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2020 – today
- 2025
[j8]Xiaodong Dong
, Lihai Nie, Zheli Liu, Yang Xiang:
Slark: A Performance Robust Decentralized Inter-Datacenter Deadline-Aware Coflows Scheduling Framework With Local Information. IEEE Trans. Parallel Distributed Syst. 36(2): 197-211 (2025)- 2024
- [j7]Lihai Nie, Laiping Zhao, Keqiu Li, Xiaoyang Shan, Tie Qiu:
A Game-Based Adversarial DGA Detection Scheme Using Multi-Level Incremental Random Forest. IEEE Trans. Netw. Sci. Eng. 11(1): 779-792 (2024) - [i2]Zekun Fei, Biao Yi, Jianing Geng, Ruiqi He, Lihai Nie, Zheli Liu:
Your Fixed Watermark is Fragile: Towards Semantic-Aware Watermark for EaaS Copyright Protection. CoRR abs/2411.09359 (2024) - 2023
- [j6]Lihai Nie, Xiaoyang Shan, Laiping Zhao, Keqiu Li:
PKDGA: A Partial Knowledge-Based Domain Generation Algorithm for Botnets. IEEE Trans. Inf. Forensics Secur. 18: 4854-4869 (2023) - [j5]Changzhi Li, Lihai Nie, Laiping Zhao, Keqiu Li:
Robust website fingerprinting through resource loading sequence. World Wide Web (WWW) 26(5): 2329-2349 (2023) - 2022
- [i1]Lihai Nie, Xiaoyang Shan, Laiping Zhao, Keqiu Li:
PKDGA: A Partial Knowledge-based Domain Generation Algorithm for Botnets. CoRR abs/2212.04234 (2022) - 2021
- [j4]Lihai Nie, Laiping Zhao, Keqiu Li:
Robust Anomaly Detection Using Reconstructive Adversarial Network. IEEE Trans. Netw. Serv. Manag. 18(2): 1899-1912 (2021) - [c8]Changzhi Li, Lihai Nie, Laiping Zhao:
RLTree: Website Fingerprinting Through Resource Loading Tree. NSS 2021: 3-16 - 2020
- [j3]Sheng Chen, Lihai Nie, Xiaoyi Tao, Zhiyang Li, Laiping Zhao:
Approximation of Probabilistic Maximal Frequent Itemset Mining Over Uncertain Sensed Data. IEEE Access 8: 97529-97539 (2020) - [c7]Lihai Nie, Laiping Zhao, Keqiu Li:
Glad: Global And Local Anomaly Detection. ICME 2020: 1-6 - [c6]Hongyun Gao, Laiping Zhao, Huanbin Wang, Zhao Tian, Lihai Nie, Keqiu Li:
XShot: Light-weight Link Failure Localization using Crossed Probing Cycles in SDN. ICPP 2020: 56:1-56:11 - [c5]Haoshi Ren, Lihai Nie, Hongyun Gao, Laiping Zhao, Jianchao Diao:
NetCruiser: Localize Network Failures by Learning from Latency Data. SmartIoT 2020: 23-30
2010 – 2019
- 2019
- [j2]Haoze Lv, Zhaobin Liu, Zhonglian Hu, Lihai Nie, Weijiang Liu, Xinfeng Ye:
Research on improved privacy publishing algorithm based on set cover. Comput. Sci. Inf. Syst. 16(3): 705-731 (2019) - [c4]Yanan Yang, Laiping Zhao, Zhigang Li, Lihai Nie, Peiqi Chen, Keqiu Li:
ElaX: Provisioning Resource Elastically for Containerized Online Cloud Services. HPCC/SmartCity/DSS 2019: 1987-1994 - [c3]Zhao Tian, Laiping Zhao, Lihai Nie, Peiqi Chen, Shuyu Chen:
Deeplive: QoE Optimization for Live Video Streaming through Deep Reinforcement Learning. ICPADS 2019: 827-831 - 2017
- [c2]Lihai Nie, Zhiyang Li, Heng Qi, Weijiang Liu, Wenyu Qu:
Probabilistic Frequent Itemsets Mining Based on Expectation Bound over Uncertain Database. ISPAN-FCST-ISCC 2017: 14-19 - 2016
- [j1]Fengjuan Chen, Wenyu Qu, Lihai Nie, Junfeng Wu, Yuanyuan Li:
Discovering probabilistic frequent closed itemsets in uncertain database with tuple uncertainty. Comput. Syst. Sci. Eng. 31(2) (2016) - [c1]Lihai Nie, Zhiyang Li, Wenyu Qu:
Association Rules Discovery via Approximate Method from Probabilistic Database. Trustcom/BigDataSE/ISPA 2016: 909-914
Coauthor Index
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