Wang, Shaowei

11 publications

ICML 2025 Contextual Bandits for Unbounded Context Distributions Puning Zhao, Rongfei Fan, Shaowei Wang, Li Shen, Qixin Zhang, Zong Ke, Tianhang Zheng

AAAI 2025 Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness Zichong Wang, Zhibo Chu, Thang Viet Doan, Shaowei Wang, Yongkai Wu, Vasile Palade, Wenbin Zhang

NeurIPS 2025 Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation Yuxuan Zhang, Zhenbo Shi, Han Ye, Shuchang Wang, Zhidong Yu, Shaowei Wang, Wei Yang

UAI 2025 Nearly Optimal Differentially Private ReLU Regression Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu

AAAI 2025 RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack Yuxuan Zhang, Zhenbo Shi, Shuchang Wang, Wei Yang, Shaowei Wang, Yinxing Xue

CVPR 2024 CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering Shaowei Wang, Lingling Zhang, Longji Zhu, Tao Qin, Kim-Hui Yap, Xinyu Zhang, Jun Liu

CVPR 2024 E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-up Generator Wenjun Wu, Lingling Zhang, Jun Liu, Xi Tang, Yaxian Wang, Shaowei Wang, Qianying Wang

IJCAI 2024 GenSeg: On Generating Unified Adversary for Segmentation Yuxuan Zhang, Zhenbo Shi, Wei Yang, Shuchang Wang, Shaowei Wang, Yinxing Xue

NeurIPS 2024 Revisiting Differentially Private ReLU Regression Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu

IJCAI 2023 FGNet: Towards Filling the Intra-Class and Inter-Class Gaps for Few-Shot Segmentation Yuxuan Zhang, Wei Yang, Shaowei Wang

IJCAI 2021 Hiding Numerical Vectors in Local Private and Shuffled Messages Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang