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2020 – today
- 2023
[i2]Jiangtao Kong, Zhenyu Zong, Tianyi Zhou, Huajie Shao:
Condensed Prototype Replay for Class Incremental Learning. CoRR abs/2305.16143 (2023)- 2020
- [j3]Hao Chen
, Chang Wang, Jian Huang, Jiangtao Kong, Hanqiang Deng:
XCS with opponent modelling for concurrent reinforcement learners. Neurocomputing 399: 449-466 (2020) - [i1]Jiangtao Kong, Yu Cheng, Benjia Zhou, Kai Li, Junliang Xing:
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio. CoRR abs/2011.06228 (2020)
2010 – 2019
- 2019
- [j2]Jiangtao Kong, Jian Huang, Hongkai Yu, Hanqiang Deng, Jianxing Gong, Hao Chen:
RNN-based default logic for route planning in urban environments. Neurocomputing 338: 307-320 (2019) - [j1]Jiangtao Kong, Jian Huang, Hao Chen, Jianxing Gong:
A new hybrid approach to improve the efficiency of homomorphic matching for graph rules. Knowl. Based Syst. 182 (2019) - [c2]Jiangtao Kong, Rongchao Xu, Junliang Xing, Kai Li, Wei Ma:
Spatial Temporal Attentional Glimpse for Human Activity Classification in Video. ICIP 2019: 4040-4044 - [c1]Xing Zhao Lee, Hao Wang, Jiangtao Kong, Chi Su, Junliang Xing, Shengmei Shen:
Global and Local Deep Feature Representation Fusion for Vehicle Re-Identification. VCIP 2019: 1-4
Coauthor Index
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