Zixia Liu

According to our database, Zixia Liu authored at least 14 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A deep learning model for predicting systemic lupus erythematosus-associated epitopes.

Jiale He, Zixia Liu, Xiaopo Tang

BMC Medical Informatics Decis. Mak., December, 2025

The Cost of Performance: Breaking ThreadX with Kernel Object Masquerading Attacks.

Xinhui Shao, Zhen Ling, Yue Zhang, Huaiyu Yan, Yumeng Wei, Lan Luo, Zixia Liu, Junzhou Luo, Xinwen Fu

CoRR, April, 2025

Do Not Trust What They Tell: Exposing Malicious Accomplices in Tor via Anomalous Circuit Detection.

Yixuan Yao, Ming Yang, Zixia Liu, Kai Dong, Xiaodan Gu, Chunmian Wang

Proceedings of the ACM on Web Conference 2025, 2025

2024

A De-anonymization Attack against Downloaders in Freenet.

Yonghuan Xu, Ming Yang, Zhen Ling, Zixia Liu, Xiaodan Gu, Lan Luo

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models.

Weiwei Xing, Jie Yao, Zixia Liu, Weibin Liu, Shunli Zhang, Liqiang Wang

IEEE Trans. Multim., 2023

2021

SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.

Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing.

Zixia Liu, Liqiang Wang, Gang Quan

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

2018

Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.

Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang

Proceedings of the 6th International Conference on Learning Representations, 2018

Tuning Performance of Spark Programs.

Hong Zhang, Zixia Liu, Liqiang Wang

Proceedings of the 2018 IEEE International Conference on Cloud Engineering, 2018

FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib.

Hong Zhang, Zixia Liu, Hai Huang, Liqiang Wang

Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment.

Zixia Liu, Hong Zhang, BingBing Rao, Liqiang Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Hierarchical Spark: A Multi-Cluster Big Data Computing Framework.

Zixia Liu, Hong Zhang, Liqiang Wang

Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016

Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter.

Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, Liqiang Wang

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015

Dart: A Geographic Information System on Hadoop.

Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu, Liqiang Wang

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015