Numerical Simulation of Nonlinear Fracture Failure Process of Frozen Soil. - Yuedong Wang; Bingzhi Chen; Chunge Nie (CSO (1), 2009)

Optimization Analysis of Energy-absorbing Structures in Subway Train. - Bingzhi Chen; Ruixian Qin; Chaozhe Jiang (Int. J. Robotics Autom., 2017)

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)

Mask-Most Net: Mask Approximation Based Multi-oriented Scene Text Detection Network. - Xiaobao Guo; Jinxing Li; Bingzhi Chen; Guangming Lu 002 (ICME, 2019)

Multi-label Chest X-Ray Image Classification via Label Co-occurrence Learning. - Bingzhi Chen; Yao Lu 008; Guangming Lu 002 (PRCV (2), 2019)

DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays. - Bingzhi Chen; Jinxing Li; Xiaobao Guo; Guangming Lu 002 (Biomed. Signal Process. Control., 2019)

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 002 (IEEE Access, 2020)

Fuzzy Design Optimization-Based Fatigue Reliability Analysis of Welding Robots. - Pengpeng Zhi; Yonghua Li 002; Bingzhi Chen; Xiaoning Bai; Ziqiang Sheng (IEEE Access, 2020)

Two-stream collaborative network for multi-label chest X-ray Image classification with lung segmentation. - Bingzhi Chen; Zheng Zhang 006; Jianyong Lin; Yi Chen 023; Guangming Lu 002 (Pattern Recognit. Lett., 2020)

Lesion Location Attention Guided Network for Multi-Label Thoracic Disease Classification in Chest X-Rays. - Bingzhi Chen; Jinxing Li; Guangming Lu 002; David Zhang 001 (IEEE J. Biomed. Health Informatics, 2020)

Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification. - Bingzhi Chen; Jinxing Li; Guangming Lu 002; Hongbing Yu; David Zhang 001 (IEEE J. Biomed. Health Informatics, 2020)

Hierarchical Network Based on the Fusion of Static and Dynamic Features for Speech Emotion Recognition. - Qi Cao; Mixiao Hou; Bingzhi Chen; Zheng Zhang 006; Guangming Lu 002 (ICASSP, 2021)

JDMAN: Joint Discriminative and Mutual Adaptation Networks for Cross-Domain Facial Expression Recognition. - Yingjian Li; Yingnan Gao; Bingzhi Chen; Zheng Zhang 006; Lei Zhu 002; Guangming Lu 002 (ACM Multimedia, 2021)

An Embarrassingly Simple Approach to Discrete Supervised Hashing. - Shuguang Zhao; Bingzhi Chen; Zheng Zhang 006; Guangming Lu 002 (MMAsia, 2021)

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation. - Ailiang Lin; Bingzhi Chen; Jiayu Xu 002; Zheng Zhang 006; Guangming Lu 002 (CoRR, 2021)

TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation. - Bingzhi Chen; Yishu Liu; Zheng Zhang 006; Guangming Lu 002; David Zhang 001 (CoRR, 2021)

Multimodal Emotion Recognition With Temporal and Semantic Consistency. - Bingzhi Chen; Qi Cao; Mixiao Hou; Zheng Zhang 006; Guangming Lu 002; David Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Deep Active Context Estimation for Automated COVID-19 Diagnosis. - Bingzhi Chen; Yishu Liu; Zheng Zhang 006; Yingjian Li; Zhao Zhang 001; Guangming Lu 002; Hongbing Yu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

An Intelligent IoT Sensing System for Rail Vehicle Running States Based on TinyML. - Shaoze Zhou; Yongkang Du; Bingzhi Chen; Yonghua Li 002; Xingsen Luan (IEEE Access, 2022)

Multi-Label Chest X-Ray Image Classification via Semantic Similarity Graph Embedding. - Bingzhi Chen; Zheng Zhang 006; Ying-Jian Li; Guangming Lu 002; David Zhang 001 (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 006; Guangming Lu 002; David Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild. - Yingjian Li; Yao Lu 008; Bingzhi Chen; Zheng Zhang 006; Jinxing Li; Guangming Lu 002; David Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation. - Ailiang Lin; Bingzhi Chen; Jiayu Xu 002; Zheng Zhang 006; Guangming Lu 002; David Zhang 001 (IEEE Trans. Instrum. Meas., 2022)

Semantic-Interactive Graph Convolutional Network for Multilabel Image Recognition. - Bingzhi Chen; Zheng Zhang 006; Yao Lu 008; Fanglin Chen 001; Guangming Lu 002; David Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. - Bingzhi Chen; Zhanhao Ye; Yishu Liu; Zheng Zhang 006; Jiahui Pan; Biqing Zeng; Guangming Lu 002 (MICCAI (1), 2023)

Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition. - Yingjian Li; Zheng Zhang 006; Bingzhi Chen; Guangming Lu 002; David Zhang 001 (IEEE Trans. Multim., 2023)

Defect Detection of Metro Wheel Set Tread Based on Image Recognition. - Jun Ma; Chunguang Zhang; Bingzhi Chen (J. Circuits Syst. Comput., 2023)

Self-paced Multi-view Learning for CT-based severity assessment of COVID-19. - Yishu Liu; Bingzhi Chen; Zheng Zhang 006; Hongbing Yu; Shouhang Ru; Xiaosheng Chen; Guangming Lu 002 (Biomed. Signal Process. Control., 2023)

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 002; Zheng Zhang 006 (AAAI, 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 (ACML, 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 002 (BIBM, 2024)

Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification. - Bingzhi Chen; Haoming Zhou; Yishu Liu; Biqing Zeng; Guangming Lu 002; Zheng Zhang 006 (ICASSP, 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 (ICASSP, 2024)

Rethinking Adversarial Robustness Distillation VIA Strength-Dependent Adaptive Regularization. - Bingzhi Chen; Shuobin Lin; Yishu Liu; Zheng Zhang 006; Guangming Lu 002; Lewei He (ICME, 2024)

Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints. - Bingzhi Chen; Haoming Zhou; Yishu Liu; Biqing Zeng; Jiahui Pan; Guangming Lu 002 (ICME, 2024)

Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation. - Xiaolin Huang; Biqing Zeng; Jiahui Pan; Yujiang Yao; Zheng Zhou; Bingzhi Chen (ICME, 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 (ICME, 2024)

Robust Visual Question Answering With Contrastive-Adversarial Consistency Constraints. - Jiawei Zhu; Meirong Ding; Yishu Liu; Biqing Zeng; Guangming Lu 002; Bingzhi Chen (ICME, 2024)

Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. - Bingzhi Chen; Zhongqi Wu; Yishu Liu; Biqing Zeng; Guangming Lu 002; Zheng Zhang 006 (IJCAI, 2024)

Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning. - Yishu Liu; Zhongqi Wu; Bingzhi Chen; Zheng Zhang 006; Guangming Lu 002 (MICCAI (3), 2024)

Stay Focused is All You Need for Adversarial Robustness. - Bingzhi Chen; Ruihan Liu; Yishu Liu; Xiaozhao Fang; Jiahui Pan; Guangming Lu 002; Zheng Zhang 006 (ACM Multimedia, 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 001 (ACM Multimedia, 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 006; Bingzhi Chen (ACM Multimedia, 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)

Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation. - Bingzhi Chen; Xiaolin Huang; Yishu Liu; Zheng Zhang 006; Guangming Lu 002; Zheng Zhou; Jiahui Pan (IEEE Trans. Instrum. Meas., 2024)

TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation. - Bingzhi Chen; Yishu Liu; Zheng Zhang 006; Guangming Lu 002; Adams Wai-Kin Kong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Context-aware graph embedding with gate and attention for session-based recommendation. - Biqing Zeng; Junlong Chi; Peilin Hong; Guangming Lu 002; David Zhang 001; Bingzhi Chen (Neurocomputing, 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., 2024)

Deep Fuzzy Multiteacher Distillation Network for Medical Visual Question Answering. - Yishu Liu; Bingzhi Chen; Shuihua Wang; Guangming Lu 002; Zheng Zhang 006 (IEEE Trans. Fuzzy Syst., 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., 2024)

Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization. - Yishu Liu; Jiawei Zhu; Congcong Wen; Guangming Lu 002; Hui Lin; Bingzhi Chen (AAAI, 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 (CVPR, 2025)

Learning Hierarchical Attribute Prompt for Vision-Language Models. - Jun Liang 002; Yang Peng; Rui Luo; Yunyu Zou; Yalong Cheng; Bingzhi Chen (ICASSP, 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 (ICASSP, 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 (ICASSP, 2025)

Enhancing Incomplete Multimodal Learning via Modal Complementary Recovering. - Meirong Ding; Hongyi Lin; Jiawei Zhu; Chuang Zou; Wenxiu Cai; Bingzhi Chen (ICASSP, 2025)

Advancing Few-Shot Class-Incremental Learning with Virtual Prototype Guidance Prompting. - Xiang Qiu; Huanjia Zhu; Xiaocheng Fang; Jun Liang; Bingzhi Chen; Hui Lin (ICASSP, 2025)

Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. - Huanjia Zhu; Yishu Liu; Xiaozhao Fang; Guangming Lu 002; Bingzhi Chen (CoRR, 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 (CoRR, 2025)

Revisiting DETR for Small Object Detection via Noise-Resilient Query Optimization. - Xiaocheng Fang; Jieyi Cai; Huanyu Liu; Wenxiu Cai; Yishu Liu; Bingzhi Chen (CoRR, 2025)