PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. - Yizhen Yuan; Rui Kong; Shenghao Xie; Yuanchun Li; Yunxin Liu 001 (ACM Multimedia, 2023)

MoWE: Mixture of Weather Experts for Multiple Adverse Weather Removal. - Yulin Luo; Rui Zhao 010; Xiaobao Wei; Jinwei Chen; Yijie Lu; Shenghao Xie; Tianyu Wang; Ruiqin Xiong; Ming Lu; Shanghang Zhang (CoRR, 2023)

In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick. - Yeqi Gao; Zhao Song 002; Shenghao Xie (CoRR, 2023)

Convergence of Two-Layer Regression with Nonlinear Units. - Yichuan Deng 002; Zhao Song 002; Shenghao Xie (CoRR, 2023)

Unmasking Transformers: A Theoretical Approach to Data Recovery via Attention Weights. - Yichuan Deng 002; Zhao Song 002; Shenghao Xie; Chiwun Yang (CoRR, 2023)

FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection. - Dongmei Zhang; Chang Li; Ray Zhang 002; Shenghao Xie; Wei Xue 002; Xiaodong Xie; Shanghang Zhang (CoRR, 2023)

The application of blockchain technology in the recycling chain: a state-of-the-art literature review and conceptual framework. - Shenghao Xie; Yu (jack) Gong; Martin H. Kunc; Zongguo Wen; Steve Brown (Int. J. Prod. Res., 2023)

FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection. - Dongmei Zhang; Chang Li; Renrui Zhang; Shenghao Xie; Wei Xue 002; Xiaodong Xie; Shanghang Zhang (AAAI, 2024)

Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images. - Wenqiang Zu; Shenghao Xie; Qing Zhao; Guoqi Li; Lei Ma (CoRR, 2024)

Towards Unifying Understanding and Generation in the Era of Vision Foundation Models: A Survey from the Autoregression Perspective. - Shenghao Xie; Wenqiang Zu; Mingyang Zhao 001; Duo Su; Shilong Liu; Ruohua Shi; Guoqi Li; Shanghang Zhang; Lei Ma 008 (CoRR, 2024)

Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images. - Wenqiang Zu; Shenghao Xie; Qing Zhao; Guoqi Li; Lei Ma 008 (Medical Image Anal., 2024)

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook. - Chengqian Ma; Zheng Shi 005; Zhiqiang Lu; Shenghao Xie; Fei Chao; Yao Sui (CoRR, 2025)

Keeping Representation Similarity in Finetuning for Medical Image Analysis. - Wenqiang Zu; Shenghao Xie; Hao Chen; Yiming Liang; Lei Ma 008 (CoRR, 2025)

Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation. - Wenqiang Zu; Shenghao Xie; Hao Chen; Lei Ma 008 (CoRR, 2025)

Perfect Sampling in Turnstile Streams Beyond Small Moments. - David P. Woodruff; Shenghao Xie; Samson Zhou (Proc. ACM Manag. Data, 2025)

ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding. - Junliang Ye; Zhengyi Wang; Ruowen Zhao; Shenghao Xie; Jun Zhu (CoRR, 2025)