FJLT-FLSH: More Efficient Fly Locality-Sensitive Hashing Algorithm via FJLT for WMSN IoT Search. - Wenhao Shao; Ruliang Xiao; Jin Huang; Huakun Liu; Xin Du 003 (IEEE Internet Things J., 2019)

Toward More Efficient WMSN Data Search Combined FJLT Dimension Expansion With PCA Dimension Reduction. - Chenkai Xiao; Wenhao Shao; Ruliang Xiao (IEEE Access, 2020)

Joint Matrix Factorization and Structure Preserving for Domain Adaptation. - Wenhao Shao; Hui Chen; Min Meng 001; Jigang Wu (CGI, 2022)

COVID-19 and SARS Virus Function Sites Classification with Machine Learning Methods. - Hongdong Wang; Zizhou Feng; Baitong Chen; Wenhao Shao; Zijun Shao; Yumeng Zhu; Zhuo Wang (ICIC (2), 2022)

Enhancing Video Anomaly Detection by Leveraging Advanced Deep Learning Techniques. (Amélioration de la détection d'anomalies vidéo basée sur des technique avancées d'Apprentissage Profond). - Wenhao Shao (2023)

COVAD: Content-Oriented Video Anomaly Detection using a Self-Attention based Deep Learning Model. - Wenhao Shao; Praboda Rajapaksha; Yanyan Wei; Dun Li; Noël Crespi; Zhigang Luo (Virtual Real. Intell. Hardw., 2023)

Low-Latency Dimensional Expansion and Anomaly Detection Empowered Secure IoT Network. - Wenhao Shao; Yanyan Wei; Praboda Rajapaksha; Dun Li; Zhigang Luo; Noël Crespi (IEEE Trans. Netw. Serv. Manag., 2023)

Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning. - Wenhao Shao; Ruliang Xiao; Praboda Rajapaksha; Mengzhu Wang; Noël Crespi; Zhigang Luo; Roberto Minerva (Pattern Recognit., 2023)

Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training. - Guanlin Li; Xuechen Zhao; Amir Reza Jafari; Wenhao Shao; Reza Farahbakhsh; Noël Crespi (LREC/COLING, 2024)

Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. - Wenhao Shao; Praboda Rajapaksha; Noël Crespi; Xuechen Zhao; Mengzhu Wang; Nan Yin; Xinwang Liu 002; Zhigang Luo (Neurocomputing, 2024)