A New Backbone for Hyperspectral Image Reconstruction. - Jiamian Wang; Yulun Zhang 001; Xin Yuan 002; Yun Fu 001; Zhiqiang Tao (CoRR, 2021)

Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. - Jiamian Wang; Yulun Zhang 001; Xin Yuan 002; Ziyi Meng; Zhiqiang Tao (CoRR, 2021)

Outlier exposure with confidence control for out-of-distribution detection. - Aristotelis-Angelos Papadopoulos; Mohammad Reza Rajati; Nazim Shaikh; Jiamian Wang (Neurocomputing, 2021)

Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. - Xueying Yang; Jiamian Wang; Xujiang Zhao; Sheng Li 001; Zhiqiang Tao (CIKM, 2022)

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. - Jiamian Wang; Yulun Zhang 001; Xin Yuan 002; Ziyi Meng; Zhiqiang Tao (ECCV (19), 2022)

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. - Jiamian Wang; Kunpeng Li; Yulun Zhang 001; Xin Yuan 002; Zhiqiang Tao (CoRR, 2022)

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. - Jiamian Wang; Huan Wang 014; Yulun Zhang 001; Yun Fu 001; Zhiqiang Tao (ICCV, 2023)

Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. - Jiamian Wang; Pichao Wang; Guohao Sun; Dongfang Liu; Sohail A. Dianat; Raghuveer Rao; Majid Rabbani; Zhiqiang Tao (CVPR, 2024)

SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant. - Guohao Sun; Can Qin; Jiamian Wang; Zeyuan Chen 001; Ran Xu 001; Zhiqiang Tao (ECCV (9), 2024)

Diffusion-Inspired Truncated Sampler for Text-Video Retrieval. - Jiamian Wang; Pichao Wang; Dongfang Liu; Qiang Guan; Sohail A. Dianat; Majid Rabbani; Raghuveer Rao; Zhiqiang Tao (NeurIPS, 2024)

Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging. - Jiamian Wang; Zongliang Wu; Yulun Zhang 001; Xin Yuan 002; Tao Lin; Zhiqiang Tao (NeurIPS, 2024)

$S^{2}$S2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. - Jiamian Wang; Kunpeng Li; Yulun Zhang 001; Xin Yuan 002; Zhiqiang Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)