Attendance and Security System Based on Building Video Surveillance. - Kailai Sun; Qianchuan Zhao; Jianhong Zou; Xiaoteng Ma (ICSCIB, 2018)

Cross-lingual Dependency Parsing as Domain Adaptation. - Kailai Sun; Zuchao Li; Hai Zhao 001 (CoRR, 2020)

Multilingual Pre-training with Universal Dependency Learning. - Kailai Sun; Zuchao Li; Hai Zhao 001 (NeurIPS, 2021)

MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection. - Kailai Sun; Xiaoteng Ma; Qianchuan Zhao; Peng Liu 008 (CoRR, 2021)

Research on Multi-temporal Cloud Removal Using D-S Evidence Theory and Cloud Segmentation Model. - Xinwei Wang; Kailai Sun; Qianchuan Zhao; Jianhong Zou (CICAI (1), 2022)

Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing. - Kailai Sun; Zuchao Li; Hai Zhao 001 (EMNLP, 2022)

Honeycomb: An open-source distributed system for smart buildings. - Tian Xing; Hu Yan; Kailai Sun; Yifan Wang 015; Xuetao Wang; Qianchuan Zhao (Patterns, 2022)

An interpretable clustering approach to safety climate analysis: examining driver group distinction in safety climate perceptions. - Kailai Sun; Tianxiang Lan; Yang Miang Goh; Sufiana Safiena; Yueng-Hsiang Huang; Bailey Lytle; Yimin He (CoRR, 2023)

A Learning-Based Method for Computing Control Barrier Functions of Nonlinear Systems With Control Constraints. - Ziyou Zhang; Qianchuan Zhao; Kailai Sun (IEEE Robotics Autom. Lett., 2023)

Cross-Lingual Universal Dependency Parsing Only From One Monolingual Treebank. - Kailai Sun; Zuchao Li; Hai Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Predicting trucking accidents with truck drivers 'safety climate perception across companies: A transfer learning approach. - Kailai Sun; Tianxiang Lan; Say Hong Kam; Yang Miang Goh; Yueng-Hsiang Huang (CoRR, 2024)

A Two-Stage Masked Autoencoder Based Network for Indoor Depth Completion. - Kailai Sun; Zhou Yang; Qianchuan Zhao (CoRR, 2024)

HCDN: A Change Detection Network for Construction Housekeeping Using Feature Fusion and Large Vision Models. - Kailai Sun; Zherui Shao; Yang Miang Goh; Jing Tian; Vincent J. L. Gan (CoRR, 2024)

Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling. - Anbang Liu; Peter B. Luh; Kailai Sun; Mikhail A. Bragin; Bing Yan (IEEE Trans Autom. Sci. Eng., 2024)

Towards pedestrian head tracking: A benchmark dataset and a multi-source data fusion network. - Kailai Sun; Xinwei Wang; Shaobo Liu; Qianchuan Zhao; Gao Huang 001; Chang Liu (Eng. Appl. Artif. Intell., 2025)

A review of AI edge devices and lightweight CNN and LLM deployment. - Kailai Sun; Xinwei Wang; Xi Miao; Qianchuan Zhao (Neurocomputing, 2025)

Overcoming imbalanced safety data using extended accident triangle. - Kailai Sun; Tianxiang Lan; Yang Miang Goh; Yueng-Hsiang Huang (Knowl. Based Syst., 2025)