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Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance

Oct 09, 2020
Sitong Mao, Jiaxin Chen, Xiao Shen, Fu-lai Chung


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Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning

Jul 24, 2020
Teng Liu, Wenhao Tan, Xiaolin Tang, Jiaxin Chen, Dongpu Cao

* 10 pages, 10 figures 

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Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition

Jul 16, 2020
Teng Liu, Xiaolin Tang, Jiaxin Chen, Hong Wang, Wenhao Tan, Yalian Yang

* 6 pages, 5 figures 

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Auto-Encoding Twin-Bottleneck Hashing

Mar 16, 2020
Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

* CVPR 2020 Accepted, Code at https://github.com/ymcidence/TBH 

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Variational Metric Scaling for Metric-Based Meta-Learning

Dec 26, 2019
Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-lai Chung

* Accepted by AAAI2020 

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Embarrassingly Simple Binary Representation Learning

Aug 26, 2019
Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu

* ICCV 2019 CEFRL4 Workshop 

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Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval

Jul 04, 2018
Jiaxin Chen, Yi Fang


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Scale Optimization for Full-Image-CNN Vehicle Detection

Feb 20, 2018
Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai, Gary Overett

* Accepted by 2017 IEEE Intelligent Vehicles Symposium (IV). Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7995812 

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Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders

Dec 06, 2017
Le Hui, Xiang Li, Jiaxin Chen, Hongliang He, Chen gong, Jian Yang


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