Association Rules Discovery via Approximate Method from Probabilistic Database. - Lihai Nie; Zhiyang Li 001; Wenyu Qu (Trustcom/BigDataSE/ISPA, 2016)

Discovering probabilistic frequent closed itemsets in uncertain database with tuple uncertainty. - Fengjuan Chen; Wenyu Qu; Lihai Nie; Junfeng Wu 002; Yuanyuan Li 002 (Comput. Syst. Sci. Eng., 2016)

Probabilistic Frequent Itemsets Mining Based on Expectation Bound over Uncertain Database. - Lihai Nie; Zhiyang Li 001; Heng Qi; Weijiang Liu; Wenyu Qu (ISPAN-FCST-ISCC, 2017)

ElaX: Provisioning Resource Elastically for Containerized Online Cloud Services. - Yanan Yang; Laiping Zhao; Zhigang Li; Lihai Nie; Peiqi Chen; Keqiu Li (HPCC/SmartCity/DSS, 2019)

Deeplive: QoE Optimization for Live Video Streaming through Deep Reinforcement Learning. - Zhao Tian; Laiping Zhao; Lihai Nie; Peiqi Chen; Shuyu Chen (ICPADS, 2019)

Research on improved privacy publishing algorithm based on set cover. - Haoze Lv; Zhaobin Liu; Zhonglian Hu; Lihai Nie; Weijiang Liu; Xinfeng Ye (Comput. Sci. Inf. Syst., 2019)

Glad: Global And Local Anomaly Detection. - Lihai Nie; Laiping Zhao; Keqiu Li (ICME, 2020)

XShot: Light-weight Link Failure Localization using Crossed Probing Cycles in SDN. - Hongyun Gao 002; Laiping Zhao; Huanbin Wang; Zhao Tian; Lihai Nie; Keqiu Li (ICPP, 2020)

NetCruiser: Localize Network Failures by Learning from Latency Data. - Haoshi Ren; Lihai Nie; Hongyun Gao 002; Laiping Zhao; Jianchao Diao (SmartIoT, 2020)

Approximation of Probabilistic Maximal Frequent Itemset Mining Over Uncertain Sensed Data. - Sheng Chen 008; Lihai Nie; Xiaoyi Tao; Zhiyang Li 001; Laiping Zhao (IEEE Access, 2020)

RLTree: Website Fingerprinting Through Resource Loading Tree. - Changzhi Li; Lihai Nie; Laiping Zhao (NSS, 2021)

Robust Anomaly Detection Using Reconstructive Adversarial Network. - Lihai Nie; Laiping Zhao; Keqiu Li (IEEE Trans. Netw. Serv. Manag., 2021)

PKDGA: A Partial Knowledge-Based Domain Generation Algorithm for Botnets. - Lihai Nie; Xiaoyang Shan; Laiping Zhao; Keqiu Li (IEEE Trans. Inf. Forensics Secur., 2023)

Robust website fingerprinting through resource loading sequence. - Changzhi Li; Lihai Nie; Laiping Zhao; Keqiu Li (World Wide Web (WWW), 2023)

Your Fixed Watermark is Fragile: Towards Semantic-Aware Watermark for EaaS Copyright Protection. - Zekun Fei; Biao Yi; Jianing Geng; Ruiqi He; Lihai Nie; Zheli Liu (CoRR, 2024)

A Game-Based Adversarial DGA Detection Scheme Using Multi-Level Incremental Random Forest. - Lihai Nie; Laiping Zhao; Keqiu Li; Xiaoyang Shan; Tie Qiu 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Slark: A Performance Robust Decentralized Inter-Datacenter Deadline-Aware Coflows Scheduling Framework With Local Information. - Xiaodong Dong; Lihai Nie; Zheli Liu; Yang Xiang 001 (IEEE Trans. Parallel Distributed Syst., 2025)

Practical Poisoning Attacks against Retrieval-Augmented Generation. - Baolei Zhang; Yuxi Chen; Minghong Fang; Zhuqing Liu; Lihai Nie; Tong Li 011; Zheli Liu (CoRR, 2025)

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning. - Biao Yi; Tiansheng Huang; Baolei Zhang; Tong Li 011; Lihai Nie; Zheli Liu; Li Shen 008 (CoRR, 2025)

When Safety Detectors Aren't Enough: A Stealthy and Effective Jailbreak Attack on LLMs via Steganographic Techniques. - Jianing Geng; Biao Yi; Zekun Fei; Tongxi Wu; Lihai Nie; Zheli Liu (CoRR, 2025)

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation. - Baolei Zhang; Haoran Xin 002; Jiatong Li; Dongzhe Zhang; Minghong Fang; Zhuqing Liu; Lihai Nie; Zheli Liu (CoRR, 2025)

BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit. - Biao Yi; Zekun Fei; Jianing Geng; Tong Li 011; Lihai Nie; Zheli Liu; Yiming Li 004 (CoRR, 2025)

Gradient Surgery for Safe LLM Fine-Tuning. - Biao Yi; Jiahao Li; Baolei Zhang; Lihai Nie; Tong Li 011; Tiansheng Huang; Zheli Liu (CoRR, 2025)