Yingjie Wang

According to our database, Yingjie Wang authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

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

Weifeng Liu, Haoran Yu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen

Pattern Recognit., 2025

2024

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

Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, Yuxin Song, Haocheng Feng, Li Shen, Dacheng Tao

CoRR, 2024

On Championing Foundation Models: From Explainability to Interpretability.

Shi Fu, Yuzhu Chen, Yingjie Wang, Dacheng Tao

CoRR, 2024

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

Tianhao Yuan, Weifeng Liu, Yingjie Wang, Baodi Liu

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

Towards Theoretical Understandings of Self-Consuming Generative Models.

Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao

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

2023

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

Haoran Yu, Baodi Liu, Yingjie Wang, Kai Zhang, Dapeng Tao, Weifeng Liu

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

Tilted Sparse Additive Models.

Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao

Proceedings of the International Conference on Machine Learning, 2023

2022

Distribution-dependent feature selection for deep neural networks.

Xuebin Zhao, Weifu Li, Hong Chen, Yingjie Wang, Yanhong Chen, Vijay John

Appl. Intell., 2022

Huber Additive Models for Non-stationary Time Series Analysis.

Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao

Proceedings of the Tenth International Conference on Learning Representations, 2022

Error-Based Knockoffs Inference for Controlled Feature Selection.

Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng

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

2021

Sparse Modal Additive Model.

Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang

IEEE Trans. Neural Networks Learn. Syst., 2021

Sparse additive machine with pinball loss.

Yingjie Wang, Xin Tang, Hong Chen, Tianjiao Yuan, Yanhong Chen, Han Li

Neurocomputing, 2021

Distributed Ranking with Communications: Approximation Analysis and Applications.

Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng

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

2020

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

Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen

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.

Yingjie Wang, Hong Chen, Biqin Song, Han Li

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

Robust Variable Selection and Estimation Based on Kernel Modal Regression.

Changying Guo, Biqin Song, Yingjie Wang, Hong Chen, Huijuan Xiong

Entropy, 2019