Predicting Urban Traffic Flow Based on Deep Meta-learning. - Wenyan Zhu; Hoiio Kong; Wenzheng Cai; Wenhao Zhu (CAIBDA, 2024)

VEBiLSTM: A Neural Network for Field-Road Classification Using Enhanced Spatiotemporal Features. - Fengqi Hao; Xiyuan Zhao; Cunxiang Bian; Hoiio Kong; Xiangjun Dong 001; Jinqiang Bai (ICONIP (6), 2024)

Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning. - Senlin Fang; Yiwen Liu; Chengliang Liu 004; Jingnan Wang; Yuanzhe Su; Yupo Zhang; Hoiio Kong; Zhengkun Yi; Xinyu Wu 001 (ICRA, 2024)

Research on Optimization and Scheduling of MPTCP Data Networks in GNSS Network Reference Stations. - Fengqi Hao; Yuxin Wang; Hoiio Kong; Dexin Ma; Xiyuan Zhao (SMC, 2024)

Rapid Maize Seedling Detection Based on Receptive-Field and Cross-Dimensional Information Interaction. - Fengqi Hao; Shulei Zhu; Dexin Ma; Xiangjun Dong; Hoiio Kong; Xia Liu; Chunhua Mu (SMC, 2024)

An Efficient Model for Detection of Wood Surface Defects. - Fengqi Hao; Junjie Xia; Haigang Xu; Hoiio Kong; Qingyan Ding; Jinqiang Bai (CSCWD, 2025)

TS-CPC: A Self-supervised Framework for Trajectory Similarity with Contrastive Predictive Coding and Enhanced Augmentation. - Conghui Gao; Fengqi Hao; Jinqiang Bai; Yawen Hou; Qingyan Ding; Hoiio Kong (ICIC (8), 2025)

GSBF-YOLO: a lightweight model for tomato ripeness detection in natural environments. - Fengqi Hao; Zuyao Zhang; Dexin Ma; Hoiio Kong (J. Real Time Image Process., 2025)

Evetac Meets Sparse Probabilistic Spiking Neural Network: Enhancing Snap-Fit Recognition Efficiency and Performance. - Senlin Fang; Haoran Ding; Yangjun Liu; Jiashu Liu; Yupo Zhang; Yilin Li; Hoiio Kong; Zhengkun Yi (IEEE Robotics Autom. Lett., 2025)