Yu Gui

According to our database, Yu Gui authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

ACS: An interactive framework for conformal selection.

Yu Gui, Ying Jin, Yash Nair, Zhimei Ren

CoRR, July, 2025

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables.

Yu Gui, Cong Ma, Zongming Ma

CoRR, May, 2025

Statistical Equilibrium of Optimistic Beliefs.

Yu Gui, Bahar Taskesen

CoRR, February, 2025

2024

Conformal Prediction: A Data Perspective.

Xiaofan Zhou, Baiting Chen, Yu Gui, Lu Cheng

CoRR, 2024

Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees.

Yu Gui, Ying Jin, Zhimei Ren

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage.

Yu Gui, Cong Ma, Yiqiao Zhong

CoRR, 2023

Conformalized matrix completion.

Yu Gui, Rina Barber, Cong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

FPGA-NHAP: A General FPGA-Based Neuromorphic Hardware Acceleration Platform With High Speed and Low Power.

Yijun Liu, Yuehai Chen, Wujian Ye, Yu Gui

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Multi-stream Information-Based Neural Network for Mammogram Mass Segmentation.

Zhilin Li, Zijian Deng, Li Chen, Yu Gui, Zhigang Cai, Jianwei Liao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2020

Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks.

Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu

CoRR, 2020

NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks.

Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

ADAGES: Adaptive Aggregation with Stability for Distributed Feature Selection.

Yu Gui

Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020