Zhuanghua Liu

According to our database1, Zhuanghua Liu authored at least 10 papers between 2017 and 2024.

Collaborative distances:

Timeline

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2024
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Links

On csauthors.net:

Bibliography

2024
Incremental Gauss-Newton Methods with Superlinear Convergence Rates.
CoRR, 2024

Differentiable Cluster Graph Neural Network.
CoRR, 2024

Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decentralized Sum-of-Nonconvex Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization.
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.
CoRR, 2020

2018
Doubly Approximate Nearest Neighbor Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Approximate Conditional Gradient Descent on Multi-Class Classification.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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