Yingjie Wang

Orcid: 0000-0002-1054-4197

Affiliations:

Nanyang Technological University, Singapore
China University of Petroleum (East China), College of Control Science and Engineering, Qingdao, China (former)
Huazhong Agricultural University, China (former, PhD)

According to our database¹, Yingjie Wang authored at least 23 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Article

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Bibliography

2025

Generalization Bounds of Deep Neural Networks With τ-Mixing Samples.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning.

[BibT_eX]

[DOI]

CoRR, March, 2025

Sparse Additive Machine With the Correntropy-Induced Loss.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2025

A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops.

[BibT_eX]

[DOI]

CoRR, February, 2025

HRP: High-Rank Preheating for Superior LoRA Initialization.

[BibT_eX]

[DOI]

CoRR, February, 2025

IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search.

[BibT_eX]

[DOI]

CoRR, 2024

On Championing Foundation Models: From Explainability to Interpretability.

[BibT_eX]

[DOI]

CoRR, 2024

Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Towards Theoretical Understandings of Self-Consuming Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Robust variable structure discovery based on tilted empirical risk minimization.

[BibT_eX]

[DOI]

Appl. Intell., July, 2023

A Stable Vision Transformer for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Tilted Sparse Additive Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Distribution-dependent feature selection for deep neural networks.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Huber Additive Models for Non-stationary Time Series Analysis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Error-Based Knockoffs Inference for Controlled Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Sparse Modal Additive Model.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse additive machine with pinball loss.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Distributed Ranking with Communications: Approximation Analysis and Applications.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Regularized modal regression with data-dependent hypothesis spaces.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2019

Robust Variable Selection and Estimation Based on Kernel Modal Regression.

[BibT_eX]

[DOI]

Entropy, 2019

Yingjie Wang

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