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Zixia Liu
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Journal Articles
- 2023
- [j1]Weiwei Xing, Jie Yao, Zixia Liu, Weibin Liu, Shunli Zhang, Liqiang Wang:
Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models. IEEE Trans. Multim. 25: 7881-7893 (2023)
Conference and Workshop Papers
- 2024
- [c10]Yonghuan Xu, Ming Yang, Zhen Ling, Zixia Liu, Xiaodan Gu, Lan Luo:
A De-anonymization Attack against Downloaders in Freenet. INFOCOM 2024: 1-10 - 2021
- [c9]Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CLOUD 2021: 433-444 - 2020
- [c8]Zixia Liu, Liqiang Wang, Gang Quan:
Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing. ICPP 2020: 31:1-31:11 - 2018
- [c7]Zixia Liu, Hong Zhang, BingBing Rao, Liqiang Wang:
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment. IEEE BigData 2018: 252-261 - [c6]Hong Zhang, Zixia Liu, Hai Huang, Liqiang Wang:
FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib. DASC/PiCom/DataCom/CyberSciTech 2018: 828-835 - [c5]Hong Zhang, Zixia Liu, Liqiang Wang:
Tuning Performance of Spark Programs. IC2E 2018: 282-285 - [c4]Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang:
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. ICLR (Poster) 2018 - 2017
- [c3]Zixia Liu, Hong Zhang, Liqiang Wang:
Hierarchical Spark: A Multi-Cluster Big Data Computing Framework. CLOUD 2017: 90-97 - 2016
- [c2]Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, Liqiang Wang:
Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter. CLOUD 2016: 351-358 - 2015
- [c1]Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu, Liqiang Wang:
Dart: A Geographic Information System on Hadoop. CLOUD 2015: 90-97
Informal and Other Publications
- 2021
- [i2]Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. CoRR abs/2107.11536 (2021) - 2018
- [i1]Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang:
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect. CoRR abs/1803.01541 (2018)
Coauthor Index
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