Yang Feng

According to our database, Yang Feng authored at least 25 papers between 2022 and 2024.

Collaborative distances:

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

2024

Accurate estimation of 6-DoF tooth pose in 3D intraoral scans for dental applications using deep learning.

Wanghui Ding, Kaiwei Sun, Mengfei Yu, Hangzheng Lin, Yang Feng, Jianhua Li, Zuozhu Liu

Frontiers Inf. Technol. Electron. Eng., September, 2024

Parameter-Efficient Transfer Learning for Medical Visual Question Answering.

Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Yang Feng, Jin Hao, Junhui Lv, Zuozhu Liu

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition.

Guanhong Wang, Yang Zhou, Zhanhao He, Keyu Lu, Yang Feng, Zuozhu Liu, Gaoang Wang

Neurocomputing, February, 2024

MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale.

Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu, Zuozhu Liu

CoRR, 2024

Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models.

Songtao Jiang, Yan Zhang, Chenyi Zhou, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu

CoRR, 2024

Improving LLM-based Machine Translation with Systematic Self-Correction.

Zhaopeng Feng, Yan Zhang, Hao Li, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu

CoRR, 2024

Divide and Conquer for Large Language Models Reasoning.

Zijie Meng, Yan Zhang, Zhaopeng Feng, Yang Feng, Gaoang Wang, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

CoRR, 2024

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray.

Wen Ma, Huikai Wu, Zikai Xiao, Yang Feng, Jian Wu, Zuozhu Liu

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

Refined Individual Tooth Segmentation from Cone Beam CT Images.

Tuo Zheng, Jiaxiang Liu, Yang Feng, Junhui Lv, Zuozhu Liu

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data.

Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis.

Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, Yang Feng, Jian Wu, Joey Zhou, Zuozhu Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learnable Privacy Neurons Localization in Language Models.

Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction.

Jiaxiang Liu, Jin Hao, Hangzheng Lin, Wei Pan, Jianfei Yang, Yang Feng, Gaoang Wang, Jin Li, Zuolin Jin, Zhihe Zhao, Zuozhu Liu

Patterns, September, 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

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis.

Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, Yang Feng, Zuozhu Liu

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

Fast Model DeBias with Machine Unlearning.

Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, 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

Model Adaptive Tooth Segmentation.

Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu

Proceedings of the Medical Imaging with Deep Learning, 2023

TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer.

Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu

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

Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images.

Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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

2022

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer.

Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Zuozhu Liu

CoRR, 2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications.

Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu, Yueling Zhang, Yang Feng, Zeyu Zhao, Huikai Wu, Youyi Zheng, Bing Fang, Zuozhu Liu, Zhihe Zhao

CoRR, 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