Rate-Distortion Optimized Transmission Power Adaptation for Video Streaming over Wireless Channels. - Zhiquan He; Wenjun Zeng 001 (ICIP, 2006)

Physiological Function Assessment Based on RGB-D Camera. - Wenming Cao 001; Jianqi Zhong; Guitao Cao; Zhiquan He (ICME Workshops, 2018)

Supplementary Virtual Keypoints of Weight-Based Correspondences for Occluded Object Tracking. - Wenming Cao 001; Yuhong Li; Zhihai He; Guitao Cao; Zhiquan He (IEEE Access, 2018)

Multimodal Medical Image Registration Based on Feature Spheres in Geometric Algebra. - Wenming Cao 001; Fangfang Lyu; Zhihai He; Guitao Cao; Zhiquan He (IEEE Access, 2018)

Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection. - Wenming Cao 001; Jianhe Yuan; Zhihai He; Zhi Zhang 005; Zhiquan He (IEEE Access, 2018)

Reweighted Low-Rank Matrix Analysis With Structural Smoothness for Image Denoising. - Hengyou Wang; Yigang Cen; Zhiquan He; Zhihai He; Ruizhen Zhao; Fengzhen Zhang (IEEE Trans. Image Process., 2018)

Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation. - Guanghan Ning; Zhi Zhang 005; Zhiquan He (IEEE Trans. Multim., 2018)

Geometric Algebra Representation and Ensemble Action Classification Method for 3D Skeleton Orientation Data. - Wenming Cao 001; Yitao Lu; Zhiquan He (IEEE Access, 2019)

Weighted Optical Flow Prediction and Attention Model for Object Tracking. - Wenming Cao 001; Yuhong Li; Zhiquan He (IEEE Access, 2019)

Physiological Function Assessment Based on Kinect V2. - Wenming Cao 001; Jianqi Zhong; Guitao Cao; Zhiquan He (IEEE Access, 2019)

Hybrid representation learning for cross-modal retrieval. - Wenming Cao 001; Qiubin Lin; Zhihai He; Zhiquan He (Neurocomputing, 2019)

Review of Pavement Defect Detection Methods. - Wenming Cao 001; Qifan Liu; Zhiquan He (IEEE Access, 2020)

A Comprehensive Survey on Geometric Deep Learning. - Wenming Cao 001; Zhiyue Yan; Zhiquan He; Zhihai He (IEEE Access, 2020)

Object Tracking Based on Channel Attention. - Zhiquan He; Xuejun Chen (IEEE Access, 2020)

Deep Regression Neural Network for Industrial Surface Defect Detection. - Zhiquan He; Qifan Liu (IEEE Access, 2020)

Semantic deep cross-modal hashing. - Qiubin Lin; Wenming Cao 001; Zhihai He; Zhiquan He (Neurocomputing, 2020)

Residual Proportion Multilayer Perceptron For Few-Shot Classification. - Qifan Liu; Zhineng Zhao; Wenming Cao 001; Zhiquan He (ICME Workshops, 2021)

Deformable adversarial registration network with multiple loss constraints. - Yi Luo; Wenming Cao 001; Zhiquan He; Wenlan Zou; Zhihai He (Comput. Medical Imaging Graph., 2021)

Progressive anatomically constrained deep neural network for 3D deformable medical image registration. - Zhiyuan Zheng; Wenming Cao 001; Zhiquan He; Yi Luo (Neurocomputing, 2021)

A cascaded registration network RCINet with segmentation mask. - Wenlan Zou; Yi Luo; Wenming Cao 001; Zhiquan He; Zhihai He (Neural Comput. Appl., 2021)

Mask Cross-Modal Hashing Networks. - Qiubin Lin; Wenming Cao 001; Zhiquan He; Zhihai He (IEEE Trans. Multim., 2021)

Level-wise aligned dual networks for text-video retrieval. - Qiubin Lin; Wenming Cao 001; Zhiquan He (EURASIP J. Adv. Signal Process., 2022)

Implicit user relationships across sessions enhanced graph for session-based recommendation. - Wenming Cao 001; Yishan Liu; Guitao Cao; Zhiquan He (Inf. Sci., 2022)

Multi-level context-driven interaction modeling for human future trajectory prediction. - Zhiquan He; Hao Sun 024; Wenming Cao 001; Henry Z. He (Neural Comput. Appl., 2022)

MSCAP: DNA Methylation Age Predictor based on Multiscale Convolutional Neural Network. - Han Wang 028; Ruirui Cai; Xizeng Zong; Zhiquan He; Li Zhang (BIBM, 2023)

Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features. - Han Wang 028; Jingtong Zhao; Shengkun Wang; Zhiquan He; Xike Ouyang; Ting Gao (BIBM, 2023)

Adversarial Defense based on Image Style Transfer. - Zhiquan He; Jiantu Lv; Xujia Lan (CCIS, 2023)

Surgical Instrument Segmentation Based on Geometric-aware Semi-supervised Contrastive Learning. - Zhiquan He; Jingli Qiu (CCIS, 2023)

Deformable image registration with attention-guided fusion of multi-scale deformation fields. - Zhiquan He; Yupeng He; Wenming Cao 001 (Appl. Intell., 2023)

MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions. - Li Zhang; Wenhao Li; Haotian Guan; Zhiquan He; Mingjun Cheng; Han Wang 028 (CoRR, 2023)

Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement. - Zhiquan He; Donghong Zheng; Hengyou Wang (Frontiers Comput. Neurosci., 2023)

Accurate few-shot object counting with Hough matching feature enhancement. - Zhiquan He; Donghong Zheng; Hengyou Wang (Frontiers Comput. Neurosci., 2023)

An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction. - Zhiquan He; Lujun Zhang; Hengyou Wang (Frontiers Comput. Neurosci., 2023)

Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction. - Zhiquan He; Lujun Zhang; Hengyou Wang (Frontiers Comput. Neurosci., 2023)

Multi-layer noise reshaping and perceptual optimization for effective adversarial attack of images. - Zhiquan He; Xujia Lan; Jianhe Yuan; Wenming Cao 001 (Appl. Intell., 2023)

Contrastive Bayesian Analysis for Deep Metric Learning. - Shichao Kan; Zhiquan He; Yigang Cen; Yang Li 091; Vladimir Mladenovic; Zhihai He (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A novel sample and feature dependent ensemble approach for Parkinson's disease detection. - Liaqat Ali; Chinmay Chakraborty; Zhiquan He; Wenming Cao 001; Yakubu Imrana; Joel J. P. C. Rodrigues (Neural Comput. Appl., 2023)

Correction to: Multi-level context-driven interaction modeling for human future trajectory prediction. - Zhiquan He; Hao Sun 024; Wenming Cao 001; Henry Z. He (Neural Comput. Appl., 2023)

Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains. - Wu Ran; Peirong Ma; Zhiquan He; Hao Ren 002; Hong Lu 001 (ICLR, 2024)

Rainmer: Learning Multi-view Representations for Comprehensive Image Deraining and Beyond. - Wu Ran; Peirong Ma; Zhiquan He; Hong Lu 001 (ACM Multimedia, 2024)

Representation modeling learning with multi-domain decoupling for unsupervised skeleton-based action recognition. - Zhiquan He; Jiantu Lv; Shizhang Fang (Neurocomputing, 2024)

ragBERT: Relationship-aligned and grammar-wise BERT model for image captioning. - Hengyou Wang; Kani Song; Xiang Jiang 008; Zhiquan He (Image Vis. Comput., 2024)

Low-rank matrix recovery with total generalized variation for defending adversarial examples. - Wen Li; Hengyou Wang; Lianzhi Huo; Qiang He 003; Linlin Chen; Zhiquan He; Wing W. Y. Ng (Frontiers Inf. Technol. Electron. Eng., 2024)

Low-Light Image Enhancement With Multi-Scale Attention and Frequency-Domain Optimization. - Zhiquan He; Wu Ran; Shulin Liu; Kehua Li; Jiawen Lu; Chang-Yong Xie; Yong Liu; Hong Lu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Transferable Generative Framework for Multi-Label Zero-Shot Learning. - Peirong Ma; Zhiquan He; Wu Ran; Hong Lu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Gradient multi-foci networks for 3D skeleton-based human motion prediction. - Junyu Shi; Jianqi Zhong; Zhiquan He; Wenming Cao 001 (Neural Comput. Appl., 2024)

PANet: Pluralistic Attention Network for Few-Shot Image Classification. - Wenming Cao 001; Tianyuan Li; Qifan Liu; Zhiquan He (Neural Process. Lett., 2024)

Enhancing 3D medical image registration with cross attention, residual skips, and cascade attention. - Muhammad Anwar; Zhiquan He; Wenming Cao 001 (Intell. Data Anal., 2025)

Defect image generation through feature disentanglement using StyleGAN2-ADA. - Zhiquan He; Kangxing Wu; Yang Wen (Neurocomputing, 2025)

Dual stream fusion module integrating 2D and 3D for 3D semi-supervised medical image segmentation. - Zhiquan He; Yating Ouyang; Yang Wen (Signal Image Video Process., 2025)