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2020 – today
- 2024
[c6]Zhuanghua Liu, Bryan Kian Hsiang Low:
Decentralized Sum-of-Nonconvex Optimization. AAAI 2024: 14088-14096- [c5]Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low:
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates. AAAI 2024: 14097-14105 - [c4]Zhuanghua Liu, Cheng Chen, Luo Luo, Bryan Kian Hsiang Low:
Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization. ICML 2024 - [i5]Zhuanghua Liu, Bryan Kian Hsiang Low:
Decentralized Sum-of-Nonconvex Optimization. CoRR abs/2402.02356 (2024) - [i4]Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low:
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates. CoRR abs/2402.02359 (2024) - [i3]Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong Liang Goh, Wee Sun Lee:
Differentiable Cluster Graph Neural Network. CoRR abs/2405.16185 (2024) - [i2]Zhiling Zhou, Zhuanghua Liu, Chengchang Liu, Luo Luo:
Incremental Gauss-Newton Methods with Superlinear Convergence Rates. CoRR abs/2407.03195 (2024) - 2021
- [c3]Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki:
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. KDD 2021: 2485-2494 - 2020
- [i1]Zhuanghua Liu, Ivor W. Tsang:
Towards Sharper First-Order Adversary with Quantized Gradients. CoRR abs/2002.02372 (2020)
2010 – 2019
- 2018
- [c2]Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang
, Wenjie Zhang, Xuemin Lin:
Doubly Approximate Nearest Neighbor Classification. AAAI 2018: 3683-3690 - 2017
- [c1]Zhuanghua Liu, Ivor W. Tsang:
Approximate Conditional Gradient Descent on Multi-Class Classification. AAAI 2017: 2301-2307
Coauthor Index
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