Spatial Temporal Attentional Glimpse for Human Activity Classification in Video. - Jiangtao Kong; Rongchao Xu; Junliang Xing; Kai Li 022; Wei Ma (ICIP, 2019)

Global and Local Deep Feature Representation Fusion for Vehicle Re-Identification. - Xing Zhao Lee; Hao Wang; Jiangtao Kong; Chi Su; Junliang Xing; Shengmei Shen (VCIP, 2019)

RNN-based default logic for route planning in urban environments. - Jiangtao Kong; Jian Huang 010; Hongkai Yu; Hanqiang Deng; Jianxing Gong; Hao Chen 099 (Neurocomputing, 2019)

A new hybrid approach to improve the efficiency of homomorphic matching for graph rules. - Jiangtao Kong; Jian Huang 010; Hao Chen 099; Jianxing Gong (Knowl. Based Syst., 2019)

DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio. - Jiangtao Kong; Yu Cheng 009; Benjia Zhou; Kai Li 022; Junliang Xing (CoRR, 2020)

XCS with opponent modelling for concurrent reinforcement learners. - Hao Chen 099; Chang Wang 005; Jian Huang 010; Jiangtao Kong; Hanqiang Deng (Neurocomputing, 2020)

Condensed Prototype Replay for Class Incremental Learning. - Jiangtao Kong; Zhenyu Zong; Tianyi Zhou 001; Huajie Shao (CoRR, 2023)

Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning. - Jiangtao Kong; Jiacheng Shi; Ashley Gao; Shaohan Hu; Tianyi Zhou 001; Huajie Shao (CoRR, 2024)

YoooP: You Only Optimize One Prototype per Class for Non-Exemplar Incremental Learning. - Jiangtao Kong; Zhenyu Zong; Tianyi Zhou 001; Huajie Shao (Trans. Mach. Learn. Res., 2025)