Lingyun Song

According to our database, Lingyun Song authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning.

Lingyun Song, Haodong Li, Yacong Tan, Zhanhuai Li, Xuequn Shang

Neural Networks, January, 2024

FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos.

Lingyun Song, Siyu Chen, Ziyang Meng, Mingxuan Sun, Xuequn Shang

IEEE Trans. Multim., 2024

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning.

Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, Jie Ma, Zhanhuai Li, Mingxuan Sun

Neural Networks, 2024

Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models.

Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui

CoRR, 2024

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering.

Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du

CoRR, 2024

A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect.

Lingyun Song, Chengkun Yang, Xuanyu Li, Xuequn Shang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Consensus Filter for Distributed Sensor Networks With Unknown Colored Noise.

Lingyun Song, Zhongliang Jing, Peng Dong

Proceedings of the International Conference on Computing, 2024

2023

A deep cross-modal neural cognitive diagnosis framework for modeling student performance.

Lingyun Song, Mengting He, Xuequn Shang, Chen Yang, Jun Liu, Mengzhen Yu, Yu Lu

Expert Syst. Appl., November, 2023

Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing.

Lingyun Song, Xuequn Shang, Chen Yang, Mingxuan Sun

IEEE Trans. Multim., 2023

Answering knowledge-based visual questions via the exploration of Question Purpose.

Lingyun Song, Jianao Li, Jun Liu, Yang Yang, Xuequn Shang, Mingxuan Sun

Pattern Recognit., 2023

Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding.

Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang

Neural Networks, 2023

2022

Consensus cubature filtering based on Gaussian process for distributed sensor network with model uncertainty.

Lingyun Song, Zhongliang Jing, Peng Dong, Ruping Zou, Shichao Chen

Signal Process., 2022

A deep grouping fusion neural network for multimedia content understanding.

Lingyun Song, Mengzhen Yu, Xuequn Shang, Yu Lu, Jun Liu, Ying Zhang, Zhanhuai Li

IET Image Process., 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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract).

Jie Liu, Lingyun Song, Li Gao, Xuequn Shang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Weakly Supervised Group Mask Network for Object Detection.

Lingyun Song, Jun Liu, Mingxuan Sun, Xuequn Shang

Int. J. Comput. Vis., 2021

2019

An Interpretable Fast Model for Predicting The Risk of Heart Failure.

Xianli Zhang, Buyue Qian, Xiaoyu Li, Jishang Wei, Yingqian Zheng, Lingyun Song, Qinghua Zheng

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Classifying Breast Cancer Histopathological Images Using a Robust Artificial Neural Network Architecture.

Xianli Zhang, Yinbin Zhang, Buyue Qian, Xiaotong Liu, Xiaoyu Li, Xudong Wang, Changchang Yin, Xin Lv, Lingyun Song, Liang Wang

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Exploring Nonnegative and Low-Rank Correlation for Noise-Resistant Spectral Clustering.

Zheng Wang, Cai Na, Zeyu Ma, Si Chen, Lingyun Song, Yang Yang

Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding.

Lingyun Song, Jun Liu, Buyue Qian, Yihe Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification.

Lingyun Song, Jun Liu, Buyue Qian, Mingxuan Sun, Kuan Yang, Meng Sun, Samar Abbas

IEEE Trans. Image Process., 2018

2017

Sparse Relational Topical Coding on multi-modal data.

Lingyun Song, Jun Liu, Minnan Luo, Buyue Qian, Kuan Yang

Pattern Recognit., 2017

2016

Size-invariant extended visual cryptography with embedded watermark based on error diffusion.

Bin Yan, Ya-Fei Wang, Lingyun Song, Hong-Mei Yang

Multim. Tools Appl., 2016

Sparse Multi-Modal Topical Coding for Image Annotation.

Lingyun Song, Minnan Luo, Jun Liu, Lingling Zhang, Buyue Qian, Max Haifei Li, Qinghua Zheng

Neurocomputing, 2016

2015

Power Spectrum Compliant QIM Watermarking for Autoregressive Host Signals.

Bin Yan, Ya-Fei Wang, Lingyun Song, Hong-Mei Yang

J. Inf. Hiding Multim. Signal Process., 2015

Faceted fusion of RDF data.

Wen-qian Liu, Jun Liu, Meng Wang, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao

Inf. Fusion, 2015

2014

Faceted Exploring for Domain Knowledge over Linked Open Data.

Meng Wang, Jun Liu, Wenqiang Liu, Qinghua Zheng, Wei Zhang, Lingyun Song, Siyu Yao

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014