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Mingjie Li 0006
Person information
- affiliation: Monash University, Australia
Other persons with the same name
- Mingjie Li — disambiguation page
- Mingjie Li 0001 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Mingjie Li 0002 — Hanyang University, Department of Electrical Systems Engineering, Ansan, South Korea
- Mingjie Li 0003 — National Marine Environmental Forecasting Center, Beijing, China
- Mingjie Li 0004 — University of Technology Sydney, Centre for Artificial Intelligence, School of Computer Science, Australia (and 1 more)
- Mingjie Li 0005 — Tsinghua University, Beijing, China
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2020 – today
- 2024
- [j7]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:
The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. Database J. Biol. Databases Curation 2024 (2024) - [j6]Xiaopeng Wu, Guangsi Shi, Zexing Zhao, Mingjie Li, Xiaojun Gao, Xiaoli Yan:
DCCN: A dual-cross contrastive neural network for 3D point cloud representation learning. Expert Syst. Appl. 249: 123564 (2024) - [j5]Mingfei Han, Yali Wang, Mingjie Li, Xiaojun Chang, Yi Yang, Yu Qiao:
Progressive Frame-Proposal Mining for Weakly Supervised Video Object Detection. IEEE Trans. Image Process. 33: 1560-1573 (2024) - [c7]Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang:
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. ECCV (43) 2024: 162-180 - [i12]Mingjie Li, Karin Verspoor:
EMBRE: Entity-aware Masking for Biomedical Relation Extraction. CoRR abs/2401.07877 (2024) - [i11]Gexin Huang, Chenfei Wu, Mingjie Li, Xiaojun Chang, Ling Chen, Ying Sun, Shen Zhao, Xiaodan Liang, Liang Lin:
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification. CoRR abs/2406.02990 (2024) - [i10]Junfei Yi, Jianxu Mao, Tengfei Liu, Mingjie Li, Hanyu Gu, Hui Zhang, Xiaojun Chang, Yaonan Wang:
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection. CoRR abs/2406.06999 (2024) - [i9]Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang:
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. CoRR abs/2407.14474 (2024) - [i8]Yijian Fan, Zhenbang Yang, Rui Liu, Mingjie Li, Xiaojun Chang:
Medical Report Generation Is A Multi-label Classification Problem. CoRR abs/2409.00250 (2024) - 2023
- [j4]Mingjie Li, Po-Yao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann:
Video Pivoting Unsupervised Multi-Modal Machine Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3918-3932 (2023) - [j3]Mingjie Li, Rui Liu, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary signal-guided knowledge encoder-decoder for medical report generation. World Wide Web (WWW) 26(1): 253-270 (2023) - [c6]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang:
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. CVPR 2023: 3334-3343 - [c5]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. NeurIPS 2023 - [i7]Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang:
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation. CoRR abs/2303.10323 (2023) - [i6]Mingjie Li, Tharindu Rathnayake, Ben Beck, Lingheng Meng, Zijue Chen, Akansel Cosgun, Xiaojun Chang, Dana Kulic:
A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams. CoRR abs/2304.11868 (2023) - [i5]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:
Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining. CoRR abs/2304.14204 (2023) - [i4]Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang:
Mask Propagation for Efficient Video Semantic Segmentation. CoRR abs/2310.18954 (2023) - 2022
- [c4]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CVPR 2022: 20624-20633 - [i3]Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang:
Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. CoRR abs/2206.01988 (2022) - [i2]Mingjie Li, Xiaoyun Zhao, Rui Liu, Changlin Li, Xiaohan Wang, Xiaojun Chang:
Generalizable Memory-driven Transformer for Multivariate Long Sequence Time-series Forecasting. CoRR abs/2207.07827 (2022) - 2021
- [c3]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:
FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark. NeurIPS Datasets and Benchmarks 2021 - 2020
- [j2]Zenghui Zhang, Weiwei Guo, Mingjie Li, Wenxian Yu:
GIS-Supervised Building Extraction With Label Noise-Adaptive Fully Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 17(12): 2135-2139 (2020) - [i1]Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation. CoRR abs/2006.03744 (2020)
2010 – 2019
- 2019
- [j1]Changlin Li, Zhihui Li, Zongyuan Ge, Mingjie Li:
Knowledge driven temporal activity localization. J. Vis. Commun. Image Represent. 64 (2019) - [c2]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:
MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. TRECVID 2019 - 2018
- [c1]Mingjie Li, Weiwei Guo, Zenghui Zhang, Wenxian Yu, Tao Zhang:
Rotated Region Based Fully Convolutional Network for Ship Detection. IGARSS 2018: 673-676
Coauthor Index
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last updated on 2024-11-04 20:40 CET by the dblp team
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