Linlin Zong

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 44

Top Topics

Temporal Knowledge

Graph Embedding

Negative Matrix Factorization

Heterogeneous Information Networks

Top Venues

Neural Networks

IEEE Trans. Neural Networks Learn. Syst.

Publications

Linlin Zong, Jinglin Zhang, Jiahui Zhou, Xianchao Zhang, Bo Xu
Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding. Appl. Intell. 54 (3) (2024)
Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu
Video-Context Aligned Transformer for Video Question Answering. AAAI (2024)
Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang, Bo Xu
RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion. LREC/COLING (2024)
Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong
Continual Learning with Class-Level Minimally Interfered Update. ICASSP (2024)
Xinyue Liu, Jianan Zhang, Chi Ma, Wenxin Liang, Bo Xu, Linlin Zong
Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding. LREC/COLING (2024)
Linlin Zong, Faqiang Miao, Xianchao Zhang, Wenxin Liang, Bo Xu
Self-Supervised Deep Multiview Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Linlin Zong, Jiahui Zhou, Wenmin Lin, Xinyue Liu, Xianchao Zhang, Bo Xu
Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection. ACL (Findings) (2024)
Linlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu
An Early Depression Detection Model on Social Media using Emotional and Causal Features. BIBM (2023)
Zhuang Shao, Jiahui Wan, Linlin Zong
A Video Question Answering Model Based on Knowledge Distillation. Inf. 14 (6) (2023)
Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong
Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. PAKDD (1) (2023)
Junlong Wang, Yongqi Leng, Xinyu Zhai, Linlin Zong, Hongfei Lin, Bo Xu
Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System. NLPCC (3) (2023)
Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu
Hate Speech Detection via Dual Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu
Hate Speech Detection via Dual Contrastive Learning. CoRR (2023)
Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li
Deep anomaly detection with self-supervised learning and adversarial training. Pattern Recognit. 121 (2022)
Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang
Graph Clustering With Graph Capsule Network. Neural Comput. 34 (5) (2022)
Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma
RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. COLING (2022)
Taosong Fang, Bo Xu, Linlin Zong
Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features. FSDM (2022)
Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu
Maintaining Consistency with Constraints: A Constrained Deep Clustering Method. PAKDD (2) (2021)
Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu
FedCMR: Federated Cross-Modal Retrieval. SIGIR (2021)
Beilei Cui, Hong Yu, Linlin Zong, Ziyang Cheng
Self-Guided Deep Multi-View Subspace Clustering Network. ICME (2021)
Fan Yang, Wenxin Liang, Linlin Zong
Attribute Network Alignment Based on Network Embedding. ICCDE (2021)
Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, Hong Yu
Incomplete multi-view clustering with partially mapped instances and clusters. Knowl. Based Syst. 212 (2021)
Qianli Zhao, Linlin Zong, Xianchao Zhang, Yuangang Li, Xiaorui Tang
A Multimodal Clustering Framework With Cross Reconstruction Autoencoders. IEEE Access 8 (2020)
Xianchao Zhang, Jie Mu, Linlin Zong, Xiaochun Yang
End-To-End Deep Multimodal Clustering. ICME (2020)
Xinyue Liu, Shichong Yang, Linlin Zong
Constrained Spectral Clustering Network with Self-Training. ICPR (2020)
Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Multi-view clustering via clusterwise weights learning. Knowl. Based Syst. 193 (2020)
Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Multi-view clustering on data with partial instances and clusters. Neural Networks 129 (2020)
Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu
Deep Multimodal Clustering with Cross Reconstruction. PAKDD (1) (2020)
Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Incomplete multi-view spectral clustering. J. Intell. Fuzzy Syst. 38 (3) (2020)
Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu
Multimodal Clustering via Deep Commonness and Uniqueness Mining. CIKM (2020)
Xinyue Liu, Pengxin Liu, Linlin Zong
Transductive Prototypical Network For Few-Shot Classification. ICIP (2020)
Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu
Protein Complexes Detection Based on Deep Neural Network. PAKDD (Workshops) (2019)
Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang
One Shot Learning with Margin. PAKDD (2) (2019)
Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou
Spectral Perturbation Meets Incomplete Multi-view Data. CoRR (2019)
Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou
Spectral Perturbation Meets Incomplete Multi-view Data. IJCAI (2019)
Linlin Zong, Xianchao Zhang, Xinyue Liu
Multi-view clustering on unmapped data via constrained non-negative matrix factorization. Neural Networks 108 (2018)
Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. AAAI (2018)
Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang
Discovering social spammers from multiple views. Neurocomputing 225 (2017)
Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao
Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks 88 (2017)
Hong Yu, Yahong Lian, Linlin Zong, Linlin Tian
Self-Paced Learning Based Multi-view Spectral Clustering. ICTAI (2017)
Xianchao Zhang, Haixin Li, Wenxin Liang, Linlin Zong, Xinyue Liu
Heterogeneous Information Networks Bi-clustering with Similarity Regularization. PAISI (2016)
Xianchao Zhang, Linlin Zong, Xinyue Liu, Jiebo Luo
Constrained Clustering With Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 27 (7) (2016)
Linlin Zong, Xianchao Zhang, Hong Yu, Qianli Zhao, Feng Ding
Local linear neighbor reconstruction for multi-view data. Pattern Recognit. Lett. 84 (2016)
Xianchao Zhang, Linlin Zong, Quanzeng You, Xing Yong
Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu
Constrained NMF-Based Multi-View Clustering on Unmapped Data. AAAI (2015)
Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. ICDM (2014)
Xinyue Liu, Linlin Zong, Xianchao Zhang, Hongfei Lin
Active Semi-supervised Spectral Clustering. PAAP (2011)