Learning Non-target Knowledge for Few-shot Semantic Segmentation. - Yuanwei Liu; Nian Liu; Qinglong Cao; Xiwen Yao; Junwei Han 001; Ling Shao 001 (CVPR, 2022)

Progressively Dual Prior Guided Few-shot Semantic Segmentation. - Qinglong Cao; Yuntian Chen; Xiwen Yao; Junwei Han 001 (CoRR, 2022)

Scale-Aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation. - Xiwen Yao; Qinglong Cao; Xiaoxu Feng; Gong Cheng 003; Junwei Han 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Reflection Invariance Learning for Few-shot Semantic Segmentation. - Qinglong Cao; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (CoRR, 2023)

Domain-Controlled Prompt Learning. - Qinglong Cao; Zhengqin Xu; Yuantian Chen; Chao Ma 004; Xiaokang Yang 001 (CoRR, 2023)

MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-Experts. - Jiaxin Gao; Qinglong Cao; Yuntian Chen (CoRR, 2023)

CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting. - Jiaxin Gao; Yuxiao Hu 003; Qinglong Cao; Siqi Dai; Yuntian Chen (CoRR, 2023)

Domain Prompt Learning with Quaternion Networks. - Qinglong Cao; Zhengqin Xu; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (CoRR, 2023)

Learning to Assess Image Quality Like an Observer. - Xiwen Yao; Qinglong Cao; Xiaoxu Feng; Gong Cheng 003; Junwei Han 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Domain-Controlled Prompt Learning. - Qinglong Cao; Zhengqin Xu; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (AAAI, 2024)

Domain Prompt Learning with Quaternion Networks. - Qinglong Cao; Zhengqin Xu; Yuntian Chen; M. Chao; Xiaokang Yang 001 (CVPR, 2024)

Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution. - Qinglong Cao; Zhengqin Xu; Chao Ma 004; Xiaokang Yang 001; Yuntian Chen (CoRR, 2024)

Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research. - Qinglong Cao; Yuntian Chen; Lu Lu; Hao Sun; Zhenzhong Zeng; Xiaokang Yang 001; Dongxiao Zhang (CoRR, 2024)

Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecasting. - Jiaxin Gao; Qinglong Cao; Yuntian Chen; Dongxiao Zhang (CoRR, 2024)

Open-Vocabulary Remote Sensing Image Semantic Segmentation. - Qinglong Cao; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (CoRR, 2024)

Teaching Video Diffusion Model with Latent Physical Phenomenon Knowledge. - Qinglong Cao; Ding Wang; Xirui Li; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (CoRR, 2024)

Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation. - Qinglong Cao; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Break the Bias: Delving Semantic Transform Invariance for Few-Shot Segmentation. - Qinglong Cao; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Auto-Regressive Moving Diffusion Models for Time Series Forecasting. - Jiaxin Gao; Qinglong Cao; Yuntian Chen (AAAI, 2025)

Open-Vocabulary High-Resolution Remote Sensing Image Semantic Segmentation. - Qinglong Cao; Yuntian Chen; Chao Ma 004; Xiaokang Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

HSFormer: Multiscale Hybrid Sparse Transformer for Uncertainty-Aware Cloud and Shadow Removal. - Changqi Sun; Yuntian Chen; Qinglong Cao; Longfeng Nie; Zhenzhong Zeng; Dongxiao Zhang (IEEE Trans. Geosci. Remote. Sens., 2025)