Intrinsic images using optimization. - Jianbing Shen; Xiaoshan Yang; Yunde Jia; Xuelong Li 001 (CVPR, 2011)

Locality discriminative coding for image classification. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (ICIMCS, 2013)

Graph-Guided Fusion Penalty Based Sparse Coding for Image Classification. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu; Min Xu 001 (PCM, 2013)

Intrinsic Image Decomposition Using Optimization and User Scribbles. - Jianbing Shen; Xiaoshan Yang; Xuelong Li 001; Yunde Jia (IEEE Trans. Cybern., 2013)

A new discriminative coding method for image classification. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (Multim. Syst., 2015)

Cross-Domain Feature Learning in Multimedia. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (IEEE Trans. Multim., 2015)

Automatic Visual Concept Learning for Social Event Understanding. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu; M. Shamim Hossain (IEEE Trans. Multim., 2015)

Boosted Multifeature Learning for Cross-Domain Transfer. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu; Ming-Hsuan Yang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2015)

Abnormal Event Discovery in User Generated Photos. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (ACM Multimedia, 2016)

Deep Relative Attributes. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu; Shuicheng Yan; M. Shamim Hossain; Ahmed Ghoneim (IEEE Trans. Multim., 2016)

Semantic Feature Mining for Video Event Understanding. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2016)

Research on endurance evaluation for NAND flash-based solid state drive. - Xiaoshan Yang; Ligu Zhu; Qicong Zhang (ICIS, 2017)

Research on Evaluation Method of Big Data Storage Utilization. - Xiaoshan Yang; Ligu Zhu; Qicong Zhang; Dongyu Feng (ACIT/CSII/BCD, 2017)

Video Highlight Detection via Deep Ranking Modeling. - Yifan Jiao; Xiaoshan Yang; Tianzhu Zhang 001; Shucheng Huang; Changsheng Xu (PSIVT, 2017)

Deep Relative Tracking. - Junyu Gao 002; Tianzhu Zhang 001; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Image Process., 2017)

Attribute-Assisted Domain Transfer from Image to Sketch. - Yikun Sheng; Xiaoshan Yang; Xueliang Liu; Changsheng Xu (MIPR, 2018)

A Standalone Demo for Quiz Game "Describe and Guess". - Yikun Sheng; Xiaoshan Yang; Changsheng Xu (MIPR, 2018)

A Unified Framework for Multimodal Domain Adaptation. - Fan Qi; Xiaoshan Yang; Changsheng Xu (ACM Multimedia, 2018)

P2T: Part-to-Target Tracking via Deep Regression Learning. - Junyu Gao 002; Tianzhu Zhang 001; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Image Process., 2018)

Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection. - Yifan Jiao; Zhetao Li; Shucheng Huang; Xiaoshan Yang; Bin Liu 014; Tianzhu Zhang 001 (IEEE Trans. Multim., 2018)

Deep-Structured Event Modeling for User-Generated Photos. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (IEEE Trans. Multim., 2018)

Text2Video: An End-to-end Learning Framework for Expressing Text With Videos. - Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (IEEE Trans. Multim., 2018)

A New Incentive Policy for Improving Data Service in P2P Networks. - Qicong Zhang; Ligu Zhu; Xiaoshan Yang (Wirel. Pers. Commun., 2018)

Exploring Feature Representation and Training Strategies in Temporal Action Localization. - Tingting Xie; Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu; Ioannis Patras (ICIP, 2019)

Biomedia ACM MM Grand Challenge 2019: Using Data Enhancement to Solve Sample Unbalance. - Wenhua Meng; Shan Zhang; Xudong Yao; Xiaoshan Yang; Changsheng Xu; Xiaowen Huang 001 (ACM Multimedia, 2019)

Multimodal Attribute and Feature Embedding for Activity Recognition. - Weiming Zhang; Yi Huang 037; Wanting Yu; Xiaoshan Yang; Wei Wang 354; Jitao Sang (MMAsia, 2019)

Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data. - Yi Huang 037; Xiaoshan Yang; Changsheng Xu (PRICAI (1), 2019)

Image Captioning by Asking Questions. - Xiaoshan Yang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks. - Yingying Zhang; Junyu Gao 002; Xiaoshan Yang; Chang Liu; Yan Li 068; Changsheng Xu (AAAI, 2020)

Structured Neural Motifs: Scene Graph Parsing via Enhanced Context. - Yiming Li 008; Xiaoshan Yang; Changsheng Xu (MMM (2), 2020)

Multi-hop Interactive Cross-Modal Retrieval. - Xuecheng Ning; Xiaoshan Yang; Changsheng Xu (MMM (2), 2020)

Data-driven Image Restoration with Option-driven Learning for Big and Small Astronomical Image Datasets. - Peng Jia; Ruiyu Ning; Ruiqi Sun; Xiaoshan Yang; Dongmei Cai (CoRR, 2020)

Discriminative multimodal embedding for event classification. - Fan Qi; Xiaoshan Yang; Tianzhu Zhang 001; Changsheng Xu (Neurocomputing, 2020)

Asymmetric multi-stage CNNs for small-scale pedestrian detection. - Shan Zhang; Xiaoshan Yang; Yanxia Liu; Changsheng Xu (Neurocomputing, 2020)

Cross-domain personalized image captioning. - Cuirong Long; Xiaoshan Yang; Changsheng Xu (Multim. Tools Appl., 2020)

ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. - Chaofan Chen; Xiaoshan Yang; Changsheng Xu; Xuhui Huang; Zhe Ma 001 (CVPR, 2021)

Few-shot Learning for Multi-Modality Tasks. - Jie Chen 001; Qixiang Ye; Xiaoshan Yang; S. Kevin Zhou; Xiaopeng Hong; Li Zhang 040 (ACM Multimedia, 2021)

Multimodal Global Relation Knowledge Distillation for Egocentric Action Anticipation. - Yi Huang 037; Xiaoshan Yang; Changsheng Xu (ACM Multimedia, 2021)

Zero-shot Video Emotion Recognition via Multimodal Protagonist-aware Transformer Network. - Fan Qi; Xiaoshan Yang; Changsheng Xu (ACM Multimedia, 2021)

Few-shot Egocentric Multimodal Activity Recognition. - Jinxing Pan; Xiaoshan Yang; Yi Huang 037; Changsheng Xu (MMAsia, 2021)

Dynamic Hypergraph Convolutional Networks for Skeleton-Based Action Recognition. - Jinfeng Wei; Yunxin Wang; Mengli Guo; Pei Lv; Xiaoshan Yang; Mingliang Xu (CoRR, 2021)

Unsupervised Video Summarization via Relation-Aware Assignment Learning. - Junyu Gao 002; Xiaoshan Yang; Yingying Zhang; Changsheng Xu (IEEE Trans. Multim., 2021)

Emotion Knowledge Driven Video Highlight Detection. - Fan Qi; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Multim., 2021)

Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval. - Wei Wang 354; Junyu Gao 002; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Multim., 2021)

Knowledge-driven Egocentric Multimodal Activity Recognition. - Yi Huang 037; Xiaoshan Yang; Junyu Gao 002; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Health Status Prediction with Local-Global Heterogeneous Behavior Graph. - Xuan Ma; Xiaoshan Yang; Junyu Gao 002; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning. - Xiaoshan Yang; Baochen Xiong; Yi Huang 037; Changsheng Xu (AAAI, 2022)

Dynamic Scene Graph Generation via Anticipatory Pre-training. - Yiming Li 008; Xiaoshan Yang; Changsheng Xu (CVPR, 2022)

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. - Jiabo Ye; Junfeng Tian; Ming Yan 008; Xiaoshan Yang; Xuwu Wang; Ji Zhang 011; Liang He 001; Xin Lin 001 (CVPR, 2022)

Attribute-guided Dynamic Routing Graph Network for Transductive Few-shot Learning. - Chaofan Chen; Xiaoshan Yang; Ming Yan 008; Changsheng Xu (ACM Multimedia, 2022)

Relative Alignment Network for Source-Free Multimodal Video Domain Adaptation. - Yi Huang 037; Xiaoshan Yang; Ji Zhang 011; Changsheng Xu (ACM Multimedia, 2022)

SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification. - Fang Peng; Xiaoshan Yang; Changsheng Xu (CoRR, 2022)

A unified framework for multi-modal federated learning. - Baochen Xiong; Xiaoshan Yang; Fan Qi; Changsheng Xu (Neurocomputing, 2022)

Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition. - Yi Huang 037; Xiaoshan Yang; Junyun Gao; Changsheng Xu (IEEE Trans. Multim., 2022)

The Model May Fit You: User-Generalized Cross-Modal Retrieval. - Xinhong Ma; Xiaoshan Yang; Junyu Gao 002; Changsheng Xu (IEEE Trans. Multim., 2022)

Learning Hierarchical Video Graph Networks for One-Stop Video Delivery. - Yaguang Song; Junyu Gao 002; Xiaoshan Yang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition. - Yuyang Wanyan; Xiaoshan Yang; Chaofan Chen; Changsheng Xu (CVPR, 2023)

Fine-grained Primitive Representation Learning for Compositional Zero-shot Classification. - Han Jiang; Xiaoshan Yang; Chaofan Chen; Changsheng Xu (ICME, 2023)

Iterative Learning with Extra and Inner Knowledge for Long-tail Dynamic Scene Graph Generation. - Yiming Li 008; Xiaoshan Yang; Changsheng Xu (ACM Multimedia, 2023)

Client-Adaptive Cross-Model Reconstruction Network for Modality-Incomplete Multimodal Federated Learning. - Baochen Xiong; Xiaoshan Yang; Yaguang Song; Yaowei Wang 001; Changsheng Xu (ACM Multimedia, 2023)

mPLUG-Octopus: The Versatile Assistant Empowered by A Modularized End-to-End Multimodal LLM. - Qinghao Ye; Haiyang Xu 001; Ming Yan 008; Chenlin Zhao; Junyang Wang 001; Xiaoshan Yang; Ji Zhang 011; Fei Huang 002; Jitao Sang; Changsheng Xu (ACM Multimedia, 2023)

Health-Oriented Multimodal Food Question Answering. - Jianghai Wang; Menghao Hu; Yaguang Song; Xiaoshan Yang (MMM (1), 2023)

Multi-modal Queried Object Detection in the Wild. - Yifan Xu 008; Mengdan Zhang; Chaoyou Fu; Peixian Chen; Xiaoshan Yang; Ke Li 015; Changsheng Xu (NeurIPS, 2023)

CLIP-VG: Self-paced Curriculum Adapting of CLIP via Exploiting Pseudo-Language Labels for Visual Grounding. - Linhui Xiao; Xiaoshan Yang; Fang Peng; Ming Yan 008; Yaowei Wang 001; Changsheng Xu (CoRR, 2023)

Towards a multimodal human activity dataset for healthcare. - Menghao Hu; Mingxuan Luo; Menghua Huang; Wenhua Meng; Baochen Xiong; Xiaoshan Yang; Jitao Sang (Multim. Syst., 2023)

Category Knowledge-Guided Parameter Calibration for Few-Shot Object Detection. - Chaofan Chen; Xiaoshan Yang; Jinpeng Zhang; Bo Dong; Changsheng Xu (IEEE Trans. Image Process., 2023)

Zero-Shot Predicate Prediction for Scene Graph Parsing. - Yiming Li 008; Xiaoshan Yang; Xuhui Huang; Zhe Ma 001; Changsheng Xu (IEEE Trans. Multim., 2023)

Many Hands Make Light Work: Transferring Knowledge From Auxiliary Tasks for Video-Text Retrieval. - Wei Wang 354; Junyu Gao 002; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Multim., 2023)

Counterfactual Scenario-relevant Knowledge-enriched Multi-modal Emotion Reasoning. - Hao Liu; Xiaoshan Yang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Multi-Source Knowledge Reasoning Graph Network for Multi-Modal Commonsense Inference. - Xuan Ma; Xiaoshan Yang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Dual Scene Graph Convolutional Network for Motivation Prediction. - Yuyang Wanyan; Xiaoshan Yang; Xuan Ma; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation. - Yaguang Song; Xiaoshan Yang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Postpartum pelvic organ prolapse assessment via adversarial feature complementation in heterogeneous data. - Mingxuan Luo; Xiaoshan Yang (Neural Comput. Appl., 2023)

Modality-Collaborative Test-Time Adaptation for Action Recognition. - Baochen Xiong; Xiaoshan Yang; Yaguang Song; Yaowei Wang 001; Changsheng Xu (CVPR, 2024)

VG-Annotator: Vision-Language Models as Query Annotators for Unsupervised Visual Grounding. - Jiabo Ye; Junfeng Tian; Xiaoshan Yang; Zhenru Zhang; Anwen Hu; Ming Yan 008; Ji Zhang 011; Liang He 001; Xin Lin 001 (ICME, 2024)

Libra: Building Decoupled Vision System on Large Language Models. - Yifan Xu 008; Xiaoshan Yang; Yaguang Song; Changsheng Xu (ICML, 2024)

HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual Grounding. - Linhui Xiao; Xiaoshan Yang; Fang Peng; Yaowei Wang 001; Changsheng Xu (ACM Multimedia, 2024)

Staying in the Cat-and-Mouse Game: Towards Black-box Adversarial Example Detection. - Yifei Gao; Zhiyu Lin; Yunfan Yang; Jitao Sang; Xiaoshan Yang; Changsheng Xu (MMGR@MM, 2024)

Part-Aware Prompt Tuning for Weakly Supervised Referring Expression Grounding. - Chenlin Zhao; Jiabo Ye; Yaguang Song; Ming Yan 008; Xiaoshan Yang; Changsheng Xu (MMM (3), 2024)

OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling. - Linhui Xiao; Xiaoshan Yang; Fang Peng; Yaowei Wang 001; Changsheng Xu (NeurIPS, 2024)

A Comprehensive Review of Few-shot Action Recognition. - Yuyang Wanyan; Xiaoshan Yang; Weiming Dong; Changsheng Xu (CoRR, 2024)

Towards Visual Grounding: A Survey. - Linhui Xiao; Xiaoshan Yang; Xiangyuan Lan; Yaowei Wang 001; Changsheng Xu (CoRR, 2024)

An open chest X-ray dataset with benchmarks for automatic radiology report generation in French. - Hichem Metmer; Xiaoshan Yang (Neurocomputing, 2024)

Self-supervised spatial-temporal feature enhancement for one-shot video object detection. - Xudong Yao; Xiaoshan Yang (Neurocomputing, 2024)

ICT-empowered rural e-commerce development in China: an adaptive structuration perspective. - Xiaoshan Yang; Yan Jiang; Xiaowei Chen; Fu Jia (Int. J. Technol. Manag., 2024)

A Versatile Multimodal Learning Framework for Zero-Shot Emotion Recognition. - Fan Qi; Huaiwen Zhang; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection. - Yifan Xu 008; Mengdan Zhang; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Image Process., 2024)

SgVA-CLIP: Semantic-Guided Visual Adapting of Vision-Language Models for Few-Shot Image Classification. - Fang Peng; Xiaoshan Yang; Linhui Xiao; Yaowei Wang 001; Changsheng Xu (IEEE Trans. Multim., 2024)

Recovering Generalization via Pre-Training-Like Knowledge Distillation for Out-of-Distribution Visual Question Answering. - Yaguang Song; Xiaoshan Yang; Yaowei Wang 001; Changsheng Xu (IEEE Trans. Multim., 2024)

CLIP-VG: Self-Paced Curriculum Adapting of CLIP for Visual Grounding. - Linhui Xiao; Xiaoshan Yang; Fang Peng; Ming Yan 008; Yaowei Wang 001; Changsheng Xu (IEEE Trans. Multim., 2024)

Cross-Modal Federated Human Activity Recognition. - Xiaoshan Yang; Baochen Xiong; Yi Huang 037; Changsheng Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

UniQRNet: Unifying Referring Expression Grounding and Segmentation with QRNet. - Jiabo Ye; Junfeng Tian; Ming Yan 008; Haiyang Xu 001; Qinghao Ye; Yaya Shi; Xiaoshan Yang; Xuwu Wang; Ji Zhang 011; Liang He 001; Xin Lin 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning. - Chaofan Chen; Xiaoshan Yang; Changsheng Xu (AAAI, 2025)

Pilot: Building the Federated Multimodal Instruction Tuning Framework. - Baochen Xiong; Xiaoshan Yang; Yaguang Song; Yaowei Wang 001; Changsheng Xu (AAAI, 2025)

Component-Coordinated and Uncertainty-Enhanced LoRA for Few-shot Source-Free Domain Adaptive Object Detection. - Xudong Yao; Hao Liu; Xiaoshan Yang (Neurocomputing, 2025)

Compact Latent Primitive Space Learning for Compositional Zero-Shot Learning. - Han Jiang; Chaofan Chen; Xiaoshan Yang; Changsheng Xu (IEEE Trans. Multim., 2025)

Harmony: A Unified Framework for Modality Incremental Learning. - Yaguang Song; Xiaoshan Yang; Dongmei Jiang; Yaowei Wang 001; Changsheng Xu (CoRR, 2025)

FedMRG: federated medical report generation via text-aware learning rate adjustment and multi-level prototype collaboration. - Hichem Metmer; Xiaoshan Yang (Multim. Syst., 2025)

Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation. - Yuyang Wanyan; Xi Zhang; Haiyang Xu 001; Haowei Liu; Junyang Wang 001; Jiabo Ye; Yutong Kou; Ming-Hsuan Yang 001; Fei Huang 002; Xiaoshan Yang; Weiming Dong; Changsheng Xu (CoRR, 2025)