Xiaoshuang Shi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
11
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. | Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu |
| 2025 | ACL | SConU: Selective Conformal Uncertainty in Large Language Models. | Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2025 | ICCV | 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 |
| 2025 | ICML | Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks. | Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng Zhu |
| 2025 | IJCAI | Meta Label Correction with Generalization Regularizer. | Tao Tong, Yujie Mo, Yucheng Xie, Songyue Cai, Xiaoshuang Shi, Xiaofeng Zhu |
| 2024 | CVPR | 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 |
| 2024 | EMNLP | ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. | Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu |
| 2024 | ICLR | 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 |
| 2024 | ICML | On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective. | Jincheng Huang, Jialie Shen, Xiaoshuang Shi, Xiaofeng Zhu |
| 2024 | IJCAI | 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 |
| 2023 | AAAI | Multiplex Graph Representation Learning via Common and Private Information Mining. | Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu |
| 2023 | ICML | Are Diffusion Models Vulnerable to Membership Inference Attacks? | Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu |
| 2023 | ICML | Disentangled Multiplex Graph Representation Learning. | Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu |
| 2023 | IJCAI | Improve Video Representation with Temporal Adversarial Augmentation. | Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu |
| 2023 | MICCAI | Co-assistant Networks for Label Correction. | Xuan Chen, Weiheng Fu, Tian Li, Xiaoshuang Shi, Hengtao Shen, Xiaofeng Zhu |
| 2023 | MICCAI | Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. | Hansheng Li, Zhengyang Xu, Mo Zhou, Xiaoshuang Shi, Yuxin Kang, Qirong Bu, Hong Lv, Ming Li, Mingzhen Lin, Lei Cui, Jun Feng, Wentao Yang, Lin Yang |
| 2022 | AAAI | Simple Unsupervised Graph Representation Learning. | Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu |
| 2022 | AAAI | Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. | Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu |
| 2022 | MICCAI | Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. | Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu |
| 2020 | AAAI | Loss-Based Attention for Deep Multiple Instance Learning. | Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Zizhao Zhang, Lei Cui, Lin Yang |
| 2020 | MICCAI | A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets. | Hansheng Li, Xin Han, Yuxin Kang, Xiaoshuang Shi, Mengdi Yan, Zixu Tong, Qirong Bu, Lei Cui, Jun Feng, Lin Yang |
| 2019 | MICCAI | Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification. | Hai Su, Xiaoshuang Shi, Jinzheng Cai, Lin Yang |
| 2018 | MICCAI | Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. | Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang |
| 2017 | AAAI | Asymmetric Discrete Graph Hashing. | Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang |
| 2017 | MICCAI | Cell Encoding for Histopathology Image Classification. | Xiaoshuang Shi, Fuyong Xing, Yuanpu Xie, Hai Su, Lin Yang |
| 2016 | CVPR | SemiContour: A Semi-Supervised Learning Approach for Contour Detection. | Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang |
| 2016 | ECCV | Kernel-Based Supervised Discrete Hashing for Image Retrieval. | Xiaoshuang Shi, Fuyong Xing, Jinzheng Cai, Zizhao Zhang, Yuanpu Xie, Lin Yang |
| 2016 | MICCAI | Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation. | Fuyong Xing, Xiaoshuang Shi, Zizhao Zhang, Jinzheng Cai, Yuanpu Xie, Lin Yang |
| 2015 | ICIP | Within-class penalty based multi-class support vector machine. | Xiaoshuang Shi, Zhenhua Guo, Yujiu Yang, Lin Yang |