Integration of Software Defined Radios and Software Defined Networking Towards Reinforcement Learning Enabled Unmanned Aerial Vehicle Networks. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Houbing Song (ICII, 2019)

Feature-based Distant Domain Transfer Learning. - Shuteng Niu; Yihao Hu 001; Jian Wang 061; Yongxin Liu; Houbing Song (IEEE BigData, 2020)

Transfer Learning based Data-Efficient Machine Learning Enabled Classification. - Shuteng Niu; Jian Wang 061; Yongxin Liu; Houbing Song (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Deep Learning Enabled Reliable Identity Verification and Spoofing Detection. - Yongxin Liu; Jian Wang 061; Shuteng Niu; Houbing Song (WASA (1), 2020)

A Decade Survey of Transfer Learning (2010-2020). - Shuteng Niu; Yongxin Liu; Jian Wang 061; Houbing Song (IEEE Trans. Artif. Intell., 2020)

A 24-hour signal recording dataset with labels for cybersecurity and IoT. - Yongxin Liu; Jian Wang 061; Houbing Song; Shuteng Niu; Thomas Yang 001 (IEEE DataPort, 2020)

Blockchain Enabled Secure Authentication for Unmanned Aircraft Systems. - Yongxin Liu; Jian Wang 061; Yingjie Chen; Shuteng Niu; Zhihan Lv; Lei Wu; Dahai Liu; Houbing Song (GLOBECOM (Workshops), 2021)

Reinforcement Learning Optimized Throughput for 5G Enhanced Swarm UAS Networking. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Houbing Song (ICC, 2021)

Zero-bias Deep Neural Network for Quickest RF Signal Surveillance. - Yongxin Liu; Yingjie Chen; Jian Wang 061; Shuteng Niu; Dahai Liu; Houbing Song (IPCCC, 2021)

Reinforcement Learning based Scheduling for Heterogeneous UAV Networking. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Houbing Song (MSN, 2021)

Bio-inspired routing for heterogeneous Unmanned Aircraft Systems (UAS) swarm networking. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Houbing Song (Comput. Electr. Eng., 2021)

Lightweight blockchain assisted secure routing of swarm UAS networking. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Houbing Song (Comput. Commun., 2021)

Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey. - Yongxin Liu; Jian Wang 061; Jianqiang Li 001; Shuteng Niu; Houbing Song (CoRR, 2021)

Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT. - Yongxin Liu; Jian Wang 061; Jianqiang Li 001; Shuteng Niu; Houbing Song (CoRR, 2021)

Blockchain enabled verification for cellular-connected unmanned aircraft system networking. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Houbing Song; Weipeng Jing 001; Jiawei Yuan (Future Gener. Comput. Syst., 2021)

Class-Incremental Learning for Wireless Device Identification in IoT. - Yongxin Liu; Jian Wang 061; Jianqiang Li 001; Shuteng Niu; Houbing Song (IEEE Internet Things J., 2021)

Zero-Bias Deep Learning for Accurate Identification of Internet-of-Things (IoT) Devices. - Yongxin Liu; Jian Wang 061; Jianqiang Li 001; Houbing Song; Thomas Yang 001; Shuteng Niu; Zhong Ming 001 (IEEE Internet Things J., 2021)

Distant Domain Transfer Learning for Medical Imaging. - Shuteng Niu; Meryl Liu; Yongxin Liu; Jian Wang 061; Houbing Song (IEEE J. Biomed. Health Informatics, 2021)

Optimal Routing for Beamforming-Constrained Swarm UAS Networking. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Houbing Song (IEEE Trans. Netw. Sci. Eng., 2021)

ADS-B signals records for non-cryptographic identification and incremental learning. - Yongxin Liu; Jian Wang 061; Shuteng Niu; Houbing Song (IEEE DataPort, 2021)

Exploring Adversarial Attacks on Neural Networks: An Explainable Approach. - Justus Renkhoff; Wenkai Tan; Alvaro Velasquez; William Yichen Wang; Yongxin Liu; Jian Wang 061; Shuteng Niu; Lejla Begic Fazlic; Guido Dartmann; Houbing Song (IPCCC, 2022)

Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection. - Zenan Sun; Jingyi Su; Donghyun Jeon; Alvaro Velasquez; Houbing Song; Shuteng Niu (IPCCC, 2022)

Spatial-Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction. - Yushan Jiang; Shuteng Niu; Kai Zhang 039; Bowen Chen; Chengtao Xu; Dahai Liu; Houbing Song (IEEE Internet Things J., 2022)

Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey. - Yongxin Liu; Jian Wang 061; Jianqiang Li 001; Shuteng Niu; Houbing Song (IEEE Internet Things J., 2022)

Zero-Bias Deep-Learning-Enabled Quickest Abnormal Event Detection in IoT. - Yongxin Liu; Jian Wang 061; Jianqiang Li 001; Shuteng Niu; Lei Wu; Houbing Song (IEEE Internet Things J., 2022)

Throughput Optimization in Heterogeneous Swarms of Unmanned Aircraft Systems for Advanced Aerial Mobility. - Jian Wang 061; Yongxin Liu; Shuteng Niu; Weipeng Jing 001; Houbing Song (IEEE Trans. Intell. Transp. Syst., 2022)

Cross-Modality Transfer Learning for Image-Text Information Management. - Shuteng Niu; Yushan Jiang; Bowen Chen; Jian Wang 061; Yongxin Liu; Houbing Song (ACM Trans. Manag. Inf. Syst., 2022)

NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks. - Wenkai Tan; Justus Renkhoff; Alvaro Velasquez; Ziyu Wang; Lusi Li; Jian Wang 061; Shuteng Niu; Fan Yang; Yongxin Liu; Houbing Song (FUZZ, 2023)

SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection. - Lijing Zhu; Qizhen Lan; Alvaro Velasquez; Houbing Song; Acharya Kamal; Qing Tian 003; Shuteng Niu (ICDM (Workshops), 2023)

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion. - Donghyun Jeon; Wenbo Sun; Houbing Herbert Song; Dongfang Liu; Alvaro Velasquez; Chloe Yixin Xie; Shuteng Niu (IEEE Big Data, 2024)

Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph Learning. - Lijing Zhu; Donghyun Jeon; Wenbo Sun; Li Yang; Chloe Yixin Xie; Shuteng Niu (IEEE Big Data, 2024)

Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models. - Lingtao Chen; Kazi Fahim Ahmad Nasif; Bobin Deng; Shuteng Niu; Chloe Yixin Xie (ICTAI, 2024)

Explainable AI for Comparative Analysis of Intrusion Detection Models. - Pap M. Corea; Yongxin Liu; Jian Wang 061; Shuteng Niu; Houbing Song (MeditCom, 2024)

Addressing Small and Imbalanced Medical Image Datasets Using Generative Models: A Comparative Study of DDPM and PGGANs with Random and Greedy K Sampling. - Iman Khazrak; Shakhnoza Takhirova; Mostafa M. Rezaee; Mehrdad Yadollahi; Robert C. Green II; Shuteng Niu (CoRR, 2024)

ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding. - Lijing Zhu; Qizhen Lan; Qing Tian; Wenbo Sun; Li Yang; Lu Xia; Yixin Xie; Xi Xiao; Tiehang Duan; Cui Tao; Shuteng Niu (CoRR, 2025)