Robust Scene Text Detection for Multi-script Languages Using Deep Learning. - Ruo-Ze Liu; Xin Sun 009; Hailiang Xu; Palaiahnakote Shivakumara; Feng Su; Tong Lu; Ruoyu Yang (MMM (1), 2017)

Shape Robust Text Detection with Progressive Scale Expansion Network. - Xiang Li 041; Wenhai Wang; Wenbo Hou; Ruo-Ze Liu; Tong Lu; Jian Yang 003 (CoRR, 2018)

On Reinforcement Learning for Full-Length Game of StarCraft. - Zhen-Jia Pang; Ruo-Ze Liu; Zhou-Yu Meng; Yi Zhang 108; Yang Yu 001; Tong Lu (AAAI, 2019)

Cropout: A General Mechanism for Reducing Overfitting on Convolutional Neural Networks. - Wenbo Hou; Wenhai Wang; Ruo-Ze Liu; Tong Lu (IJCNN, 2019)

A Novel Group-Aware Pruning Method for Few-shot Learning. - Yin-Dong Zheng; Yun-Tao Ma; Ruo-Ze Liu; Tong Lu (IJCNN, 2019)

Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II. - Ruo-Ze Liu; Haifeng Guo; Xiaozhong Ji; Yang Yu 001; Zitai Xiao; Yuzhou Wu; Zhen-Jia Pang; Tong Lu (CoRR, 2019)

SEE-LPR: A Semantic Segmentation Based End-to-End System for Unconstrained License Plate Detection and Recognition. - Dongqi Tang; Hao Kong; Xi Meng; Ruo-Ze Liu; Tong Lu (MMM (1), 2020)

Novelty-Prepared Few-Shot Classification. - Chao Wang; Ruo-Ze Liu; Han-Jia Ye; Yang Yu 001 (CoRR, 2020)

A Novel Attention Enhanced Residual-In-Residual Dense Network for Text Image Super-Resolution. - Minglong Xue; Zhiheng Huang; Ruo-Ze Liu; Tong Lu (ICME, 2021)

An Introduction of mini-AlphaStar. - Ruo-Ze Liu; Wenhai Wang; Yanjie Shen; Zhiqi Li; Yang Yu 001; Tong Lu (CoRR, 2021)

Rethinking of AlphaStar. - Ruo-Ze Liu (CoRR, 2021)

On Efficient Reinforcement Learning for Full-length Game of StarCraft II. - Ruo-Ze Liu; Zhen-Jia Pang; Zhou-Yu Meng; Wenhai Wang; Yang Yu 001; Tong Lu (J. Artif. Intell. Res., 2022)

Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning. - Ruo-Ze Liu; Haifeng Guo; Xiaozhong Ji; Yang Yu 001; Zhen-Jia Pang; Zitai Xiao; Yuzhou Wu; Tong Lu (IEEE Trans. Games, 2022)

Revisiting of AlphaStar. - Ruo-Ze Liu; Yanjie Shen; Yang Yu 001; Tong Lu (IEEE Trans. Games, 2024)