Zixia Liu

18 papers A* 3B 6Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
From C2 to C weighted piecewise rational interpolation.
Appl. Math. Comput.
Peng Xia, Zixia Liu, Na Lei
2025 J jnl
A deep learning model for predicting systemic lupus erythematosus-associated epitopes.
BMC Medical Informatics Decis. Mak.
Jiale He, Zixia Liu, Xiaopo Tang
2025 A* conf
Do Not Trust What They Tell: Exposing Malicious Accomplices in Tor via Anomalous Circuit Detection.
WWW
Yixuan Yao, Ming Yang, Zixia Liu, Kai Dong, Xiaodan Gu, Chunmian Wang
2025 A* conf
The Cost of Performance: Breaking ThreadX with Kernel Object Masquerading Attacks.
USENIX Security Symposium
Xinhui Shao, Zhen Ling, Yue Zhang, Huaiyu Yan, Yumeng Wei, Lan Luo, Zixia Liu, Junzhou Luo, Xinwen Fu
2025 J jnl
The Cost of Performance: Breaking ThreadX with Kernel Object Masquerading Attacks.
CoRR
Xinhui Shao, Zhen Ling, Yue Zhang, Huaiyu Yan, Yumeng Wei, Lan Luo, Zixia Liu, Junzhou Luo, Xinwen Fu
2024 A* conf
A De-anonymization Attack against Downloaders in Freenet.
INFOCOM
Yonghuan Xu, Ming Yang, Zhen Ling, Zixia Liu, Xiaodan Gu, Lan Luo
2023 J jnl
Contrastive JS: A Novel Scheme for Enhancing the Accuracy and Robustness of Deep Models.
IEEE Trans. Multim.
Weiwei Xing, Jie Yao, Zixia Liu, Weibin Liu, Shunli Zhang, Liqiang Wang
2021 B conf
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CLOUD
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2021 J jnl
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis.
CoRR
Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang
2020 B conf
Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing.
ICPP
Zixia Liu, Liqiang Wang, Gang Quan
2018 — conf
A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment.
IEEE BigData
Zixia Liu, Hong Zhang, Bingbing Rao, Liqiang Wang
2018 — conf
FTSGD: An Adaptive Stochastic Gradient Descent Algorithm for Spark MLlib.
DASC/PiCom/DataCom/CyberSciTech
Hong Zhang, Zixia Liu, Hai Huang, Liqiang Wang
2018 — conf
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.
ICLR (Poster)
Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang
2018 J jnl
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.
CoRR
Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang
2018 B conf
Tuning Performance of Spark Programs.
IC2E
Hong Zhang, Zixia Liu, Liqiang Wang
2017 B conf
Hierarchical Spark: A Multi-Cluster Big Data Computing Framework.
CLOUD
Zixia Liu, Hong Zhang, Liqiang Wang
2016 B conf
Migrating GIS Big Data Computing from Hadoop to Spark: An Exemplary Study Using Twitter.
CLOUD
Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, Liqiang Wang
2015 B conf
Dart: A Geographic Information System on Hadoop.
CLOUD
Hong Zhang, Zhibo Sun, Zixia Liu, Chen Xu, Liqiang Wang