Hualiang Wang

According to our database, Hualiang Wang authored at least 24 papers between 2021 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2023

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

Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li

CoRR, 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