Single Image Dehazing with White Balance Correction and Image Decomposition. - Renjie He; Zhiyong Wang 001; Hao Xiong 001; David Dagan Feng (DICTA, 2012)

Video Object Segmentation with Occlusion Map. - Hao Xiong 001; Zhiyong Wang 001; Renjie He; David Dagan Feng (DICTA, 2012)

Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair. - Hao Xiong 001; Tongliang Liu; Dacheng Tao (AAAI, 2016)

Deep Neural Networks with Relativity Learning for facial expression recognition. - Yanan Guo 003; Dapeng Tao; Jun Yu 002; Hao Xiong 001; Yaotang Li; Dacheng Tao (ICME Workshops, 2016)

Robust foreground object segmentation from handheld camera videos with occlusion map. - Hao Xiong 001; Zhiyong Wang 001; Renjie He; Dagan Feng 001 (Multim. Tools Appl., 2016)

Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing. - Hao Xiong 001; Tongliang Liu; Dacheng Tao; Heng Tao Shen (IEEE Trans. Image Process., 2016)

A Diversified Generative Latent Variable Model for WiFi-SLAM. - Hao Xiong 001; Dacheng Tao (AAAI, 2017)

Diversified Latent Variable Models. - Hao Xiong 001 (2018)

ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea. - Roneel V. Sharan; Shlomo Berkovsky; Hao Xiong 001; Enrico W. Coiera (EMBC, 2020)

Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model. - Hao Xiong 001; Shlomo Berkovsky; Roneel V. Sharan; Sidong Liu; Enrico W. Coiera (EMBC, 2020)

Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing. - Hao Xiong 001; Chaoyue Wang; Xinchao Wang; Dacheng Tao (IEEE Access, 2020)

Attention-based Long-term Modeling for Deep Visual Odometry. - Sangni Xu; Hao Xiong 001; Qiuxia Wu; Zhiyong Wang 001 (DICTA, 2021)

Detecting pertussis in the pediatric population using respiratory sound events and CNN. - Roneel V. Sharan; Shlomo Berkovsky; David Fraile Navarro; Hao Xiong 001; Adam Jaffe (Biomed. Signal Process. Control., 2021)

A diversified shared latent variable model for efficient image characteristics extraction and modelling. - Hao Xiong 001; Yuan Yan Tang; Fionn Murtagh; Leszek Rutkowski; Shlomo Berkovsky (Neurocomputing, 2021)

Prediction of anxiety disorders using a feature ensemble based bayesian neural network. - Hao Xiong 001; Shlomo Berkovsky; Mia Romano; Roneel V. Sharan; Sidong Liu; Enrico W. Coiera; Lauren F. McLellan (J. Biomed. Informatics, 2021)

Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks. - Roneel V. Sharan; Hao Xiong 001; Shlomo Berkovsky (Sensors, 2021)

Detecting Cough Recordings in Crowdsourced Data Using CNN-RNN. - Roneel V. Sharan; Hao Xiong 001; Shlomo Berkovsky (BHI, 2022)

Weak label based Bayesian U-Net for optic disc segmentation in fundus images. - Hao Xiong 001; Sidong Liu; Roneel V. Sharan; Enrico W. Coiera; Shlomo Berkovsky (Artif. Intell. Medicine, 2022)

Family informatics. - Enrico W. Coiera; Kathleen Yin; Roneel V. Sharan; Saba Akbar; Satya Vedantam; Hao Xiong 001; Jenny Waldie; Annie Y. S. Lau (J. Am. Medical Informatics Assoc., 2022)

Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach. - Hao Xiong 001; Hoai Nam Phan; Kathleen Yin; Shlomo Berkovsky; Joshua Jung; Annie Y. S. Lau (J. Am. Medical Informatics Assoc., 2022)

Denoising Cough Sound Recordings Using Neural Networks. - Laya Jose; Shlomo Berkovsky; Hao Xiong 001; Cecilia Mascolo; Roneel V. Sharan (EMBC, 2023)

Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning. - Sangni Xu; Hao Xiong 001; Qiuxia Wu; Tingting Yao; Zhihui Wang 001; Zhiyong Wang 001 (ICRA, 2023)

Evaluation of Cough Sound Segmentation Algorithms in the Presence of Background Noise. - Roneel V. Sharan; Hao Xiong 001 (EMBC, 2024)

Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation. - Chengyu Yuan; Hao Xiong 001; Guoqing Shangguan; Hualei Shen; Dong Liu; Haojie Zhang; Zhonghua Liu; Kun Qian 003; Bin Hu 001; Björn W. Schuller; Yoshiharu Yamamoto; Shlomo Berkovsky (ICASSP, 2024)

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. - Jianqiao Zhang 003; Hao Xiong 001; Qiangguo Jin; Tian Feng 001; Jiquan Ma; Ping Xuan; Peng Cheng; Zhiyuan Ning; Zhiyu Ning; Changyang Li; Linlin Wang; Hui Cui 002 (MICCAI (5), 2024)

Fast Online Adaptation of Visual SLAM via Variational Information Transfer and Preservation. - Sangni Xu; Hao Xiong 001; Qiuxia Wu; Zhihui Wang; Shlomo Berkovsky; Zhiyong Wang 001 (MMAsia, 2024)

Wet and dry cough classification using cough sound characteristics and machine learning: A systematic review. - Roneel V. Sharan; Hao Xiong 001 (Int. J. Medical Informatics, 2025)

Uncertainty-guided attention learning for malaria parasite detection in thick blood smears. - Hao Xiong 001; Zhiyong Wang 001; Roneel V. Sharan; Shlomo Berkovsky (Neural Networks, 2025)