Channel modeling based on ultra-wide bandwidth(UWB) radar in soil environment with different pH values. - Miao Liu; Fangqi Zhu; Jing Liang 002 (WCSP, 2014)

Air targets recognition using a fuzzy logic approach. - Fangqi Zhu; Jing Liang 002 (WCSP, 2014)

Fuzzy logic classifier design for air targets recognition based on HRRP. - Jing Liang 002; Fangqi Zhu (Phys. Commun., 2014)

Soil moisture retrieval using fuzzy logic based on UWB signals. - Fangqi Zhu; Huaiyuan Liu; Jing Liang 002 (WCSP, 2015)

Clustering in multi-hop radar sensor networks using fuzzy logic. - Yaoyue Hu; Fangqi Zhu; Jing Liang 002; Guodong Zhao 001 (INFOCOM Workshops, 2016)

Evaluating Spatial Resolution and Channel Capacity of Sparse Cylindrical Arrays for Massive MIMO. - Na Wu; Fangqi Zhu; Qilian Liang (IEEE Access, 2017)

Channel estimation for massive MIMO with 2-D nested array deployment. - Fangqi Zhu; Na Wu; Qilian Liang (Phys. Commun., 2017)

Soil pH Classification Based on LSTM via UWB Radar Echoes. - Tiantian Wang 003; Fangqi Zhu; Jing Liang 002 (CSPS (2), 2018)

Sequential Modeling for Polyps Identification from the Vocal Data. - Fangqi Zhu; Qilian Liang; Zhen Zhong (CSPS (2), 2018)

Soil Moisture Retrieval From UWB Sensor Data by Leveraging Fuzzy Logic. - Jing Liang 002; Fangqi Zhu (IEEE Access, 2018)

Radar HRRP Target Recognition Based on Concatenated Deep Neural Networks. - Kuo Liao; Jinxiu Si; Fangqi Zhu; Xudong He (IEEE Access, 2018)

Interactive Multi-model Tracking of a Highly Maneuvering Target using MSPDAF with Least Squares Virtual Fusion. - Qin Tang; Fangqi Zhu; Jing Liang 002 (GlobalSIP, 2019)

Information Theoretic Bounds for Sparse Reconstruction in Random Noise. - Junjie Chen 002; Fangqi Zhu; Qilian Liang (IEEE Access, 2019)

OCRNN: An orthogonal constrained recurrent neural network for sleep analysis based on EEG data. - Fangqi Zhu; Qilian Liang (Ad Hoc Networks, 2020)

Rethink of Orthographic Constraints on RNN and Its Application in Acoustic Sensor Data Modeling. - Fangqi Zhu; Qilian Liang (IEEE Internet Things J., 2022)

A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. - Fangqi Zhu; Jun Gao; Changlong Yu; Wei Wang 138; Chen Xu; Xin Mu; Min Yang 007; Ruifeng Xu 001 (AAAI, 2023)

A Diffusion Model for Event Skeleton Generation. - Fangqi Zhu; Lin Zhang; Jun Gao; Bing Qin 001; Ruifeng Xu 001; Haiqin Yang (ACL (Findings), 2023)

Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. - Fangqi Zhu; Yongqi Zhang; Lei Chen 072; Bing Qin 001; Ruifeng Xu 001 (EMNLP, 2023)

Exploring Spatiotemporal Patterns of Expressway Traffic Accidents Based on Density Clustering and Bayesian Network. - Yunfei Zhang; Fangqi Zhu; Qiuping Li; Zehang Qiu; Yajun Xie (ISPRS Int. J. Geo Inf., 2023)

Multisensors Fusion for Trajectory Tracking Based on Variational Normalizing Flow. - Qin Tang; Jing Liang 002; Fangqi Zhu (IEEE Trans. Geosci. Remote. Sens., 2023)

A comparative review on multi-modal sensors fusion based on deep learning. - Qin Tang; Jing Liang 002; Fangqi Zhu (Signal Process., 2023)

IRASim: Learning Interactive Real-Robot Action Simulators. - Fangqi Zhu; Hongtao Wu; Song Guo; Yuxiao Liu; Chilam Cheang; Tao Kong (CoRR, 2024)

Quantitative Estimation and Analysis of Spatiotemporal Delay Effects in Expressway Traffic Accidents. - Yunfei Zhang; Zhengrui Pan; Fangqi Zhu; Chaoyang Shi; Xue Yang (ISPRS Int. J. Geo Inf., 2024)

Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning. - Jian Liu; Jing Xu; Song Guo; Jing Li; Jingfeng Guo; Jiaao Yu; Haohan Weng; Biwen Lei; Xianghui Yang; Zhuo Chen; Fangqi Zhu; Tao Han; et al. (CoRR, 2025)