Ben Dai

22 papers A* 2B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
EnfoPath: Energy-Informed Analysis of Generative Trajectories in Flow Matching.
CoRR
Ziyun Li, Ben Dai, Huancheng Hu, Henrik Boström, Soon Hoe Lim
2025 A* conf
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification.
ICML
Ben Dai
2025 J jnl
Noncirculating current series resonant converter with pulse frequency modulation.
Int. J. Circuit Theory Appl.
Guangfu Ning, Litao Du, Ben Dai, Mei Su, Wenjing Xiong, Jingtao Xu, Guo Xu
2025 J jnl
RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation.
CoRR
Zixun Wang, Ben Dai
2024 J jnl
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification.
CoRR
Ben Dai
2024 J jnl
ImbaGCD: Imbalanced Generalized Category Discovery.
CoRR
Ziyun Li, Ben Dai, Furkan Simsek, Christoph Meinel, Haojin Yang
2024 — conf
Inference of nonlinear causal effects with application to TWAS with GWAS summary data.
CLeaR
Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen
2024 B conf
Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery.
IJCNN
Ziyun Li, Ben Dai, Christoph Meinel, Haojin Yang
2024 J jnl
Significance Tests of Feature Relevance for a Black-Box Learner.
IEEE Trans. Neural Networks Learn. Syst.
Ben Dai, Xiaotong Shen, Wei Pan
2023 J jnl
Interleaved Boost-Integrated LC Series Resonant Converter With Frequency-Free Designed Transformer for Wide Voltage Range Applications.
IEEE Trans. Ind. Electron.
Ben Dai, Mei Su, Guangfu Ning, Hui Wang, Kaiqiang An
2023 J jnl
Pulse Frequency Modulated Interleaved Boost-Integrated LC Series Resonant Converter With Frequency-Free Designed Transformer.
IEEE Trans. Ind. Electron.
Hui Wang, Kaiqiang An, Guangfu Ning, Yonglu Liu, Ben Dai, Jingtao Xu, Mei Su
2023 J jnl
RankSEG: A Consistent Ranking-based Framework for Segmentation.
J. Mach. Learn. Res.
Ben Dai, Chunlin Li
2023 A* conf
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence.
NeurIPS
Ben Dai, Yixuan Qiu
2023 J jnl
Supervised Knowledge May Hurt Novel Class Discovery Performance.
CoRR
Ziyun Li, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang
2023 J jnl
Supervised Knowledge May Hurt Novel Class Discovery Performance.
Trans. Mach. Learn. Res.
Ziyun Li, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang
2022 J jnl
A Closer Look at Novel Class Discovery from the Labeled Set.
CoRR
Ziyun Li, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang
2022 J jnl
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation.
CoRR
Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan
2022 J jnl
RankSEG: A Consistent Ranking-based Framework for Segmentation.
CoRR
Ben Dai, Chunlin Li
2021 J jnl
Significance tests of feature relevance for a blackbox learner.
CoRR
Ben Dai, Xiaotong Shen, Wei Pan
2021 J jnl
Two-level monotonic multistage recommender systems.
CoRR
Ben Dai, Xiaotong Shen, Wei Pan
2019 J jnl
Smooth neighborhood recommender systems.
J. Mach. Learn. Res.
Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu
2017 — conf
Blizzard Entertainment presents: the making of the "Overwatch Animated Shorts".
SIGGRAPH Production Sessions
Jeff Chamberlain, Ben Dai, Kevin Vander Jagt, Ben Deda, Hunter Grant, Mike Hardison, David Stephens