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Yuening Li
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Cited by
Year
Towards deeper graph neural networks with differentiable group normalization
K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu
NeurIPS, 2020
712020
Towards generalizable deepfake detection with locality-aware autoencoder
M Du, S Pentyala, Y Li, X Hu
Proceedings of the 29th ACM International Conference on Information …, 2020
69*2020
Graph recurrent networks with attributed random walks
X Huang, Q Song, Y Li, X Hu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
642019
Is a single vector enough? exploring node polysemy for network embedding
N Liu, Q Tan, Y Li, H Yang, J Zhou, X Hu
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
612019
Specae: Spectral autoencoder for anomaly detection in attributed networks
Y Li, X Huang, J Li, M Du, N Zou
Proceedings of the 28th ACM international conference on information and …, 2019
572019
Dual policy distillation
KH Lai, D Zha, Y Li, X Hu
IJCAI, 2020
272020
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
232020
Mitigating gender bias in captioning systems
R Tang, M Du, Y Li, Z Liu, N Zou, X Hu
Proceedings of the Web Conference 2021, 633-645, 2021
212021
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
15*2021
Deep structured cross-modal anomaly detection
Y Li, N Liu, J Li, M Du, X Hu
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
14*2019
Autood: Neural architecture search for outlier detection
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2117-2122, 2021
72021
Pyodds: An end-to-end outlier detection system
Y Li, D Zha, N Zou, X Hu
arXiv preprint arXiv:1910.02575, 2019
52019
Towards Learning Disentangled Representations for Time Series
Y Li, Z Chen, D Zha, M Du, J Ni, D Zhang, H Chen, X Hu
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
4*2022
Xdeep: An interpretation tool for deep neural networks
F Yang, Z Zhang, H Wang, Y Li, X Hu
arXiv preprint arXiv:1911.01005, 2019
42019
RES: An Interpretable Replicability Estimation System for Research Publications
Z Wang, Q Feng, M Chatterjee, X Zhao, Y Liu, Y Li, AK Singh, ...
2022
Automating the design of neural networks for anomaly detection
Z Chen, H Chen, Y Li
US Patent App. 17/170,254, 2021
2021
Anomaly Detection with Complex Data Structures
Y Li
Texas A&M University, 2021
2021
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Articles 1–17