Hao Xiong

31 papers A* 4Misc 4Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
BraTS-UMamba: Adaptive Mamba UNet with Dual-Band Frequency Based Feature Enhancement for Brain Tumor Segmentation.
MICCAI (16)
Haoran Yao, Hao Xiong, Dong Liu, Hualei Shen, Shlomo Berkovsky
2025 A* conf
DSDGF-Nutri: A Decoupled Self-Distillation Network with Gating Fusion For Food Nutritional Assessment.
ACM Multimedia
Sujuan Hou, Zhihui Feng, Hao Xiong, Weiqing Min, Peng Li, Shuqiang Jiang
2025 — conf
Distributed Radar Imaging with Parallel Cross-Attention for Continuous Human Motion Recognition.
VTC2025-Spring
Jianqiao Zhang, Yijie Gao, Hao Xiong, Jiquan Ma, Qiangguo Jin, Changyang Li, Peng Cheng, Hui Cui
2025 J jnl
Uncertainty-guided attention learning for malaria parasite detection in thick blood smears.
Neural Networks
Hao Xiong, Zhiyong Wang, Roneel V. Sharan, Shlomo Berkovsky
2025 J jnl
Wet and dry cough classification using cough sound characteristics and machine learning: A systematic review.
Int. J. Medical Informatics
Roneel V. Sharan, Hao Xiong
2024 — conf
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis.
MICCAI (5)
Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui
2024 Misc conf
Deep Fusion of Shifted MLP and CNN for Medical Image Segmentation.
ICASSP
Chengyu Yuan, Hao Xiong, Guoqing Shangguan, Hualei Shen, Dong Liu, Haojie Zhang, Zhonghua Liu, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto, Shlomo Berkovsky
2024 — conf
Evaluation of Cough Sound Segmentation Algorithms in the Presence of Background Noise.
EMBC
Roneel V. Sharan, Hao Xiong
2024 — conf
Fast Online Adaptation of Visual SLAM via Variational Information Transfer and Preservation.
MMAsia
Sangni Xu, Hao Xiong, Qiuxia Wu, Zhihui Wang, Shlomo Berkovsky, Zhiyong Wang
2023 — conf
Denoising Cough Sound Recordings Using Neural Networks.
EMBC
Laya Jose, Shlomo Berkovsky, Hao Xiong, Cecilia Mascolo, Roneel V. Sharan
2023 A* conf
Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning.
ICRA
Sangni Xu, Hao Xiong, Qiuxia Wu, Tingting Yao, Zhihui Wang, Zhiyong Wang
2022 — conf
Detecting Cough Recordings in Crowdsourced Data Using CNN-RNN.
BHI
Roneel V. Sharan, Hao Xiong, Shlomo Berkovsky
2022 J jnl
Family informatics.
J. Am. Medical Informatics Assoc.
Enrico W. Coiera, Kathleen Yin, Roneel V. Sharan, Saba Akbar, Satya Vedantam, Hao Xiong, Jenny Waldie, Annie Y. S. Lau
2022 J jnl
Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach.
J. Am. Medical Informatics Assoc.
Hao Xiong, Hoai Nam Phan, Kathleen Yin, Shlomo Berkovsky, Joshua Jung, Annie Y. S. Lau
2022 J jnl
Weak label based Bayesian U-Net for optic disc segmentation in fundus images.
Artif. Intell. Medicine
Hao Xiong, Sidong Liu, Roneel V. Sharan, Enrico W. Coiera, Shlomo Berkovsky
2021 J jnl
A diversified shared latent variable model for efficient image characteristics extraction and modelling.
Neurocomputing
Hao Xiong, Yuan Yan Tang, Fionn Murtagh, Leszek Rutkowski, Shlomo Berkovsky
2021 Misc conf
Attention-based Long-term Modeling for Deep Visual Odometry.
DICTA
Sangni Xu, Hao Xiong, Qiuxia Wu, Zhiyong Wang
2021 J jnl
Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks.
Sensors
Roneel V. Sharan, Hao Xiong, Shlomo Berkovsky
2021 J jnl
Detecting pertussis in the pediatric population using respiratory sound events and CNN.
Biomed. Signal Process. Control.
Roneel V. Sharan, Shlomo Berkovsky, David Fraile Navarro, Hao Xiong, Adam Jaffe
2021 J jnl
Prediction of anxiety disorders using a feature ensemble based bayesian neural network.
J. Biomed. Informatics
Hao Xiong, Shlomo Berkovsky, Mia Romano, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera, Lauren F. McLellan
2020 J jnl
Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing.
IEEE Access
Hao Xiong, Chaoyue Wang, Xinchao Wang, Dacheng Tao
2020 — conf
ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea.
EMBC
Roneel V. Sharan, Shlomo Berkovsky, Hao Xiong, Enrico W. Coiera
2020 — conf
Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model.
EMBC
Hao Xiong, Shlomo Berkovsky, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera
2018 — —
Diversified Latent Variable Models.
Hao Xiong
2017 A* conf
A Diversified Generative Latent Variable Model for WiFi-SLAM.
AAAI
Hao Xiong, Dacheng Tao
2016 — conf
Deep Neural Networks with Relativity Learning for facial expression recognition.
ICME Workshops
Yanan Guo, Dapeng Tao, Jun Yu, Hao Xiong, Yaotang Li, Dacheng Tao
2016 A* conf
Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair.
AAAI
Hao Xiong, Tongliang Liu, Dacheng Tao
2016 J jnl
Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing.
IEEE Trans. Image Process.
Hao Xiong, Tongliang Liu, Dacheng Tao, Heng Tao Shen
2016 J jnl
Robust foreground object segmentation from handheld camera videos with occlusion map.
Multim. Tools Appl.
Hao Xiong, Zhiyong Wang, Renjie He, Dagan Feng
2012 Misc conf
Single Image Dehazing with White Balance Correction and Image Decomposition.
DICTA
Renjie He, Zhiyong Wang, Hao Xiong, David Dagan Feng
2012 Misc conf
Video Object Segmentation with Occlusion Map.
DICTA
Hao Xiong, Zhiyong Wang, Renjie He, David Dagan Feng