Fighting unicode-obfuscated spam. - Changwei Liu; Sid Stamm (eCrime Researchers Summit, 2007)

Using Attack Graphs in Forensic Examinations. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (ARES, 2012)

Mapping evidence graphs to attack graphs. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (WIFS, 2012)

Creating Integrated Evidence Graphs for Network Forensics. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (IFIP Int. Conf. Digital Forensics, 2013)

A Model Towards Using Evidence from Security Events for Network Attack Analysis. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (WOSIS, 2014)

Relating Admissibility Standards for Digital Evidence to Attack Scenario Reconstruction. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (J. Digit. Forensics Secur. Law, 2014)

POSTER: A Logic Based Network Forensics Model for Evidence Analysis. - Anoop Singhal; Changwei Liu; Duminda Wijesekera (CCS, 2015)

A Logic-Based Network Forensic Model for Evidence Analysis. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (IFIP Int. Conf. Digital Forensics, 2015)

A Probabilistic Network Forensic Model for Evidence Analysis. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (IFIP Int. Conf. Digital Forensics, 2016)

Identifying Evidence for Cloud Forensic Analysis. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (Research Advances in Cloud Computing, 2017)

A layered graphical model for mission attack impact analysis. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (CNS, 2017)

Identifying Evidence for Cloud Forensic Analysis. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (IFIP Int. Conf. Digital Forensics, 2017)

A Layered Graphical Model for Cloud Forensic Mission Attack Impact Analysis. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (IFIP Int. Conf. Digital Forensics, 2018)

DETERMINING THE FORENSIC DATA REQUIREMENTS FOR INVESTIGATING HYPERVISOR ATTACKS. - Changwei Liu; Anoop Singhal; Ramaswamy Chandramouli; Duminda Wijesekera (IFIP Int. Conf. Digital Forensics, 2019)

On the surface fluxes characteristics and roughness lengths at Zhongshan station, Antarctica. - Changwei Liu; Yubin Li; Qinghua Yang; Linlin Wang; Xianqiao Wang; Shimin Li; Zhiqiu Gao (Int. J. Digit. Earth, 2019)

Forensic Analysis of Advanced Persistent Threat Attacks in Cloud Environments. - Changwei Liu; Anoop Singhal; Duminda Wijesekera (IFIP Int. Conf. Digital Forensics, 2020)

Deep Recommendation Model Based on BiLSTM and BERT. - Changwei Liu; Xiaowen Deng (PRICAI (2), 2021)

Management and Monitoring of Multi-Behavior Recommendation Systems Using Graph Convolutional Neural Networks. - Changwei Liu; Kexin Wang; Aman Wu (Int. J. Found. Comput. Sci., 2022)

Industry-Oriented Lightweight Simulation System. - Changwei Liu; Hao Ren 005; Nan Zhou 004; Guoqiang Li; Xiaojun Liang; Weihua Gui 001; Chunhua Yang 001 (ICPADS, 2023)

Convolutional neural network-based spatiotemporal prediction for deformation behavior of arch dams. - Jianwen Pan; Wenju Liu; Changwei Liu; Jinting Wang (Expert Syst. Appl., 2023)

Virtual reality for enhancing spatial ability in Environmental Art Design Education. - Zheng Wang; Jiadi Liu; Asmidah Alwi; Changwei Liu (ICAIE, 2024)

Build a Computationally Efficient Strong Defense Against Adversarial Example Attacks. - Changwei Liu; Louis DiValentin; Aolin Ding; Malek Ben Salem (ICISSP, 2024)

Virtual Keymysteries Unveiled: Detecting Keystrokes in VR with External Side-Channels. - Hossein Khalili; Alexander Chen; Theodoros Papaiakovou; Timothy Jacques; Hao-Jen Chien; Changwei Liu; Aolin Ding; Amin Hass; Saman A. Zonouz; Nader Sehatbakhsh (SP (Workshops), 2024)

PSO-GA Hyperparameter Optimized ResNet-BiGRU-Based Intrusion Detection Method. - Zhixin Xia; Siyuan He; Changwei Liu; Yongshan Liu; Xiaolei Yang; Huifeng Bu (IEEE Access, 2024)

Deformation prediction of arch dams by coupling STL decomposition and LSTM neural network. - Jiaqi Yang; Changwei Liu; Jianwen Pan (Appl. Intell., 2024)

SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues. - Martin Kuo; Jianyi Zhang; Aolin Ding; Louis DiValentin; Amin Hass; Benjamin F. Morris III; Isaac Jacobson; Randolph Linderman; James Kiessling; Nicolas Ramos; Bhavna Gopal; Maziyar Baran Pouyan; et al. (CoRR, 2025)

Singular Value Decomposition-based lightweight LSTM for time series forecasting. - Changwei Liu; Hao Ren 005; Guoqiang Li; Haojie Ren; Xiaojun Liang; Chunhua Yang 001; Weihua Gui 001 (Future Gener. Comput. Syst., 2026)