2021)
Zhuanghua Liu, Ivor W. Tsang
Towards Sharper First-Order Adversary with Quantized Gradients. CoRR (2020)
Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin
Doubly Approximate Nearest Neighbor Classification. AAAI (2018)
Zhuanghua Liu, Ivor W. Tsang
Approximate Conditional Gradient Descent on Multi-Class Classification. AAAI (2017)