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Mingtao Dong
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2020 – today
- 2024
- [j4]Ang Feng
, Ruiqi Qiu, Jinglong Wang
, Jun Gong
, Yang Yi, Mingtao Dong:
Multimodal Forward Generation Transformer Network for Inconspicuous Pedestrian Trajectory Prediction. IEEE Robotics Autom. Lett. 9(3): 2224-2231 (2024) - 2023
- [j3]Yang Luo
, Xiqing Guo, Mingtao Dong, Jin Yu:
Learning Modality Complementary Features with Mixed Attention Mechanism for RGB-T Tracking. Sensors 23(14): 6609 (2023) - [c3]Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen:
Dense Retrieval as Indirect Supervision for Large-space Decision Making. EMNLP (Findings) 2023: 15021-15033 - [i4]Yang Luo, Xiqing Guo, Mingtao Dong, Jin Yu:
RGB-T Tracking Based on Mixed Attention. CoRR abs/2304.04264 (2023) - [i3]Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen:
Dense Retrieval as Indirect Supervision for Large-space Decision Making. CoRR abs/2310.18619 (2023) - 2022
- [j2]Mingtao Dong
, Jianhua Cheng, Lin Zhao:
A combination weighting model based on iMOEA/D-DE. Frontiers Inf. Technol. Electron. Eng. 23(4): 604-616 (2022) - [c2]Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen:
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. EMNLP 2022: 8642-8658 - [i2]Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen:
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. CoRR abs/2205.12640 (2022) - 2021
- [c1]Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu:
DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning. AMIA 2021
2010 – 2019
- 2019
- [j1]Jianhua Cheng
, Mingtao Dong
, Bing Qi
:
An OW-FCE Model Based on MDE Algorithm for Evaluating Integrated Navigation System. IEEE Access 7: 178918-178929 (2019) - 2018
- [i1]Mingtao Dong, Jindong Han:
HAR-Net: Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition. CoRR abs/1810.10929 (2018)
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