First Experimental Demonstration of Self-Aligned Flip FET (FFET): A Breakthrough Stacked Transistor Technology with 2.5T Design, Dual-Side Active and Interconnects.

[BibT_eX]

[DOI]

Haoran Lu

Yandong Ge

Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024

Elucidating the design space of classifier-guided diffusion generation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Training Energy-Based Models with Diffusion Contrastive Divergences.

[BibT_eX]

[DOI]

CoRR, 2023

On the Generalization of Diffusion Model.

[BibT_eX]

[DOI]

Mingyang Yi

Jiacheng Sun

Zhenguo Li

CoRR, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

[BibT_eX]

[DOI]

CoRR, 2023

Data-free Knowledge Distillation for Reusing Recommendation Models.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Gradient Matching for Categorical Data Distillation in CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

[BibT_eX]

[DOI]

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

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.

[BibT_eX]

[DOI]

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

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.

[BibT_eX]

[DOI]

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

Complexity Matters: Rethinking the Latent Space for Generative Modeling.

[BibT_eX]

[DOI]

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

Breaking Correlation Shift via Conditional Invariant Regularizer.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Intelligent Action Decision Algorithm for Exoskeleton in Edge Networks Environment based on Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

2022

RE-Det3D: RoI-enhanced 3D object detector.

[BibT_eX]

[DOI]

Image Vis. Comput., 2022

LEDet: localization estimation detector with data augmentation for ship detection based on unmanned surface vehicle.

[BibT_eX]

[DOI]

Int. J. Intell. Robotics Appl., 2022

Why Are Conditional Generative Models Better Than Unconditional Ones?

[BibT_eX]

[DOI]

CoRR, 2022

Improved OOD Generalization via Conditional Invariant Regularizer.

[BibT_eX]

[DOI]

CoRR, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Rethinking Adversarial Transferability from a Data Distribution Perspective.

[BibT_eX]

[DOI]

Yao Zhu

Jiacheng Sun

Zhenguo Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Nonlinear ICA Using Volume-Preserving Transformations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

[BibT_eX]

[DOI]

CoRR, 2021

Improved OOD Generalization via Adversarial Training and Pre-training.

[BibT_eX]

[DOI]

CoRR, 2021

Improved OOD Generalization via Adversarial Training and Pretraing.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Research on SIDO Converter and Its Power Decoupling Control Strategy.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Batch Group Normalization.

[BibT_eX]

[DOI]

CoRR, 2020

Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Coulomb Autoencoders.

[BibT_eX]

[DOI]

Emanuele Sansone

Hafiz Tiomoko Ali

Jiacheng Sun

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

New Interpretations of Normalization Methods in Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DARTS+: Improved Differentiable Architecture Search with Early Stopping.