Linlin Zong

According to our database, Linlin Zong authored at least 41 papers between 2011 and 2024.

Collaborative distances:

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

2024

Self-Supervised Deep Multiview Spectral Clustering.

Linlin Zong, Faqiang Miao, Xianchao Zhang, Wenxin Liang, Bo Xu

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding.

Linlin Zong, Jinglin Zhang, Jiahui Zhou, Xianchao Zhang, Bo Xu

Appl. Intell., February, 2024

Video-Context Aligned Transformer for Video Question Answering.

Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hate Speech Detection via Dual Contrastive Learning.

Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Video Question Answering Model Based on Knowledge Distillation.

Zhuang Shao, Jiahui Wan, Linlin Zong

Inf., 2023

Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering.

Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System.

Junlong Wang, Yongqi Leng, Xinyu Zhai, Linlin Zong, Hongfei Lin, Bo Xu

Proceedings of the Natural Language Processing and Chinese Computing, 2023

An Early Depression Detection Model on Social Media using Emotional and Causal Features.

Linlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Deep anomaly detection with self-supervised learning and adversarial training.

Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li

Pattern Recognit., 2022

Graph Clustering With Graph Capsule Network.

Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang

Neural Comput., 2022

Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features.

Taosong Fang, Bo Xu, Linlin Zong

Proceedings of the Fuzzy Systems and Data Mining VIII, 2022

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips.

Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma

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

2021

Incomplete multi-view clustering with partially mapped instances and clusters.

Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, Hong Yu

Knowl. Based Syst., 2021

FedCMR: Federated Cross-Modal Retrieval.

Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Maintaining Consistency with Constraints: A Constrained Deep Clustering Method.

Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Self-Guided Deep Multi-View Subspace Clustering Network.

Beilei Cui, Hong Yu, Linlin Zong, Ziyang Cheng

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Attribute Network Alignment Based on Network Embedding.

Fan Yang, Wenxin Liang, Linlin Zong

Proceedings of the ICCDE 2021: 7th International Conference on Computing and Data Engineering, Phuket, Thailand, January 15, 2021

2020

Multi-view clustering on data with partial instances and clusters.

Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

Neural Networks, 2020

Multi-view clustering via clusterwise weights learning.

Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

Knowl. Based Syst., 2020

Incomplete multi-view spectral clustering.

Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

J. Intell. Fuzzy Syst., 2020

A Multimodal Clustering Framework With Cross Reconstruction Autoencoders.

Qianli Zhao, Linlin Zong, Xianchao Zhang, Yuangang Li, Xiaorui Tang

IEEE Access, 2020

Deep Multimodal Clustering with Cross Reconstruction.

Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Constrained Spectral Clustering Network with Self-Training.

Xinyue Liu, Shichong Yang, Linlin Zong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

End-To-End Deep Multimodal Clustering.

Xianchao Zhang, Jie Mu, Linlin Zong, Xiaochun Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Transductive Prototypical Network For Few-Shot Classification.

Xinyue Liu, Pengxin Liu, Linlin Zong

Proceedings of the IEEE International Conference on Image Processing, 2020

Multimodal Clustering via Deep Commonness and Uniqueness Mining.

Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

One Shot Learning with Margin.

Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Protein Complexes Detection Based on Deep Neural Network.

Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Spectral Perturbation Meets Incomplete Multi-view Data.

Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Multi-view clustering on unmapped data via constrained non-negative matrix factorization.

Linlin Zong, Xianchao Zhang, Xinyue Liu

Neural Networks, 2018

Weighted Multi-View Spectral Clustering Based on Spectral Perturbation.

Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-view clustering via multi-manifold regularized non-negative matrix factorization.

Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao

Neural Networks, 2017

Discovering social spammers from multiple views.

Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang

Neurocomputing, 2017

Self-Paced Learning Based Multi-view Spectral Clustering.

Hong Yu, Yahong Lian, Linlin Zong, Linlin Tian

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

Constrained Clustering With Nonnegative Matrix Factorization.

Xianchao Zhang, Linlin Zong, Xinyue Liu, Jiebo Luo

IEEE Trans. Neural Networks Learn. Syst., 2016

Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis.

Xianchao Zhang, Linlin Zong, Quanzeng You, Xing Yong

ACM Trans. Knowl. Discov. Data, 2016

Local linear neighbor reconstruction for multi-view data.

Linlin Zong, Xianchao Zhang, Hong Yu, Qianli Zhao, Feng Ding

Pattern Recognit. Lett., 2016

Heterogeneous Information Networks Bi-clustering with Similarity Regularization.

Xianchao Zhang, Haixin Li, Wenxin Liang, Linlin Zong, Xinyue Liu

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

2015

Constrained NMF-Based Multi-View Clustering on Unmapped Data.

Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization.

Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2011

Active Semi-supervised Spectral Clustering.

Xinyue Liu, Linlin Zong, Xianchao Zhang, Hongfei Lin

Proceedings of the Fourth International Symposium on Parallel Architectures, 2011