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)

Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. - Hualiang Wang; Huanpeng Chu; Siming Fu; Zuozhu Liu; Haoji Hu (AAAI, 2022)

Meta-prototype Decoupled Training for Long-Tailed Learning. - Siming Fu; Huanpeng Chu; Xiaoxuan He; Hualiang Wang; Zhenyu Yang; Haoji Hu (ACCV (6), 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 (ECCV (24), 2022)

Meta-BNS FOR Adversarial Data-Free Quantization. - Siming Fu; Hualiang Wang; Yuchen Cao; Haoji Hu; Bo Peng; Wenming Tan; Tingqun Ye (ICIP, 2022)

Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans. - Xiaoxuan He; Hualiang Wang; Haoji Hu; Jianfei Yang; Yang Feng 011; Gaoang Wang; Zuozhu Liu (MIDL, 2022)

Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation. - Xiner Zhu; Haoji Hu; Hualiang Wang; Jincao Yao; Wei Li; Di Ou; Dong Xu 006 (MIDL, 2022)

Towards Federated Long-Tailed Learning. - Zihan Chen 001; Songshang Liu; Hualiang Wang; Howard H. Yang; Tony Q. S. Quek; Zuozhu Liu (CoRR, 2022)

Exploring Visual Interpretability for Contrastive Language-Image Pre-training. - Yi Li 050; Hualiang Wang; Yiqun Duan; Hang Xu 004; Xiaomeng Li 001 (CoRR, 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)

CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. - Hualiang Wang; Yi Li 050; Huifeng Yao; Xiaomeng Li 001 (ICCV, 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 011; Huanpeng Chu; Haoji Hu (ICLR, 2023)

Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. - Marawan Elbatel; Hualiang Wang; Robert Martí; Huazhu Fu; Xiaomeng Li 001 (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition. - Xiaoxuan He; Siming Fu; Xinpeng Ding; Yuchen Cao; Hualiang Wang (ACM Multimedia, 2023)

Towards Distribution-Agnostic Generalized Category Discovery. - Jianhong Bai; Zuozhu Liu; Hualiang Wang; Ruizhe Chen; Lianrui Mu; Xiaomeng Li 001; Joey Tianyi Zhou; Yang Feng 011; Jian Wu 001; Haoji Hu (NeurIPS, 2023)

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. - Zikai Xiao; Zihan Chen 001; Songshang Liu; Hualiang Wang; Yang Feng 011; Jin Hao; Joey Tianyi Zhou; Jian Wu 001; Howard H. Yang; Zuozhu Liu (NeurIPS, 2023)

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks. - Yi Li 050; Hualiang Wang; Yiqun Duan; Xiaomeng Li 001 (CoRR, 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)

Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. - Zuozhu Liu; Xiaoxuan He; Hualiang Wang; Huimin Xiong; Yan Zhang 004; Gaoang Wang; Jin Hao; Yang Feng 011; Fudong Zhu; Haoji Hu (IEEE Trans. Medical Imaging, 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., 2023)

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 (AAAI, 2024)

C2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. - Yiqun Lin; Jiewen Yang; Hualiang Wang; Xinpeng Ding; Wei Zhao 029; Xiaomeng Li 001 (CVPR, 2024)

Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. - Chenyi Zhou; Hualiang Wang; Xiaomeng Li 001; Wanlu Liu; Zuozhu Liu (ICASSP, 2024)

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis. - Xinpeng Ding; Yongqiang Chu; Renjie Pi; Hualiang Wang; Xiaomeng Li 001 (MICCAI (12), 2024)

FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning. - Chenyi Hong; Hualiang Wang; Zhuoxuan Wu; Zuozhu Liu; Junhui Lv (CaPTion@MICCAI, 2024)

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction. - Yiqun Lin; Hualiang Wang; Jixiang Chen; Xiaomeng Li 001 (MICCAI (7), 2024)

Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. - Hualiang Wang; Yiqun Lin; Xinpeng Ding; Xiaomeng Li 001 (MICCAI (9), 2024)

C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. - Yiqun Lin; Jiewen Yang; Hualiang Wang; Xinpeng Ding; Wei Zhao 029; Xiaomeng Li 001 (CoRR, 2024)

Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning. - Marawan Elbatel; Hualiang Wang; Jixiang Chen; Hao Wang; Xiaomeng Li 001 (CoRR, 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 for Federated Semi-Supervised Learning via Anchor Model Aggregation. - Marawan Elbatel; Hualiang Wang; Jixiang Chen; Hao Wang; Xiaomeng Li 001 (Trans. Mach. Learn. Res., 2024)

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation. - Zhuangzhuang Chen; Hualiang Wang; Chubin Ou; Xiaomeng Li 001 (CVPR, 2025)

A closer look at the explainability of Contrastive language-image pre-training. - Yi Li 050; Hualiang Wang; Yiqun Duan; Jiheng Zhang; Xiaomeng Li 001 (Pattern Recognit., 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)

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, 2025)

DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction. - Yiqun Lin; Hualiang Wang; Jixiang Chen; Jiewen Yang; Jiarong Guo; Xiaomeng Li 001 (CoRR, 2025)

UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation. - Yi Li 050; Haonan Wang; Qixiang Zhang; Boyu Xiao; Chenchang Hu; Hualiang Wang; Xiaomeng Li 001 (CoRR, 2025)

Token Activation Map to Visually Explain Multimodal LLMs. - Yi Li 050; Hualiang Wang; Xinpeng Ding; Haonan Wang; Xiaomeng Li 001 (CoRR, 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 (CoRR, 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 (CoRR, 2025)