Shi, Xiaoshuang

19 publications

ICML 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu

IJCAI 2025 Meta Label Correction with Generalization Regularizer Tao Tong, Yujie Mo, Yucheng Xie, Songyue Cai, Xiaoshuang Shi, Xiaofeng Zhu

ICCV 2025 TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

CVPR 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

ICLR 2024 An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization Fei Kong, Jinhao Duan, RuiPeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu

IJCAI 2024 Exploring the Role of Node Diversity in Directed Graph Representation Learning Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu

ICML 2024 On Which Nodes Does GCN Fail? Enhancing GCN from the Node Perspective Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu

ICML 2023 Are Diffusion Models Vulnerable to Membership Inference Attacks? Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu

ICML 2023 Disentangled Multiplex Graph Representation Learning Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

ICMLW 2023 Exposing the Fake: Effective Diffusion-Generated Images Detection RuiPeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu

IJCAI 2023 Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu

AAAI 2023 Multiplex Graph Representation Learning via Common and Private Information Mining Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

NeurIPS 2023 Self-Weighted Contrastive Learning Among Multiple Views for Mitigating Representation Degeneration Jie Xu, Shuo Chen, Yazhou Ren, Xiaoshuang Shi, Hengtao Shen, Gang Niu, Xiaofeng Zhu

AAAI 2022 Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

AAAI 2022 Simple Unsupervised Graph Representation Learning Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

AAAI 2020 Loss-Based Attention for Deep Multiple Instance Learning Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang

AAAI 2017 Asymmetric Discrete Graph Hashing Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang

ECCV 2016 Kernel-Based Supervised Discrete Hashing for Image Retrieval Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang

CVPR 2016 SemiContour: A Semi-Supervised Learning Approach for Contour Detection Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang