مقاله‌های دارای تعهدات انتشار عمومی - Haifeng Chenبیشتر بدانید
جای دیگری دردسترس نیست: ۲
Towards inductive and efficient explanations for graph neural networks
D Luo, T Zhao, W Cheng, D Xu, F Han, W Yu, X Liu, H Chen, X Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (8), 5245-5259, 2024
تعهدات: US National Science Foundation
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)
C Zhao, F Chen, X Wu, H Chen, J Zhou
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
تعهدات: US National Science Foundation
جای دیگری دردسترس است: ۵۸
A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data
C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ...
Proceedings of the AAAI conference on artificial intelligence 33 (01), 1409-1416, 2019
تعهدات: US National Science Foundation, US Department of Defense
Parameterized explainer for graph neural network
D Luo, W Cheng, D Xu, W Yu, B Zong, H Chen, X Zhang
Advances in neural information processing systems 33, 19620-19631, 2020
تعهدات: US National Science Foundation
Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks
W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W Wang
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
تعهدات: US National Science Foundation, US Department of Defense, US National …
Robust graph representation learning via neural sparsification
C Zheng, B Zong, W Cheng, D Song, J Ni, W Yu, H Chen, W Wang
International Conference on Machine Learning, 11458-11468, 2020
تعهدات: US National Science Foundation
Learning to drop: Robust graph neural network via topological denoising
D Luo, W Cheng, W Yu, B Zong, J Ni, H Chen, X Zhang
Proceedings of the 14th ACM international conference on web search and data …, 2021
تعهدات: US National Science Foundation
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis.
Q Wang, WU Hassan, D Li, K Jee, X Yu, K Zou, J Rhee, Z Chen, W Cheng, ...
NDSS, 2020
تعهدات: US National Science Foundation
Learning deep network representations with adversarially regularized autoencoders
W Yu, C Zheng, W Cheng, CC Aggarwal, D Song, B Zong, H Chen, ...
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
تعهدات: US National Science Foundation, US Department of Defense, US National …
Infogcl: Information-aware graph contrastive learning
D Xu, W Cheng, D Luo, H Chen, X Zhang
Advances in Neural Information Processing Systems 34, 30414-30425, 2021
تعهدات: US National Science Foundation
Interpretable click-through rate prediction through hierarchical attention
Z Li, W Cheng, Y Chen, H Chen, W Wang
Proceedings of the 13th international conference on web search and data …, 2020
تعهدات: US National Science Foundation
Link prediction with spatial and temporal consistency in dynamic networks.
W Yu, W Cheng, CC Aggarwal, H Chen, W Wang
IJCAI, 3343-3349, 2017
تعهدات: US National Science Foundation, US Department of Defense, US National …
Ranking causal anomalies via temporal and dynamical analysis on vanishing correlations
W Cheng, K Zhang, H Chen, G Jiang, Z Chen, W Wang
Proceedings of the 22nd acm sigkdd international conference on knowledge …, 2016
تعهدات: US National Science Foundation, US National Institutes of Health
Co-regularized deep multi-network embedding
J Ni, S Chang, X Liu, W Cheng, H Chen, D Xu, X Zhang
Proceedings of the 2018 world wide web conference, 469-478, 2018
تعهدات: US National Science Foundation
Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection
Z Wang, Z Chen, J Ni, H Liu, H Chen, J Tang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
تعهدات: US National Science Foundation
Deep r-th root of rank supervised joint binary embedding for multivariate time series retrieval
D Song, N Xia, W Cheng, H Chen, D Tao
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
تعهدات: Australian Research Council
{SIGL}: Securing software installations through deep graph learning
X Han, X Yu, T Pasquier, D Li, J Rhee, J Mickens, M Seltzer, H Chen
30th USENIX Security Symposium (USENIX Security 21), 2345-2362, 2021
تعهدات: US National Science Foundation, Natural Sciences and Engineering Research …
Time series contrastive learning with information-aware augmentations
D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ...
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023
تعهدات: US National Science Foundation
Dynamic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series
Y Wu, J Ni, W Cheng, B Zong, D Song, Z Chen, Y Liu, X Zhang, H Chen, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 651-659, 2021
تعهدات: US Department of Defense
Adaptive neural network for node classification in dynamic networks
D Xu, W Cheng, D Luo, Y Gu, X Liu, J Ni, B Zong, H Chen, X Zhang
2019 IEEE International Conference on Data Mining (ICDM), 1402-1407, 2019
تعهدات: US National Science Foundation
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