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Selecting and Composing Learning Rate Policies for Deep Neural Networks


Oct 24, 2022
Yanzhao Wu, Ling Liu

* To appear on ACM Transactions on Intelligent Systems and Technology. The source codes: LRBench (https://github.com/git-disl/LRBench

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The Brain-Inspired Cooperative Shared Control for Brain-Machine Interface


Oct 18, 2022
Shengjie Zheng, Ling Liu, Junjie Yang, Lang Qian, Gang Gao, Xin Chen, Wenqi Jin, Chunshan Deng, Xiaojian Li

* 16 pages, 16 figures 

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Gradient Leakage Attack Resilient Deep Learning


Dec 25, 2021
Wenqi Wei, Ling Liu

* Shorter version of this paper accepted by IEEE TIFS 

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Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering


Oct 22, 2021
Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li

* accepted by ACM Transactions on Information Systems(TOIS). arXiv admin note: text overlap with arXiv:2108.00705, arXiv:2108.03788 

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Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding


Oct 14, 2021
Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan


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Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images


Aug 18, 2021
Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong

* accepted by CIKM 2021. arXiv admin note: substantial text overlap with arXiv:2108.00705 

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Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning


Aug 08, 2021
Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong

* accepted by ACM ICMI 2021 conference 

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Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service


Aug 02, 2021
Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong

* accepted by IEEE Transactions on Services Computing 

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