Yuanchen Wu

30 papers A* 8Journal 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Disentangling co-occurrence with class-specific banks for Weakly Supervised Semantic Segmentation.
Image Vis. Comput.
Hang Yao, Yuanchen Wu, Kequan Yang, Jide Li, Chao Yin, Zihang Li, Xiaoqiang Li
2026 J jnl
MFDP: Multi-View Feature Integration and Enhanced Disease Prompting for Radiology Report Generation.
IEEE J. Biomed. Health Informatics
Yongxu Zhao, Kequan Yang, Yuanchen Wu, Xiaoqiang Li
2026 J jnl
Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models.
CoRR
Enguang Wang, Qiang Wang, Yuanchen Wu, Ke Yan, Xinbin Yuan, Shouhong Ding, Xialei Liu, Ming-Ming Cheng
2026 J jnl
Unveiling the complementary synergy of CLIP and diffusion models for weakly supervised semantic segmentation.
Expert Syst. Appl.
Hang Yao, Yuanchen Wu, Jide Li, Kequan Yang, Jingxin Han, Xiaoqiang Li
2025 J jnl
AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models.
CoRR
Ziyin Zhou, Yunpeng Luo, Yuanchen Wu, Ke Sun, Jiayi Ji, Ke Yan, Shouhong Ding, Xiaoshuai Sun, Yunsheng Wu, Rongrong Ji
2025 A* conf
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception.
CVPR
Yuanchen Wu, Lu Zhang, Hang Yao, Junlong Du, Ke Yan, Shouhong Ding, Yunsheng Wu, Xiaoqiang Li
2025 J jnl
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception.
CoRR
Yuanchen Wu, Lu Zhang, Hang Yao, Junlong Du, Ke Yan, Shouhong Ding, Yunsheng Wu, Xiaoqiang Li
2025 J jnl
Estimating Heterogeneous Causal Effect on Networks via Orthogonal Learning.
CoRR
Yuanchen Wu, Yubai Yuan
2025 J jnl
LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization.
CoRR
Yuanchen Wu, Saurabh Verma, Justin Lee, Fangzhou Xiong, Poppy Zhang, Amel Awadelkarim, Xu Chen, Yubai Yuan, Shawndra Hill
2025 J jnl
MBS: A High-Precision Approximation Method for Softmax and Efficient Hardware Implementation.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yuanchen Wu, Zhiheng Xie, Hongbing Pan, Yuxuan Wang
2025 J jnl
Mutual learning with discrepancy for weakly supervised object detection.
Expert Syst. Appl.
Kequan Yang, Xichen Ye, Yuanchen Wu, Jide Li, Xiaoqiang Li, Pinpin Zhu
2025 J jnl
PrioMatch: Semi-supervised learning guided by prior knowledge.
Neurocomputing
Jiaquan Wang, Yuqing Zou, Yuanchen Wu, Xiaoqiang Li
2025 J jnl
ProxyMatting: Transformer-based image matting via region proxy.
Knowl. Based Syst.
Jide Li, Kequan Yang, Yuanchen Wu, Xichen Ye, Hanqi Yang, Xiaoqiang Li
2025 J jnl
Pseudo-label enhancement for weakly supervised object detection using self-supervised vision transformer.
Knowl. Based Syst.
Kequan Yang, Yuanchen Wu, Jide Li, Chao Yin, Xiaoqiang Li
2025 A* conf
See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs.
ACM Multimedia
Ziyun Dai, Xiaoqiang Li, Shaohua Zhang, Yuanchen Wu, Jide Li
2025 J jnl
See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs.
CoRR
Ziyun Dai, Xiaoqiang Li, Shaohua Zhang, Yuanchen Wu, Jide Li
2025 A* conf
ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts.
ICLR
Yuanchen Wu, Junlong Du, Ke Yan, Shouhong Ding, Xiaoqiang Li
2025 J jnl
ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts.
CoRR
Yuanchen Wu, Junlong Du, Ke Yan, Shouhong Ding, Xiaoqiang Li
2025 A* conf
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration.
ICML
Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li
2025 J jnl
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration.
CoRR
Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li
2024 J jnl
Cycle-Consistent Adversarial chest X-rays Domain Adaptation for pneumonia diagnosis.
Neurocomputing
Yue Zhou, Xiaoqiang Li, Yuanchen Wu
2024 A* conf
DINO is Also a Semantic Guider: Exploiting Class-aware Affinity for Weakly Supervised Semantic Segmentation.
ACM Multimedia
Yuanchen Wu, Xiaoqiang Li, Jide Li, Kequan Yang, Pinpin Zhu, Shaohua Zhang
2024 A* conf
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation.
CVPR
Yuanchen Wu, Xichen Ye, Kequan Yang, Jide Li, Xiaoqiang Li
2024 J jnl
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation.
CoRR
Yuanchen Wu, Xichen Ye, Kequan Yang, Jide Li, Xiaoqiang Li
2024 A* conf
Robust Offline Active Learning on Graphs.
NeurIPS
Yuanchen Wu, Yubai Yuan
2024 J jnl
Robust Offline Active Learning on Graphs.
CoRR
Yuanchen Wu, Yubai Yuan
2024 J jnl
Uncertainty-aware representation calibration for semi-supervised medical imaging segmentation.
Neurocomputing
Yuanchen Wu, Xiaoqiang Li, Yue Zhou
2023 A* conf
Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation.
IJCAI
Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie
2023 J jnl
Semi-supervised medical imaging segmentation with soft pseudo-label fusion.
Appl. Intell.
Xiaoqiang Li, Yuanchen Wu, Songmin Dai
2022 J jnl
An Attention-Based 3D CNN With Multi-Scale Integration Block for Alzheimer's Disease Classification.
IEEE J. Biomed. Health Informatics
Yuanchen Wu, Yuan Zhou, Weiming Zeng, Qian Qian, Miao Song