Yunfei Teng

16 papers A* 2A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analyzing and Improving Diffusion Models for Time-Series Data Imputation: A Proximal Recursion Perspective.
CoRR
Zhichao Chen, Hao Wang, Fangyikang Wang, Licheng Pan, Zhengnan Li, Yunfei Teng, Haoxuan Li, Zhouchen Lin
2026 J jnl
Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective.
CoRR
Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin
2025 A* conf
CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction.
ICLR
Yunfei Teng, Yuxuan Ren, Kai Chen, Xi Chen, Zhaoming Chen, Qiwei Ye
2025 J jnl
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization.
CoRR
Yunfei Teng, Sixin Zhang
2025 J jnl
Learn to Position - A Novel Meta Method for Robotic Positioning.
CoRR
Dongkun Wang, Junkai Zhao, Yunfei Teng, Jieyang Peng, Wenjing Xue, Xiaoming Tao
2025 J jnl
Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control.
CoRR
Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song
2024 A conf
AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop.
UAI
Jing Wang, Yunfei Teng, Anna Choromanska
2023 J jnl
Deep-learning-based object classification of tactile robot hand for smart factory.
Appl. Intell.
Dongkun Wang, Yunfei Teng, Jieyang Peng, Junkai Zhao, Pengyang Wang
2023 — conf
Dual-Transformer: A General Model for Traffic Accident Prediction.
VTC Fall
Dongkun Wang, Jieyang Peng, Junkai Zhao, Yunfei Teng, Wenjing Xue, Xiaoming Tao
2022 — conf
Overcoming Catastrophic Forgetting via Direction-Constrained Optimization.
ECML/PKDD (1)
Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh
2021 J jnl
AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop.
CoRR
Yunfei Teng, Jing Wang, Anna Choromanska
2020 J jnl
Continual learning with direction-constrained optimization.
CoRR
Yunfei Teng, Anna Choromanska, Murray Campbell
2019 J jnl
Invertible Autoencoder for Domain Adaptation.
Comput.
Yunfei Teng, Anna Choromanska
2019 A* conf
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models.
NeurIPS
Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller
2019 J jnl
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models.
CoRR
Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller
2018 J jnl
Invertible Autoencoder for domain adaptation.
CoRR
Yunfei Teng, Anna Choromanska, Mariusz Bojarski