Daochen Zha
Cited by
Cited by
Towards deeper graph neural networks with differentiable group normalization
K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu
NeurIPS, 2020
Experience replay optimization
D Zha, KH Lai, K Zhou, X Hu
IJCAI, 2019
Policy-gnn: Aggregation optimization for graph neural networks
KH Lai, D Zha, K Zhou, X Hu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Chaos: An SDN-based moving target defense system
Y Shi, H Zhang, J Wang, F Xiao, J Huang, D Zha, H Hu, F Yan, B Zhao
Security and Communication Networks 2017, 2017
Dual policy distillation
KH Lai, D Zha, Y Li, X Hu
IJCAI, 2020
RLCard: A Platform for Reinforcement Learning in Card Games.
D Zha, KH Lai, S Huang, Y Cao, K Reddy, J Vargas, A Nguyen, R Wei, ...
IJCAI, 5264-5266, 2020
Multi-label dataless text classification with topic modeling
D Zha, C Li
Knowledge and Information Systems 61 (1), 137-160, 2019
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
D Zha, J Xie, W Ma, S Zhang, X Lian, X Hu, J Liu
ICML, 2021
Revisiting Time Series Outlier Detection: Definitions and Benchmarks
KH Lai, D Zha, J Xu, Y Zhao, G Wang, X Hu
NeurIPS, 2021
Pyodds: An end-to-end outlier detection system with automated machine learning
Y Li, D Zha, P Venugopal, N Zou, X Hu
Companion Proceedings of the Web Conference 2020, 153-157, 2020
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
D Zha, KH Lai, M Wan, X Hu
2020 IEEE International Conference on Data Mining (ICDM), 771-780, 2020
TODS: An Automated Time Series Outlier Detection System
KH Lai, D Zha, G Wang, J Xu, Y Zhao, D Kumar, Y Chen, P Zumkhawaka, ...
AAAI, 2020
Multi-channel graph neural networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conferences on Artificial Intelligence, 2020
Dirichlet energy constrained learning for deep graph neural networks
K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu
Advances in Neural Information Processing Systems 34, 2021
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
IEEE Transactions on Neural Networks and Learning Systems, 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
D Zha, W Ma, L Yuan, X Hu, J Liu
ICLR, 2021
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey
M Wan, D Zha, N Liu, N Zou
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Simplifying Deep Reinforcement Learning via Self-Supervision
D Zha, KH Lai, K Zhou, X Hu
arXiv preprint arXiv:2106.05526, 2021
Pyodds: An end-to-end outlier detection system
Y Li, D Zha, N Zou, X Hu
arXiv preprint arXiv:1910.02575, 2019
Interpretable Time-series Representation Learning With Multi-Level Disentanglement
Y Li, Z Chen, D Zha, M Du, D Zhang, H Chen, X Hu
arXiv preprint arXiv:2105.08179, 2021
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