Yingjie Wang - RankMe

26 papers A* 7Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal-guided strength differential independence sample weighting for out-of-distribution generalization. Pattern Recognit. Haoran Yu, Weifeng Liu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen
2025	J	`jnl`	A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops. CoRR Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao
2025	A*	`conf`	Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent. AAAI Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li
2025	J	`jnl`	Generalization Bounds of Deep Neural Networks With τ-Mixing Samples. IEEE Trans. Neural Networks Learn. Syst. Liyuan Liu, Yaohui Chen, Weifu Li, Yingjie Wang, Bin Gu, Feng Zheng, Hong Chen
2025	J	`jnl`	Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning. CoRR Wenjie Wu, Yongcheng Jing, Yingjie Wang, Wenbin Hu, Dacheng Tao
2025	J	`jnl`	HRP: High-Rank Preheating for Superior LoRA Initialization. CoRR Yuzhu Chen, Yingjie Wang, Shi Fu, Li Shen, Yongcheng Jing, Xinmei Tian, Dacheng Tao
2025	J	`jnl`	IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization. Pattern Recognit. Weifeng Liu, Haoran Yu, Yingjie Wang, Baodi Liu, Dapeng Tao, Honglong Chen
2025	J	`jnl`	Sparse Additive Machine With the Correntropy-Induced Loss. IEEE Trans. Neural Networks Learn. Syst. Peipei Yuan, Xinge You, Hong Chen, Yingjie Wang, Qinmu Peng, Bin Zou
2024	—	`conf`	Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification. PRCV (13) Tianhao Yuan, Weifeng Liu, Yingjie Wang, Baodi Liu
2024	J	`jnl`	Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search. CoRR Huanjin Yao, Jiaxing Huang, Wenhao Wu, Jingyi Zhang, Yibo Wang, Shunyu Liu, Yingjie Wang, Yuxin Song, Haocheng Feng, Li Shen, Dacheng Tao
2024	J	`jnl`	On Championing Foundation Models: From Explainability to Interpretability. CoRR Shi Fu, Yuzhu Chen, Yingjie Wang, Dacheng Tao
2024	A*	`conf`	Towards Theoretical Understandings of Self-Consuming Generative Models. ICML Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao
2024	J	`jnl`	Towards Theoretical Understandings of Self-Consuming Generative Models. CoRR Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao
2023	—	`conf`	A Stable Vision Transformer for Out-of-Distribution Generalization. PRCV (8) Haoran Yu, Baodi Liu, Yingjie Wang, Kai Zhang, Dapeng Tao, Weifeng Liu
2023	J	`jnl`	Robust variable structure discovery based on tilted empirical risk minimization. Appl. Intell. Xuelin Zhang, Yingjie Wang, Liangxuan Zhu, Hong Chen, Han Li, Lingjuan Wu
2023	A*	`conf`	Tilted Sparse Additive Models. ICML Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
2022	J	`jnl`	Distribution-dependent feature selection for deep neural networks. Appl. Intell. Xuebin Zhao, Weifu Li, Hong Chen, Yingjie Wang, Yanhong Chen, Vijay John
2022	A*	`conf`	Error-Based Knockoffs Inference for Controlled Feature Selection. AAAI Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022	J	`jnl`	Error-based Knockoffs Inference for Controlled Feature Selection. CoRR Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng
2022	A*	`conf`	Huber Additive Models for Non-stationary Time Series Analysis. ICLR Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao
2021	A*	`conf`	Distributed Ranking with Communications: Approximation Analysis and Applications. AAAI Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng
2021	J	`jnl`	Sparse Modal Additive Model. IEEE Trans. Neural Networks Learn. Syst. Hong Chen, Yingjie Wang, Feng Zheng, Cheng Deng, Heng Huang
2021	J	`jnl`	Sparse additive machine with pinball loss. Neurocomputing Yingjie Wang, Xin Tang, Hong Chen, Tianjiao Yuan, Yanhong Chen, Han Li
2020	A*	`conf`	Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. NeurIPS Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen
2019	J	`jnl`	Regularized modal regression with data-dependent hypothesis spaces. Int. J. Wavelets Multiresolution Inf. Process. Yingjie Wang, Hong Chen, Biqin Song, Han Li
2019	J	`jnl`	Robust Variable Selection and Estimation Based on Kernel Modal Regression. Entropy Changying Guo, Biqin Song, Yingjie Wang, Hong Chen, Huijuan Xiong