Xiaomeng Dong

18 papers C 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping.
CoRR
Hongxu Yang, Najib Akram Aboobacker, Xiaomeng Dong, German Gonzalez, Lehel Ferenczi, Gopal Avinash
2025 — conf
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models.
NAACL (Findings)
Zizhang Chen, Peizhao Li, Xiaomeng Dong, Pengyu Hong
2025 J jnl
Unsupervised Deep Image Stitching for Remote Sensing: Aligning Features Across Large-Scale Geometric Distortions.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Linwei Qiu, Chang Liu, Gongzhe Li, Xiaomeng Dong, Fengying Xie, Zhenwei Shi
2024 J jnl
Research on the prediction of LOCA condition in nuclear power plants based on GRU recurrent neural network and its variants.
Qual. Reliab. Eng. Int.
Fukun Chen, Xiaomeng Dong, Yicheng Luo, Ming Yang, Yong Liu, Anqi Xu, Jipu Wang, Sijuan Chen
2024 J jnl
Rigid Body Localization in Unsynchronized Sensor Networks: Analysis and Solution.
IEEE Trans. Wirel. Commun.
Xiaomeng Dong, Gang Wang, K. C. Ho, Lei Huang
2024 J jnl
To raise or not to raise: the autonomous learning rate question.
Ann. Math. Artif. Intell.
Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis
2024 J jnl
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models.
CoRR
Zizhang Chen, Peizhao Li, Xiaomeng Dong, Pengyu Hong
2023 J jnl
3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V.
CoRR
Dingning Liu, Xiaomeng Dong, Renrui Zhang, Xu Luo, Peng Gao, Xiaoshui Huang, Yongshun Gong, Zhihui Wang
2022 J jnl
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.
CoRR
Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni
2022 — conf
Autonomous Learning Rate Optimization for Deep Learning.
LION
Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis
2022 — conf
Optimizing Data Augmentation Policy Through Random Unidimensional Search.
LION
Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli, Theodore B. Trafalis
2022 J jnl
Small Target Detection From Infrared Remote Sensing Images Using Local Adaptive Thresholding.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Chang Liu, Fengying Xie, Xiaomeng Dong, Hongxia Gao, Haopeng Zhang
2021 J jnl
Automating Augmentation Through Random Unidimensional Search.
CoRR
Xiaomeng Dong, Michael Potter, Gaurav Kumar, Yun-Chan Tsai, V. Ratna Saripalli
2021 J jnl
To Raise or Not To Raise: The Autonomous Learning Rate Question.
CoRR
Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli
2019 J jnl
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization.
CoRR
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
2019 J jnl
Impact of Inference Accelerators on hardware selection.
CoRR
Dibyajyoti Pati, Caroline Favart, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Michael Potter, Jiahui Guan, Xiaomeng Dong, V. Ratna Saripalli
2018 J jnl
Parallel Matrix Condensation for Calculating Log-Determinant of Large Matrix.
CoRR
Xiaomeng Dong, E. N. Barnett, Sudarshan K. Dhall
2017 C conf
Thyroid Nodule Benignty Prediction by Deep Feature Extraction.
BIBE
Xueyan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang