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ORCIDHualiang Wang
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Journal Articles
- 2025
[j7]Xianwei Zhuang
, Hualiang Wang, Xiaoxuan He, Siming Fu, Haoji Hu:
SemiGMMPoint: Semi-supervised point cloud segmentation based on Gaussian mixture models. Pattern Recognit. 158: 111045 (2025)- 2024
- [j6]Tingting Lin, Hualiang Wang, Zhengping Li, Jinbao Zhu:
A Novel Design of a Unilateral Nuclear Magnetic Resonance Sensor for Soil Moisture Detection Based on a Simplified Analytical Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - 2023
- [j5]Siming Fu, Hualiang Wang, Haoji Hu, Xiaoxuan He, Yongwen Long, Jianhong Bai, Yangtao Ou, Yuanjia Huang, Mengqiu Zhou:
Class semantic enhancement network for semantic segmentation. J. Vis. Commun. Image Represent. 96: 103924 (2023) - [j4]Tingting Lin, Hualiang Wang, Qi Yu, Jinbao Zhu, Tie-hu Fan:
Design Scheme of Proximal Adaptive Noise Cancellation in Shallow Hydrological Monitoring Using a Multichannel Nuclear Magnetic Resonance Logging Tool. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j3]Zuozhu Liu, Xiaoxuan He, Hualiang Wang, Huimin Xiong, Yan Zhang, Gaoang Wang, Jin Hao, Yang Feng, Fudong Zhu, Haoji Hu:
Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. IEEE Trans. Medical Imaging 42(2): 467-480 (2023) - 2022
- [j2]Pengfei Wang, Jinbao Zhu, Hualiang Wang, Tingting Lin:
An On-Site Harmonic Noise Cancellation Antenna With a Multinode Loop for Magnetic Resonance Sounding Measurement. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2021
- [j1]Jinbao Zhu, Hualiang Wang, Kun Zhou, Tingting Lin:
A Design Scheme of Receiving System of Small-Diameter Nuclear Magnetic Resonance Logging Tool. IEEE Trans. Instrum. Meas. 70: 1-10 (2021)
Conference and Workshop Papers
- 2024
- [c19]Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu:
Robustness-Guided Image Synthesis for Data-Free Quantization. AAAI 2024: 10971-10979 - [c18]Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li:
C2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. CVPR 2024: 11205-11214 - [c17]Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu:
Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. ICASSP 2024: 2330-2334 - [c16]Chenyi Hong, Hualiang Wang, Zhuoxuan Wu, Zuozhu Liu, Junhui Lv:
FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning. CaPTion@MICCAI 2024: 14-25 - [c15]Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li:
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction. MICCAI (7) 2024: 425-435 - [c14]Xinpeng Ding, Yongqiang Chu, Renjie Pi, Hualiang Wang, Xiaomeng Li:
HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis. MICCAI (12) 2024: 575-586 - [c13]Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li:
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. MICCAI (9) 2024: 636-646 - 2023
- [c12]Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li:
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. ICCV 2023: 1802-1812 - [c11]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu:
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR 2023 - [c10]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 334-346 - [c9]Xiaoxuan He, Siming Fu, Xinpeng Ding, Yuchen Cao, Hualiang Wang:
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition. ACM Multimedia 2023: 5027-5037 - [c8]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. NeurIPS 2023 - [c7]Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard H. Yang, Zuozhu Liu:
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. NeurIPS 2023 - 2022
- [c6]Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu:
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. AAAI 2022: 2450-2458 - [c5]Siming Fu, Huanpeng Chu, Xiaoxuan He, Hualiang Wang, Zhenyu Yang, Haoji Hu:
Meta-prototype Decoupled Training for Long-Tailed Learning. ACCV (6) 2022: 252-268 - [c4]Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu:
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning. ECCV (24) 2022: 179-196 - [c3]Siming Fu, Hualiang Wang, Yuchen Cao, Haoji Hu, Bo Peng, Wenming Tan, Tingqun Ye:
Meta-BNS FOR Adversarial Data-Free Quantization. ICIP 2022: 4038-4042 - [c2]Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Zuozhu Liu:
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans. MIDL 2022: 493-507 - [c1]Xiner Zhu, Haoji Hu, Hualiang Wang, Jincao Yao, Wei Li, Di Ou, Dong Xu:
Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation. MIDL 2022: 1523-1537
Informal and Other Publications
- 2024
- [i15]Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li:
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. CoRR abs/2406.03902 (2024) - [i14]Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li:
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction. CoRR abs/2407.01090 (2024) - [i13]Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li:
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning. CoRR abs/2407.10327 (2024) - [i12]Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li:
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. CoRR abs/2409.08492 (2024) - 2023
- [i11]Yi Li, Hualiang Wang, Yiqun Duan, Xiaomeng Li:
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks. CoRR abs/2304.05653 (2023) - [i10]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu:
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. CoRR abs/2306.04934 (2023) - [i9]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification. CoRR abs/2307.14959 (2023) - [i8]Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li:
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. CoRR abs/2308.12213 (2023) - [i7]Siming Fu, Xiaoxuan He, Xinpeng Ding, Yuchen Cao, Hualiang Wang:
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition. CoRR abs/2308.12522 (2023) - [i6]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. CoRR abs/2310.01376 (2023) - [i5]Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu:
Robustness-Guided Image Synthesis for Data-Free Quantization. CoRR abs/2310.03661 (2023) - [i4]Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hao Yang, Zuozhu Liu:
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. CoRR abs/2310.07587 (2023) - 2022
- [i3]Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu:
Towards Federated Long-Tailed Learning. CoRR abs/2206.14988 (2022) - [i2]Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu:
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning. CoRR abs/2208.10043 (2022) - [i1]Yi Li, Hualiang Wang, Yiqun Duan, Hang Xu, Xiaomeng Li:
Exploring Visual Interpretability for Contrastive Language-Image Pre-training. CoRR abs/2209.07046 (2022)
Coauthor Index
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