Ninghao Liu
Ninghao Liu
Assistant Professor of Computer Science, University of Georgia
Verified email at uga.edu - Homepage
Title
Cited by
Cited by
Year
Techniques for interpretable machine learning
M Du, N Liu, X Hu
Communications of the ACM 63 (1), 68-77, 2019
3932019
Towards Explanation of DNN-based Prediction with Guided Feature Inversion
M Du, N Liu, Q Song, X Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
742018
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
442019
Accelerated local anomaly detection via resolving attributed networks
N Liu, X Huang, X Hu
Proceedings of the 26th International Joint Conference on Artificial …, 2017
362017
Adversarial Detection with Model Interpretation
N Liu, H Yang, X Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
342018
Contextual Outlier Interpretation
N Liu, D Shin, X Hu
Proceedings of the 27th International Joint Conference on Artificial …, 2018
302018
On Interpretation of Network Embedding via Taxonomy Induction
N Liu, X Huang, J Li, X Hu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
272018
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition
M Du, N Liu, F Yang, S Ji, X Hu
The Web Conference (WWW), 2019
252019
An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums
J Gao, N Liu, M Lawley, X Hu
Journal of Healthcare Engineering, 2017
242017
Deep Representation Learning for Social Network Analysis
Q Tan, N Liu, X Hu
Frontiers in Big Data 2, 2, 2019
222019
An embarrassingly simple approach for trojan attack in deep neural networks
R Tang, M Du, N Liu, F Yang, X Hu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
202020
Learning Credible Deep Neural Networks with Rationale Regularization
M Du, N Liu, F Yang, X Hu
IEEE International Conference on Data Mining (ICDM), 2019
162019
Learning to Hash with Graph Neural Networks for Recommender Systems
Q Tan, N Liu, X Zhao, H Yang, J Zhou, X Hu
The Web Conference (WWW), 2020
132020
Towards Interpretation of Recommender Systems with Sorted Explanation Paths
F Yang, N Liu, S Wang, X Hu
2018 IEEE International Conference on Data Mining (ICDM), 667-676, 2018
132018
Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance
X Hu, PD Reaven, A Saremi, N Liu, MA Abbasi, H Liu, RQ Migrino, ...
EURASIP Journal on Bioinformatics and Systems Biology 2016 (1), 14, 2016
132016
Representation Interpretation with Spatial Encoding and Multimodal Analytics
N Liu, M Du, X Hu
ACM International Conference on Web Search and Data Mining (WSDM), 2019
112019
Deep Structured Cross-Modal Anomaly Detection
Y Li, N Liu, XH Li, Jundong, Mengnan Du
IJCNN, 2019
10*2019
Adversarial Attacks and Defenses: An Interpretation Perspective
N Liu, M Du, R Guo, H Liu, X Hu
ACM SIGKDD Explorations Newsletter, 2021
6*2021
Sparse-interest network for sequential recommendation
Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
32021
Dynamic memory based attention network for sequential recommendation
Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4384-4392, 2021
32021
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