Yuling Liu

An Approach for Predicting the Costs of Forwarding Contracts using Gradient Boosting

D. Du, Zhigang Lu, Haitao Xiao, 2022, 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS).

PUMD: a PU learning-based malicious domain detection framework

Yuling Liu, Zhaoshan Fan, Qing Wang, 2022, Cybersecurity.

WP-GBDT: An Approach for Winner Prediction using Gradient Boosting Decision Tree

D. Du, Zhigang Lu, Haitao Xiao, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Blockchain abnormal behavior awareness methods: a survey

Baoxu Liu, C. Zhang, Zehui Wang, 2022, Cybersecurity.

STIDM: A Spatial and Temporal Aware Intrusion Detection Model

Xueying Han, Chonghua Wang, Zhigang Lu, 2020, 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

CBSeq: A Channel-Level Behavior Sequence for Encrypted Malware Traffic Detection

Zhigang Lu, Yuling Liu, Cong Dong, 2023, IEEE Transactions on Information Forensics and Security.

DCC-Find: DNS Covert Channel Detection by Features Concatenation-Based LSTM

D. Du, Dongxu Han, Yuling Liu, 2022, International Conference on Trust, Security and Privacy in Computing and Communications.

Social Recommendation in Heterogeneous Evolving Relation Network

Zhigang Lu, Bo Jiang, Ning Li, 2020, ICCS.

Phishing behavior detection on different blockchains via adversarial domain adaptation

Xueying Han, D. Du, Yuling Liu, 2024, Cybersecur..

Unveiling encrypted traffic types through hierarchical network characteristics

Yuling Liu, Cong Dong, Susu Cui, 2023, Comput. Secur..