Stacked Overcomplete Independent Component Analysis for Action Recognition. - Zhikang Liu; Ye Tian; Zilei Wang (ACCV (2), 2016)

Improving human action recognitionby temporal attention. - Zhikang Liu; Ye Tian; Zilei Wang (ICIP, 2017)

Action recognition with low observational latency via part movement model. - Zhikang Liu; Zilei Wang (Multim. Tools Appl., 2017)

SMC: Single-Stage Multi-location Convolutional Network for Temporal Action Detection. - Zhikang Liu; Zilei Wang; Yan Zhao; Ye Tian (ACCV (2), 2018)

自动驾驶场景中增强深度学习的时空特征提取方法 (Spatio-temporal Features Extraction of Traffic Based on Deep Neural Network). - Jie Jing; Tan Chen; Wenli Du; Zhikang Liu; Hao Yin (计算机科学, 2019)

An effective digitization method for CTG paper report with binary background grids taken by smartphone. - Zhidong Zhao; Zhikang Liu; Yingsong Si; Yu Zhang 077; Haihui Ye (Comput. Methods Programs Biomed., 2021)

Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing. - Xianglong Tan; Zhikang Liu; Chen Yu; Andre Rosendo (CoRR, 2021)

Label-guided Attention Distillation for lane segmentation. - Zhikang Liu; Lanyun Zhu (Neurocomputing, 2021)

Rearranging the Environment to Maximize Energy with a Robotic Circuit Drawing. - Xianglong Tan; Zhikang Liu; Chen Yu; Sören Schwertfeger; Andre Rosendo (ROBIO, 2022)

GTMS: A Gated Linear Unit Based Trust Management System for Internet of Vehicles Using Blockchain Technology. - Yong Kuang; Hongyun Xu; Rui Jiang 006; Zhikang Liu (TrustCom, 2022)

Spatial-Temporal Attentive LSTM for Vehicle-Trajectory Prediction. - Rui Jiang 006; Hongyun Xu; Gelian Gong; Yong Kuang; Zhikang Liu (ISPRS Int. J. Geo Inf., 2022)

SimpleNet: A Simple Network for Image Anomaly Detection and Localization. - Zhikang Liu; Yiming Zhou; Yuansheng Xu; Zilei Wang (CVPR, 2023)

SVMDformer: A Semi-Supervised Vehicular Misbehavior Detection Framework Based on Transformer in IoV. - Zhikang Liu; Hongyun Xu; Yong Kuang; Feng Li (ICDCS, 2023)

High-Accurate Robust Total Variation Denoising Algorithm With Adjustable Exponential Upper Bound Function for Micro-Thrust Measurement. - Zhikang Liu; Xingyu Chen; Jiawen Xu; Chengxin Zhang; Luxiang Xu; Ning Guo; Liye Zhao; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2023)

An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors. - Ruixuan Wang; Zhikang Liu; Jiahao Gong; Qingping Zhou; Xiaoqing Guan; Guangbo Ge (J. Chem. Inf. Model., 2023)

A Self-Supervised Contrastive Denoising Autoencoder-Based Noise Suppression Method for Micro Thrust Measurement Signals Processing. - Xingyu Chen; Liye Zhao; Jiawen Xu; Zhikang Liu; Chengxin Zhang; Luxiang Xu; Ning Guo (IEEE Trans. Instrum. Meas., 2024)

MGMA-DTI: Drug target interaction prediction using multi-order gated convolution and multi-attention fusion. - Chang Li; Jia Mi; Han Wang; Zhikang Liu; Jingyang Gao; Jing Wan (Comput. Biol. Chem., 2025)

A High-Generalization Variational Denoising Autoencoder for Micronewton Thrust Signal Noise Removal and Step Reconstruction. - Xingyu Chen; Liye Zhao; Jiawen Xu; Zhikang Liu; Zhuoping Dai; Luxiang Xu; Ning Guo; Hong Zhang 062 (IEEE Trans. Instrum. Meas., 2025)

TokenFLEX: Unified VLM Training for Flexible Visual Tokens Inference. - Junshan Hu; Jialiang Mao; Zhikang Liu; Zhongpu Xia; Peng Jia; Xianpeng Lang (CoRR, 2025)

UltraADV: An Unsupervised Deep Learning Lightweight Framework for Anomaly Detection in V2X. - Weixian Huang; Hongyun Xu; Yujing Gong; Zhikang Liu; Feng Li; Zhihui Lin; Bin-Jie Hu (IEEE Internet Things J., 2025)