| 2026 | DASFAA | Fewer False Positives for Sparse Anomalies in Long Time-Series: Cross-Window Contrast and Cross-Level Discriminative Reconstruction. | Jionghuan Chen, Qixue He, Yong Zhong, Xiaolin Qin, Lishun Wang |
| 2025 | CVPR | Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging. | Ping Wang, Lishun Wang, Gang Qu, Xiaodong Wang, Yulun Zhang, Xin Yuan |
| 2025 | WACV | Self-supervised Learning with Spectral Low-Rank Prior for Hyperspectral Image Reconstruction. | Zijun He, Lishun Wang, Ziyi Meng, Xin Yuan |
| 2024 | ECCV | A Simple Low-Bit Quantization Framework for Video Snapshot Compressive Imaging. | Miao Cao, Lishun Wang, Huan Wang, Xin Yuan |
| 2024 | ECCV | Hierarchical Separable Video Transformer for Snapshot Compressive Imaging. | Ping Wang, Yulun Zhang, Lishun Wang, Xin Yuan |
| 2024 | ICIP | Coarse-Fine Spectral-Aware Deformable Convolution for Hyperspectral Image Reconstruction. | Jincheng Yang, Lishun Wang, Miao Cao, Huan Wang, Yinping Zhao, Xin Yuan |
| 2023 | CVPR | EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging. | Lishun Wang, Miao Cao, Xin Yuan |
| 2023 | ICCV | Deep Optics for Video Snapshot Compressive Imaging. | Ping Wang, Lishun Wang, Xin Yuan |
| 2023 | ICIP | You Only Need 80k Parameters to Enhance Image: Learning Periodic Features for Image Enhancement. | Jiachen Dang, Yong Zhong, Lishun Wang |
| 2023 | ICONIP | NDGR: A Noise Divide and Guided Re-labeling Framework for Distantly Supervised Relation Extraction. | Zheyu Shi, Ying Mao, Lishun Wang, Hangcheng Li, Yong Zhong, Xiaolin Qin |
| 2023 | PG | WaveNet: Wave-Aware Image Enhancement. | Jiachen Dang, Zehao Li, Yong Zhong, Lishun Wang |