Xiaomeng Dong

According to our database, Xiaomeng Dong authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

Rigid Body Localization in Unsynchronized Sensor Networks: Analysis and Solution.

Xiaomeng Dong, Gang Wang, K. C. Ho, Lei Huang

IEEE Trans. Wirel. Commun., April, 2024

Research on the prediction of LOCA condition in nuclear power plants based on GRU recurrent neural network and its variants.

Fukun Chen, Xiaomeng Dong, Yicheng Luo, Ming Yang, Yong Liu, Anqi Xu, Jipu Wang, Sijuan Chen

Qual. Reliab. Eng. Int., March, 2024

2023

3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V.

Dingning Liu, Xiaomeng Dong, Renrui Zhang, Xu Luo, Peng Gao, Xiaoshui Huang, Yongshun Gong, Zhihui Wang

CoRR, 2023

2022

Small Target Detection From Infrared Remote Sensing Images Using Local Adaptive Thresholding.

Chang Liu, Fengying Xie, Xiaomeng Dong, Hongxia Gao, Haopeng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.

Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni

CoRR, 2022

Autonomous Learning Rate Optimization for Deep Learning.

Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

Optimizing Data Augmentation Policy Through Random Unidimensional Search.

Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli, Theodore B. Trafalis

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

2021

To Raise or Not To Raise: The Autonomous Learning Rate Question.

Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli

CoRR, 2021

Automating Augmentation Through Random Unidimensional Search.

Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli

CoRR, 2021

2019

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization.

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

CoRR, 2019

Impact of Inference Accelerators on hardware selection.

Dibyajyoti Pati, Caroline Favart, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Michael Potter, Jiahui Guan, Xiaomeng Dong, V. Ratna Saripalli

CoRR, 2019

2018

Parallel Matrix Condensation for Calculating Log-Determinant of Large Matrix.

Xiaomeng Dong, E. N. Barnett, Sudarshan K. Dhall

CoRR, 2018

2017

Thyroid Nodule Benignty Prediction by Deep Feature Extraction.

XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017