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Hui Liu
Hui Liu
Verified email at msu.edu
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Cited by
Cited by
Year
Adversarial attacks and defenses in images, graphs and text: A review
H Xu, Y Ma, HC Liu, D Deb, H Liu, JL Tang, AK Jain
International Journal of Automation and Computing 17, 151-178, 2020
4702020
Optimal placement and configuration of roadside units in vehicular networks
Y Liang, H Liu, D Rajan
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 1-6, 2012
1152012
Does gender matter? towards fairness in dialogue systems
H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang
arXiv preprint arXiv:1910.10486, 2019
752019
Whole-chain recommendations
X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang
Proceedings of the 29th ACM international conference on information …, 2020
592020
Autoemb: Automated embedding dimensionality search in streaming recommendations
X Zhaok, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ...
2021 IEEE International Conference on Data Mining (ICDM), 896-905, 2021
572021
Dear: Deep reinforcement learning for online advertising impression in recommender systems
X Zhao, C Gu, H Zhang, X Yang, X Liu, J Tang, H Liu
Proceedings of the AAAI conference on artificial intelligence 35 (1), 750-758, 2021
522021
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
492020
Attacking black-box recommendations via copying cross-domain user profiles
W Fan, T Derr, X Zhao, Y Ma, H Liu, J Wang, J Tang, Q Li
2021 IEEE 37th International Conference on Data Engineering (ICDE), 1583-1594, 2021
402021
A comprehensive survey on trustworthy graph neural networks: Privacy, robustness, fairness, and explainability
E Dai, T Zhao, H Zhu, J Xu, Z Guo, H Liu, J Tang, S Wang
arXiv preprint arXiv:2204.08570, 2022
292022
Autoloss: Automated loss function search in recommendations
X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
282021
Memory-efficient embedding for recommendations
X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long
arXiv preprint arXiv:2006.14827, 2020
252020
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
232021
Autodim: Field-aware embedding dimension searchin recommender systems
X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long
Proceedings of the Web Conference 2021, 3015-3022, 2021
222021
Towards robust graph neural networks for noisy graphs with sparse labels
E Dai, W Jin, H Liu, S Wang
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
202022
Design and experimental evaluation of context-aware link-level adaptation
J He, H Liu, P Cui, J Landon, O Altintas, R Vuyyuru, D Rajan, J Camp
2012 Proceedings IEEE INFOCOM, 2726-2730, 2012
142012
Usersim: User simulation via supervised generativeadversarial network
X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang
Proceedings of the Web Conference 2021, 3582-3589, 2021
122021
A measurement study of white spaces across diverse population densities
P Cui, H Liu, D Rajan, J Camp
2014 12th International Symposium on Modeling and Optimization in Mobile, Ad …, 2014
122014
Leveraging diverse propagation and context for multi-modal vehicular applications
P Cui, H Liu, J He, O Altintas, R Vuyyuru, D Rajan, J Camp
2013 IEEE 5th International Symposium on Wireless Vehicular Communications …, 2013
112013
Yet meta learning can adapt fast, it can also break easily
H Xu, Y Li, X Liu, H Liu, J Tang
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
92021
Learning multi-level dependencies for robust word recognition
Z Wang, H Liu, J Tang, S Yang, GY Huang, Z Liu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9250-9257, 2020
92020
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Articles 1–20