Stochastic Loss Function. - Qingliang Liu 002; Jinmei Lai (AAAI, 2020)

TCP-Net: Minimizing Operation Counts of Binarized Neural Network Inference. - Qingliang Liu 002; Jiabao Gao; Jinmei Lai 001 (ISCAS, 2021)

An Efficient Channel-Aware Sparse Binarized Neural Networks Inference Accelerator. - Qingliang Liu 002; Jinmei Lai 001; Jiabao Gao (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

EdgeMedNet: Lightweight and Accurate U-Net for Implementing Efficient Medical Image Segmentation on Edge Devices. - Qingliang Liu 002; Shuai Zhou; Jinmei Lai 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

LightDepthNet: Lightweight CNN Architecture for Monocular Depth Estimation on Edge Devices. - Qingliang Liu 002; Shuai Zhou (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

LightFusion: Lightweight CNN Architecture for Enabling Efficient Sensor Fusion in Free Road Segmentation of Autonomous Driving. - Qingliang Liu 002; Shuai Zhou (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report. - Bin Ren; Hang Guo; Lei Sun 016; Zongwei Wu; Radu Timofte; Yawei Li 001; Yao Zhang; Xinning Chai; Zhengxue Cheng; Yingsheng Qin; Yucai Yang; Li Song; et al. (CoRR, 2025)