An Efficient Detector for the Key Components of the Power Transmission Lines. - Xiangcheng Liu; Qingzhou Dong; Youjun Xiang; Yuli Fu 001 (ICTAI, 2020)

An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution. - Wenyu Sun; Jian Cao; Pengtao Xu; Xiangcheng Liu; Pu Li (CoRR, 2020)

Review of the Pathology, Diagnosis and Treatment for Alzheimer's Disease. - Xiangcheng Liu (BIC, 2021)

AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance. - Xiangcheng Liu; Jian Cao; Hongyi Yao; Wenyu Sun; Yuan Zhang (CoRR, 2021)

An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution. - Wenyu Sun; Jian Cao 002; Pengtao Xu; Xiangcheng Liu; Yuan Zhang 020; Yuan Wang 001 (CVPR Workshops, 2022)

A free lunch from ViT: adaptive attention multi-scale fusion Transformer for fine-grained visual recognition. - Yuan Zhang 020; Jian Cao 002; Ling Zhang; Xiangcheng Liu; Zhiyi Wang; Feng Ling; Weiqian Chen (ICASSP, 2022)

RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization. - Hongyi Yao; Pu Li; Jian Cao; Xiangcheng Liu; Chenying Xie; Bingzhang Wang (IJCAI, 2022)

A complementary fully differential dynamic comparator with insensitive common-mode mismatch. - Yingyu Chen; Xiangcheng Liu; Zhangwen Tang; Jie He 003; Wei Hu (IEICE Electron. Express, 2022)

A 2.5-Vpp PVT-insensitive high dynamic range output stage using bulk voltages adjustment. - Xiangcheng Liu; Yingyu Chen; Zhangwen Tang (IEICE Electron. Express, 2022)

Channel Pruning Via Attention Module And Memory Curve. - Hufei Li; Jian Cao 002; Xiangcheng Liu; Jue Chen; Jingjie Shang; Yu Qian; Yuan Wang 001 (ICIP, 2023)

Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention. - Xiangcheng Liu; Tianyi Wu; Guodong Guo (IJCAI, 2023)

Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review. - Xing Hu 006; Xiangcheng Liu; Danfeng Hong; Qianqian Duan; Linghua Jiang; Haima Yang; Dawei Zhang 009 (CoRR, 2025)