I am a tenure-track associate professor, specially appointed researcher, and Ph.D. supervisor at the School of Computer Science, Northwestern Polytechnical University. My research interests include multi-source and multimodal data alignment, fusion, and collaborative interpretation.

In recent years, I have published more than 40 papers in leading journals and conferences, including IEEE TIP, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE TGRS, IEEE TMM, Pattern Recognition, CVPR, NeurIPS, ICML, ICCV, ECCV, AAAI, ACM Multimedia, and IJCAI. Three of my papers have been recognized as ESI Highly Cited Papers. My work has also received the Best Paper Award at the ACM Multimedia HCMA Workshop and the JCRAI Best Paper Award. I have led and participated in more than ten national and provincial-level research projects, including grants from the National Natural Science Foundation of China and the National Key R&D Program of China. I have also mentored students to achieve top awards in major academic competitions.

In 2023, I was selected for the Xi’an Association for Science and Technology Young Talent Support Program. In 2025, I was selected for the Northwestern Polytechnical University Aoxiang Rising Star Talent Program and the Chinese Institute of Electronics Young Talent Support Program.

🔥 News

• 2026.07.10:  🎉🎉 Five papers are accepted by ACM MM.
• 2026.06.02:  🎉🎉 One survey paper is accepted by Acta Automatica Sinica. Congrats to Jiaxin!
• 2026.05.01:  🎉🎉 Two papers are accepted by ICML. Congrats to Donghao and Xueqiang!
• 2026.03.07:  🎉🎉 One paper is accepted by IEEE TIP. Congrats to Zhilong!
• 2026.02.02:  🎉🎉 One paper is accepted by IEEE TMM.
• 2025.12.18:  🎉🎉 One paper is accepted by IEEE TGRS.
• 2025.12.7:  🎉🎉 One paper is accepted by IEEE TPAMI.
• 2025.11.8:  🎉🎉 Four papers are accepted by AAAI 2026.
• 2025.7.5:  🎉🎉 One paper is accepted by ACM MM 2025.
• 2025.6.26:  🎉🎉 One paper is accepted by ICCV 2025.
• 2025.5.1:  🎉🎉 One paper is accepted by ICML 2025. Congrats to Qirui!
• 2025.3.24:  🎉🎉 I enter the tenure track. Many thanks to my team leader, all my collaborators, and all of my students.
• 2025.3.23:  🎉🎉 One paper is accepted by IEEE TIP.
• 2025.2.27:  🎉🎉 Two papers are accepted by CVPR 2025.
• 2024.12.10:  🎉🎉 One paper is accepted by AAAI 2025.
• 2024.11.18:  🎉🎉 Our paper DPT (Dual modality prompt tuning for vision-language pre-trained model) has been selected to ESI highly cited paper!
• 2024.11.02:  🎉🎉 One paper is accepted by IEEE TGRS.
• 2024.09.26:  🎉🎉 One paper is accepted by NeurIPS 2024.
• 2024.09.09:  🎉🎉 One paper is accepted by IEEE TIP.
• 2024.07.22:  🎉🎉 One paper is accepted by IEEE TGRS.
• 2024.07.12:  🎉🎉 One paper is accepted by IEEE TITS.
• 2024.07.09:  🎉🎉 One paper is accepted by IEEE TMM.
• 2024.07.01:  🎉🎉 One paper is accepted by ECCV.

📝 Publications

2026

Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model

Xueqiang Lv, Shizhou Zhang, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang, ICML, 2026. Code

Temporal-Emerged Prompting for Segment Anything in Multiframe Infrared Small Target Detection

Yinghui Xing, Donghao Chu, Shizhou Zhang, Di Xu, ICML, 2026. Code

Less is More: Infrared and Visible Images Fusion via Semantic-Guided Mixture of Multi-Feature Experts

Yinghui Xing, Zhilong Niu, Shuo Yang, Shizhou Zhang, Yanning Zhang, IEEE Transactions on Image Processing (TIP), 2026. Code

CLIP2RS: Leveraging Pretrained Vision-Language Model for Semantic Segmentation of Remote Sensing Images

Yinghui Xing, Dexuan Kong, Shizhou Zhang, Ziyi Li, Qingyi Li, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2026.

VPT-NSP2++: Importance-Aware Visual Prompt Tuning in Null Space for Continual Learning

Shizhou Zhang, Yue Lu, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. Code

DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance

Yinghui Xing, Xiaoting Su, Shizhou Zhang*, Donghao Chu, Di Xu, AAAI (oral), 2026. Code

On Modality Incomplete Infrared-Visible Object Detection: An Architecture Compatibility Perspective

Shuo Yang, Yinghui Xing^*, Shizhou Zhang, Zhilong Niu, AAAI ABISD, 2026. Code

Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection

Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Lingyan Ran, Dahu Shi, Peng Wang, AAAI, 2026. Code

YOLO-IOD: Towards Real Time Incremental Object Detection

Shizhou Zhang, Xueqiang Lv, Yinghui Xing^*, Qirui Wu, Di Xu, Chen Zhao, Yanning Zhang, AAAI, 2026. Code

Attention Retention for Continual Learning with Vision Transformers

Yue Lu, Xiangyu Zhou, Shizhou Zhang, Yinghui Xing, Guoqiang Liang, Wencong Zhang, AAAI, 2026. Code

Nearest Neighbor Class Prototype Prompt and Simulated Logits for Continual Learning

Yue Lu, Jie Tan, Shizhou Zhang, Yinghui Xing, Guoqiang Liang, Yanning Zhang, Pattern Recognition (PR), 2026.

2025

Amplitude-aware Domain Style Replay for Lifelong Person Re-identification

Long Chen, De Cheng, Shizhou Zhang, Yinghui Xing, Di Xu, Yanning Zhang, ACM MM, 2025. Code

Gradient Decomposition and Alignment for Incremental Object Detection

Wenlong Luo, Shizhou Zhang, De Cheng, Yinghui Xing, Guoqiang Liang, Peng Wang, Yanning Zhang, ICCV, 2025. Code

Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector

Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang, ICML, 2025. Code

Prompt-Based Modality Alignment for Effective Multi-Modal Object Re-Identification

Shizhou Zhang, Wenlong Luo, De Cheng, Yinghui Xing, Guoqiang Liang, Peng Wang, Yanning Zhang, IEEE Transactions on Image Processing, 2025. Code

Dual-Granularity Semantic Guided Sparse Routing Diffusion Model for General Pansharpening

Yinghui Xing, Litao Qu, Shizhou Zhang, Di Xu, Yingkun Yang, Yanning Zhang, CVPR, 2025. Code

Revisting Generative Replay for Class Incremental Object Detection

Shizhou Zhang, Xueqiang Lv, Yinghui Xing^*, Qirui Wu, Di Xu, Yanning Zhang, CVPR, 2025. Code

Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning

Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing, Nannan Wang, Yanning Zhang, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025. Code

Frequency-Guided Spatial Adaptation for Camouflaged Object Detection

Shizhou Zhang, Dexuan Kong, Yinghui Xing^*, Yue Lu, Lingyan Ran, Guoqiang Liang, Hexu Wang, Yanning Zhang, IEEE Transactions on Multimedia, 2025. Code

2024

Dual-Branch Task Residual Enhancement with Parameter-Free Attention for Zero-Shot Multi-label Image Recognition

Shizhou Zhang, Kairui Dang, De Cheng, Yinghui Xing^*, Qirui Wu, Dexuan Kong, Yanning Zhang, International Conference on Pattern Recognition (ICPR), 2024.

SCAFNet: Semantic-Guided Cascade Adaptive Fusion Network for Infrared Small Targets Detection

Shizhou Zhang, Zhang Wang, Yinghui Xing^*, Liangkui Lin, Xiaoting Su, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2024.

Visual Prompt Tuning in Null Space for Continual Learning

Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang, NeuraIPS, 2024. Code

CrossDiff: Exploring Self-Supervised Representation of Pansharpening via Cross-Predictive Diffusion Model

Yinghui Xing, Litao Qu, Shizhou Zhang, Kai Zhang, Yanning Zhang, Lorenzo Bruzzone, IEEE Transactions on Image Processing, 2024. Code

MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization

Yinghui Xing, Shuo Yang, Song Wang, Shizhou Zhang, Guoqiang Liang, Xiuwei Zhang, Yanning Zhang, IEEE Transactions on Intelligent Transportation Systems, 2024. Code

Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach

Shizhou Zhang, Wenlong Luo, De Cheng, Qingchun Yang, Lingyan Ran, Yinghui Xing, Yanning Zhang, ECCV, 2024. Code

DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation

Lingyan Ran, Lushuang Wang, Tao Zhuo, Yinghui Xing, Houjun He, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2024.

Empower Generalizability for Pansharpening Through Text-Modulated Diffusion Model

Yinghui Xing, Litao Qu, Shizhou Zhang, Jiapeng Feng, Xiuwei Zhang, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2024. Code

Complementary Fusion Network Based on Frequency Hybrid Attention for Pansharpening

Yinghui Xing, Litao Qu, Kai Zhang, Yan Zhang, Xiuwei Zhang, Yanning Zhang, ICASSP, 2024.

Improving Reliability of Heterogeneous Change Detection by Sample Synthesis and Knowledge Transfer

Yinghui Xing, Qi Zhang, Lingyan Ran, Xiuwei Zhang, Hanlin Yin, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2024. Code

2023 and before

• Text-based person search in full images via semantic-driven proposal generation. Shizhou Zhang, De Cheng, Wenlong Luo, Yinghui Xing, Duo Long, Hao Li, Kai Niu, Guoqiang Liang, Yanning Zhang, ACM MM Workshop Best Paper Award, 2023.

• FastICENet: A real-time and accurate semantic segmentation model for aerial remote sensing river ice image. Xiuwei Zhang, Zixu Zhao, Lingyan Ran, Yinghui Xing, Wenna Wang, Zeze Lan, Hanlin Yin, Houjun He, Qixing Liu, Baosen Zhang, Yanning Zhang, Signal Processing, 2023.

• Automatic Network Architecture Search for RGB-D Semantic Segmentation. Wenna Wang, Tao Zhuo, Xiuwei Zhang, Mingjun Sun, Hanlin Yin, Yinghui Xing, Yanning Zhang, ACM MM, 2023.

• Ground-to-aerial person search: Benchmark dataset and approach. Shizhou Zhang, Qingchun Yang, De Cheng, Yinghui Xing, Guoqiang Liang, Peng Wang, Yanning Zhang, ACM MM, 2023. Code

• SSML-QNet: scale-separative metric learning quadruplet network for multi-modal image patch matching. Xiuwei Zhang, Yi Sun, Yamin Han, Yanping Li, Hanlin Yin, Yinghui Xing, Yanning Zhang, IJCAI, 2023.

• Progressive modality-alignment for unsupervised heterogeneous change detection. Yinghui Xing, Qi Zhang, Lingyan Ran, Xiuwei Zhang, Hanlin Yin, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2023.

• Dual modality prompt tuning for vision-language pre-trained model. Yinghui Xing, Qirui Wu, De Cheng, Shizhou Zhang, Guoqiang Liang, Peng Wang, Yanning Zhang, IEEE Transactions on Multimedia, 2023. Code

• Runoff predictions in new-gauged basins using two transformer-based models. Hanlin Yin, Wu Zhu, Xiuwei Zhang, Yinghui Xing, Runliang Xia, Jifeng Liu, Yanning Zhang, Journal of Hydrology, 2023.

• AugFCOS: Augmented fully convolutional one-stage object detection network. Xiuwei Zhang, Wei Guo, Yinghui Xing, Wenna Wang, Hanlin Yin, Yanning Zhang, Pattern Recognition, 2023.

• ADHR-CDNet: Attentive differential high-resolution change detection network for remote sensing images. Xiuwei Zhang, Mu Tian, Yinghui Xing, Yuanzeng Yue, Yanping Li, Hanlin Yin, Runliang Xia, Jin Jin, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2023. Code

• Learning spectral cues for multispectral and panchromatic image fusion. Yinghui Xing, Shuyuan Yang, Yan Zhang, Yanning Zhang, IEEE Transactions on Image Processing, 2022.

• Pansharpening via frequency-aware fusion network with explicit similarity constraints. Yinghui Xing, Yan Zhang, Houjun He, Xiuwei Zhang, Yanning Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2022. Code

• Wavefusion: Wavelet assistant fusion model for pan-sharpening. Yinghui Xing, Yan Zhang, Yanning Zhang, IGARSS, 2022.

• ZeRGAN: Zero-reference GAN for fusion of multispectral and panchromatic images. Wenxiu Diao, Feng Zhang, Jiande Sun, Yinghui Xing, Kai Zhang, Lorenzo Bruzzone, IEEE Transactions on Neural Networks and Learning Systems, 2022.

• Dual-collaborative fusion model for multispectral and panchromatic image fusion. Yinghui Xing, Shuyuan Yang, Zhixi Feng, Licheng Jiao, IEEE Transactions on Geoscience and Remote Sensing, 2022.

• SSA-Net: Spatial scale attention network for image-based geo-localization. Xiuwei Zhang, Xiangchuang Meng, Hanlin Yin, Yixin Wang, Yuanzeng Yue, Yinghui Xing, Yanning Zhang, IEEE Geoscience and Remote Sensing Letters, 2021.

• Hyperspectral and Multispectral Image Fusion via Variational Tensor Subspace Decomposition. Yinghui Xing, Yan Zhang, Shuyuan Yang, Yanning Zhang, IEEE Geoscience and Remote Sensing Letters, 2021.

• Exploiting low-rank and sparse properties in strided convolution matrix for pansharpening. Feng Zhang, Haoran Zhang, Kai Zhang, Yinghui Xing, Jiande Sun, Quanyuan Wu, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.

• Pan-sharpening via deep metric learning. Yinghui Xing, Min Wang, Shuyuan Yang, Licheng Jiao, ISPRS Journal of Photogrammetry and Remote Sensing, 2018.

• Pansharpening with multiscale geometric support tensor machine. Yinghui Xing, Min Wang, Shuyuan Yang, Kai Zhang, IEEE Transactions on Geoscience and Remote Sensing, 2018.

• Fusion of panchromatic and multispectral images via coupled sparse non-negative matrix factorization. Kai Zhang, Min Wang, Shuyuan Yang, Yinghui Xing, Rong Qu, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016.

🎖 Honors and Awards

• 2026.07 I was selected as one of the science and technology stars of Northwestern Polytechnical University.
• 2026.03 One paper was selected as the ESI highly cited paper.
• 2025.12 I was selected for the Young Talent Support Program of the Chinese Institute of Electronics.
• 2025.11 I was selected for the Soaring New Star of NWPU.
• 2024.11 One paper was selected as the ESI highly cited paper.
• 2023.05 I was selected for the Youth Talent Support Program of the Xi’an Association for Science and Technology.
• 2022.07 One paper was selected as the ESI highly cited paper.

📖 Educations

• 2020.07 - now, School of Computer Science, Northwestern Polytechnical University.
• 2014.09 - 2020.06, School of Artifical Intelligence, Xidian University.
• 2010.09 - 2014.06, School of Electronic Engineering, Xidian University.