Invertible Autoencoder for domain adaptation. - Yunfei Teng; Anna Choromanska; Mariusz Bojarski (CoRR, 2018)

Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. - Yunfei Teng; Wenbo Gao; François Chalus; Anna Choromanska; Donald Goldfarb; Adrian Weller (NeurIPS, 2019)

Invertible Autoencoder for Domain Adaptation. - Yunfei Teng; Anna Choromanska (Comput., 2019)

Continual learning with direction-constrained optimization. - Yunfei Teng; Anna Choromanska; Murray Campbell (CoRR, 2020)

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization. - Yunfei Teng; Anna Choromanska; Murray Campbell; Songtao Lu; Parikshit Ram; Lior Horesh (ECML/PKDD (1), 2022)

Dual-Transformer: A General Model for Traffic Accident Prediction. - Dongkun Wang; Jieyang Peng; Junkai Zhao; Yunfei Teng; Wenjing Xue; Xiaoming Tao 001 (VTC Fall, 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., 2023)

AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop. - Jing Wang 178; Yunfei Teng; Anna Choromanska (UAI, 2024)

CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction. - Yunfei Teng; Yuxuan Ren; Kai Chen; Xi Chen; Zhaoming Chen; Qiwei Ye (ICLR, 2025)

Learn to Position - A Novel Meta Method for Robotic Positioning. - Dongkun Wang; Junkai Zhao; Yunfei Teng; Jieyang Peng; Wenjing Xue; Xiaoming Tao 001 (CoRR, 2025)

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control. - Zhichao Chen 001; Hao Wang 049; Licheng Pan; Yiran Ma; Yunfei Teng; Jiaze Ma; Le Yao; Zhiqiang Ge; Zhihuan Song (CoRR, 2025)