Mingjie Li

According to our database, Mingjie Li authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII.

Rezarta Islamaj, Po-Ting Lai, Chih-Hsuan Wei, Ling Luo, Tiago Melo Almeida, Richard A. A. Jonker, Sofia I R. Conceição, Diana F. Sousa, Cong-Phuoc Phan, Jung-Hsien Chiang, Jiru Li, Dinghao Pan, Wilailack Meesawad, Richard Tzong-Han Tsai, M. Janina Sarol, Gibong Hong, Airat Valiev, Elena Tutubalina, Shao-Man Lee, Yi-Yu Hsu, Mingjie Li, Karin Verspoor, Zhiyong Lu

Database J. Biol. Databases Curation, January, 2024

Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection.

Mingfei Han, Yali Wang, Mingjie Li, Xiaojun Chang, Yi Yang, Yu Qiao

IEEE Trans. Image Process., 2024

DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning.

Xiaopeng Wu, Guangsi Shi, Zexing Zhao, Mingjie Li, Xiaojun Gao, Xiaoli Yan

Expert Syst. Appl., 2024

Medical Report Generation Is A Multi-label Classification Problem.

Yijian Fan, Zhenbang Yang, Rui Liu, Mingjie Li, Xiaojun Chang

CoRR, 2024

Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection.

Junfei Yi, Jianxu Mao, Tengfei Liu, Mingjie Li, Hanyu Gu, Hui Zhang, Xiaojun Chang, Yaonan Wang

CoRR, 2024

Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification.

Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin

CoRR, 2024

EMBRE: Entity-aware Masking for Biomedical Relation Extraction.

Mingjie Li, Karin Verspoor

CoRR, 2024

In-Context Learning for Zero-shot Medical Report Generation.

Rui Liu, Mingjie Li, Shen Zhao, Ling Chen, Xiaojun Chang, Lina Yao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation.

Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Video Pivoting Unsupervised Multi-Modal Machine Translation.

Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Auxiliary signal-guided knowledge encoder-decoder for medical report generation.

Mingjie Li, Rui Liu, Fuyu Wang, Xiaojun Chang, Xiaodan Liang

World Wide Web (WWW), January, 2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.

Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang

CoRR, 2023

A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams.

Mingjie Li, Tharindu Rathnayake, Ben Beck, Lingheng Meng, Zijue Chen, Akansel Cosgun, Xiaojun Chang, Dana Kulic

CoRR, 2023

Mask Propagation for Efficient Video Semantic Segmentation.

Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation.

Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Generalizable Memory-driven Transformer for Multivariate Long Sequence Time-series Forecasting.

Mingjie Li, Xiaoyun Zhao, Rui Liu, Changlin Li, Xiaohan Wang, Xiaojun Chang

CoRR, 2022

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation.

Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark.

Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yingfeng Zheng, Yizhi Liu, Flora D. Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

GIS-Supervised Building Extraction With Label Noise-Adaptive Fully Convolutional Neural Network.

Zenghui Zhang, Weiwei Guo, Mingjie Li, Wenxian Yu

IEEE Geosci. Remote. Sens. Lett., 2020

Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation.

Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang

CoRR, 2020

2019

Knowledge driven temporal activity localization.

Changlin Li, Zhihui Li, Zongyuan Ge, Mingjie Li

J. Vis. Commun. Image Represent., 2019

MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video.

Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, Mingjie Li, Mengyuan Ma, Siyi Hu, Guoliang Kang, Junwei Liang, Liangke Gui, Lijun Yu, Yijun Qian, Jing Wen, Alexander G. Hauptmann

Proceedings of the 2019 TREC Video Retrieval Evaluation, 2019

2018

Rotated Region Based Fully Convolutional Network for Ship Detection.

Mingjie Li, Weiwei Guo, Zenghui Zhang, Wenxian Yu, Tao Zhang

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018