Xiaomeng Dong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Sensor Networks

Top Venues

IEEE Trans. Wirel. Commun.

Publications

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) (2024)
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) (2024)
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 (2023)
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)
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)
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 (2022)
Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. CoRR (2022)
Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli
Automating Augmentation Through Random Unidimensional Search. CoRR (2021)
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 (2021)
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 (2019)
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 (2019)
Xiaomeng Dong, E. N. Barnett, Sudarshan K. Dhall
Parallel Matrix Condensation for Calculating Log-Determinant of Large Matrix. CoRR (2018)
XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang
Thyroid Nodule Benignty Prediction by Deep Feature Extraction. BIBE (2017)