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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j29]Jun Ma, Xu Xue, Bingzhi Chen:
Intelligent detection of rail transit vehicle wheelsets combined with structured light technology. Int. J. Inf. Commun. Technol. 26(30): 1-23 (2025)- [j28]Yishu Liu, Huanjia Zhu, Bingzhi Chen, Xiaozhao Fang, Guangming Lu, Shengli Xie:
LBF-VQA: Towards Language Bias-Free Visual Question Answering With Multi-Space Collaborative Debiasing. IEEE Trans. Knowl. Data Eng. 37(12): 7255-7271 (2025) - [j27]Bingzhi Chen
, Zhanhao Ye, Yishu Liu, Xiaozhao Fang, Guangming Lu, Shengli Xie, Xuelong Li:
Toward Robust Semi-Supervised Distribution Alignment Against Label Distribution Shift With Noisy Annotations. IEEE Trans. Multim. 27: 6127-6139 (2025) - [c35]Yishu Liu, Jiawei Zhu, Congcong Wen, Guangming Lu, Hui Lin, Bingzhi Chen:
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization. AAAI 2025: 5721-5729 - [c34]Bingzhi Chen, Sisi Fu, Xiaocheng Fang, Jieyi Cai, Boya Zhang, Minhua Lu, Yishu Liu:
OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining. CVPR 2025: 15570-15579 - [c33]Jun Liang, Yang Peng, Rui Luo, Yunyu Zou, Yalong Cheng, Bingzhi Chen:
Learning Hierarchical Attribute Prompt for Vision-Language Models. ICASSP 2025: 1-5 - [c32]Zhiming Chen, Desen Wang, Sisi Fu, Congcong Wen, Hui Lin, Bingzhi Chen:
A2GP-SF: Enhancing Few-shot Class Incremental Learning via Attribute Generative Prompting and Adaptive Sharpness Flattening. ICASSP 2025: 1-5 - [c31]Yinghong Chen, Huanjia Zhu, Jieyi Cai, Huanyu Liu, Jun Liang, Bingzhi Chen:
Towards Differential Optimization: Rehearsal-Free Class-Incremental Learning with Slow Learners and Fast Adapters. ICASSP 2025: 1-5 - [c30]Meirong Ding, Hongyi Lin, Jiawei Zhu, Chuang Zou, Wenxiu Cai, Bingzhi Chen:
Enhancing Incomplete Multimodal Learning via Modal Complementary Recovering. ICASSP 2025: 1-5 - [c29]Xiang Qiu, Huanjia Zhu, Xiaocheng Fang, Jun Liang, Bingzhi Chen, Hui Lin:
Advancing Few-Shot Class-Incremental Learning with Virtual Prototype Guidance Prompting. ICASSP 2025: 1-5 - [c28]Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Wenxiu Cai, Yishu Liu, Bingzhi Chen:
Revisiting DETR for Small Object Detection via Noise-Resilient Query Optimization. ICME 2025: 1-6 - [c27]Jun Liang, Yunyu Zou, Yang Peng, Yalong Cheng, Rui Luo, Yishu Liu, Bingzhi Chen:
Task-Aware Knowledge Prompt and Distillation for Cross-Domain Few-Shot Learning. ICME 2025: 1-6 - [c26]Desen Wang, Zhiming Chen, Xiang Qiu, Yishu Liu, Bingzhi Chen:
Enhancing Few-Shot Class-Incremental Learning via Cross-Modal Bias Alignment. ICME 2025: 1-6 - [c25]Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen:
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. IJCAI 2025: 2512-2520 - [c24]Huanjia Zhu, Yishu Liu, Chengju Zhou, Guangming Lu, Bingzhi Chen:
Med-BiasX: Robust Medical Visual Question Answering with Language Biases. MICCAI (14) 2025: 369-378 - [c23]Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Chengju Zhou, Minhua Lu, Bingzhi Chen:
PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection. MICCAI (16) 2025: 418-428 - [i7]Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen:
Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. CoRR abs/2506.17903 (2025) - [i6]Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Chengju Zhou, Minhua Lu, Bingzhi Chen:
PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection. CoRR abs/2507.18958 (2025) - [i5]Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Wenxiu Cai, Yishu Liu, Bingzhi Chen:
Revisiting DETR for Small Object Detection via Noise-Resilient Query Optimization. CoRR abs/2507.19059 (2025) - 2024
- [j26]Lewei He, Fucai Lan, Chuanzhe Zhou, Yaoguang Ye, Wencong Zhang, Bingzhi Chen, Jiahui Pan:
A feature-enhanced hybrid attention network for traffic sign recognition in real scenes. IET Image Process. 18(8): 2064-2077 (2024) - [j25]Biqing Zeng, Junlong Chi, Peilin Hong, Guangming Lu, David Zhang, Bingzhi Chen:
Context-aware graph embedding with gate and attention for session-based recommendation. Neurocomputing 574: 127221 (2024) - [j24]Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, Adams Wai-Kin Kong:
TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 55-68 (2024) - [j23]Yishu Liu, Bingzhi Chen, Shuihua Wang, Guangming Lu, Zheng Zhang:
Deep Fuzzy Multiteacher Distillation Network for Medical Visual Question Answering. IEEE Trans. Fuzzy Syst. 32(10): 5413-5427 (2024) - [j22]Bingzhi Chen, Xiaolin Huang, Yishu Liu, Zheng Zhang, Guangming Lu, Zheng Zhou, Jiahui Pan:
Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j21]Xinsen Lian, Kunping Yang, Bingzhi Chen, Xiuhong Cai, Xinling Lu, Xinyao Xu, Jinlin Chen, Ming Tian, Pengtao Lin, Xi Zheng, Linying Chen:
Vague-Segment Technique: Automatic Computation of Tumor Stroma Ratio for Breast Cancer on Whole Slides. IEEE J. Biomed. Health Informatics 28(2): 905-916 (2024) - [j20]Shaoze Zhou, Yongjun Liu, Pengfei Zhao, Bingzhi Chen:
Deep Learning-Based Segment Trend Removal Approach for Prognostics and Health Management Signals of Rail Vehicles. IEEE Trans. Reliab. 73(4): 1743-1756 (2024) - [c22]Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang:
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning. AAAI 2024: 21940-21948 - [c21]Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen:
Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining. ACML 2024: 936-951 - [c20]Xiaolin Huang, Jingchun Lin, Jiacheng Chen, Xiao Ma, Bingzhi Chen, Guangming Lu:
Progressive Stepwise Diffusion Model with Dual Decoders for Semi-Supervised Medical Image Segmentation. BIBM 2024: 2060-2067 - [c19]Bingzhi Chen, Jiawei Zhu, Yishu Liu, Biqing Zeng, Jiahui Pan, Meirong Ding:
Medical Vision-Language Representation Learning with Cross-Modal Multi-Teacher Contrastive Distillation. ICASSP 2024: 1891-1895 - [c18]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang:
Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification. ICASSP 2024: 5420-5424 - [c17]Bingzhi Chen, Shuobin Lin, Yishu Liu, Zheng Zhang, Guangming Lu, Lewei He:
Rethinking Adversarial Robustness Distillation VIA Strength-Dependent Adaptive Regularization. ICME 2024: 1-6 - [c16]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu:
Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints. ICME 2024: 1-6 - [c15]Xiaolin Huang, Biqing Zeng, Jiahui Pan, Yujiang Yao, Zheng Zhou, Bingzhi Chen:
Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation. ICME 2024: 1-6 - [c14]Zheng Zhou, Zongxin Liu, Yongyong Chen, Bingzhi Chen, Biqing Zeng, Yicong Zhou:
Deep Unfolding 3D Non-Local Transformer Network for Hyperspectral Snapshot Compressive Imaging. ICME 2024: 1-6 - [c13]Jiawei Zhu, Meirong Ding, Yishu Liu, Biqing Zeng, Guangming Lu, Bingzhi Chen:
Robust Visual Question Answering With Contrastive-Adversarial Consistency Constraints. ICME 2024: 1-6 - [c12]Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang:
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. IJCAI 2024: 623-631 - [c11]Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu:
Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning. MICCAI (3) 2024: 250-261 - [c10]Jiawei Zhu, Yishu Liu, Huanjia Zhu, Hui Lin, Yuncheng Jiang, Zheng Zhang, Bingzhi Chen:
Combating Visual Question Answering Hallucinations via Robust Multi-Space Co-Debias Learning. ACM Multimedia 2024: 955-964 - [c9]Yu Chen, Yanan Wu, Na Han, Xiaozhao Fang, Bingzhi Chen, Jie Wen:
Partial Multi-label Learning Based On Near-Far Neighborhood Label Enhancement And Nonlinear Guidance. ACM Multimedia 2024: 3722-3731 - [c8]Bingzhi Chen, Ruihan Liu, Yishu Liu, Xiaozhao Fang, Jiahui Pan, Guangming Lu, Zheng Zhang:
Stay Focused is All You Need for Adversarial Robustness. ACM Multimedia 2024: 6482-6491 - [i4]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu:
Enhancing Few-Shot Classification without Forgetting through Multi-Level Contrastive Constraints. CoRR abs/2409.11286 (2024) - [i3]Lewei He, Tianyu Shi, Pengran Huang, Bingzhi Chen, Qianglong Chen, Jiahui Pan:
Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Roles. CoRR abs/2409.18014 (2024) - 2023
- [j19]Yishu Liu, Bingzhi Chen, Zheng Zhang, Hongbing Yu, Shouhang Ru, Xiaosheng Chen, Guangming Lu:
Self-paced Multi-view Learning for CT-based severity assessment of COVID-19. Biomed. Signal Process. Control. 83: 104672 (2023) - [j18]Jun Ma, Chunguang Zhang, Bingzhi Chen:
Defect Detection of Metro Wheel Set Tread Based on Image Recognition. J. Circuits Syst. Comput. 32(5): 2350087:1-2350087:15 (2023) - [j17]Yingjian Li, Zheng Zhang, Bingzhi Chen, Guangming Lu, David Zhang:
Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition. IEEE Trans. Multim. 25: 1359-1373 (2023) - [c7]Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu:
Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. MICCAI (1) 2023: 562-572 - 2022
- [j16]Shaoze Zhou, Yongkang Du, Bingzhi Chen, Yonghua Li, Xingsen Luan:
An Intelligent IoT Sensing System for Rail Vehicle Running States Based on TinyML. IEEE Access 10: 98860-98871 (2022) - [j15]Bingzhi Chen, Zheng Zhang, Yingjian Li, Guangming Lu, David Zhang:
Multi-Label Chest X-Ray Image Classification via Semantic Similarity Graph Embedding. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2455-2468 (2022) - [j14]Yingjian Li, Yao Lu, Bingzhi Chen, Zheng Zhang, Jinxing Li, Guangming Lu, David Zhang:
Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3178-3189 (2022) - [j13]Yingjian Li, Yingnan Gao, Bingzhi Chen, Zheng Zhang, Guangming Lu, David Zhang:
Self-Supervised Exclusive-Inclusive Interactive Learning for Multi-Label Facial Expression Recognition in the Wild. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3190-3202 (2022) - [j12]Ailiang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang, Guangming Lu, David Zhang:
DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [j11]Bingzhi Chen, Zheng Zhang, Yao Lu, Fanglin Chen, Guangming Lu, David Zhang:
Semantic-Interactive Graph Convolutional Network for Multilabel Image Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4887-4899 (2022) - 2021
- [j10]Bingzhi Chen, Qi Cao, Mixiao Hou, Zheng Zhang, Guangming Lu, David Zhang:
Multimodal Emotion Recognition With Temporal and Semantic Consistency. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3592-3603 (2021) - [j9]Bingzhi Chen, Yishu Liu, Zheng Zhang, Yingjian Li, Zhao Zhang, Guangming Lu, Hongbing Yu:
Deep Active Context Estimation for Automated COVID-19 Diagnosis. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 101:1-101:22 (2021) - [c6]Qi Cao, Mixiao Hou, Bingzhi Chen, Zheng Zhang, Guangming Lu:
Hierarchical Network Based on the Fusion of Static and Dynamic Features for Speech Emotion Recognition. ICASSP 2021: 6334-6338 - [c5]Yingjian Li, Yingnan Gao, Bingzhi Chen, Zheng Zhang, Lei Zhu, Guangming Lu:
JDMAN: Joint Discriminative and Mutual Adaptation Networks for Cross-Domain Facial Expression Recognition. ACM Multimedia 2021: 3312-3320 - [c4]Shuguang Zhao, Bingzhi Chen, Zheng Zhang, Guangming Lu:
An Embarrassingly Simple Approach to Discrete Supervised Hashing. MMAsia 2021: 56:1-56:5 - [i2]Ailiang Lin, Bingzhi Chen, Jiayu Xu, Zheng Zhang, Guangming Lu:
DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation. CoRR abs/2106.06716 (2021) - [i1]Bingzhi Chen, Yishu Liu, Zheng Zhang, Guangming Lu, David Zhang:
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation. CoRR abs/2107.05274 (2021) - 2020
- [j8]Pengpeng Zhi, Yonghua Li, Bingzhi Chen, Xiaoning Bai, Ziqiang Sheng:
Fuzzy Design Optimization-Based Fatigue Reliability Analysis of Welding Robots. IEEE Access 8: 64906-64917 (2020) - [j7]Hongbing Yu, Zebin Lin, Yishu Liu, Jing Su, Bingzhi Chen, Guangming Lu:
A New Technique for Diagnosis of Dental Caries on the Children's First Permanent Molar. IEEE Access 8: 185776-185785 (2020) - [j6]Bingzhi Chen, Zheng Zhang, Jianyong Lin, Yi Chen, Guangming Lu:
Two-stream collaborative network for multi-label chest X-ray Image classification with lung segmentation. Pattern Recognit. Lett. 135: 221-227 (2020) - [j5]Bingzhi Chen, Jinxing Li, Guangming Lu, David Zhang:
Lesion Location Attention Guided Network for Multi-Label Thoracic Disease Classification in Chest X-Rays. IEEE J. Biomed. Health Informatics 24(7): 2016-2027 (2020) - [j4]Bingzhi Chen, Jinxing Li, Guangming Lu, Hongbing Yu, David Zhang:
Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification. IEEE J. Biomed. Health Informatics 24(8): 2292-2302 (2020)
2010 – 2019
- 2019
- [j3]Bingzhi Chen, Jinxing Li, Xiaobao Guo, Guangming Lu:
DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays. Biomed. Signal Process. Control. 53 (2019) - [c3]Xiaobao Guo, Jinxing Li, Bingzhi Chen, Guangming Lu:
Mask-Most Net: Mask Approximation Based Multi-oriented Scene Text Detection Network. ICME 2019: 206-211 - [c2]Bingzhi Chen, Yao Lu, Guangming Lu:
Multi-label Chest X-Ray Image Classification via Label Co-occurrence Learning. PRCV (2) 2019: 682-693 - 2018
- [j2]Xu Zhang, Bingzhi Chen, Chaozhe Jiang:
Competitive Pricing between High-Speed Railway and Civil Aviation based on the Cellular Automaton. Int. J. Robotics Autom. 33(2) (2018) - 2017
- [j1]Bingzhi Chen, Ruixian Qin, Chaozhe Jiang:
Optimization Analysis of Energy-absorbing Structures in Subway Train. Int. J. Robotics Autom. 32(3) (2017)
2000 – 2009
- 2009
- [c1]Yuedong Wang, Bingzhi Chen, Chunge Nie:
Numerical Simulation of Nonlinear Fracture Failure Process of Frozen Soil. CSO (1) 2009: 183-186
Coauthor Index
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