Hualiang Wang

According to our database, Hualiang Wang authored at least 48 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction.

Yiqun Lin, Jixiang Chen, Hualiang Wang, Jiewen Yang, Jiarong Guo, Yi Zhang, Xiaomeng Li

IEEE Trans. Medical Imaging, June, 2026

Rethinking Position Embedding as a Context Controller for Multi-Reference and Multi-Shot Video Generation.

Binyuan Huang, Yuning Lu, Weinan Jia, Hualiang Wang, Mu Liu, Daiqing Yang

CoRR, April, 2026

Forgetting-Resistant and Lesion-Aware Source-Free Domain Adaptive Fundus Image Analysis with Vision-Language Model.

Zheang Huai, Hui Tang, Hualiang Wang, Xiaomeng Li

CoRR, February, 2026

FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus.

Qiaoqiao Jin, Siming Fu, Dong She, Weinan Jia, Hualiang Wang, Mu Liu, Jidong Jiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation.

Weinan Jia, Yuning Lu, Mengqi Huang, Hualiang Wang, Binyuan Huang, Nan Chen, Mu Liu, Jidong Jiang, Zhendong Mao

CoRR, October, 2025

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement.

Dong She, Siming Fu, Mushui Liu, Qiaoqiao Jin, Hualiang Wang, Mu Liu, Jidong Jiang

CoRR, September, 2025

UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation.

Yi Li, Haonan Wang, Qixiang Zhang, Boyu Xiao, Chenchang Hu, Hualiang Wang, Xiaomeng Li

CoRR, May, 2025

DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction.

Yiqun Lin, Hualiang Wang, Jixiang Chen, Jiewen Yang, Jiarong Guo, Xiaomeng Li

CoRR, May, 2025

Vision Foundation Models in Medical Image Analysis: Advances and Challenges.

Pengchen Liang, Bin Pu, Haishan Huang, Yiwei Li, Hualiang Wang, Weibo Ma, Qing Chang

CoRR, February, 2025

SemiGMMPoint: Semi-supervised point cloud segmentation based on Gaussian mixture models.

Xianwei Zhuang, Hualiang Wang, Xiaoxuan He, Siming Fu, Haoji Hu

Pattern Recognit., 2025

A closer look at the explainability of Contrastive language-image pre-training.

Yi Li, Hualiang Wang, Yiqun Duan, Jiheng Zhang, Xiaomeng Li

Pattern Recognit., 2025

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization.

Huihui Xu, Yuanpeng Nie, Hualiang Wang, Ying Chen, Wei Li, Junzhi Ning, Lihao Liu, Hongqiu Wang, Lei Zhu, Jiyao Liu, Xiaomeng Li, Junjun He

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction.

Lehan Wang, Hualiang Wang, Chubin Ou, Lushi Chen, Yunyi Liang, Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Cross-View Generalized Diffusion Model for Sparse-View CT Reconstruction.

Jixiang Chen, Yiqun Lin, Yi Qin, Hualiang Wang, Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Exploration of Teaching Reform in the Course of Intelligent Prediction in the Information Age.

Jian Ma, Yujie Cheng, Hualiang Wang, Hongmei Liu, Laifa Tao, Chen Lu

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

Token Activation Map to Visually Explain Multimodal LLMs.

Yi Li, Hualiang Wang, Xinpeng Ding, Haonan Wang, Xiaomeng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation.

Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation.

Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li

Trans. Mach. Learn. Res., 2024

A Novel Design of a Unilateral Nuclear Magnetic Resonance Sensor for Soil Moisture Detection Based on a Simplified Analytical Model.

Tingting Lin, Hualiang Wang, Zhengping Li, Jinbao Zhu

IEEE Trans. Geosci. Remote. Sens., 2024

Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning.

Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li

CoRR, 2024

C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.

Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li

CoRR, 2024

Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images.

Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction.

Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning.

Chenyi Hong, Hualiang Wang, Zhuoxuan Wu, Zuozhu Liu, Junhui Lv

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis.

Xinpeng Ding, Yongqiang Chu, Renjie Pi, Hualiang Wang, Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis.

Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

C²RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.

Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Robustness-Guided Image Synthesis for Data-Free Quantization.

Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Class semantic enhancement network for semantic segmentation.

Siming Fu, Hualiang Wang, Haoji Hu, Xiaoxuan He, Yongwen Long, Jianhong Bai, Yangtao Ou, Yuanjia Huang, Mengqiu Zhou

J. Vis. Commun. Image Represent., October, 2023

Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans.

Zuozhu Liu, Xiaoxuan He, Hualiang Wang, Huimin Xiong, Yan Zhang, Gaoang Wang, Jin Hao, Yang Feng, Fudong Zhu, Haoji Hu

IEEE Trans. Medical Imaging, February, 2023

Design Scheme of Proximal Adaptive Noise Cancellation in Shallow Hydrological Monitoring Using a Multichannel Nuclear Magnetic Resonance Logging Tool.

Tingting Lin, Hualiang Wang, Qi Yu, Jinbao Zhu, Tie-hu Fan

IEEE Trans. Instrum. Meas., 2023

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks.

Yi Li, Hualiang Wang, Yiqun Duan, Xiaomeng Li

CoRR, 2023

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer.

Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard H. Yang, Zuozhu Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Distribution-Agnostic Generalized Category Discovery.

Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition.

Xiaoxuan He, Siming Fu, Xinpeng Ding, Yuchen Cao, Hualiang Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification.

Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.

Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No.

Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An On-Site Harmonic Noise Cancellation Antenna With a Multinode Loop for Magnetic Resonance Sounding Measurement.

Pengfei Wang, Jinbao Zhu, Hualiang Wang, Tingting Lin

IEEE Trans. Instrum. Meas., 2022

Exploring Visual Interpretability for Contrastive Language-Image Pre-training.

Yi Li, Hualiang Wang, Yiqun Duan, Hang Xu, Xiaomeng Li

CoRR, 2022

Towards Federated Long-Tailed Learning.

Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu

CoRR, 2022

Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation.

Xiner Zhu, Haoji Hu, Hualiang Wang, Jincao Yao, Wei Li, Di Ou, Dong Xu

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans.

Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Zuozhu Liu

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Meta-BNS FOR Adversarial Data-Free Quantization.

Siming Fu, Hualiang Wang, Yuchen Cao, Haoji Hu, Bo Peng, Wenming Tan, Tingqun Ye

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning.

Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu

Proceedings of the Computer Vision, 2022

Meta-prototype Decoupled Training for Long-Tailed Learning.

Siming Fu, Huanpeng Chu, Xiaoxuan He, Hualiang Wang, Zhenyu Yang, Haoji Hu

Proceedings of the Computer Vision - ACCV 2022, 2022

Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation.

Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Design Scheme of Receiving System of Small-Diameter Nuclear Magnetic Resonance Logging Tool.

Jinbao Zhu, Hualiang Wang, Kun Zhou, Tingting Lin

IEEE Trans. Instrum. Meas., 2021