Resolving Lexical Ambiguity in English-Japanese Neural Machine Translation. - Quang-Minh Do; Kungan Zeng; Incheon Paik (AICCC, 2020)

Web Service Composition Sequence Learning Based on Neural Language Networks. - Kungan Zeng; Incheon Paik (BigDataSE, 2020)

A Lightweight Transformer with Convolutional Attention. - Kungan Zeng; Incheon Paik (iCAST, 2020)

Dynamic Service Recommendation Using Lightweight BERT-based Service Embedding in Edge Computing. - Kungan Zeng; Incheon Paik (MCSoC, 2021)

Semantic Service Clustering With Lightweight BERT-Based Service Embedding Using Invocation Sequences. - Kungan Zeng; Incheon Paik (IEEE Access, 2021)

Web-based Automatic Deep Learning Service Generation System by Ontology Technologies. - Incheon Paik; Kungan Zeng; Munhan Bae (CSE, 2022)

Adaptive sparsity-regularized deep dictionary learning based on lifted proximal operator machine. - Zhenni Li; Ying Xie; Kungan Zeng; Shengli Xie; Banage T. G. S. Kumara (Knowl. Based Syst., 2023)

A Few-Shot Learning-Based Semi-Supervised Method to Enhance NLOS Recognition Accuracy Across Multiple Locations by Cross-Spatiotemporal Information. - Kungan Zeng; Zhenni Li; Shengli Xie; Qianming Wang; Wuhui Chen; Zibin Zheng (IEEE Trans. Instrum. Meas., 2024)

Web service embedding: Representing the invocation association between services with practical-valued vectors. - Kungan Zeng; Incheon Paik (Expert Syst. Appl., 2024)

A Spatiotemporal Information-Driven Cross-Attention Model With Sparse Representation for GNSS NLOS Signal Classification. - Kungan Zeng; Zhenni Li; Haoli Zhao; Kan Xie; Shengli Xie; Dusit Niyato; Wuhui Chen; Zibin Zheng (IEEE Internet Things J., 2024)

Mitigating NLOS Interference in GNSS Single-Point Positioning Based on Dual Self-Attention Networks. - Kungan Zeng; Qianming Wang; Jianhao Tang; Zhenni Li; Kan Xie; Shengli Xie (IEEE Internet Things J., 2025)

Enhanced Precise Point Positioning Method Based on Intelligent Identification of NLOS Signal. - Qianming Wang; Kan Xie; Zhenni Li; Kungan Zeng; Shengli Xie; Maodeng Li; Banage T. G. S. Kumara (IEEE Internet Things J., 2025)