A new data processing architecture for table tennis robot. - Jianran Liu; Zaojun Fang; Kun Zhang; Min Tan 001 (ROBIO, 2015)

Modeling the stroke process in table tennis robot using neural network. - Kun Zhang; Zaojun Fang; Jianran Liu; Min Tan 001 (ROBIO, 2015)

Supervised Learning via Unsupervised Sparse Autoencoder. - Jianran Liu; Chan Li; Wenyuan Yang (IEEE Access, 2018)

Real-Time Visual Measurement With Opponent Hitting Behavior for Table Tennis Robot. - Kun Zhang; Zhiqiang Cao; Jianran Liu; Zaojun Fang; Min Tan 001 (IEEE Trans. Instrum. Meas., 2018)

Sparse autoencoder for social image understanding. - Jianran Liu; Shiping Wang; Wenyuan Yang (Neurocomputing, 2019)

PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation. - Yisheng He; Wei Sun 029; Haibin Huang; Jianran Liu; Haoqiang Fan; Jian Sun 001 (CVPR, 2020)

Crowd intelligence evolution based on complex network. - Jianran Liu; Wen Ji (Int. J. Crowd Sci., 2021)

An anomaly detection approach based on hybrid differential evolution and K-means clustering in crowd intelligence. - Jianran Liu; Bing Liang; Wen Ji (Int. J. Crowd Sci., 2021)

A dual neural network for object detection in UAV images. - Gangyi Tian; Jianran Liu; Wenyuan Yang (Neurocomputing, 2021)

Super-resolution network-based fractional-pixel motion compensation. - Zhensen Chen; Jianran Liu; Jingmin Yang; Wenyuan Yang (Signal Image Video Process., 2021)

Small object detection via dual inspection mechanism for UAV visual images. - Gangyi Tian; Jianran Liu; Hong Zhao 002; Wenyuan Yang (Appl. Intell., 2022)

Evolution of Agents in the Case of a Balanced Diet. - Jianran Liu; Wen Ji (Int. J. Crowd Sci., 2022)

End-to-End Image Compression Through Machine Semantics. - Jianran Liu; Chang Zhang; Wen Ji (IFTC (2), 2023)

RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-wave Point Cloud Sequence. - Zengyuan Lai; Jiarui Yang; Songpengcheng Xia; Lizhou Lin; Lan Sun; Renwen Wang; Jianran Liu; Qi Wu 007; Ling Pei (CoRR, 2025)