Qicheng Lao - RankMe

73 papers A* 8A 1Journal 48Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improving Medical Visual Reinforcement Fine-Tuning via Perception and Reasoning Augmentation. CoRR Guangjing Yang, ZhangYuan Yu, Ziyuan Qin, Xinyuan Song, Huahui Yi, Qingbo Kang, Jun Gao, Yiyue Li, Chenlin Du, Qicheng Lao
2026	J	`jnl`	MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding. CoRR Guangjing Yang, Ziyuan Qin, Chaoran Zhang, Chenlin Du, Jinlin Wang, Wanran Sun, Zhenyu Zhang, Bing Ji, Qicheng Lao
2026	J	`jnl`	Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor. CoRR Jiayu Huang, Xiaohu Wu, Tiantian He, Qicheng Lao
2026	J	`jnl`	When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining. CoRR Zhihao Li, Gezheng Xu, Jiale Cai, Ruiyi Fang, Di Wu, Qicheng Lao, Charles X. Ling, Boyu Wang
2025	J	`jnl`	Boosting Your Context by Dual Similarity Checkup for In-Context Learning Medical Image Segmentation. IEEE Trans. Medical Imaging Jun Gao, Qicheng Lao, Qingbo Kang, Paul Liu, Chenlin Du, Kang Li, Le Zhang
2025	J	`jnl`	Conda: Column-Normalized Adam for Training Large Language Models Faster. CoRR Junjie Wang, Pan Zhou, Yiming Dong, Huan Li, Jia Li, Xun Zhou, Qicheng Lao, Cong Fang, Zhouchen Lin
2025	—	`conf`	Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models. ISBI Anyang Ji, Qingbo Kang, Wei Xu, Changfan Wang, Kang Li, Qicheng Lao
2025	J	`jnl`	Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models. CoRR Anyang Ji, Qingbo Kang, Wei Xu, Changfan Wang, Kang Li, Qicheng Lao
2025	—	`conf`	D MICCAI (13) Qingbo Kang, Jun Gao, Hongkai Zhao, Zhu He, Kang Li, Qicheng Lao
2025	—	`conf`	Endoscopic Artifact Inpainting for Improved Endoscopic Image Segmentation. MICCAI (10) ZhangYuan Yu, Chenlin Du, Hongrui Liang, Xiuqi Zheng, Zeyao Ma, Mingjun Wu, Mingwu Ao, Qicheng Lao
2025	J	`jnl`	Enhancing diagnostic capability with multi-agents conversational large language models. npj Digit. Medicine Xi Chen, Huahui Yi, Mingke You, WeiZhi Liu, Li Wang, Hairui Li, Xue Zhang, Yingman Guo, Lei Fan, Gang Chen, Qicheng Lao, Weili Fu, Kang Li, Jian Li
2025	—	`conf`	Guiding Medical Vision-Language Models with Diverse Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. NAACL (Long Papers) Kangyu Zhu, Ziyuan Qin, Huahui Yi, Zekun Jiang, Qicheng Lao, Shaoting Zhang, Kang Li
2025	J	`jnl`	Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. CoRR Kangyu Zhu, Ziyuan Qin, Huahui Yi, Zekun Jiang, Qicheng Lao, Shaoting Zhang, Kang Li
2025	J	`jnl`	One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection. CoRR Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao
2025	A*	`conf`	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. ICML Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2025	J	`jnl`	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. CoRR Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2025	A*	`conf`	iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection. ICML Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, Qicheng Lao
2025	J	`jnl`	iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection. CoRR Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu, Kang Li, Qicheng Lao
2024	J	`jnl`	Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. CoRR Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Continual Learning of Image Classes With Language Guidance From a Vision-Language Model. IEEE Trans. Circuits Syst. Video Technol. Wentao Zhang, Yujun Huang, Weizhuo Zhang, Tong Zhang, Qicheng Lao, Yue Yu, Wei-Shi Zheng, Ruixuan Wang
2024	—	`conf`	Curriculum Prompting Foundation Models for Medical Image Segmentation. MICCAI (12) Xiuqi Zheng, Yuhang Zhang, Haoran Zhang, Hongrui Liang, Xueqi Bao, Zhuqing Jiang, Qicheng Lao
2024	J	`jnl`	Curriculum Prompting Foundation Models for Medical Image Segmentation. CoRR Xiuqi Zheng, Yuhang Zhang, Haoran Zhang, Hongrui Liang, Xueqi Bao, Zhuqing Jiang, Qicheng Lao
2024	J	`jnl`	Deblurring masked image modeling for ultrasound image analysis. Medical Image Anal. Qingbo Kang, Qicheng Lao, Jun Gao, Jingyan Liu, Huahui Yi, Buyun Ma, Xiaofan Zhang, Kang Li
2024	J	`jnl`	Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. Moi Hoon Yap, Bill Cassidy, Michal Byra, Ting-Yu Liao, Huahui Yi, Adrian Galdran, Yung-Han Chen, Raphael Brüngel, Sven Koitka, Christoph M. Friedrich, Yu-Wen Lo, Ching-Hui Yang, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick
2024	J	`jnl`	Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent. CoRR Ziyuan Qin, Dongjie Cheng, Haoyu Wang, Huahui Yi, Yuting Shao, Zhiyuan Fan, Kang Li, Qicheng Lao
2024	J	`jnl`	FlowX: Towards Explainable Graph Neural Networks via Message Flows. IEEE Trans. Pattern Anal. Mach. Intell. Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
2024	A*	`conf`	Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. NeurIPS Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. CoRR Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. IEEE Trans. Medical Imaging Yiyue Li, Guangwu Qian, Xiaoshuang Jiang, Zekun Jiang, Wen Wen, Shaoting Zhang, Kang Li, Qicheng Lao
2024	J	`jnl`	Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. CoRR Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Kang Li, Le Zhang
2024	—	`conf`	Learning Task-Level Pseudo-Text Prompt for Improved Medical Image Segmentation. BIBM Zhu He, Yaru Liu, Guangjing Yang, Xueqi Bao, Yufei Chai, Qicheng Lao
2024	J	`jnl`	MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning. CoRR Junjie Wang, Guangjing Yang, Wentao Chen, Huahui Yi, Xiaohu Wu, Qicheng Lao
2024	—	`conf`	Medical Language Mixture of Experts for Improving Medical Image Segmentation. BIBM Yaru Liu, Jiangbo Pei, Zhu He, Guangjing Yang, Zhuqing Jiang, Qicheng Lao
2024	A*	`conf`	One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection. NeurIPS Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao
2024	J	`jnl`	OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang
2024	—	`conf`	Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection. MICCAI (12) Chenlin Du, Xiaoxuan Chen, Jingyi Wang, Junjie Wang, Zhongsen Li, Zongjiu Zhang, Qicheng Lao
2024	J	`jnl`	TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. Big Data Min. Anal. Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Abdullaev Bakhrom Ismoilovich, Gayrat Urazboev, Yuldashov Elyorbek, Bekchanov Habibullo, Defu Tang, Linjing Wei, Kang Li, Le Zhang
2023	J	`jnl`	Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry. IEEE J. Biomed. Health Informatics Jun Gao, Qicheng Lao, Paul Liu, Huahui Yi, Qingbo Kang, Zekun Jiang, Xiaohu Wu, Kang Li, Yuanyuan Chen, Le Zhang
2023	J	`jnl`	ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models. CoRR Huahui Yi, Ziyuan Qin, Wei Xu, Miaotian Guo, Kun Wang, Shaoting Zhang, Kang Li, Qicheng Lao
2023	—	`conf`	Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition. MICCAI (1) Qingbo Kang, Jun Gao, Kang Li, Qicheng Lao
2023	J	`jnl`	Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition. CoRR Qingbo Kang, Jun Gao, Kang Li, Qicheng Lao
2023	A*	`conf`	MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY. ICLR Ziyuan Qin, Huahui Yi, Qicheng Lao, Kang Li
2023	—	`conf`	Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models. MICCAI (5) Miaotian Guo, Huahui Yi, Ziyuan Qin, Haiying Wang, Aidong Men, Qicheng Lao
2023	J	`jnl`	On the Benefits of Two Dimensional Metric Learning. IEEE Trans. Knowl. Data Eng. Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan
2023	J	`jnl`	SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. CoRR Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li
2023	J	`jnl`	Self-supervised anomaly detection, staging and segmentation for retinal images. Medical Image Anal. Yiyue Li, Qicheng Lao, Qingbo Kang, Zekun Jiang, Shiyi Du, Shaoting Zhang, Kang Li
2023	J	`jnl`	Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. CoRR Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li
2022	J	`jnl`	A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. IEEE Trans. Neural Networks Learn. Syst. Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
2022	—	`conf`	Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction. MICCAI (2) Shiyi Du, Qicheng Lao, Qingbo Kang, Yiyue Li, Zekun Jiang, Yanfeng Zhao, Kang Li
2022	J	`jnl`	FlowX: Towards Explainable Graph Neural Networks via Message Flows. CoRR Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
2022	J	`jnl`	Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study. CoRR Ziyuan Qin, Huahui Yi, Qicheng Lao, Kang Li
2022	—	`conf`	OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss. DFUC@MICCAI Huahui Yi, Wei Xu, Zekun Jiang, Jun Gao, Qingbo Kang, Qicheng Lao, Kang Li
2022	J	`jnl`	Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning. Medical Image Anal. Qingbo Kang, Qicheng Lao, Yiyue Li, Zekun Jiang, Yue Qiu, Shaoting Zhang, Kang Li
2022	—	`conf`	Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching. MICCAI (8) Jun Gao, Qicheng Lao, Qingbo Kang, Paul Liu, Le Zhang, Kang Li
2021	—	`conf`	Conditional Generation of Medical Images via Disentangled Adversarial Inference. DGM4MICCAI/DALI@MICCAI Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
2021	J	`jnl`	Conditional generation of medical images via disentangled adversarial inference. Medical Image Anal. Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
2021	J	`jnl`	FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
2021	A*	`conf`	Hypothesis Disparity Regularized Mutual Information Maximization. AAAI Qicheng Lao, Xiang Jiang, Mohammad Havaei
2021	J	`jnl`	Towards Adversarial Robustness via Transductive Learning. CoRR Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha
2020	J	`jnl`	Conditional Generation of Medical Images via Disentangled Adversarial Inference. CoRR Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
2020	J	`jnl`	Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
2020	J	`jnl`	FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
2020	J	`jnl`	Hypothesis Disparity Regularized Mutual Information Maximization. CoRR Qicheng Lao, Xiang Jiang, Mohammad Havaei
2020	A*	`conf`	Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2020	J	`jnl`	Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
2019	J	`jnl`	Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. CoRR Qicheng Lao, Thomas Fevens
2019	J	`jnl`	Cell Phenotype Classification Using Deep Residual Network and Its Variants. Int. J. Pattern Recognit. Artif. Intell. Qicheng Lao, Thomas Fevens
2019	A*	`conf`	Dual Adversarial Inference for Text-to-Image Synthesis. ICCV Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
2019	J	`jnl`	Dual Adversarial Inference for Text-to-Image Synthesis. CoRR Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
2019	—	`conf`	Nuclei Segmentation in Histopathological Images Using Two-Stage Learning. MICCAI (1) Qingbo Kang, Qicheng Lao, Thomas Fevens
2018	—	`conf`	Leveraging Disease Progression Learning for Medical Image Recognition. BIBM Qicheng Lao, Thomas Fevens, Boyu Wang
2018	J	`jnl`	Leveraging Disease Progression Learning for Medical Image Recognition. CoRR Qicheng Lao, Thomas Fevens
2017	A	`conf`	Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. BMVC Qicheng Lao, Thomas Fevens