Single image super-resolution via learned representative features and sparse manifold embedding. - Liao Zhang; Shuyuan Yang 001; Jiren Zhang; Licheng Jiao (IJCNN, 2014)

Dual-Geometric Neighbor Embedding for Image Super Resolution With Sparse Tensor. - Shuyuan Yang 001; Zhiyi Wang; Liao Zhang; Min Wang 007 (IEEE Trans. Image Process., 2014)

An Implementation of SCADA Network Security Testbed. - Liao Zhang (CoRR, 2017)

Transients of Synchronous Serial Production Lines with Non-Exponential Reliability Machines. - Mengzhuo Yang; Liao Zhang; Peter Denno (CASE, 2018)

Using the SVM Method for Lung Adenocarcinoma Prognosis Based on Expression Level. - Tianqin Li; Mingzhe Hu; Liao Zhang (ICCBB, 2018)

An Optimal Designed Compensator for PSR Flyback Converters Based on Genetic Algorithm. - Tianyuan Tang; Ping Luo 005; Chengda Deng; Qiang Wang; Liao Zhang; Bo Zhang 027 (ASICON, 2019)

Multi-Level Residual Up-Projection Activation Network for Image Super-Resolution. - Yan Shen; Liao Zhang; Zhongli Wang; Xiaoli Hao; Ya-Li Hou (ICIP, 2019)

LSTM for SCADA Intrusion Detection. - Jun Gao; Luyun Gan; Fabiola Buschendorf; Liao Zhang; Hua Liu; Peixue Li; Xiaodai Dong; Tao Lu 002 (PACRIM, 2019)

Dense Activation Network for Image Denoising. - Yan Shen; Liao Zhang; Shuqin Lou; Zhongli Wang (PRCV (2), 2019)

Learning Object Scale With Click Supervision for Object Detection. - Liao Zhang; Yan Yan 001; Lin Cheng; Hanzi Wang (IEEE Signal Process. Lett., 2019)

Online Machine Learning Techniques for Coq: A Comparison. - Liao Zhang; Lasse Blaauwbroek; Bartosz Piotrowski; Prokop Cerný; Cezary Kaliszyk; Josef Urban (CICM, 2021)

TSG: Target-Selective Gradient Backprop for Probing CNN Visual Saliency. - Lin Cheng; Pengfei Fang; Yanjie Liang; Liao Zhang; Chunhua Shen; Hanzi Wang (CoRR, 2021)

Deep multi-level up-projection network for single image super-resolution. - Yan Shen; Liao Zhang; Yun Chen; Yi Xie; Zhongli Wang; Xiaotao Shao (IET Image Process., 2021)

Omni SCADA Intrusion Detection Using Deep Learning Algorithms. - Jun Gao; Luyun Gan; Fabiola Buschendorf; Liao Zhang; Hua Liu; Peixue Li; Xiaodai Dong; Tao Lu 002 (IEEE Internet Things J., 2021)

Motif importance measurement based on multi-attribute decision. - Biao Feng; Yunyun Yang; Liao Zhang; Shuhong Xue; Xinlin Xie; Jiianrong Wang; Gang Xie 001 (J. Complex Networks, 2022)

TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency. - Lin Cheng; Pengfei Fang; Yanjie Liang; Liao Zhang; Chunhua Shen; Hanzi Wang (IEEE Trans. Image Process., 2022)

Learning Proof Transformations and Its Applications in Interactive Theorem Proving. - Liao Zhang; Lasse Blaauwbroek; Cezary Kaliszyk; Josef Urban (FroCoS, 2023)

Deep Reinforcement Learning for Distributed Coordinated Beamforming in Massive MIMO. - Jungang Ge; Liao Zhang; Ying-Chang Liang; Sumei Sun (PIMRC, 2023)

Design of Wireless Power Transmission System for Rebar Corrosion Monitoring Based on Electromagnetic Coupling. - Liao Zhang; Anning Yu; Hang Wu; Hao Xiang; Linmei Chen; Bo Zhou (CIPAE, 2024)

Reliability Analysis of Full Authority Digital Electronic Control System Based on Multi-state Binary Decision Diagram. - Liao Zhang; Yi-lin Zhang; Xu Yang; Zhong-chao Liu (ICSRS, 2024)

Transformers are Efficient Compilers, Provably. - Xiyu Zhai; Runlong Zhou; Liao Zhang; Simon Shaolei Du (CoRR, 2024)

Learning Rules Explaining Interactive Theorem Proving Tactic Prediction. - Liao Zhang; David M. Cerna; Cezary Kaliszyk (CoRR, 2024)

Automated Strategy Invention for Confluence of Term Rewrite Systems. - Liao Zhang; Fabian Mitterwallner; Jan Jakubuv; Cezary Kaliszyk (CoRR, 2024)

Deep Reinforcement Learning for Distributed Dynamic Coordinated Beamforming in Massive MIMO Cellular Networks. - Jungang Ge; Ying-Chang Liang; Liao Zhang; Ruizhe Long; Sumei Sun (IEEE Trans. Wirel. Commun., 2024)