Active Semi-supervised Spectral Clustering. - Xinyue Liu 002; Linlin Zong; Xianchao Zhang 001; Hongfei Lin (PAAP, 2011)

Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. - Xianchao Zhang 001; Long Zhao; Linlin Zong; Xinyue Liu 002; Hong Yu 005 (ICDM, 2014)

Constrained NMF-Based Multi-View Clustering on Unmapped Data. - Xianchao Zhang 001; Linlin Zong; Xinyue Liu 002; Hong Yu 005 (AAAI, 2015)

Heterogeneous Information Networks Bi-clustering with Similarity Regularization. - Xianchao Zhang 001; Haixin Li; Wenxin Liang; Linlin Zong; Xinyue Liu 002 (PAISI, 2016)

Local linear neighbor reconstruction for multi-view data. - Linlin Zong; Xianchao Zhang 001; Hong Yu 005; Qianli Zhao; Feng Ding 004 (Pattern Recognit. Lett., 2016)

Sampling for Nyström Extension-Based Spectral Clustering: Incremental Perspective and Novel Analysis. - Xianchao Zhang 001; Linlin Zong; Quanzeng You; Xing Yong (ACM Trans. Knowl. Discov. Data, 2016)

Constrained Clustering With Nonnegative Matrix Factorization. - Xianchao Zhang 001; Linlin Zong; Xinyue Liu 002; Jiebo Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Self-Paced Learning Based Multi-view Spectral Clustering. - Hong Yu 005; Yahong Lian; Linlin Zong; Linlin Tian (ICTAI, 2017)

Discovering social spammers from multiple views. - Hua Shen 001; Fenglong Ma; Xianchao Zhang 001; Linlin Zong; Xinyue Liu 002; Wenxin Liang (Neurocomputing, 2017)

Multi-view clustering via multi-manifold regularized non-negative matrix factorization. - Linlin Zong; Xianchao Zhang 001; Long Zhao; Hong Yu 005; Qianli Zhao (Neural Networks, 2017)

Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. - Linlin Zong; Xianchao Zhang 001; Xinyue Liu 002; Hong Yu 005 (AAAI, 2018)

Multi-view clustering on unmapped data via constrained non-negative matrix factorization. - Linlin Zong; Xianchao Zhang 001; Xinyue Liu 002 (Neural Networks, 2018)

Spectral Perturbation Meets Incomplete Multi-view Data. - Hao Wang 068; Linlin Zong; Bing Liu 001; Yan Yang 001; Wei Zhou (IJCAI, 2019)

Protein Complexes Detection Based on Deep Neural Network. - Xianchao Zhang 001; Peixu Gao; Maohua Sun; Linlin Zong; Bo Xu 008 (PAKDD (Workshops), 2019)

One Shot Learning with Margin. - Xianchao Zhang 001; Jinlong Nie; Linlin Zong; Hong Yu 005; Wenxin Liang (PAKDD (2), 2019)

Multimodal Clustering via Deep Commonness and Uniqueness Mining. - Linlin Zong; Faqiang Miao; Xianchao Zhang 001; Bo Xu 009 (CIKM, 2020)

Transductive Prototypical Network For Few-Shot Classification. - Xinyue Liu 002; Pengxin Liu; Linlin Zong (ICIP, 2020)

End-To-End Deep Multimodal Clustering. - Xianchao Zhang 001; Jie Mu; Linlin Zong; Xiaochun Yang 001 (ICME, 2020)

Constrained Spectral Clustering Network with Self-Training. - Xinyue Liu 002; Shichong Yang; Linlin Zong (ICPR, 2020)

Deep Multimodal Clustering with Cross Reconstruction. - Xianchao Zhang 001; Xiaorui Tang; Linlin Zong; Xinyue Liu 002; Jie Mu (PAKDD (1), 2020)

A Multimodal Clustering Framework With Cross Reconstruction Autoencoders. - Qianli Zhao; Linlin Zong; Xianchao Zhang 001; Yuangang Li 001; Xiaorui Tang (IEEE Access, 2020)

Incomplete multi-view spectral clustering. - Qianli Zhao; Linlin Zong; Xianchao Zhang 001; Xinyue Liu 002; Hong Yu 005 (J. Intell. Fuzzy Syst., 2020)

Multi-view clustering via clusterwise weights learning. - Qianli Zhao; Linlin Zong; Xianchao Zhang 001; Xinyue Liu 002; Hong Yu 005 (Knowl. Based Syst., 2020)

Multi-view clustering on data with partial instances and clusters. - Linlin Zong; Xianchao Zhang 001; Xinyue Liu 002; Hong Yu 005 (Neural Networks, 2020)

Attribute Network Alignment Based on Network Embedding. - Fan Yang; Wenxin Liang; Linlin Zong (ICCDE, 2021)

Self-Guided Deep Multi-View Subspace Clustering Network. - Beilei Cui; Hong Yu 005; Linlin Zong; Ziyang Cheng (ICME, 2021)

Maintaining Consistency with Constraints: A Constrained Deep Clustering Method. - Yi Cui; Xianchao Zhang 001; Linlin Zong; Jie Mu (PAKDD (2), 2021)

FedCMR: Federated Cross-Modal Retrieval. - Linlin Zong; Qiujie Xie; Jiahui Zhou; Peiran Wu; Xianchao Zhang 001; Bo Xu 009 (SIGIR, 2021)

Incomplete multi-view clustering with partially mapped instances and clusters. - Linlin Zong; Faqiang Miao; Xianchao Zhang 001; Xinyue Liu 002; Hong Yu 005 (Knowl. Based Syst., 2021)

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. - Bo Xu 009; Hongtong Zhang; Jian Wang 021; Xiaokun Zhang 001; Dezhi Hao; Linlin Zong; Hongfei Lin; Fenglong Ma (COLING, 2022)

Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features. - Taosong Fang; Bo Xu 008; Linlin Zong (FSDM, 2022)

Graph Clustering With Graph Capsule Network. - Xianchao Zhang 001; Jie Mu; Han Liu 008; Xiaotong Zhang 003; Linlin Zong; Guanglu Wang (Neural Comput., 2022)

Deep anomaly detection with self-supervised learning and adversarial training. - Xianchao Zhang 001; Jie Mu; Xiaotong Zhang 003; Han Liu 008; Linlin Zong; Yuangang Li 001 (Pattern Recognit., 2022)

An Early Depression Detection Model on Social Media using Emotional and Causal Features. - Linlin Zong; Jian Zheng; Xianchao Zhang 001; Xinyue Liu 002; Wenxin Liang; Bo Xu 009 (BIBM, 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 009 (NLPCC (3), 2023)

Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. - Xianchao Zhang 001; Mengyan Chen; Jie Mu; Linlin Zong (PAKDD (1), 2023)

A Video Question Answering Model Based on Knowledge Distillation. - Zhuang Shao; Jiahui Wan; Linlin Zong (Inf., 2023)

Hate Speech Detection via Dual Contrastive Learning. - Junyu Lu; Hongfei Lin; Xiaokun Zhang 001; Zhaoqing Li; Tongyue Zhang; Linlin Zong; Fenglong Ma; Bo Xu 009 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Video-Context Aligned Transformer for Video Question Answering. - Linlin Zong; Jiahui Wan; Xianchao Zhang 001; Xinyue Liu 002; Wenxin Liang; Bo Xu 009 (AAAI, 2024)

Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection. - Linlin Zong; Jiahui Zhou; Wenmin Lin; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009 (ACL (Findings), 2024)

Modeling Implicit Emotion and User-specific Context for Malevolence Detection in Mental Health Counseling Dialogues. - Bo Xu 009; Xuening Qiao; Xiaokun Zhang 001; Jiahui Wan; Xinyue Liu 002; Linlin Zong; Hongfei Lin (BIBM, 2024)

MPHDetect: Multi-View Prompting and Hypergraph Fusion for Malevolence Detection in Dialogues. - Bo Xu 009; Xuening Qiao; Hongfei Lin; Linlin Zong (CIKM, 2024)

Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding. - Xinyue Liu 002; Jianan Zhang; Chi Ma; Wenxin Liang; Bo Xu 009; Linlin Zong (LREC/COLING, 2024)

RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion. - Linlin Zong; Zhenrong Xie; Chi Ma; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009 (LREC/COLING, 2024)

Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks. - Xinyue Liu 002; Yunlong Gao; Linlin Zong; Bo Xu 009 (EMNLP (Findings), 2024)

Continual Learning with Class-Level Minimally Interfered Update. - Guanglu Wang; Xianchao Zhang 001; Han Liu 008; Xiaotong Zhang 003; Jie Mu; Wentao Yang; Linlin Zong (ICASSP, 2024)

Multi-modal Deep Emotion-Cause Pair Extraction for Video Corpus. - Qianli Zhao; Linlin Zong; Bo Xu 009; Xianchao Zhang 001; Xinyue Liu 002 (ICPR (4), 2024)

Online Class-incremental Continual Learning with Maximum Entropy Memory Update. - Guanglu Wang; Xinyue Liu 002; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (IJCNN, 2024)

Conditional Diffusion Model for Open-ended Video Question Answering. - Xinyue Liu 002; Jiahui Wan; Linlin Zong; Bo Xu 009 (ACM Multimedia, 2024)

DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes. - Erchen Yu; Junlong Wang; Xuening Qiao; Jiewei Qi; Zhaoqing Li; Hongfei Lin; Linlin Zong; Bo Xu 009 (SemEval@NAACL, 2024)

Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding. - Linlin Zong; Jinglin Zhang; Jiahui Zhou; Xianchao Zhang 001; Bo Xu 009 (Appl. Intell., 2024)

Self-Supervised Deep Multiview Spectral Clustering. - Linlin Zong; Faqiang Miao; Xianchao Zhang 001; Wenxin Liang; Bo Xu 009 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection. - Linlin Zong; Wenmin Lin; Jiahui Zhou; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009; Shimin Wu (AAAI, 2025)

Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs. - Yuwei Du; Xinyue Liu 002; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (COLING, 2025)

Conditional Semantic Textual Similarity via Conditional Contrastive Learning. - Xinyue Liu 002; Zeyang Qin; Zeyu Wang; Wenxin Liang; Linlin Zong; Bo Xu 009 (COLING, 2025)

HyperHatePrompt: A Hypergraph-based Prompting Fusion Model for Multimodal Hate Detection. - Bo Xu 009; Erchen Yu; Jiahui Zhou; Hongfei Lin; Linlin Zong (COLING, 2025)

Triple Path Enhanced Neural Architecture Search for Multimodal Fake News Detection. - Bo Xu 009; Qiujie Xie; Jiahui Zhou; Linlin Zong (ICASSP, 2025)

Online Contrastive Continual Learning with Hard Negative Samples. - Guanglu Wang; Xinyue Liu 002; Wentao Yang; Wenxin Liang; Linlin Zong; Xianchao Zhang 001 (ICASSP, 2025)

Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning. - Wentao Yang; Xinyue Liu 002; Yunlong Gao; Wenxin Liang; Linlin Zong; Guanglu Wang; Xianchao Zhang 001 (UAI, 2025)

Text-adaptive spatio-temporal interaction network for video question answering. - Linlin Zong; Jiahui Wan; Xinyu Zhai; Qianli Zhao; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009 (Neurocomputing, 2025)

Cross-view alignment and completion for incomplete information multi-view clustering. - Xinyue Liu 002; Sai Ma; Guosheng Chen; Jiayu Liu; Linlin Zong (Inf. Sci., 2025)

Guiding Prototype Networks with label semantics for few-shot text classification. - Xinyue Liu 002; Yunlong Gao; Linlin Zong; Wenxin Liang; Bo Xu 009 (Pattern Recognit., 2025)