Wenhui Huang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 45

Top Topics

Diffusion Model

Reinforcement Learning

Retinal Fundus Images

Compressive Sensing

Top Venues

Publications

Zhitao Han, Wenhui Huang
Arbitrary scale super-resolution diffusion model for brain MRI images. Comput. Biol. Medicine 170 (2024)
Wenhui Huang, Zitong Shan, Shanhe Lou, Chen Lv
Uncertainty-aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance. ICRA (2024)
Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Haochen Liu, Zhiyu Huang, Wenhui Huang, Haohan Yang, Xiaoyu Mo, Chen Lv
Hybrid-Prediction Integrated Planning for Autonomous Driving. CoRR (2024)
Ruizhuo Xu, Ke Wang, Chao Deng, Mei Wang, Xi Chen, Wenhui Huang, Junlan Feng, Weihong Deng
Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition. CoRR (2024)
Wenhui Huang, Yunhan Lin, Mingxin Liu, Huasong Min
Velocity-aware spatial-temporal attention LSTM model for inverse dynamic model learning of manipulators. Frontiers Neurorobotics 18 (2024)
Jingzhen He, Jingqi Song, Zeyu Han, Min Cui, Baojun Li, Qingtao Gong, Wenhui Huang
Multi-spectral transformer with attention fusion for diabetic macular edema classification in multicolor image. Soft Comput. 28 (7) (2024)
Ruizhuo Xu, Ke Wang, Chao Deng, Mei Wang, Xi Chen, Wenhui Huang, Junlan Feng, Weihong Deng
Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition. Pattern Recognit. 145 (2024)
Wenqing Li, Wenhui Huang, Yuanjie Zheng
CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Wenhui Huang, Fengting Liu
HiDiffSeg: A hierarchical diffusion model for blood vessel segmentation in retinal fundus images. Expert Syst. Appl. 253 (2024)
Zhitao Han, Wenhui Huang
Prostate MRI Super-Resolution using Discrete Residual Diffusion Model. BIBM (2023)
Yuanjie Zheng, Yunshuai Yang, Tongtong Che, Sujuan Hou, Wenhui Huang, Yue Gao, Ping Tan
Image Matting With Deep Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Fengting Liu, Wenhui Huang
A Diffusion Model-Based Joint Dual-Task Network for Low-Quality Retinal Image Enhancement and Vessel Segmentation. BIBM (2023)
Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving. ITSC (2023)
Wenqing Li, Wenhui Huang
Joint Optic Disc and Cup Segmentation with Parallel Cooperative Diffusion Model. BIBM (2023)
Yizhan Zhuang, Fei Liu, Wenhui Huang, Shiwen Wang, Jianbo Jiang, Shangzhi Pan, Xiaoming Zha
A Peak Current Reducing Method for Input-Independent and Output-Series Modular Converters With LC-Branch-Based Power Balancing Unit. IEEE Trans. Ind. Electron. 70 (1) (2023)
Wenhui Huang, Yanxin Zhou, Xiangkun He, Chen Lv
Goal-guided Transformer-enabled Reinforcement Learning for Efficient Autonomous Navigation. CoRR (2023)
Junxia Wang, Yuanjie Zheng, Jun Ma, Xinmeng Li, Chongjing Wang, James Gee, Haipeng Wang, Wenhui Huang
Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation. Medical Image Anal. 83 (2023)
Mengxue Sun, Jiale Wang, Qingtao Gong, Wenhui Huang
Enhancing gland segmentation in colon histology images using an instance-aware diffusion model. Comput. Biol. Medicine 166 (2023)
Jiale Wang, Xinting Ge, Yunfeng Shi, Mengxue Sun, Qingtao Gong, Haipeng Wang, Wenhui Huang
Dual-Modal Information Bottleneck Network for Seizure Detection. Int. J. Neural Syst. 33 (1) (2023)
Mengxue Sun, Wenhui Huang, Yuanjie Zheng
Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images. MICCAI (6) (2023)
Zhiyu Huang, Haochen Liu, Jingda Wu, Wenhui Huang, Chen Lv
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving. CoRR (2023)
Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song
Glance and Focus Networks for Dynamic Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Mingxin Liu, Wenhui Huang, Huasong Min
Dynamic Model Learning for Robotic Manipulators using BiLSTM Networks. ROBIO (2022)
Gao Huang, Yulin Wang, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song
Glance and Focus Networks for Dynamic Visual Recognition. CoRR (2022)
Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang
Learning to Weight Samples for Dynamic Early-Exiting Networks. ECCV (11) (2022)
Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. ITSC (2022)
Wenhui Huang, Cong Zhang, Jingda Wu, Xiangkun He, Jie Zhang, Chen Lv
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration. CoRR (2022)
Wenhui Huang, Yanxin Zhou, Jianhuang Li, Chen Lv
Potential Hazard-Aware Adaptive Shared Control for Human-Robot Cooperative Driving in Unstructured Environment. ICARCV (2022)
Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang
Learning to Weight Samples for Dynamic Early-exiting Networks. CoRR (2022)
Jingda Wu, Wenhui Huang, Niels de Boer, Yanghui Mo, Xiangkun He, Chen Lv
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning. CoRR (2022)
Qingxia Wu, Wenhui Huang, Shuo Wang, He Yu, Liushu Wang, Zhangjie Wu, Yongbei Zhu, Zhenyu Liu, He Ma, Jie Tian
A generative adversarial network-based CT image standardization model for predicting progression-free survival of lung cancer. EMBC (2021)
Wenhui Huang, Jason Gu, Peiyong Duan, Sujuan Hou, Yuanjie Zheng
Exploiting Probabilistic Siamese Visual Tracking with a Conditional Variational Autoencoder. ICRA (2021)
Jingda Wu, Zhiyu Huang, Wenhui Huang, Chen Lv
Prioritized Experience-based Reinforcement Learning with Human Guidance: Methdology and Application to Autonomous Driving. CoRR (2021)
Wenhui Huang, Jason Gu, Yinchen Guo
Depth-Aware Object Tracking With a Conditional Variational Autoencoder. IEEE Access 9 (2021)
Sumin Ma, Wenhui Huang
Application of Deep Learning Algorithms in Determination of Trace Rare Earth Elements of Cerium Group in Rocks and Minerals. Wirel. Commun. Mob. Comput. 2021 (2021)
Wenhui Huang, Francesco Braghin, Zhuo Wang
Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning. CoRR (2020)
Wenhui Huang, Jason Gu, Xin Ma, Yibin Li
End-to-end multitask Siamese network with residual hierarchical attention for real-time object tracking. Appl. Intell. 50 (6) (2020)
Chengyang Zhuang, Yuanjie Zheng, Wenhui Huang, Weikuan Jia
Joint Fine-Grained Components Continuously Enhance Chinese Word Embeddings. IEEE Access 7 (2019)
Wenhui Huang, Francesco Braghin, Zhuo Wang
Learning to Drive via Apprenticeship Learning and Deep Reinforcement Learning. ICTAI (2019)
Wenhui Huang, Jason Gu, Xin Ma, Yibin Li
Correlation-Filter Based Scale-Adaptive Visual Tracking With Hybrid-Scheme Sample Learning. IEEE Access 6 (2018)
Wenhui Huang, Jason Gu, Xin Ma, Yibin Li
Self-paced model learning for robust visual tracking. J. Electronic Imaging 26 (1) (2017)
Wenhui Huang, Jason Gu, Xin Ma, Yibin Li
Correlation filter-based self-paced object tracking. ICRA (2017)
Wenhui Huang, Jason Gu, Xin Ma
Compressive sensing with Weighted Local Classifiers for robot Visual tracking. Int. J. Robotics Autom. 31 (5) (2016)
Wenhui Huang, Jason Gu, Xin Ma
Visual tracking based on compressive sensing and particle filter. CCECE (2015)
WeiRui Cai, Hui Wang, Wenhui Huang, Yiu-Cho Chung, Lijuan Zhang, Chao Zou, Hairong Zheng
Performance evaluation of a prototype pneumatic driver for MR elastography by MR elastography. BMEI (2011)
Wenhui Huang, Pengyuan Wang, Zhen Liu, Liqing Zhang
Identifying disease associations via genome-wide association studies. BMC Bioinform. 10 (S-1) (2009)
Yanbin Yao, Dameng Liu, Dazhen Tang, Wenhui Huang, Shuheng Tang
Evaluation of the Coalbed Methane Potential by a GIS-Based Fuzzy AHP Model. FSKD (4) (2009)
Yanbin Yao, Dameng Liu, Dazhen Tang, Shuheng Tang, Wenhui Huang, Zhihua Liu, Yao Che
Fractal characterization of seepage-pores of coals from China: An investigation on permeability of coals. Comput. Geosci. 35 (6) (2009)
Wenhui Huang, Liqing Zhang
A Framework to Understand the Mechanism of Toxicity. ICIC (2) (2008)