Ben Dai

According to our database, Ben Dai authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Significance Tests of Feature Relevance for a Black-Box Learner.

Ben Dai, Xiaotong Shen, Wei Pan

IEEE Trans. Neural Networks Learn. Syst., February, 2024

EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification.

Ben Dai

CoRR, 2024

ImbaGCD: Imbalanced Generalized Category Discovery.

Ziyun Li, Ben Dai, Furkan Simsek, Christoph Meinel, Haojin Yang

CoRR, 2024

Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery.

Ziyun Li, Ben Dai, Christoph Meinel, Haojin Yang

Proceedings of the International Joint Conference on Neural Networks, 2024

Inference of nonlinear causal effects with application to TWAS with GWAS summary data.

Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen

Proceedings of the Causal Learning and Reasoning, 2024

2023

Interleaved Boost-Integrated LC Series Resonant Converter With Frequency-Free Designed Transformer for Wide Voltage Range Applications.

Ben Dai, Mei Su, Guangfu Ning, Hui Wang, Kaiqiang An

IEEE Trans. Ind. Electron., August, 2023

Supervised Knowledge May Hurt Novel Class Discovery Performance.

Ziyun Li, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang

Trans. Mach. Learn. Res., 2023

Pulse Frequency Modulated Interleaved Boost-Integrated LC Series Resonant Converter With Frequency-Free Designed Transformer.

Hui Wang, Kaiqiang An, Guangfu Ning, Yonglu Liu, Ben Dai, Jingtao Xu, Mei Su

IEEE Trans. Ind. Electron., 2023

RankSEG: A Consistent Ranking-based Framework for Segmentation.

Ben Dai, Chunlin Li

J. Mach. Learn. Res., 2023

ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence.

Ben Dai, Yixuan Qiu

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

2022

Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation.

Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan

CoRR, 2022

A Closer Look at Novel Class Discovery from the Labeled Set.

Ziyun Li, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang

CoRR, 2022

2021

Two-level monotonic multistage recommender systems.

Ben Dai, Xiaotong Shen, Wei Pan

CoRR, 2021

Significance tests of feature relevance for a blackbox learner.

Ben Dai, Xiaotong Shen, Wei Pan

CoRR, 2021

2019

Smooth neighborhood recommender systems.

Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu

J. Mach. Learn. Res., 2019

2017

Blizzard Entertainment presents: the making of the "Overwatch Animated Shorts".

Jeff Chamberlain, Ben Dai, Kevin Vander Jagt, Ben Deda, Hunter Grant, Mike Hardison, David Stephens

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017