Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification. - Tingyu Wei; Wenxin Hu; Xingjiao Wu; Yingbin Zheng; Hao Ye 005; Jing Yang 023; Liang He 001 (ICANN (3), 2019)

Adaptive Scenario Discovery for Crowd Counting. - Xingjiao Wu; Yingbin Zheng; Hao Ye 005; Wenxin Hu; Jing Yang 023; Liang He 001 (ICASSP, 2019)

Video Crowd Counting via Dynamic Temporal Modeling. - Xingjiao Wu; Baohan Xu; Yingbin Zheng; Hao Ye 005; Jing Yang 023; Liang He 001 (CoRR, 2019)

Scene Text Recognition with Temporal Convolutional Encoder. - Xiangcheng Du; Tianlong Ma; Yingbin Zheng; Hao Ye 005; Xingjiao Wu; Liang He 001 (ICASSP, 2020)

TCATD: Text Contour Attention for Scene Text Detection. - Ziling Hu; Xingjiao Wu; Jing Yang 023 (ICPR, 2020)

CPSPNet: Crowd Counting via Semantic Segmentation Framework. - Jie He; Xingjiao Wu; Jing Yang 023; Wenxin Hu (ICTAI, 2020)

Margin Guidance Network for Arbitrary-shaped Scene Text Detection. - Xin Li 110; Xingjiao Wu; Tianlong Ma; Zhao Zhou; Luhui Chen; Liang He 001 (ICTAI, 2020)

Feature channel enhancement for crowd counting. - Xingjiao Wu; Shuchen Kong; Yingbin Zheng; Hao Ye 005; Jing Yang 023; Liang He 001 (IET Image Process., 2020)

Fast video crowd counting with a Temporal Aware Network. - Xingjiao Wu; Baohan Xu; Yingbin Zheng; Hao Ye 005; Jing Yang 023; Liang He 001 (Neurocomputing, 2020)

Counting crowds with varying densities via adaptive scenario discovery framework. - Xingjiao Wu; Yingbin Zheng; Hao Ye 005; Wenxin Hu; Tianlong Ma; Jing Yang 023; Liang He 001 (Neurocomputing, 2020)

Counting Crowds with Perspective Distortion Correction via Adaptive Learning. - Yixuan Sun; Jian Jin; Xingjiao Wu; Tianlong Ma; Jing Yang 023 (Sensors, 2020)

Chinese Herbal Recognition Databases Using Human-In-The-Loop Feedback. - Nan Wu; Yujun Zhou 004; Hao Xu; Xingjiao Wu (CSAE, 2021)

LSTMVAEF: Vivid Layout via LSTM-Based Variational Autoencoder Framework. - Jie He; Xingjiao Wu; Wenxin Hu; Jing Yang 023 (ICDAR (2), 2021)

Document Layout Analysis via Dynamic Residual Feature Fusion. - Xingjiao Wu; Ziling Hu; Xiangcheng Du; Jing Yang 023; Liang He 001 (ICME, 2021)

Human-In-The-Loop Document Layout Analysis. - Xingjiao Wu; Tianlong Ma; Xin Li 110; Qin Chen 001; Liang He 001 (CoRR, 2021)

Document Layout Analysis with Aesthetic-Guided Image Augmentation. - Tianlong Ma; Xingjiao Wu; Xin Li 110; Xiangcheng Du; Zhao Zhou; Liang Xue; Cheng Jin 001 (CoRR, 2021)

Document image layout analysis via explicit edge embedding network. - Xingjiao Wu; Yingbin Zheng; Tianlong Ma; Hao Ye 005; Liang He 001 (Inf. Sci., 2021)

Lightweight Network Based Real-time Anomaly Detection Method for Caregiving at Home. - Bin Wang; Xingjiao Wu; Miaomiao Gong; Jin Zhao 001; Yuling Sun (CSCWD, 2022)

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection. - Xin Li 110; Botian Shi; Yuenan Hou; Xingjiao Wu; Tianlong Ma; Yikang Li 002; Liang He 001 (ECCV (38), 2022)

Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. - Luwei Xiao; Xingjiao Wu; Wen Wu 006; Jing Yang 023; Liang He 001 (ICASSP, 2022)

3D Clues Guided Convolution for Depth Completion. - Shuwen Yang; Zhichao Fu; Xingjiao Wu; Xiangcheng Du; Tianlong Ma; Liang He 001 (ICIP, 2022)

Document Layout Analysis Via Positional Encoding. - Ejian Zhou; Xingjiao Wu; Luwei Xiao; Xiangcheng Du; Tianlong Ma; Liang He 001 (ICIP, 2022)

Adaptive Multi-Feature Extraction Graph Convolutional Networks for Multimodal Target Sentiment Analysis. - Luwei Xiao; Ejian Zhou; Xingjiao Wu; Shuwen Yang; Tianlong Ma; Liang He 001 (ICME, 2022)

Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification. - Junjie Xu; Shuwen Yang; Luwei Xiao; Zhichao Fu; Xingjiao Wu; Tianlong Ma; Liang He 001 (IJCNN, 2022)

Cross-Domain Document Layout Analysis via Unsupervised Document Style Guide. - Xingjiao Wu; Luwei Xiao; Xiangcheng Du; Yingbin Zheng; Xin Li 110; Tianlong Ma; Liang He 001 (CoRR, 2022)

A survey of human-in-the-loop for machine learning. - Xingjiao Wu; Luwei Xiao; Yixuan Sun; Junhang Zhang; Tianlong Ma; Liang He 001 (Future Gener. Comput. Syst., 2022)

A Dynamic Composite Ensemble Learning Framework for Multi-Stage Dementia Prediction. - Bangyan Li; Junyan Mao; Xingjiao Wu; Yuling Sun; Liang He 001 (BIBM, 2023)

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. - Xin Li 110; Tao Ma 002; Yuenan Hou; Botian Shi; Yuchen Yang 003; Youquan Liu; Xingjiao Wu; Qin Chen 001; Yikang Li 002; Yu Qiao 001; Liang He 001 (CVPR, 2023)

NTIRE 2023 Challenge on Image Denoising: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li 002; Xiaofei Wang; Jie Hu 021; Yunhe Wang 001; et al. (CVPR Workshops, 2023)

DDT: Dual-branch Deformable Transformer for Image Denoising. - Kangliang Liu; Xiangcheng Du; Sijie Liu; Yingbin Zheng; Xingjiao Wu; Cheng Jin 001 (ICME, 2023)

Image Layer Modeling for Complex Document Layout Generation. - Tianlong Ma; Xingjiao Wu; Xiangcheng Du; Yanlong Wang; Cheng Jin 001 (ICME, 2023)

Dual-Expert Distillation Network for Few-Shot Segmentation. - Junhang Zhang; Zisong Zhuang; Luwei Xiao; Xingjiao Wu; Tianlong Ma; Liang He 001 (ICME, 2023)

Automatic Image Aesthetic Assessment for Human-designed Digital Images. - Yitian Wan; Weijie Li; Xingjiao Wu; Junjie Xu; Jing Yang 023 (MCGE@MM, 2023)

Modeling Stroke Mask for End-to-End Text Erasing. - Xiangcheng Du; Zhao Zhou; Yingbin Zheng; Tianlong Ma; Xingjiao Wu; Cheng Jin 001 (WACV, 2023)

FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. - Yanhong Bai; Jiabao Zhao; Jinxin Shi; Tingjiang Wei; Xingjiao Wu; Liang He 001 (CoRR, 2023)

CGMI: Configurable General Multi-Agent Interaction Framework. - Jinxin Shi; Jiabao Zhao; Yilei Wang; Xingjiao Wu; Jiawen Li; Liang He 001 (CoRR, 2023)

Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering. - Shuwen Yang; Anran Wu; Xingjiao Wu; Luwei Xiao; Tianlong Ma; Cheng Jin 001; Liang He 001 (CoRR, 2023)

DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding. - Anran Wu; Luwei Xiao; Xingjiao Wu; Shuwen Yang; Junjie Xu; Zisong Zhuang; Nian Xie; Cheng Jin 001; Liang He 001 (CoRR, 2023)

UMAAF: Unveiling Aesthetics via Multifarious Attributes of Images. - Weijie Li; Yitian Wan; Xingjiao Wu; Junjie Xu; Cheng Jin 001; Liang He 001 (CoRR, 2023)

DRFN: A unified framework for complex document layout analysis. - Xingjiao Wu; Tianlong Ma; Xiangcheng Du; Ziling Hu; Jing Yang 023; Liang He 001 (Inf. Process. Manag., 2023)

Progressive scene text erasing with self-supervision. - Xiangcheng Du; Zhao Zhou; Yingbin Zheng; Xingjiao Wu; Tianlong Ma; Cheng Jin 001 (Comput. Vis. Image Underst., 2023)

Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. - Luwei Xiao; Xingjiao Wu; Shuwen Yang; Junjie Xu; Jie Zhou 015; Liang He 001 (Inf. Process. Manag., 2023)

Reading Scene Text with Aggregated Temporal Convolutional Encoder. - Tianlong Ma; Xiangcheng Du; Xingjiao Wu; Zhao Zhou; Yingbin Zheng; Cheng Jin 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Chinese Elderly Healthcare-Oriented Conversation: CareQA Dataset and Its Knowledge Distillation Based Generation Framework. - He Xiao; Xingjiao Wu; Jialiang Tong; Bangyan Li; Yuling Sun (BIBM, 2024)

MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. - Zhentao Xie; Jiabao Zhao; Yilei Wang; Jinxin Shi; Yanhong Bai; Xingjiao Wu; Liang He 001 (ECAI, 2024)

Artistry in Pixels: FVS - A Framework for Evaluating Visual Elegance and Sentiment Resonance in Generated Images. - Weijie Li; Luwei Xiao; Xingjiao Wu; Tianlong Ma; Jiabao Zhao; Liang He 001 (ICME, 2024)

Fine-Grained Scene Image Classification with Modality-Agnostic Adapter. - Yiqun Wang; Zhao Zhou; Xiangcheng Du; Xingjiao Wu; Yingbin Zheng; Cheng Jin 001 (ICME, 2024)

Enhancing Out-of-Distribution Generalization in VQA through Gini Impurity-guided Adaptive Margin Loss. - Shuwen Yang; Tianyu Huai; Anran Wu; Xingjiao Wu; Wenxin Hu; Liang He 001 (ICME, 2024)

MultiColor: Image Colorization by Learning from Multiple Color Spaces. - Xiangcheng Du; Zhao Zhou; Xingjiao Wu; Yanlong Wang; Zhuoyao Wang; Yingbin Zheng; Cheng Jin 001 (ACM Multimedia, 2024)

Charting the Uncharted: Building and Analyzing a Multifaceted Chart Question Answering Dataset for Complex Logical Reasoning Process. - Anran Wu; Shuwen Yang; Yujia Xia; Xingjiao Wu; Tianlong Ma; Liang He 001 (PRCV (5), 2024)

FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models. - Yanhong Bai; Jiabao Zhao; Jinxin Shi; Zhentao Xie; Xingjiao Wu; Liang He 001 (CoRR, 2024)

Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences. - Ziang Liu 019; Junjie Xu; Xingjiao Wu; Jing Yang 023; Liang He 001 (CoRR, 2024)

Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation. - Kaiyuan Liu; Jiahao Mei; Hengyu Zhang; Yihuai Zhang; Xingjiao Wu; Daoguo Dong; Liang He 001 (CoRR, 2024)

Simple contrastive learning in a self-supervised manner for robust visual question answering. - Shuwen Yang; Luwei Xiao; Xingjiao Wu; Junjie Xu; Linlin Wang; Liang He 001 (Comput. Vis. Image Underst., 2024)

Cross-domain document layout analysis using document style guide. - Xingjiao Wu; Luwei Xiao; Xiangcheng Du; Yingbin Zheng; Xin Li 110; Tianlong Ma; Cheng Jin 001; Liang He 001 (Expert Syst. Appl., 2024)

Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis. - Luwei Xiao; Xingjiao Wu; Junjie Xu; Weijie Li; Cheng Jin 001; Liang He 001 (Inf. Fusion, 2024)

K-NNDP: K-means algorithm based on nearest neighbor density peak optimization and outlier removal. - Jiyong Liao; Xingjiao Wu; Yaxin Wu; Juelin Shu (Knowl. Based Syst., 2024)

An Exemplar-based Framework for Chinese Text Recognition. - Zhao Zhou; Xiangcheng Du; Yingbin Zheng; Xingjiao Wu; Cheng Jin 001 (AAAI, 2025)

RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation. - Zhentao Xie; Chengcheng Han 006; Jinxin Shi; Wenjun Cui; Xin Zhao; Xingjiao Wu; Jiabao Zhao (ACL (Findings), 2025)

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. - Tianyu Huai; Jie Zhou 015; Xingjiao Wu; Qin Chen 001; Qingchun Bai; Ze Zhou; Liang He 001 (CVPR, 2025)

Efficiency is the rule: Domain adaptive semantic segmentation with minimal annotations. - Tianyu Huai; Junhang Zhang; Xingjiao Wu; Jian Jin; Liang He 001 (Expert Syst. Appl., 2025)

Mitigating reasoning hallucination through Multi-agent Collaborative Filtering. - Jinxin Shi; Jiabao Zhao; Xingjiao Wu; Ruyi Xu; Yuan-Hao Jiang; Liang He 001 (Expert Syst. Appl., 2025)

A lightweight depth completion network with spatial efficient fusion. - Zhichao Fu; Anran Wu; Zisong Zhuang; Xingjiao Wu; Jun He (Image Vis. Comput., 2025)

Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation. - Junjie Xu; Xingjiao Wu; Tanren Yao; Zihao Zhang; Jiayang Bei; Wen Wu 006; Liang He 001 (CoRR, 2025)

Task-Core Memory Management and Consolidation for Long-term Continual Learning. - Tianyu Huai; Jie Zhou 015; Yuxuan Cai; Qin Chen 001; Wen Wu 006; Xingjiao Wu; Xipeng Qiu; Liang He 001 (CoRR, 2025)

MARS: Multimodal-Assisted Refined Semantic Alignment. - Junjie Xu; Xingjiao Wu; Zihao Zhang; Shuwen Yang; Tianlong Ma; Daoguo Dong; Liang He 001 (Inf. Process. Manag., 2026)