| 2025 | AAAI | EchoDiffusion: Waveform Conditioned Diffusion Models for Echo-Based Depth Estimation. | Wenjie Zhang, Jun Yin, Long Ma, Peng Yu, Xiaoheng Jiang, Zhen Tian, Mingliang Xu |
| 2025 | CVPR | Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection. | Feng Yan, Xiaoheng Jiang, Yang Lu, Jiale Cao, Dong Chen, Mingliang Xu |
| 2025 | ICCV | CLIPeR: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation. | Lin Sun, Jiale Cao, Jin Xie, Xiaoheng Jiang, Yanwei Pang |
| 2024 | CGI | End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis. | Junaid Abdul Wahid, Muhammad Ayoub, Mingliang Xu, Xiaoheng Jiang, Lei Shi, Lifeng Li, Shabir Hussain, Ashfaque Khawaja, Yufei Gao |
| 2024 | CVPR | ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. | Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang |
| 2024 | ICPR | Context Mutual Evolution Network for Weakly Supervised Surface Defect Detection. | Xiaoheng Jiang, Penghui Xiao, Feng Yan, Yang Lu, Shaohui Jin, Mingliang Xu |
| 2024 | PRICAI | Sparse Context Transformer for Few-Shot Object Detection. | Mingyuan Jiu, Jie Mei, Hichem Sahbi, Xiaoheng Jiang, Mingliang Xu |
| 2023 | WCNC | Client Selection and Resource Allocation for Federated Learning in Digital-Twin-Enabled Industrial Internet of Things. | Shuo He, Tianxiang Ren, Xiaoheng Jiang, Mingliang Xu |
| 2022 | ACCV | Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition. | Zhimin Gao, Peitao Wang, Pei Lv, Xiaoheng Jiang, Qidong Liu, Pichao Wang, Mingliang Xu, Wanqing Li |
| 2020 | CVPR | Attention Scaling for Crowd Counting. | Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang |