Bingzhi Chen

According to our database, Bingzhi Chen authored at least 81 papers between 2009 and 2026.

Collaborative distances:

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

2026

DS²VP: Dynamically-Selected Spatially Visual Prompting.

Yishu Liu, Jiale Liu, Bingzhi Chen, Guangming Lu

IEEE Trans. Circuits Syst. Video Technol., March, 2026

Toward Bidirectional Adaptability for Few-Shot Class-Incremental Learning With Forward-Backward Knowledge Transfer.

Bingzhi Chen, Zhiming Chen, Sudong Cai, Xiaozhao Fang, Mohammed Bennamoun, Shengli Xie

IEEE Trans. Multim., 2026

InfoARD: Enhancing Adversarial Robustness Distillation With Attack-Strength Adaptation and Mutual-Information Maximization.

Ruihan Liu, Jieyi Cai, Yishu Liu, Sudong Cai, Bingzhi Chen, Yulan Guo, Mohammed Bennamoun

IEEE Trans. Image Process., 2026

S2PD: Physically grounded augmentations and stable parameter updates for cross-domain few-shot learning.

Shuai Kang, Yunyu Zou, Ziteng Hong, Xiao Ma, Bingzhi Chen, Guangming Lu

Neurocomputing, 2026

Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling.

Jiale Liu, Haoming Zhou, Yishu Liu, Bingzhi Chen, Yuncheng Jiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering.

Zhiqi Huang, Huanjia Zhu, Xiangwen Deng, Qinghao Zhong, Bingzhi Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing.

Yishu Liu, Huanjia Zhu, Bingzhi Chen, Xiaozhao Fang, Guangming Lu, Shengli Xie

IEEE Trans. Knowl. Data Eng., December, 2025

Self-Supervised Medical Adversarial Robustness With Two-Stage Contrastive Constraints.

Yishu Liu, Shuobin Lin, Bingzhi Chen, Zheng Zhang, Guangming Lu

IEEE Trans. Emerg. Top. Comput. Intell., December, 2025

Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling.

Jiale Liu, Haoming Zhou, Yishu Zhu, Bingzhi Chen, Yuncheng Jiang

CoRR, November, 2025

Toward Robust Semi-Supervised Distribution Alignment Against Label Distribution Shift With Noisy Annotations.

Bingzhi Chen, Zhanhao Ye, Yishu Liu, Xiaozhao Fang, Guangming Lu, Shengli Xie, Xuelong Li

IEEE Trans. Multim., 2025

Intelligent detection of rail transit vehicle wheelsets combined with structured light technology.

Jun Ma, Xu Xue, Bingzhi Chen

Int. J. Inf. Commun. Technol., 2025

Differences in Wheel Service Performance of Vehicles With Internal and External Axleboxes Considering Wheel-Axle Bending.

Tao Guo, Bingzhi Chen, Xu Zhang, Yi Zeng, Shuai Han

IEEE Access, 2025

Language-Bias-Resilient Visual Question Answering via Adaptive Multi-Margin Collaborative Debiasing.

Huanjia Zhu, Shuyuan Zheng, Yishu Liu, Sudong Cai, Bingzhi Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SG-FSL: Cross-Domain Few-Shot Learning with Style-Decoupled Augmentation and Gradient-Conflict Adjustment.

Yunyu Zou, Yishu Liu, Jun Liang, Bingzhi Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

PET-GPRA: Rethinking PET with Gradient-Aware Prompting and Router-Free Adapters for Few-shot Class-Incremental Learning.

Yishu Liu, Zhiming Chen, Desen Wang, Xiaoling Luo, Bingzhi Chen, Guangming Lu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CauRDG: Enhancing Domain Generalization with Causal-Driven Semantic Consistency Reasoning.

Zongxin Liu, Yishu Liu, Guangming Lu, Xiaoling Luo, Bingzhi Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Label Prediction Inherited Hashing for Cross-Modal Retrieval: Applying Supervised Hashing to Unsupervised Tasks.

Kaihang Jiang, Wai Keung Wong, Jianyang Qin, Xiaozhao Fang, Jie Wen, Bingzhi Chen, Hongbo Gao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Med-BiasX: Robust Medical Visual Question Answering with Language Biases.

Huanjia Zhu, Yishu Liu, Chengju Zhou, Guangming Lu, Bingzhi Chen

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

PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection.

Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Chengju Zhou, Minhua Lu, Bingzhi Chen

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

Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases.

Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Enhancing Few-Shot Class-Incremental Learning via Cross-Modal Bias Alignment.

Desen Wang, Zhiming Chen, Xiang Qiu, Yishu Liu, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Task-Aware Knowledge Prompt and Distillation for Cross-Domain Few-Shot Learning.

Jun Liang, Yunyu Zou, Yang Peng, Yalong Cheng, Rui Luo, Yishu Liu, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Revisiting DETR for Small Object Detection via Noise-Resilient Query Optimization.

Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Wenxiu Cai, Yishu Liu, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Advancing Few-Shot Class-Incremental Learning with Virtual Prototype Guidance Prompting.

Xiang Qiu, Huanjia Zhu, Xiaocheng Fang, Jun Liang, Bingzhi Chen, Hui Lin

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Enhancing Incomplete Multimodal Learning via Modal Complementary Recovering.

Meirong Ding, Hongyi Lin, Jiawei Zhu, Chuang Zou, Wenxiu Cai, Bingzhi Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Towards Differential Optimization: Rehearsal-Free Class-Incremental Learning with Slow Learners and Fast Adapters.

Yinghong Chen, Huanjia Zhu, Jieyi Cai, Huanyu Liu, Jun Liang, Bingzhi Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

A2GP-SF: Enhancing Few-shot Class Incremental Learning via Attribute Generative Prompting and Adaptive Sharpness Flattening.

Zhiming Chen, Desen Wang, Sisi Fu, Congcong Wen, Hui Lin, Bingzhi Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Learning Hierarchical Attribute Prompt for Vision-Language Models.

Jun Liang, Yang Peng, Rui Luo, Yunyu Zou, Yalong Cheng, Bingzhi Chen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining.

Bingzhi Chen, Sisi Fu, Xiaocheng Fang, Jieyi Cai, Boya Zhang, Minhua Lu, Yishu Liu

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

Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization.

Yishu Liu, Jiawei Zhu, Congcong Wen, Guangming Lu, Hui Lin, Bingzhi Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deep Learning-Based Segment Trend Removal Approach for Prognostics and Health Management Signals of Rail Vehicles.

Shaoze Zhou, Yongjun Liu, Pengfei Zhao, Bingzhi Chen

IEEE Trans. Reliab., December, 2024

Deep Fuzzy Multiteacher Distillation Network for Medical Visual Question Answering.

Yishu Liu, Bingzhi Chen, Shuihua Wang, Guangming Lu, Zheng Zhang

IEEE Trans. Fuzzy Syst., October, 2024

A feature-enhanced hybrid attention network for traffic sign recognition in real scenes.

Lewei He, Fucai Lan, Chuanzhe Zhou, Yaoguang Ye, Wencong Zhang, Bingzhi Chen, Jiahui Pan

IET Image Process., June, 2024

Context-aware graph embedding with gate and attention for session-based recommendation.

Biqing Zeng, Junlong Chi, Peilin Hong, Guangming Lu, David Zhang, Bingzhi Chen

Neurocomputing, March, 2024

Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides.

Xinsen Lian, Kunping Yang, Bingzhi Chen, Xiuhong Cai, Xinling Lu, Xinyao Xu, Jinlin Chen, Ming Tian, Pengtao Lin, Xi Zheng, Linying Chen

IEEE J. Biomed. Health Informatics, February, 2024

TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation.

Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, Adams Wai-Kin Kong

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

Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation.

Bingzhi Chen, Xiaolin Huang, Yishu Liu, Zheng Zhang, Guangming Lu, Zheng Zhou, Jiahui Pan

IEEE Trans. Instrum. Meas., 2024

Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Roles.

Lewei He, Tianyu Shi, Pengran Huang, Bingzhi Chen, Qianglong Chen, Jiahui Pan

CoRR, 2024

Combating Visual Question Answering Hallucinations via Robust Multi-Space Co-Debias Learning.

Jiawei Zhu, Yishu Liu, Huanjia Zhu, Hui Lin, Yuncheng Jiang, Zheng Zhang, Bingzhi Chen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Partial Multi-label Learning Based On Near-Far Neighborhood Label Enhancement And Nonlinear Guidance.

Yu Chen, Yanan Wu, Na Han, Xiaozhao Fang, Bingzhi Chen, Jie Wen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Stay Focused is All You Need for Adversarial Robustness.

Bingzhi Chen, Ruihan Liu, Yishu Liu, Xiaozhao Fang, Jiahui Pan, Guangming Lu, Zheng Zhang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning.

Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu

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

Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing.

Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Robust Visual Question Answering With Contrastive-Adversarial Consistency Constraints.

Jiawei Zhu, Meirong Ding, Yishu Liu, Biqing Zeng, Guangming Lu, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Deep Unfolding 3D Non-Local Transformer Network for Hyperspectral Snapshot Compressive Imaging.

Zheng Zhou, Zongxin Liu, Yongyong Chen, Bingzhi Chen, Biqing Zeng, Yicong Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation.

Xiaolin Huang, Biqing Zeng, Jiahui Pan, Yujiang Yao, Zheng Zhou, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints.

Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Rethinking Adversarial Robustness Distillation VIA Strength-Dependent Adaptive Regularization.

Bingzhi Chen, Shuobin Lin, Yishu Liu, Zheng Zhang, Guangming Lu, Lewei He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Medical Vision-Language Representation Learning with Cross-Modal Multi-Teacher Contrastive Distillation.

Bingzhi Chen, Jiawei Zhu, Yishu Liu, Biqing Zeng, Jiahui Pan, Meirong Ding

Proceedings of the IEEE International Conference on Acoustics, 2024

Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification.

Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

Progressive Stepwise Diffusion Model with Dual Decoders for Semi-Supervised Medical Image Segmentation.

Xiaolin Huang, Jingchun Lin, Jiacheng Chen, Xiao Ma, Bingzhi Chen, Guangming Lu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining.

Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen

Proceedings of the Asian Conference on Machine Learning, 2024

CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning.

Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang

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

2023

Self-paced Multi-view Learning for CT-based severity assessment of COVID-19.

Yishu Liu, Bingzhi Chen, Zheng Zhang, Hongbing Yu, Shouhang Ru, Xiaosheng Chen, Guangming Lu

Biomed. Signal Process. Control., May, 2023

Defect Detection of Metro Wheel Set Tread Based on Image Recognition.

Jun Ma, Chunguang Zhang, Bingzhi Chen

J. Circuits Syst. Comput., March, 2023

Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition.

Yingjian Li, Zheng Zhang, Bingzhi Chen, Guangming Lu, David Zhang

IEEE Trans. Multim., 2023

Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning.

Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu

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

2022

Semantic-Interactive Graph Convolutional Network for Multilabel Image Recognition.

Bingzhi Chen, Zheng Zhang, Yao Lu, Fanglin Chen, Guangming Lu, David Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2022

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation.

Ailiang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang, Guangming Lu, David Zhang

IEEE Trans. Instrum. Meas., 2022

Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild.

Yingjian Li, Yao Lu, Bingzhi Chen, Zheng Zhang, Jinxing Li, Guangming Lu, David Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Self-Supervised Exclusive-Inclusive Interactive Learning for Multi-Label Facial Expression Recognition in the Wild.

Yingjian Li, Yingnan Gao, Bingzhi Chen, Zheng Zhang, Guangming Lu, David Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-Label Chest X-Ray Image Classification via Semantic Similarity Graph Embedding.

Bingzhi Chen, Zheng Zhang, Yingjian Li, Guangming Lu, David Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

An Intelligent IoT Sensing System for Rail Vehicle Running States Based on TinyML.

Shaoze Zhou, Yongkang Du, Bingzhi Chen, Yonghua Li, Xingsen Luan

IEEE Access, 2022

2021

Deep Active Context Estimation for Automated COVID-19 Diagnosis.

Bingzhi Chen, Yishu Liu, Zheng Zhang, Yingjian Li, Zhao Zhang, Guangming Lu, Hongbing Yu

ACM Trans. Multim. Comput. Commun. Appl., 2021

Multimodal Emotion Recognition With Temporal and Semantic Consistency.

Bingzhi Chen, Qi Cao, Mixiao Hou, Zheng Zhang, Guangming Lu, David Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation.

Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, David Zhang

CoRR, 2021

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation.

Ailiang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang, Guangming Lu

CoRR, 2021

An Embarrassingly Simple Approach to Discrete Supervised Hashing.

Shuguang Zhao, Bingzhi Chen, Zheng Zhang, Guangming Lu

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

JDMAN: Joint Discriminative and Mutual Adaptation Networks for Cross-Domain Facial Expression Recognition.

Yingjian Li, Yingnan Gao, Bingzhi Chen, Zheng Zhang, Lei Zhu, Guangming Lu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Hierarchical Network Based on the Fusion of Static and Dynamic Features for Speech Emotion Recognition.

Qi Cao, Mixiao Hou, Bingzhi Chen, Zheng Zhang, Guangming Lu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification.

Bingzhi Chen, Jinxing Li, Guangming Lu, Hongbing Yu, David Zhang

IEEE J. Biomed. Health Informatics, 2020

Lesion Location Attention Guided Network for Multi-Label Thoracic Disease Classification in Chest X-Rays.

Bingzhi Chen, Jinxing Li, Guangming Lu, David Zhang

IEEE J. Biomed. Health Informatics, 2020

Two-stream collaborative network for multi-label chest X-ray Image classification with lung segmentation.

Bingzhi Chen, Zheng Zhang, Jianyong Lin, Yi Chen, Guangming Lu

Pattern Recognit. Lett., 2020

Fuzzy Design Optimization-Based Fatigue Reliability Analysis of Welding Robots.

Pengpeng Zhi, Yonghua Li, Bingzhi Chen, Xiaoning Bai, Ziqiang Sheng

IEEE Access, 2020

A New Technique for Diagnosis of Dental Caries on the Children's First Permanent Molar.

Hongbing Yu, Zebin Lin, Yishu Liu, Jing Su, Bingzhi Chen, Guangming Lu

IEEE Access, 2020

2019

DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays.

Bingzhi Chen, Jinxing Li, Xiaobao Guo, Guangming Lu

Biomed. Signal Process. Control., 2019

Multi-label Chest X-Ray Image Classification via Label Co-occurrence Learning.

Bingzhi Chen, Yao Lu, Guangming Lu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Mask-Most Net: Mask Approximation Based Multi-oriented Scene Text Detection Network.

Xiaobao Guo, Jinxing Li, Bingzhi Chen, Guangming Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Competitive Pricing between High-Speed Railway and Civil Aviation based on the Cellular Automaton.

Xu Zhang, Bingzhi Chen, Chaozhe Jiang

Int. J. Robotics Autom., 2018

2017

Optimization Analysis of Energy-absorbing Structures in Subway Train.

Bingzhi Chen, Ruixian Qin, Chaozhe Jiang

Int. J. Robotics Autom., 2017

2009

Numerical Simulation of Nonlinear Fracture Failure Process of Frozen Soil.

Yuedong Wang, Bingzhi Chen, Chunge Nie

Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009