Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
NeurIPS 2021, Neural Information Processing Systems
Publications
[Google Schorlar]
* Equal contribution
Revisiting Time Series Outlier Detection: Definitions and Benchmarks
Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Hu
NeurIPS 2021, Neural Information Processing Systems, Datasets and Benchmarks Track
[PDF] | [Code]
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
ICML 2021, International Conference on Machine Learning
[PDF] | [Code] | [Demo] | [Slide]
AutoAD: Automated Anomaly Detection via Curiosity-guided Search and Self-imitation Learning
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
TNNLS 2021, IEEE Transactions on Neural Networks and Learning Systems
[PDF]
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
ICLR 2021, International Conference on Learning Representations
[PDF] | [Slide] | [Code]
AutoOD: Neural Architecture Search for Outlier Detection
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, and Xia Hu
ICDE 2021, IEEE International Conference on Data Engineering
[PDF]
TODS: An Automated Time Series Outlier Detection System
Kwei-Herng Lai*, Daochen Zha*, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Mingyang Wan, Diego Martinez, Xia Hu
AAAI 2021, AAAI Conference on Artificial Intelligence, demo track
[Paper] | [Code] | [Video]
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, and Xia Hu
NeurIPS 2020, Neural Information Processing Systems
[PDF] | [Code]
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, and Xia Hu
ICDM 2020, IEEE International Conference on Data Mining
[PDF] | [Slide] | [Code]
PolicyGNN: Aggregation Optimization for Graph Neural Networks
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, and Xia Hu
KDD 2020, ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF]
RLCard: A Platform for Reinforcement Learning in Card Games
Daochen Zha*, Kwei-Herng Lai*, Songyi Huang∗, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, and Xia Hu
IJCAI 2020, International Joint Conference on Artificial Intelligence, demo track
[PDF] | [Code] | [Video]
Dual Policy Distillation
Daochen Zha*, Kwei-Herng Lai* Yuening Li, and Xia Hu
IJCAI 2020, International Joint Conference on Artificial Intelligence
[PDF] | [Code]
Multi-Channel Graph Neural Networks
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, and Xia Hu
IJCAI 2020, International Joint Conference on Artificial Intelligence
[PDF]
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning
Yuening Li, Daochen Zha, Praveen Venugopal, Na Zou, and Xia Hu
WWW 2020 Web Conference, demo track
[PDF] | [Code]
RLCard: A Toolkit for Reinforcement Learning in Card Games
Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, and Xia Hu
AAAI-Workshop 2020, AAAI-20 Workshop on Reinforcement Learning in Games
[PDF] | [Code] | [Video]