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2020 – today
- 2024
[j3]Fukun Chen
, Xiaomeng Dong, Yicheng Luo, Ming Yang, Yong Liu, Anqi Xu, Jipu Wang, Sijuan Chen:
Research on the prediction of LOCA condition in nuclear power plants based on GRU recurrent neural network and its variants. Qual. Reliab. Eng. Int. 40(2): 759-782 (2024)- [j2]Xiaomeng Dong, Gang Wang, K. C. Ho, Lei Huang:
Rigid Body Localization in Unsynchronized Sensor Networks: Analysis and Solution. IEEE Trans. Wirel. Commun. 23(4): 2901-2916 (2024) - 2023
- [i7]Dingning Liu, Xiaomeng Dong, Renrui Zhang, Xu Luo, Peng Gao, Xiaoshui Huang, Yongshun Gong, Zhihui Wang:
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V. CoRR abs/2312.09738 (2023) - 2022
- [j1]Chang Liu, Fengying Xie, Xiaomeng Dong, Hongxia Gao, Haopeng Zhang:
Small Target Detection From Infrared Remote Sensing Images Using Local Adaptive Thresholding. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1941-1952 (2022) - [c3]Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis:
Autonomous Learning Rate Optimization for Deep Learning. LION 2022: 292-305 - [c2]Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli, Theodore B. Trafalis:
Optimizing Data Augmentation Policy Through Random Unidimensional Search. LION 2022: 306-318 - [i6]Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni:
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. CoRR abs/2207.07739 (2022) - 2021
- [i5]Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli:
Automating Augmentation Through Random Unidimensional Search. CoRR abs/2106.08756 (2021) - [i4]Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli:
To Raise or Not To Raise: The Autonomous Learning Rate Question. CoRR abs/2106.08767 (2021)
2010 – 2019
- 2019
- [i3]Dibyajyoti Pati, Caroline Favart, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Michael Potter, Jiahui Guan, Xiaomeng Dong, V. Ratna Saripalli:
Impact of Inference Accelerators on hardware selection. CoRR abs/1910.03060 (2019) - [i2]Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash:
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. CoRR abs/1910.04875 (2019) - 2018
- [i1]Xiaomeng Dong, E. N. Barnett, Sudarshan K. Dhall:
Parallel Matrix Condensation for Calculating Log-Determinant of Large Matrix. CoRR abs/1811.08057 (2018) - 2017
- [c1]XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang:
Thyroid Nodule Benignty Prediction by Deep Feature Extraction. BIBE 2017: 241-245
Coauthor Index
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