Robust Variable Selection and Estimation Based on Kernel Modal Regression. - Changying Guo; Biqin Song; Yingjie Wang 007; Hong Chen 004; Huijuan Xiong (Entropy, 2019)

Regularized modal regression with data-dependent hypothesis spaces. - Yingjie Wang 007; Hong Chen 004; Biqin Song; Han Li (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery. - Yingjie Wang 007; Hong Chen 004; Feng Zheng; Chen Xu 007; Tieliang Gong; Yanhong Chen (NeurIPS, 2020)

Distributed Ranking with Communications: Approximation Analysis and Applications. - Hong Chen 004; Yingjie Wang 007; Yulong Wang 002; Feng Zheng (AAAI, 2021)

Sparse additive machine with pinball loss. - Yingjie Wang 007; Xin Tang; Hong Chen 004; Tianjiao Yuan; Yanhong Chen; Han Li (Neurocomputing, 2021)

Sparse Modal Additive Model. - Hong Chen 004; Yingjie Wang 007; Feng Zheng; Cheng Deng; Heng Huang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Error-Based Knockoffs Inference for Controlled Feature Selection. - Xuebin Zhao; Hong Chen 004; Yingjie Wang 007; Weifu Li; Tieliang Gong; Yulong Wang 002; Feng Zheng (AAAI, 2022)

Huber Additive Models for Non-stationary Time Series Analysis. - Yingjie Wang 007; Xianrui Zhong; Fengxiang He; Hong Chen 004; Dacheng Tao (ICLR, 2022)

Distribution-dependent feature selection for deep neural networks. - Xuebin Zhao; Weifu Li; Hong Chen 004; Yingjie Wang 007; Yanhong Chen; Vijay John (Appl. Intell., 2022)

Tilted Sparse Additive Models. - Yingjie Wang 007; Hong Chen 004; Weifeng Liu 001; Fengxiang He; Tieliang Gong; Youcheng Fu; Dacheng Tao (ICML, 2023)

A Stable Vision Transformer for Out-of-Distribution Generalization. - Haoran Yu 005; Baodi Liu; Yingjie Wang 007; Kai Zhang 029; Dapeng Tao; Weifeng Liu 001 (PRCV (8), 2023)

Robust variable structure discovery based on tilted empirical risk minimization. - Xuelin Zhang; Yingjie Wang 007; Liangxuan Zhu; Hong Chen 004; Han Li; Lingjuan Wu (Appl. Intell., 2023)

Towards Theoretical Understandings of Self-Consuming Generative Models. - Shi Fu; Sen Zhang 006; Yingjie Wang 007; Xinmei Tian 001; Dacheng Tao (ICML, 2024)

Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification. - Tianhao Yuan; Weifeng Liu 001; Yingjie Wang 007; Baodi Liu (PRCV (13), 2024)

On Championing Foundation Models: From Explainability to Interpretability. - Shi Fu; Yuzhu Chen; Yingjie Wang 007; Dacheng Tao (CoRR, 2024)

Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search. - Huanjin Yao; Jiaxing Huang 001; Wenhao Wu; Jingyi Zhang 005; Yibo Wang; Shunyu Liu 001; Yingjie Wang 007; Yuxin Song; Haocheng Feng; Li Shen 008; Dacheng Tao (CoRR, 2024)

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent. - Jun Chen; Hong Chen 004; Bin Gu 001; Guodong Liu; Yingjie Wang 007; Weifu Li (AAAI, 2025)

IW-ViT: Independence-Driven Weighting Vision Transformer for out-of-distribution generalization. - Weifeng Liu 001; Haoran Yu 005; YingJie Wang 007; Baodi Liu; Dapeng Tao; Honglong Chen (Pattern Recognit., 2025)

HRP: High-Rank Preheating for Superior LoRA Initialization. - Yuzhu Chen; Yingjie Wang 007; Shi Fu; Li Shen 008; Yongcheng Jing; Xinmei Tian 001; Dacheng Tao (CoRR, 2025)

A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops. - Shi Fu; Yingjie Wang 007; Yuzhu Chen; Xinmei Tian 001; Dacheng Tao (CoRR, 2025)

Sparse Additive Machine With the Correntropy-Induced Loss. - Peipei Yuan; Xinge You; Hong Chen 004; Yingjie Wang 007; Qinmu Peng; Bin Zou 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning. - Wenjie Wu; Yongcheng Jing; Yingjie Wang 007; Wenbin Hu 001; Dacheng Tao (CoRR, 2025)

Generalization Bounds of Deep Neural Networks With τ-Mixing Samples. - Liyuan Liu; Yaohui Chen 002; Weifu Li; Yingjie Wang 007; Bin Gu 001; Feng Zheng; Hong Chen 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)