Wentao Wang
Wentao Wang
Verifisert e-postadresse på msu.edu - Startside
Sitert av
Sitert av
Mitigating gender bias for neural dialogue generation with adversarial learning
H Liu, W Wang, Y Wang, H Liu, Z Liu, J Tang
arXiv preprint arXiv:2009.13028, 2020
FLAP: An end-to-end event log analysis platform for system management
T Li, Y Jiang, C Zeng, B Xia, Z Liu, W Zhou, X Zhu, W Wang, L Zhang, ...
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Mining top-k distinguishing sequential patterns with gap constraint
H Yang, L Duan, B Hu, S Deng, W Wang, P Qin
J. Softw 26 (11), 2994-3009, 2015
Global-and-local aware data generation for the class imbalance problem
W Wang, S Wang, W Fan, Z Liu, J Tang
Proceedings of the 2020 SIAM International Conference on Data Mining, 307-315, 2020
Online inference for time-varying temporal dependency discovery from time series
C Zeng, Q Wang, W Wang, T Li, L Shwartz
2016 IEEE International Conference on Big Data (Big Data), 1281-1290, 2016
Imbalanced adversarial training with reweighting
W Wang, H Xu, X Liu, Y Li, B Thuraisingham, J Tang
2022 IEEE international conference on data mining (ICDM), 1209-1214, 2022
Toward degree bias in embedding-based knowledge graph completion
H Shomer, W Jin, W Wang, J Tang
Proceedings of the ACM Web Conference 2023, 705-715, 2023
Representation learning from limited educational data with crowdsourced labels
W Wang, G Xu, W Ding, GY Huang, G Li, J Tang, Z Liu
IEEE Transactions on Knowledge and Data Engineering 34 (6), 2886-2898, 2020
INS-GNN: Improving graph imbalance learning with self-supervision
X Juan, F Zhou, W Wang, W Jin, J Tang, X Wang
Information Sciences 637, 118935, 2023
DI-DAP: an efficient disaster information delivery and analysis platform in disaster management
T Li, W Zhou, C Zeng, Q Wang, Q Zhou, D Wang, J Xu, Y Huang, W Wang, ...
Proceedings of the 25th ACM international on conference on information and …, 2016
Oases: an online scalable spam detection system for social networks
H Xu, L Hu, P Liu, Y Xiao, W Wang, J Dayal, Q Wang, Y Tang
2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 98-105, 2018
FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications
T Li, C Zeng, W Zhou, W Xue, Y Huang, Z Liu, Q Zhou, B Xia, Q Wang, ...
Knowledge and Information Systems 52, 411-443, 2017
Learning from incomplete labeled data via adversarial data generation
W Wang, T Derr, Y Ma, S Wang, H Liu, Z Liu, J Tang
2020 IEEE International Conference on Data Mining (ICDM), 1316-1321, 2020
Mining frequent closed sequential patterns with non-user-defined gap constraints
W Wang, L Duan, J Nummenmaa, S Deng, Z Li, H Yang, C Tang
International Conference on Advanced Data Mining and Applications, 57-70, 2014
Towards the memorization effect of neural networks in adversarial training
H Xu, X Liu, W Wang, W Ding, Z Wu, Z Liu, A Jain, J Tang
arXiv preprint arXiv:2106.04794, 2021
Discovering multiple time lags of temporal dependencies from fluctuating events
W Wang, C Zeng, T Li
Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018 …, 2018
Towards adversarial learning: from evasion attacks to poisoning attacks
W Wang, H Xu, Y Wan, J Ren, J Tang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data
W Wang, H Shomer, Y Wan, Y Li, J Huang, H Liu
Proceedings of the 32nd ACM International Conference on Information and …, 2023
How does the Memorization of Neural Networks Impact Adversarial Robust Models?
H Xu, X Liu, W Wang, Z Liu, AK Jain, J Tang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
Enhancing Adversarial Training with Feature Separability
Y Li, X Liu, H Xu, W Wang, J Tang
arXiv preprint arXiv:2205.00637, 2022
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Artikler 1–20