Mingchen Gao - RankMe

93 papers A* 9A 6C 1Misc 1Journal 42Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants. CoRR Mahesh Bhosale, Abdul Wasi, Shantam Srivastava, Shifa Latif, Tianyu Luan, Mingchen Gao, David S. Doermann, Xuan Gong
2026	J	`jnl`	Refining 3D Medical Segmentation with Verbal Instruction. CoRR Kangxian Xie, Jiancheng Yang, Nandor Pinter, Chao Wu, Behzad Bozorgtabar, Mingchen Gao
2026	J	`jnl`	Release the Potential of Memory Buffer in Continual Learning: A Dynamic System Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyi Wang, Li Shen, Tiehang Duan, Yanjun Zhu, Tongliang Liu, Mingchen Gao, Dacheng Tao
2026	J	`jnl`	Template-guided reconstruction of pulmonary segments with neural implicit functions. Medical Image Anal. Kangxian Xie, Yufei Zhu, Kaiming Kuang, Li Zhang, Hongwei Bran Li, Mingchen Gao, Jiancheng Yang
2026	J	`jnl`	Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation. CoRR Chao Wu, Kangxian Xie, Mingchen Gao
2025	J	`jnl`	From Efficiency to Adaptivity: A Deeper Look at Adaptive Reasoning in Large Language Models. CoRR Chao Wu, Baoheng Li, Mingchen Gao, Zhenyi Wang
2025	J	`jnl`	Model-Agnostic Gender Bias Control for Text-to-Image Generation via Sparse Autoencoder. CoRR Chao Wu, Zhenyi Wang, Kangxian Xie, Naresh Kumar Devulapally, Vishnu Suresh Lokhande, Mingchen Gao
2025	—	`conf`	Research on the Application and Development of Artificial Intelligence Assisted Education and Teaching under the Perspective of Human-Machine Collaboration. ICEIT Caixia Yang, Jie Jiang, Mingchen Gao
2025	J	`jnl`	SEPAL: A Consistency-Driven Programming Framework and Runtime Support for Human-Cyber-Physical Systems with Reliable Sensing and Dynamic Adaptation. J. Comput. Sci. Technol. Shu-hui Zhang, Rong Yang, Lingyu Zhang, Han Li, Ming-Xiao Wang, Mingchen Gao, Hao-Ming Hu, Hui-Yan Wang, Yi Qin, Chang Xu
2025	J	`jnl`	Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions. CoRR Kangxian Xie, Yufei Zhu, Kaiming Kuang, Li Zhang, Hongwei Bran Li, Mingchen Gao, Jiancheng Yang
2025	J	`jnl`	Unifying domain gap in Federated Learning: A geometric approach. Neurocomputing Mingxi Lei, Meng Ding, Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
2024	J	`jnl`	A Telemedicine Analytic Framework for Fully and Semi-Automatic Alzheimer's Disease Screening Using Clock Drawing Test. IEEE J. Biomed. Health Informatics Wei Bo, Suzanne S. Sullivan, Xiaoyu Zhang, Mingchen Gao, Wenyao Xu
2024	A	`conf`	Continual Domain Adversarial Adaptation via Double-Head Discriminators. AISTATS Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
2024	J	`jnl`	Continual Domain Adversarial Adaptation via Double-Head Discriminators. CoRR Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
2024	J	`jnl`	Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities. CoRR Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Mingchen Gao
2024	J	`jnl`	Self-Supervised Learning Based Handwriting Verification. CoRR Mihir Chauhan, Mohammad Abuzar Shaikh, Bina Ramamurthy, Mingchen Gao, Siwei Lyu, Sargur N. Srihari
2024	A	`conf`	Testing Constraint Checking Implementations via Principled Metamorphic Transformations. SANER Mingchen Gao, Huiyan Wang, Chang Xu
2024	—	`conf`	Training A Secure Model Against Data-Free Model Extraction. ECCV (79) Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao
2024	J	`jnl`	Vision-Language Model Based Handwriting Verification. CoRR Mihir Chauhan, Abhishek Satbhai, Mohammad Abuzar Hashemi, Mir Basheer Ali, Bina Ramamurthy, Mingchen Gao, Siwei Lyu, Sargur N. Srihari
2023	J	`jnl`	Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. CoRR Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin
2023	A*	`conf`	Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. ICCV Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin
2023	A*	`conf`	Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
2023	J	`jnl`	Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
2023	A	`conf`	FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. AAMAS Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
2023	A*	`conf`	MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
2023	A*	`conf`	Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. ICLR Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
2022	J	`jnl`	A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. CoRR Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao
2022	A	`conf`	Dual Space Multiple Instance Representative Learning for Medical Image Classification. BMVC Xiaoxian Zhang, Sheng Huang, Yi Zhang, Xiaohong Zhang, Mingchen Gao, Chen Liu
2022	—	`conf`	Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. DALI@MICCAI Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao
2022	J	`jnl`	Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach. CoRR Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
2022	A*	`conf`	Few-shot Learning via Dirichlet Tessellation Ensemble. ICLR Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
2022	A*	`conf`	Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022	J	`jnl`	Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022	A*	`conf`	Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
2022	—	`conf`	Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022	J	`jnl`	Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022	A	`conf`	Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
2022	J	`jnl`	Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. CoRR Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu
2021	J	`jnl`	An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation. CoRR Yan Shen, Zhanghexuan Ji, Mingchen Gao
2021	J	`jnl`	Erratum to "Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism". IEEE Trans. Medical Imaging Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu
2021	J	`jnl`	FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation. CoRR Yan Shen, Jian Du, Hao Zhang, Benyu Zhang, Zhanghexuan Ji, Mingchen Gao
2021	—	`conf`	Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition. MICCAI (8) Siwei Mai, Qian Li, Qi Zhao, Mingchen Gao
2021	—	`conf`	Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. MLMI@MICCAI Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao
2021	J	`jnl`	Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. CoRR Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao
2021	J	`jnl`	Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization. CoRR Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
2021	A	`conf`	Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. UAI Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu
2021	J	`jnl`	LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation. CoRR Mohammad Abuzar Shaikh, Zhanghexuan Ji, Dana Moukheiber, Sargur N. Srihari, Mingchen Gao
2021	A*	`conf`	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021	J	`jnl`	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021	J	`jnl`	Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism. IEEE Trans. Medical Imaging Qiuli Wang, Xiaohong Zhang, Wei Zhang, Mingchen Gao, Sheng Huang, Jian Wang, Jiuquan Zhang, Dan Yang, Chen Liu
2021	—	`conf`	Soft Attention Improves Skin Cancer Classification Performance. iMIMIC/TDA4MedicalData@MICCAI Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao
2021	J	`jnl`	Soft-Attention Improves Skin Cancer Classification Performance. CoRR Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao
2020	—	`conf`	An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. MLMI@MICCAI Yan Shen, Zhanghexuan Ji, Mingchen Gao
2020	—	`conf`	Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. ISBI Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu
2019	—	`conf`	Brain Tumor Segmentation on MRI with Missing Modalities. IPMI Yan Shen, Mingchen Gao
2019	J	`jnl`	Brain Tumor Segmentation on MRI with Missing Modalities. CoRR Yan Shen, Mingchen Gao
2019	—	`conf`	Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training. DART/MIL3ID@MICCAI Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie
2019	C	`conf`	Lighter U-net for segmenting white matter hyperintensities in MR images. MobiQuitous Jun Zhuang, Mingchen Gao, Mohammad Al Hasan
2019	—	`conf`	Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. MICCAI (2) Chunwei Ma, Zhanghexuan Ji, Mingchen Gao
2019	J	`jnl`	Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. CoRR Chunwei Ma, Zhanghexuan Ji, Mingchen Gao
2019	—	`conf`	Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. MICCAI (3) Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao
2019	J	`jnl`	Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. CoRR Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao
2018	—	`conf`	Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. MLMI@MICCAI Yan Shen, Mingchen Gao
2018	J	`jnl`	Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. CoRR Yan Shen, Mingchen Gao
2018	—	`conf`	Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network. BrainLes@MICCAI (1) Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu
2018	J	`jnl`	Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
2018	J	`jnl`	Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci
2017	J	`jnl`	Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. CoRR Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
2017	—	`ch.`	Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning. Deep Learning and Convolutional Neural Networks for Medical Image Computing Mingchen Gao, Ziyue Xu, Daniel J. Mollura
2017	—	`ch.`	Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	—	`conf`	Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI (1) Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
2016	J	`jnl`	Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features. CoRR Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	—	`conf`	Deep vessel tracking: A generalized probabilistic approach via deep learning. ISBI Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura
2016	—	`conf`	Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. MLMI@MICCAI Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
2016	—	`conf`	Segmentation label propagation using deep convolutional neural networks and dense conditional random field. ISBI Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura
2015	—	`conf`	Highly precise partial volume correction for PET images: An iterative approach via shape consistency. ISBI Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura
2015	—	`conf`	Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation. ISBI Sheng Huang, Mingchen Gao, Dan Yang, Xiaolei Huang, Ahmed M. Elgammal, Xiaohong Zhang
2014	—	`conf`	Morphological analysis of the papillary muscles and the trabeculae. ISBI Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris N. Metaxas, Leon Axel
2014	—	`conf`	Saliency-based rotation invariant descriptor for wrist detection in whole body CT images. ISBI Mingchen Gao, Yiqiang Zhan, Gerardo Hermosillo Valadez, Yoshihisa Shinagawa, Dimitris N. Metaxas, Xiang Sean Zhou
2013	J	`jnl`	3D anatomical shape atlas construction using mesh quality preserved deformable models. Comput. Vis. Image Underst. Shaoting Zhang, Yiqiang Zhan, Xinyi Cui, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas
2013	—	`conf`	High resolution cardiac shape registration using Ricci flow. ISBI Mingchen Gao, Rui Shi, Shaoting Zhang, Wei Zeng, Zhen Qian, Xianfeng David Gu, Dimitris N. Metaxas, Leon Axel
2013	—	`conf`	Papillary muscles analysis from high resolution CT using spatial-temporal skeleton extraction. ISBI Lin Zhong, Shaoting Zhang, Mingchen Gao, Junzhou Huang, Zhen Qian, Dimitris N. Metaxas, Leon Axel
2013	—	`conf`	Practical patient-specific cardiac blood flow simulations using SPH. ISBI Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel
2013	—	`conf`	Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles. IPMI Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Dimitris N. Metaxas, Leon Axel
2012	—	`conf`	3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models. MeshMed Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas
2012	—	`conf`	Simplified Labeling Process for Medical Image Segmentation. MICCAI (2) Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas
2012	Misc	`conf`	Towards robust device-free passive localization through automatic camera-assisted recalibration. SenSys Chenren Xu, Mingchen Gao, Bernhard Firner, Yanyong Zhang, Richard E. Howard, Jun Li
2011	—	`conf`	4D Cardiac Reconstruction Using High Resolution CT Images. FIMH Mingchen Gao, Junzhou Huang, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel
2011	A*	`conf`	Abnormal detection using interaction energy potentials. CVPR Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas
2011	—	`conf`	Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI. FIMH Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhennan Yan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas, Leon Axel
2011	—	`conf`	Using High Resolution Cardiac CT Data to Model and Visualize Patient-Specific Interactions between Trabeculae and Blood Flow. MICCAI (1) Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel