Determining fluctuation in bio-nanomachines from electron microscopy images. - Yunye Gong; Peter C. Doerschuk (ICIP, 2015)

3-D understanding of electron microscopy images of nano bio objects by computing generative mechanical models. - Yunye Gong; Peter C. Doerschuk (ICIP, 2016)

Learning Compositional Visual Concepts With Mutual Consistency. - Yunye Gong; Srikrishna Karanam; Ziyan Wu 001; Kuan-Chuan Peng; Jan Ernst; Peter C. Doerschuk (CVPR, 2018)

Confidence Calibration for Domain Generalization under Covariate Shift. - Yunye Gong; Xiao Lin; Yi Yao; Thomas G. Dietterich; Ajay Divakaran; Melinda T. Gervasio (ICCV, 2021)

Modular Adaptation for Cross-Domain Few-Shot Learning. - Xiao Lin; Meng Ye 002; Yunye Gong; Giedrius Burachas; Nikoletta Basiou; Ajay Divakaran; Yi Yao (CoRR, 2021)

Unpacking Large Language Models with Conceptual Consistency. - Pritish Sahu; Michael Cogswell; Yunye Gong; Ajay Divakaran (CoRR, 2022)

Confidence Calibration for Systems with Cascaded Predictive Modules. - Yunye Gong; Yi Yao; Xiao Lin; Ajay Divakaran; Melinda T. Gervasio (CoRR, 2023)

Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs. - Angel Daruna; Yunye Gong; Abhinav Rajvanshi; Han-Pang Chiu; Yi Yao (CoRR, 2023)

BloomVQA: Assessing Hierarchical Multi-modal Comprehension. - Yunye Gong; Robik Shrestha; Jared Claypoole; Michael Cogswell; Arijit Ray; Christopher Kanan; Ajay Divakaran (ACL (Findings), 2024)

Editorial: Geometries of learning. - Yunye Gong; Pavan Turaga; P. Thomas Fletcher; Ajay Divakaran (Frontiers Comput. Sci., 2025)

Recovering manifold representations via unsupervised meta-learning. - Yunye Gong; Jiachen Yao; Ruyi Lian; Xiao Lin; Chao Chen; Ajay Divakaran; Yi Yao (Frontiers Comput. Sci., 2025)