Wang, Yingjie

16 publications

ICLR 2025 A Statistical Approach for Controlled Training Data Detection Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao

ICLR 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-Consuming Training Loops Shi Fu, Yingjie Wang, Yuzhu Chen, Xinmei Tian, Dacheng Tao

NeurIPS 2025 Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Kongcheng Zhang, Qi Yao, Shunyu Liu, Yingjie Wang, Baisheng Lai, Jieping Ye, Mingli Song, Dacheng Tao

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

NeurIPS 2025 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

ICML 2025 Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao

NeurIPS 2025 Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training Shi Fu, Yingjie Wang, Yuzhu Chen, Li Shen, Dacheng Tao

IJCAI 2024 Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation Lianyong Qi, Yuwen Liu, Weiming Liu, Shichao Pei, Xiaolong Xu, Xuyun Zhang, Yingjie Wang, Wanchun Dou

ICML 2024 Towards Theoretical Understandings of Self-Consuming Generative Models Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao

CVPR 2023 Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection Yingjie Wang, Jiajun Deng, Yao Li, Jinshui Hu, Cong Liu, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang

NeurIPS 2023 CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection Yingjie Wang, Jiajun Deng, Yuenan Hou, Yao Li, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang

ICML 2023 Tilted Sparse Additive Models Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao

AAAI 2022 Error-Based Knockoffs Inference for Controlled Feature Selection Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng

ICLR 2022 Huber Additive Models for Non-Stationary Time Series Analysis Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao

AAAI 2021 Distributed Ranking with Communications: Approximation Analysis and Applications Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng

NeurIPS 2020 Multi-Task Additive Models for Robust Estimation and Automatic Structure Discovery Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen