FITIC: A Few-shot Learning Based IoT Traffic Classification Method. - Wenxu Jia; Yipeng Wang 001; Yingxu Lai; Huijie He; Ruiping Yin (ICCCN, 2022)

A Few-Shot Learning Based Approach to IoT Traffic Classification. - Zijian Zhao; Yingxu Lai; Yipeng Wang 001; Wenxu Jia; Huijie He (IEEE Commun. Lett., 2022)

Multimodal rough set transformer for sentiment analysis and emotion recognition. - Xinwei Sun 004; Huijie He; Haoyang Tang; Kai Zeng; Tao Shen 004 (CCIS, 2023)

A data skew-based unknown traffic classification approach for TLS applications. - Huijie He; Yingxu Lai; Yipeng Wang 001; Siqi Le; Zijian Zhao (Future Gener. Comput. Syst., 2023)

A Two-Phase Approach to Fast and Accurate Classification of Encrypted Traffic. - Yipeng Wang 001; Huijie He; Yingxu Lai; Alex X. Liu (IEEE/ACM Trans. Netw., 2023)

A Multi-Perspective Feature Approach to Few-Shot Classification of IoT Traffic. - Xiaotian Ma; Yipeng Wang 001; Yingxu Lai; Wenxu Jia; Zijian Zhao; Huijie He; Ruiping Yin; Yige Chen (IEEE Trans. Green Commun. Netw., 2023)

Research on the Transformation of Digital Teaching and Learning Methods in Higher Education and Its Influencing Factors. - Huiqian He; Salwa Hanim Abdul-Rashid; Raja Ariffin Bin Raja Ghazilla; Huijie He (HCI (67), 2024)

Fuzzy preference matroids rough sets for approximate guided representation in transformer. - Kai Zeng; Xinwei Sun 004; Huijie He; Haoyang Tang; Tao Shen 004; Lei Zhang 110 (Expert Syst. Appl., 2024)

An adaptive classification and updating method for unknown network traffic in open environments. - Siqi Le; Yingxu Lai; Yipeng Wang 001; Huijie He (Comput. Networks, 2024)

Deep-Learning-Based Uncertainty-Estimation Approach for Unknown Traffic Identification. - Siqi Le; Yingxu Lai; Yipeng Wang 001; Huijie He (IEEE Trans. Artif. Intell., 2025)