Chengliang Liu

Information Recovery-Driven Deep Incomplete Multi-view Clustering Network

Apr 02, 2023
Chengliang Liu, Jie Wen, Zhihao Wu, Xiaoling Luo, Chao Huang, Yong Xu

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* Please contact me if you have any questions: [email protected]. The code will be opened upon acceptance

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Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification

Mar 30, 2023
Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang

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* Please contact me if you have any questions: [email protected]

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DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification

Mar 23, 2023
Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu

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* Accepted to AAAI-2023, code is available at https://github.com/justsmart/DICNet

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Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers

Mar 13, 2023
Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu

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* Accepted to AAAI-23

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Localized Sparse Incomplete Multi-view Clustering

Aug 05, 2022
Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu

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* Published in IEEE Transactions on Multimedia (TMM). The code is available in Github https://github.com/justsmart/LSIMVC

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Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration

Sep 27, 2021
Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang

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* This paper is accepted at The 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT 2021) (https://conferences.ieee.org/conferences_events/conferences/conferencedetails/53730) and nominated as the "best paper"

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Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

Sep 03, 2021
Chun-Mei Feng, Yunlu Yan, Chengliang Liu, Huazhu Fu, Yong Xu, Ling Shao

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* arXiv admin note: text overlap with arXiv:2105.08949

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Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control

Feb 27, 2020
Ke Lin, Liang Gong, Xudong Li, Te Sun, Binhao Chen, Chengliang Liu, Zhengfeng Zhang, Jian Pu, Junping Zhang

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