| 2026 | AAAI | SparseSurf: Sparse-View 3D Gaussian Splatting for Surface Reconstruction. | Meiying Gu, Jiawei Zhang, Jiahe Li, Xiaohan Yu, Haonan Luo, Jin Zheng, Xiao Bai |
| 2025 | AAAI | Visual Perturbation for Text-Based Person Search. | Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng |
| 2025 | CVPR | Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning. | Huajie Jiang, Zhengxian Li, Xiaohan Yu, Yongli Hu, Baocai Yin, Jian Yang, Yuankai Qi |
| 2025 | EMNLP | TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning. | Xiaohan Yu, Pu Jian, Chong Chen |
| 2025 | IJCAI | Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models. | Pengcheng Zhang, Xiaohan Yu, Meiying Gu, Yuchen Wu, Yongsheng Gao, Xiao Bai |
| 2025 | ICRA | UGotMe: An Embodied System for Affective Human-Robot Interaction. | Pei-Zhen Li, Longbing Cao, Xiao-Ming Wu, Xiaohan Yu, Runze Yang |
| 2025 | IROS | View-aware Decomposition and Unification for Fast Ground-to-Aerial Person Search. | Qifei Wang, Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Yongsheng Gao |
| 2025 | PAKDD | Gate-ViT: Gated Vision Transformer for Fine-Grained Visual Classification. | Xiaowei Lu, Kanqi Wang, Peiyu Wang, Qin Zhang, Yang Zhao, Gang Liu, Xiaohan Yu |
| 2025 | QRS | QuAInth: A Code Comment Approach for Application-Oriented Quantum Programs via N-Version LLMs. | Xiaohan Yu, Yuechen Li, Jinlong Wen, Kai-Yuan Cai, Beibei Yin |
| 2025 | VTC | Delay-Efficient D2D-Assisted Federated Learning via Upload Mode Selection and Bandwidth Allocation. | Chao Chen, Junjie Shuai, Xiaohan Yu, Chen Shen, Chuanhuang Li, Rui Yin |
| 2025 | WSDM | Explainable CTR Prediction via LLM Reasoning. | Xiaohan Yu, Li Zhang, Chong Chen |
| 2024 | ADMA | PViT: Pooling Vision Transformer for Active Trachoma Image Classification. | Mulugeta Shitie Zewudie, Shengwu Xiong, Xiaohan Yu, Xiaoyu Wu, Aminu Onimisi Abdulsalami, Mengjiao Wang |
| 2024 | BMVC | EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles. | Zicheng Pan, Xiaohan Yu, Yongsheng Gao |
| 2024 | CVPR | Robust Synthetic-to-Real Transfer for Stereo Matching. | Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai |
| 2024 | ECCV | CoR-GS: Sparse-View 3D Gaussian Splatting via Co-regularization. | Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai |
| 2024 | VTC | Minimum-Delay Beam Scheduling Leveraging Reflections for Switched Beamforming Systems. | Chao Chen, Haojun Xu, Rui Yin, Xiaohan Yu, Bo Ma, Chuanhuang Li |
| 2023 | DICTA | What EXACTLY are We Looking at?: Investigating for Discriminance in Ultra-Fine-Grained Visual Categorization Tasks. | Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao |
| 2023 | DICTA | SupCon-ViT: Supervised contrastive learning for ultra-fine-grained visual categorization. | Xiaowei Lu, Xiaohan Yu, Kanqi Wang, Ying Wang, Peiyu Wang, Gang Liu, Yang Zhao, Yunhui Xiang, Yongsheng Gao, Xiaoyu Wu |
| 2023 | DICTA | A Novel Quality Control System of Sugarcane Billet Using Machine Vision. | Li Wei, Barton Wixted, Caitlin Day, Xiaohan Yu, Andrew Busch |
| 2023 | DICTA | Diving into Continual Ultra-fine-grained Visual Categorization. | Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng, Xiaoyu Wu, Yongsheng Gao |
| 2023 | EACL | An Intra-Class Relation Guided Approach for Code Comment Generation. | Zhenni Wang, Xiaohan Yu, Yansong Feng, Dongyan Zhao |
| 2023 | IJCAI | CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. | Xiaohan Yu, Jun Wang, Yongsheng Gao |
| 2023 | IVCNZ | NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability. | Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao |
| 2023 | WACV | SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. | Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao |
| 2022 | ECCV | Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. | Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock |
| 2022 | ICASSP | PGTRNET: Two-Phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement. | Jun Wang, Hefeng Zhou, Xiaohan Yu |
| 2022 | VTC | Optimal Multicast Scheduling for Switched Beamforming Systems Leveraging Reflections. | Chao Chen, Ziye Li, Seung Jun Baek, Rui Yin, Xiaohan Yu, Chuanhuang Li |
| 2022 | WCNC | Channel-Aware Scheduling for Coded Packet Broadcasting in Full-Duplex Relay Networks. | Chao Chen, Ripeng Huang, Seung Jun Baek, Rui Yin, Xiaohan Yu, Chuanhuang Li |
| 2021 | BMVC | Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. | Jun Wang, Xiaohan Yu, Yongsheng Gao |
| 2021 | DICTA | Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. | Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao |
| 2021 | DICTA | A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. | Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao |
| 2021 | DICTA | EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. | Jun Wang, Yang Zhao, Linglong Qian, Xiaohan Yu, Yongsheng Gao |
| 2021 | ICCV | Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance. | Xiaohan Yu, Yang Zhao, Yongsheng Gao, Xiaohui Yuan, Shengwu Xiong |
| 2021 | ICIP | Mask Guided Attention For Fine-Grained Patchy Image Classification. | Jun Wang, Xiaohan Yu, Yongsheng Gao |
| 2020 | AAAI | Patchy Image Structure Classification Using Multi-Orientation Region Transform. | Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan |
| 2020 | EMNLP | Towards Context-Aware Code Comment Generation. | Xiaohan Yu, Quzhe Huang, Zheng Wang, Yansong Feng, Dongyan Zhao |
| 2020 | GLOBECOM | Low-Complexity Coded Transmission Without CSI for Full-Duplex Relay Networks. | Chao Chen, Zheng Meng, Seung Jun Baek, Xiaohan Yu, Chuanhuang Li, Rui Yin |
| 2020 | ICCE | Game-Based Learning in Language Education: A Review of Empirical Studies from 2009 to 2018. | Chang Xu, Xian Zhang, Xiaohan Yu, Yutong Lu, Chunping Zheng |
| 2019 | AAAI | Lattice CNNs for Matching Based Chinese Question Answering. | Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao |
| 2019 | ICIP | Contour Covariance: A Fast Descriptor for Classification. | Xiaohan Yu, Shengwu Xiong, Yongsheng Gao, Xiaohui Yuan |
| 2017 | AMIA | Bar charts detection and analysis in biomedical literature of PubMed Central. | Ying He, Xiaohan Yu, Yangjing Gan, Tujin Zhu, Shengwu Xiong, Jing Peng, Lun Hu, Guang Xu, Xiaohui Yuan |
| 2016 | DICTA | Multiscale Crossing Representation Using Combined Feature of Contour and Venation for Leaf Image Identification. | Xiaohan Yu, Shengwu Xiong, Yongsheng Gao, Yang Zhao, Xiaohui Yuan |
| 2015 | IVCNZ | Leaf image retrieval using combined feature of vein and contour. | Xiaohan Yu, Shengwu Xiong, Yongsheng Gao |
| 2013 | PIMRC | Compressive data aggregation in wireless sensor networks using sub-Gaussian random matrices. | Xiaohan Yu, Seung Jun Baek |