Hui Liu
Hui Liu
Afiliação desconhecida
E-mail confirmado em smu.edu
Título
Citado por
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Ano
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 (2), 151-178, 2020
1342020
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
962012
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
272020
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
182019
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
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
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
92021
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
92020
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
82020
Whitemesh: Leveraging white spaces in wireless mesh networks
P Cui, Y Dong, H Liu, D Rajan, E Olinick, J Camp
2016 14th International Symposium on Modeling and Optimization in Mobile, Ad …, 2016
82016
ASTRA: Application of sequential training to rate adaptation
H Liu, J He, P Cui, J Camp, D Rajan
2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and …, 2012
72012
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
52020
Outlier Detection for Training-Based Adaptive Protocols
H Liu, J He, D Rajan, J Camp
WCNC 2013, 2013
42013
Architecture and experimental evaluation of context-aware adaptation in vehicular networks
H Liu, J He, J Wensowitch, D Rajan, J Camp
EURASIP Journal on Wireless Communications and Networking 2020 (1), 1-20, 2020
22020
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
22020
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
arXiv preprint arXiv:2008.13361, 2020
22020
FIT: On-the-fly, in-situ training with sensor data for SNR-based rate selection
H Liu, J He, O Altintas, R Vuyyuru, J Camp, D Rajan
2015 IEEE Wireless Communications and Networking Conference (WCNC), 1201-1206, 2015
22015
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
X Zhao, C Gu, H Zhang, X Yang, X Liu, H Liu, J Tang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 750-758, 2021
12021
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
12021
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