Practical approach to asynchronous multivariate time series anomaly detection and localization A Abdulaal, Z Liu, T Lancewicki Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 255 | 2021 |
DeepPROTACs is a deep learning-based targeted degradation predictor for PROTACs F Li, Q Hu, X Zhang, R Sun, Z Liu, S Wu, S Tian, X Ma, Z Dai, X Yang, ... Nature communications 13 (1), 7133, 2022 | 66 | 2022 |
Approximate conditional gradient descent on multi-class classification Z Liu, I Tsang Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 5 | 2017 |
Differentiable Cluster Graph Neural Network Y Dong, MH Dupty, L Deng, Z Liu, YL Goh, WS Lee arXiv preprint arXiv:2405.16185, 2024 | 4 | 2024 |
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates Z Liu, L Luo, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14097 …, 2024 | 3 | 2024 |
Doubly approximate nearest neighbor classification W Liu, Z Liu, I Tsang, W Zhang, X Lin Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 3 | 2018 |
Incremental Gauss--Newton Methods with Superlinear Convergence Rates Z Zhou, Z Liu, C Liu, L Luo arXiv preprint arXiv:2407.03195, 2024 | 1 | 2024 |
Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization Z Liu, C Chen, L Luo, BKH Low Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
Decentralized Sum-of-Nonconvex Optimization Z Liu, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14088 …, 2024 | | 2024 |
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization Z Liu, L Luo, BKH Low The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
Towards Sharper First-Order Adversary with Quantized Gradients Z Liu, IW Tsang arXiv preprint arXiv:2002.02372, 2020 | | 2020 |