| 2026 | AAAI | BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering. | Zhiqi Huang, Huanjia Zhu, Xiangwen Deng, Qinghao Zhong, Bingzhi Chen |
| 2026 | AAAI | Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling. | Jiale Liu, Haoming Zhou, Yishu Liu, Bingzhi Chen, Yuncheng Jiang |
| 2025 | AAAI | Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization. | Yishu Liu, Jiawei Zhu, Congcong Wen, Guangming Lu, Hui Lin, Bingzhi Chen |
| 2025 | CVPR | 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 |
| 2025 | ICASSP | Learning Hierarchical Attribute Prompt for Vision-Language Models. | Jun Liang, Yang Peng, Rui Luo, Yunyu Zou, Yalong Cheng, Bingzhi Chen |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | Enhancing Incomplete Multimodal Learning via Modal Complementary Recovering. | Meirong Ding, Hongyi Lin, Jiawei Zhu, Chuang Zou, Wenxiu Cai, Bingzhi Chen |
| 2025 | ICASSP | Advancing Few-Shot Class-Incremental Learning with Virtual Prototype Guidance Prompting. | Xiang Qiu, Huanjia Zhu, Xiaocheng Fang, Jun Liang, Bingzhi Chen, Hui Lin |
| 2025 | IJCAI | Cause-Effect Driven Optimization for Robust Medical Visual Question Answering with Language Biases. | Huanjia Zhu, Yishu Liu, Xiaozhao Fang, Guangming Lu, Bingzhi Chen |
| 2025 | MICCAI | PerioDet: Large-Scale Panoramic Radiograph Benchmark for Clinical-Oriented Apical Periodontitis Detection. | Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Chengju Zhou, Minhua Lu, Bingzhi Chen |
| 2025 | MICCAI | Med-BiasX: Robust Medical Visual Question Answering with Language Biases. | Huanjia Zhu, Yishu Liu, Chengju Zhou, Guangming Lu, Bingzhi Chen |
| 2024 | AAAI | 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 |
| 2024 | ACML | 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 |
| 2024 | ICASSP | Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification. | Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang |
| 2024 | ICASSP | Medical Vision-Language Representation Learning with Cross-Modal Multi-Teacher Contrastive Distillation. | Bingzhi Chen, Jiawei Zhu, Yishu Liu, Biqing Zeng, Jiahui Pan, Meirong Ding |
| 2024 | IJCAI | Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. | Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang |
| 2024 | MICCAI | Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning. | Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu |
| 2023 | MICCAI | Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. | Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu |
| 2021 | ICASSP | 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 |