Understanding the emotions behind social images: Inferring with user demographics. - Boya Wu; Jia Jia 001; Yang Yang 009; Peijun Zhao; Jie Tang 001 (ICME, 2015)

One-Dimensional Handwriting: Inputting Letters and Words on Smart Glasses. - Chun Yu; Ke Sun 003; Mingyuan Zhong 001; Xincheng Li; Peijun Zhao; Yuanchun Shi (CHI, 2016)

ViVo: Video-Augmented Dictionary for Vocabulary Learning. - Yeshuang Zhu; Yuntao Wang 001; Chun Yu; Shaoyun Shi; Yankai Zhang; Shuang He; Peijun Zhao; Xiaojuan Ma; Yuanchun Shi (CHI, 2017)

Inferring Emotional Tags From Social Images With User Demographics. - Boya Wu; Jia Jia 001; Yang Yang 009; Peijun Zhao; Jie Tang 001; Qi Tian 001 (IEEE Trans. Multim., 2017)

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics. - Chris Xiaoxuan Lu; Bowen Du 002; Peijun Zhao; Hongkai Wen 001; Yiran Shen 001; Andrew Markham; Niki Trigoni (UbiComp, 2018)

Simultaneous Localization and Mapping with Power Network Electromagnetic Field. - Chris Xiaoxuan Lu; Yang Li 147; Peijun Zhao; Changhao Chen; Linhai Xie; Hongkai Wen 001; Rui Tan 001; Niki Trigoni (MobiCom, 2018)

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers. - Chris Xiaoxuan Lu; Peijun Zhao; Bowen Du 002; Hongkai Wen 001; Andrew Markham; Stefano Rosa; Niki Trigoni (SenSys, 2018)

Analyzing and Predicting Emoji Usages in Social Media. - Peijun Zhao; Jia Jia 001; Yongsheng An; Jie Liang; Lexing Xie; Jiebo Luo 001 (WWW (Companion Volume), 2018)

OxIOD: The Dataset for Deep Inertial Odometry. - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang 226; Andrew Markham; Niki Trigoni (CoRR, 2018)

mID: Tracking and Identifying People with Millimeter Wave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Jianan Wang; Changhao Chen; Wei Wang 226; Niki Trigoni; Andrew Markham (DCOSS, 2019)

iSCAN: automatic speaker adaptation via iterative cross-modality association. - Yuanbo Xiangli; Chris Xiaoxuan Lu; Peijun Zhao; Changhao Chen; Andrew Markham (UbiComp/ISWC Adjunct, 2019)

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. - Wei Wang 226; Muhamad Risqi Utama Saputra; Peijun Zhao; Pedro P. B. de Gusmao; Bo Yang 027; Changhao Chen; Andrew Markham; Niki Trigoni (IROS, 2019)

Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data. - Chris Xiaoxuan Lu; Yuanbo Xiangli; Peijun Zhao; Changhao Chen; Niki Trigoni; Andrew Markham (IEEE Internet Things J., 2019)

AtLoc: Attention Guided Camera Localization. - Bing Wang 013; Changhao Chen; Chris Xiaoxuan Lu; Peijun Zhao; Niki Trigoni; Andrew Markham (AAAI, 2020)

Heart Rate Sensing with a Robot Mounted mmWave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Changhao Chen; Linhai Xie; Mengyu Wang; Niki Trigoni; Andrew Markham (ICRA, 2020)

See through smoke: robust indoor mapping with low-cost mmWave radar. - Chris Xiaoxuan Lu; Stefano Rosa; Peijun Zhao; Bing Wang 013; Changhao Chen; John A. Stankovic; Niki Trigoni; Andrew Markham (MobiSys, 2020)

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion. - Chris Xiaoxuan Lu; Muhamad Risqi Utama Saputra; Peijun Zhao; Yasin Almalioglu; Pedro P. B. de Gusmao; Changhao Chen; Ke Sun 012; Niki Trigoni; Andrew Markham (SenSys, 2020)

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference. - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang 226; Andrew Markham; Niki Trigoni (CoRR, 2020)

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. - Wei Wang 226; Bing Wang 013; Peijun Zhao; Changhao Chen; Ronald Clark; Bo Yang 027; Andrew Markham; Niki Trigoni (CoRR, 2020)

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion. - Chris Xiaoxuan Lu; Muhamad Risqi Utama Saputra; Peijun Zhao; Yasin Almalioglu; Pedro P. B. de Gusmao; Changhao Chen; Ke Sun 012; Niki Trigoni; Andrew Markham (CoRR, 2020)

3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (CoRR, 2020)

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference. - Changhao Chen; Peijun Zhao; Chris Xiaoxuan Lu; Wei Wang 226; Andrew Markham; Niki Trigoni (IEEE Internet Things J., 2020)

High-quality face image generation based on generative adversarial networks. - Zhixin Zhang; Xuhua Pan; Shuhao Jiang; Peijun Zhao (J. Vis. Commun. Image Represent., 2020)

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. - Bing Wang 013; Changhao Chen; Zhaopeng Cui; Jie Qin; Chris Xiaoxuan Lu; Zhengdi Yu; Peijun Zhao; Zhen Dong 005; Fan Zhu 001; Niki Trigoni; Andrew Markham (ICCV, 2021)

3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (ICRA, 2021)

Human tracking and identification through a millimeter wave radar. - Peijun Zhao; Chris Xiaoxuan Lu; Jianan Wang; Changhao Chen; Wei Wang 226; Niki Trigoni; Andrew Markham (Ad Hoc Networks, 2021)

mmPoint: Dense Human Point Cloud Generation from mmWave. - Qian Xie 001; Qianyi Deng; Ta Ying Cheng; Peijun Zhao; Amir Patel; Niki Trigoni; Andrew Markham (BMVC, 2023)

Motor Function Assessment of Children with Cerebral Palsy using Monocular Video. - Peijun Zhao; Moises Alencastre-Miranda; Zhan Shen; Ciaran O'Neill; David Whiteman; Javier Gervas-Arruga; Hermano Igo Krebs (BSN, 2023)

Degradation-Aware Transformer for Single Image Deraining. - Peijun Zhao; Tongjun Wang (IEEE Access, 2023)

Diastolic dysfunction assessed by cardiac magnetic resonance imaging tissue tracking on normal-thickness wall segments in hypertrophic cardiomyopathy. - Jinhan Qiao; Peijun Zhao; Jianyao Lu; Lu Huang; Xiaoling Ma; Xiaoyue Zhou; Liming Xia (BMC Medical Imaging, 2023)

Research on Visual SLAM Navigation Techniques for Dynamic Environments. - Tongjun Wang; Peijun Zhao (Int. J. Distributed Sens. Networks, 2023)

CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Niki Trigoni; Andrew Markham (IEEE Internet Things J., 2023)

Modeling Uncertainty in Computer Vision Based Gross Motor Function Assessment of Children with Cerebral Palsy. - Peijun Zhao; Moises Alencastre-Miranda; David Whiteman; Javier Gervas-Arruga; Hermano Igo Krebs (BioRob, 2024)

Enabling Home Rehabilitation with Smartphone-Powered Upper Limb Training. - Peijun Zhao; Hermano Igo Krebs (BioRob, 2024)

Distilling Knowledge in Vision-Based Human Motor Assessment for Improved Accuracy and Running Efficiency. - Peijun Zhao; Zhan Shen; Moises Alencastre-Miranda; David Whiteman; Javier Gervas-Arruga; Hermano Igo Krebs (BioRob, 2024)

milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing. - Fangqiang Ding; Zhen Luo; Peijun Zhao; Chris Xiaoxuan Lu (ECCV (24), 2024)

Identification of missing higher-order interactions in complex networks. - Chengjun Zhang; Suxun Wang; Wenbin Yu 002; Peijun Zhao; Yadang Chen; Jiarui Gu; Zhengju Ren; Jin Liu (J. Complex Networks, 2024)

Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI. - Yirong Zhou; Chengyan Wang; Mengtian Lu; Kunyuan Guo; Zi Wang 005; Dan Ruan; Rui Guo; Peijun Zhao; Jianhua Wang; Naiming Wu; Jianzhong Lin; Yinyin Chen; et al. (CoRR, 2024)

Improving Robustness of High-Low-Order Coupled Networks against Malicious Attacks Based on a Simulated Annealing Algorithm. - Chengjun Zhang; Yifan Xie; Yadang Chen; Wenbin Yu 002; Gaofeng Xiang; Peijun Zhao; Yi Lei (Entropy, 2024)

DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training. - Renyuan Liu; Yuyang Leng; Kaiyan Liu; Shaohan Hu; Chun-Fu Chen 001; Peijun Zhao; Heechul Yun; Shuochao Yao (CoRR, 2025)