Yunfei Teng

According to our database, Yunfei Teng authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective.

Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin

CoRR, February, 2026

Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective.

Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin

CoRR, February, 2026

2025

LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization.

Yunfei Teng, Sixin Zhang

CoRR, September, 2025

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control.

Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song

CoRR, July, 2025

Learn to Position - A Novel Meta Method for Robotic Positioning.

Dongkun Wang, Junkai Zhao, Yunfei Teng, Jieyang Peng, Wenjing Xue, Xiaoming Tao

CoRR, June, 2025

CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction.

Yunfei Teng, Yuxuan Ren, Kai Chen, Xi Chen, Zhaoming Chen, Qiwei Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop.

Jing Wang, Yunfei Teng, Anna Choromanska

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Deep-learning-based object classification of tactile robot hand for smart factory.

Dongkun Wang, Yunfei Teng, Jieyang Peng, Junkai Zhao, Pengyang Wang

Appl. Intell., October, 2023

Dual-Transformer: A General Model for Traffic Accident Prediction.

Dongkun Wang, Jieyang Peng, Junkai Zhao, Yunfei Teng, Wenjing Xue, Xiaoming Tao

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

2022

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization.

Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2020

Continual learning with direction-constrained optimization.

Yunfei Teng, Anna Choromanska, Murray Campbell

CoRR, 2020

2019

Invertible Autoencoder for Domain Adaptation.

Yunfei Teng, Anna Choromanska

Comput., 2019

Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models.

Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Invertible Autoencoder for domain adaptation.

Yunfei Teng, Anna Choromanska, Mariusz Bojarski

CoRR, 2018