Zongyuan Ge
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
81
Venues
18
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
81 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses. | Chongyuan Dai, Yaling Shen, Zihan Gao, Jia Li, Yishun Jiang, Yaxiong Wang, Liu Liu, Zongyuan Ge, Jinpeng Hu |
| 2026 | ACL | PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics. | Yaling Shen, Stephanie Fong, Yiwen Jiang, Zimu Wang, Feilong Tang, Qingyang Xu, Xiangyu Zhao, Zhongxing Xu, Jiahe Liu, Jinpeng Hu, Dominic Dwyer, Zongyuan Ge |
| 2026 | ACL | TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. | Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Zongyuan Ge, Yutong Xie, Imran Razzak |
| 2026 | EACL | CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations. | Stephanie Fong, Zimu Wang, Guilherme C. Oliveira, Xiangyu Zhao, Yiwen Jiang, Jiahe Liu, Beau-Luke Colton, Scott W. Woods, Martha Shenton, Barnaby Nelson, Zongyuan Ge, Dominic Dwyer |
| 2025 | AAAI | Towards Realistic Semi-supervised Medical Image Classification. | Wenxue Li, Lie Ju, Feilong Tang, Peng Xia, Xinyu Xiong, Ming Hu, Lei Zhu, Zongyuan Ge |
| 2025 | AAAI | Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation. | Feilong Tang, Zhongxing Xu, Ming Hu, Wenxue Li, Peng Xia, Yiheng Zhong, Hanjun Wu, Jionglong Su, Zongyuan Ge |
| 2025 | AAAI | Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP. | Zhongxing Xu, Feilong Tang, Zhe Chen, Yingxue Su, Zhiyi Zhao, Ge Zhang, Jionglong Su, Zongyuan Ge |
| 2025 | ACL | Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models. | Yiwen Jiang, Deval Mehta, Wei Feng, Zongyuan Ge |
| 2025 | ACL | MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. | Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao |
| 2025 | COLING | HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. | Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge |
| 2025 | CVPR | Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. | Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge |
| 2025 | EMNLP | WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification. | Yiwen Jiang, Deval Mehta, Siyuan Yan, Yaling Shen, Zimu Wang, Zongyuan Ge |
| 2025 | ICCV | SynFER: Towards Boosting Facial Expression Recognition With Synthetic Data. | Xilin He, Cheng Luo, Xiaole Xian, Bing Li, Muhammad Haris Khan, Zongyuan Ge, Weicheng Xie, Siyang Song, Linlin Shen, Bernard Ghanem, Xiangyu Yue |
| 2025 | ICCV | OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. | Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge |
| 2025 | ICCV | Derm1M: A Million-Scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology. | Siyuan Yan, Ming Hu, Yiwen Jiang, Xieji Li, Hao Fei, Philipp Tschandl, Harald Kittler, Zongyuan Ge |
| 2025 | IROS | PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding. | Wenxuan Song, Jiayi Chen, Pengxiang Ding, Han Zhao, Wei Zhao, Zhide Zhong, Zongyuan Ge, Zhijun Li, Donglin Wang, Lujia Wang, Jun Ma, Haoang Li |
| 2025 | ICRA | MoRE: Unlocking Scalability in Reinforcement Learning for Quadruped Vision-Language-Action Models. | Han Zhao, Wenxuan Song, Donglin Wang, Xinyang Tong, Pengxiang Ding, Xuelian Cheng, Zongyuan Ge |
| 2025 | KSEM | Enhancing Fundus Image-Based Glaucoma Screening via Dynamic Global-Local Feature Integration. | Yuzhuo Zhou, Chi Liu, Sheng Shen, Siyu Le, Liwen Yu, Sihan Ouyang, Zongyuan Ge |
| 2025 | MICCAI | Privacy-Centric Seizure Diagnosis via Relation-Aware Fusion of Minimally-Invasive Modalities. | Talha Ilyas, Deval Mehta, Shobi Sivathamboo, Ilma Wijaya, Rob Steele, Hugh Simpson, Lyn Millist, Terence J. O'Brien, Patrick Kwan, Zongyuan Ge |
| 2025 | MICCAI | Delving Into Out-of-Distribution Detection with Medical Vision-Language Models. | Lie Ju, Sijin Zhou, Yukun Zhou, Huimin Lu, Zhuoting Zhu, Pearse A. Keane, Zongyuan Ge |
| 2025 | MICCAI | Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. | Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijing Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He |
| 2025 | MICCAI | Knowledge Tree Driven Contextualized Instruction Tuning of Foundation Models for Epilepsy Drug Recommendation. | Duy Khoa Pham, Deval Mehta, Yiwen Jiang, Daniel Thom, Richard Shek-kwan Chang, Mohammad Nazem-Zadeh, Emma Foster, Timothy Fazio, Sarah Holper, Karin Verspoor, Jiahe Liu, Duong Nhu, Sarah Barnard, Terence J. O'Brien, Zhibin Chen, Jacqueline French, Patrick Kwan, Zongyuan Ge |
| 2025 | MICCAI | Controllable Skin Synthesis via Lesion-Focused Vector Autoregression Model. | Jiajun Sun, Zhen Yu, Siyuan Yan, Jason J. Ong, Zongyuan Ge, Lei Zhang |
| 2025 | MICCAI | Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. | Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak |
| 2025 | MICCAI | MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. | Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su |
| 2025 | MICCAI | MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-Shot Dermatological Assessment. | Siyuan Yan, Xieji Li, Ming Hu, Yiwen Jiang, Zhen Yu, Zongyuan Ge |
| 2025 | WACV | Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images. | Jun Chen, Faizan Farooq Khan, Ming Hu, Ammar Sherif, Zongyuan Ge, Boyang Li, Mohamed Elhoseiny |
| 2024 | AAAI | Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran |
| 2024 | AusDM | A Novel Vision-Based Transformer for Seizure Detection with Multi-biosignals. | Sheng Wong, Scott Barnett, Shobi Sivathamboo, Piero Perucca, Zongyuan Ge, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien |
| 2024 | CVPR | Diversified and Personalized Multi-Rater Medical Image Segmentation. | Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai |
| 2024 | CVPR | Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. | Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge |
| 2024 | ECCV | OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. | Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jrgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge |
| 2024 | ICLR | EventRPG: Event Data Augmentation with Relevance Propagation Guidance. | Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu |
| 2024 | MICCAI | Universal Semi-supervised Learning for Medical Image Classification. | Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, Zongyuan Ge |
| 2024 | MICCAI | TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM. | Wenxue Li, Xinyu Xiong, Peng Xia, Lie Ju, Zongyuan Ge |
| 2024 | MICCAI | Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. | Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge |
| 2024 | MICCAI | Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance. | Weiyi Zhang, Siyu Huang, Jiancheng Yang, Ruoyu Chen, Zongyuan Ge, Yingfeng Zheng, Danli Shi, Mingguang He |
| 2023 | AAAI | Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. | Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge |
| 2023 | CVPR | Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. | Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge |
| 2023 | DICTA | Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network. | Fatima Al Zegair, Chantal Rutjes, Brigid Betz-Stablein, Zongyuan Ge, H. Peter Soyer, Shekhar S. Chandra |
| 2023 | MICCAI | Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. | Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge |
| 2023 | MICCAI | Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery. | Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra |
| 2023 | MICCAI | Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. | Dwarikanath Mahapatra, Antonio Jos Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge |
| 2023 | MICCAI | Privacy-Preserving Early Detection of Epileptic Seizures in Videos. | Deval Mehta, Shobi Sivathamboo, Hugh Simpson, Patrick Kwan, Terence J. O'Brien, Zongyuan Ge |
| 2023 | MICCAI | EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. | Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge |
| 2023 | MICCAI | Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning. | Zhen Yu, Ruiye Chen, Peng Gui, Lie Ju, Xianwen Shang, Zhuoting Zhu, Mingguang He, Zongyuan Ge |
| 2023 | MICCAI | EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos. | Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge |
| 2023 | MICCAI | Deep Survival Analysis in Multiple Sclerosis. | Xin Zhang, Deval Mehta, Chao Zhu, Daniel Merlo, Yanan Hu, Melissa Gresle, David Darby, Anneke van der Walt, Helmut Butzkueven, Zongyuan Ge |
| 2022 | AAAI | Learning Network Architecture for Open-Set Recognition. | Xuelin Zhang, Xuelian Cheng, Donghao Zhang, C. Paul Bonnington, Zongyuan Ge |
| 2022 | CVPR | Implicit Motion Handling for Video Camouflaged Object Detection. | Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge |
| 2022 | CVPR | Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization. | Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang |
| 2022 | MICCAI | Deep Laparoscopic Stereo Matching with Transformers. | Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge |
| 2022 | MICCAI | Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. | Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge |
| 2022 | MICCAI | Flexible Sampling for Long-Tailed Skin Lesion Classification. | Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge |
| 2022 | MICCAI | Camera Adaptation for Fundus-Image-Based CVD Risk Estimation. | Zhihong Lin, Danli Shi, Donghao Zhang, Xianwen Shang, Mingguang He, Zongyuan Ge |
| 2022 | MICCAI | Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images. | Deval Mehta, Yaniv Gal, Adrian Bowling, C. Paul Bonnington, Zongyuan Ge |
| 2022 | MICCAI | Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation. | Yicheng Wu, Zhonghua Wu, Qianyi Wu, Zongyuan Ge, Jianfei Cai |
| 2022 | MICCAI | Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation. | Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge |
| 2022 | MICCAI | Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings. | Zhen Yu, Ton D. Nguyn, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge |
| 2021 | ICCV | Vision-Language Navigation with Random Environmental Mixup. | Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen |
| 2021 | ICLR | Robust early-learning: Hindering the memorization of noisy labels. | Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang |
| 2021 | MICCAI | Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. | Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge |
| 2021 | MICCAI | Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge |
| 2021 | MICCAI | Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. | Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge |
| 2021 | MICCAI | Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. | Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra |
| 2021 | MICCAI | Medical Matting: A New Perspective on Medical Segmentation with Uncertainty. | Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge |
| 2021 | MICCAI | Semi-supervised Left Atrium Segmentation with Mutual Consistency Training. | Yicheng Wu, Minfeng Xu, Zongyuan Ge, Jianfei Cai, Lei Zhang |
| 2021 | MICCAI | End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers. | Zhen Yu, Victoria Mar, Anders Eriksson, Shakes Chandra, C. Paul Bonnington, Lei Zhang, Zongyuan Ge |
| 2020 | AAAI | Geometry-Constrained Car Recognition Using a 3D Perspective Network. | Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes |
| 2020 | CVPR | ZSTAD: Zero-Shot Temporal Activity Detection. | Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann |
| 2020 | KDD | Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. | Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang |
| 2020 | MICCAI | Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps. | James Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, Zongyuan Ge |
| 2020 | MICCAI | Improve Unseen Domain Generalization via Enhanced Local Color Transformation. | Jianhao Xiong, Andre Wang He, Meng Fu, Xinyue Hu, Yifan Zhang, Congxin Liu, Xin Zhao, Zongyuan Ge |
| 2019 | IROS | Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks. | David Jakes, Zongyuan Ge, Liao Wu |
| 2019 | MICCAI | Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. | Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See |
| 2019 | MICCAI | Retinal Abnormalities Recognition Using Regional Multitask Learning. | Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge |
| 2019 | MICCAI | Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation. | Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond |
| 2018 | MICCAI | Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. | Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty |
| 2018 | MICCAI | Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images. | Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi |
| 2017 | BMVC | Generative OpenMax for Multi-Class Open Set Classification. | Zongyuan Ge, Sergey Demyanov, Rahil Garnavi |
| 2017 | MICCAI | Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images. | Zongyuan Ge, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi |