Thyroid Nodule Benignty Prediction by Deep Feature Extraction. - XueYan Mei; Xiaomeng Dong; Timothy Deyer; Jingyi Zeng; Theodore B. Trafalis; Yan Fang (BIBE, 2017)

Parallel Matrix Condensation for Calculating Log-Determinant of Large Matrix. - Xiaomeng Dong; E. N. Barnett; Sudarshan K. Dhall (CoRR, 2018)

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)

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; et al. (CoRR, 2019)

Automating Augmentation Through Random Unidimensional Search. - Xiaomeng Dong; Michael Potter; Gaurav Kumar; Yun-Chan Tsai; V. Ratna Saripalli (CoRR, 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)

Optimizing Data Augmentation Policy Through Random Unidimensional Search. - Xiaomeng Dong; Michael Potter; Gaurav Kumar; Yun-Chan Tsai; V. Ratna Saripalli; Theodore B. Trafalis (LION, 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 (LION, 2022)

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples. - Chen Liu; Xiaomeng Dong; Michael Potter; Hsi-Ming Chang; Ravi Soni (CoRR, 2022)

Small Target Detection From Infrared Remote Sensing Images Using Local Adaptive Thresholding. - Chang Liu 090; Fengying Xie; Xiaomeng Dong; Hongxia Gao; Haopeng Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V. - Dingning Liu; Xiaomeng Dong; Renrui Zhang; Xu Luo; Peng Gao 007; Xiaoshui Huang; Yongshun Gong; Zhihui Wang 001 (CoRR, 2023)

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 001; Jipu Wang; Sijuan Chen (Qual. Reliab. Eng. Int., 2024)

Rigid Body Localization in Unsynchronized Sensor Networks: Analysis and Solution. - Xiaomeng Dong; Gang Wang 007; K. C. Ho 001; Lei Huang 001 (IEEE Trans. Wirel. Commun., 2024)

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; Theodore B. Trafalis (Ann. Math. Artif. Intell., 2024)

Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models. - Zizhang Chen; Peizhao Li; Xiaomeng Dong; Pengyu Hong (NAACL (Findings), 2025)

Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping. - Hongxu Yang; Najib Akram Aboobacker; Xiaomeng Dong; German Gonzalez; Lehel Ferenczi; Gopal Avinash (CoRR, 2025)