Faceted Exploring for Domain Knowledge over Linked Open Data. - Meng Wang 009; Jun Liu 002; Wenqiang Liu; Qinghua Zheng; Wei Zhang 053; Lingyun Song; Siyu Yao (CIKM, 2014)

Faceted fusion of RDF data. - Wen-qian Liu; Jun Liu 002; Meng Wang 009; Qinghua Zheng; Wei Zhang 053; Lingyun Song; Siyu Yao (Inf. Fusion, 2015)

Power Spectrum Compliant QIM Watermarking for Autoregressive Host Signals. - Bin Yan 001; Ya-Fei Wang; Lingyun Song; Hong-Mei Yang (J. Inf. Hiding Multim. Signal Process., 2015)

Sparse Multi-Modal Topical Coding for Image Annotation. - Lingyun Song; Minnan Luo; Jun Liu 002; Lingling Zhang 005; Buyue Qian; Max Haifei Li; Qinghua Zheng (Neurocomputing, 2016)

Size-invariant extended visual cryptography with embedded watermark based on error diffusion. - Bin Yan 001; Ya-Fei Wang; Lingyun Song; Hong-Mei Yang (Multim. Tools Appl., 2016)

Sparse Relational Topical Coding on multi-modal data. - Lingyun Song; Jun Liu 002; Minnan Luo; Buyue Qian; Kuan Yang (Pattern Recognit., 2017)

A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. - Lingyun Song; Jun Liu 002; Buyue Qian; Mingxuan Sun; Kuan Yang; Meng Sun; Samar Abbas (IEEE Trans. Image Process., 2018)

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. - Lingyun Song; Jun Liu 002; Buyue Qian; Yihe Chen (AAAI, 2019)

Exploring Nonnegative and Low-Rank Correlation for Noise-Resistant Spectral Clustering. - Zheng Wang 044; Cai Na; Zeyu Ma 002; Si Chen; Lingyun Song; Yang Yang 002 (APWeb/WAIM (2), 2019)

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture. - Xianli Zhang; Yinbin Zhang; Buyue Qian; Xiaotong Liu; Xiaoyu Li 007; Xudong Wang; Changchang Yin; Xin Lv; Lingyun Song; Liang Wang (IWBBIO (1), 2019)

An Interpretable Fast Model for Predicting The Risk of Heart Failure. - Xianli Zhang; Buyue Qian; Xiaoyu Li 007; Jishang Wei; Yingqian Zheng; Lingyun Song; Qinghua Zheng (SDM, 2019)

Weakly Supervised Group Mask Network for Object Detection. - Lingyun Song; Jun Liu 002; Mingxuan Sun; Xuequn Shang 001 (Int. J. Comput. Vis., 2021)

MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract). - Jie Liu; Lingyun Song; Li Gao; Xuequn Shang 001 (AAAI, 2022)

Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection. - Li Gao; Lingyun Song; Jie Liu; Bolin Chen; Xuequn Shang 001 (COLING, 2022)

A deep grouping fusion neural network for multimedia content understanding. - Lingyun Song; Mengzhen Yu; Xuequn Shang 001; Yu Lu 003; Jun Liu 002; Ying Zhang; Zhanhuai Li (IET Image Process., 2022)

Consensus cubature filtering based on Gaussian process for distributed sensor network with model uncertainty. - Lingyun Song; Zhongliang Jing; Peng Dong 001; Ruping Zou; Shichao Chen (Signal Process., 2022)

Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding. - Jie Liu; Lingyun Song; Guangtao Wang; Xuequn Shang 001 (Neural Networks, 2023)

Answering knowledge-based visual questions via the exploration of Question Purpose. - Lingyun Song; Jianao Li; Jun Liu 002; Yang Yang; Xuequn Shang 001; Mingxuan Sun (Pattern Recognit., 2023)

Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing. - Lingyun Song; Xuequn Shang 001; Chen Yang; Mingxuan Sun (IEEE Trans. Multim., 2023)

A deep cross-modal neural cognitive diagnosis framework for modeling student performance. - Lingyun Song; Mengting He; Xuequn Shang 001; Chen Yang; Jun Liu 002; Mengzhen Yu; Yu Lu 003 (Expert Syst. Appl., 2023)

Consensus Filter for Distributed Sensor Networks With Unknown Colored Noise. - Lingyun Song; Zhongliang Jing; Peng Dong 001 (CMLDS, 2024)

A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect. - Lingyun Song; Chengkun Yang; Xuanyu Li; Xuequn Shang 001 (EMNLP (Findings), 2024)

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. - Jie Ma 001; Min Hu; Pinghui Wang; Wangchun Sun; Lingyun Song; Hongbin Pei; Jun Liu 002; Youtian Du (NeurIPS, 2024)

Distributed Consensus Multi-Distribution Filter for Heavy-Tailed Noise. - Guan-Nan Chang; Wen-Xing Fu; Tao Cui; Lingyun Song; Peng Dong 001 (J. Sens. Actuator Networks, 2024)

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. - Lingyun Song; Xuequn Shang 001; Ruizhi Zhou; Jun Liu 002; Jie Ma 001; Zhanhuai Li; Mingxuan Sun (Neural Networks, 2024)

FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos. - Lingyun Song; Siyu Chen; Ziyang Meng 002; Mingxuan Sun; Xuequn Shang 001 (IEEE Trans. Multim., 2024)

Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning. - Lingyun Song; Haodong Li; Yacong Tan; Zhanhuai Li; Xuequn Shang 001 (Neural Networks, 2024)

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. - Jie Ma 001; Zhitao Gao 003; Qi Chai; Wangchun Sun; Pinghui Wang; Hongbin Pei; Jing Tao; Lingyun Song; Jun Liu 002; Chen Zhang; Lizhen Cui (AAAI, 2025)

GraphCom: Communication Hierarchy-aware Graph Engine for Distributed Model Training. - Xinbiao Gan; Tiejun Li; Liang Wu; Qiang Zhang 053; Lingyun Song; Bo Yang 023; Jie Liu 002; Kai Lu 001 (WWW, 2025)

Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision. - Yudai Pan; Jiajie Hong; Tianzhe Zhao; Lingyun Song; Jun Liu 002; Xuequn Shang 001 (WWW, 2025)

Cross-modal multi-relational graph reasoning: A novel model for multimodal textbook comprehension. - Lingyun Song; Wenqing Du; Xiaolin Han 002; Xinbiao Gan; Xiaoqi Wang; Xuequn Shang 001 (Inf. Fusion, 2025)