Qin Zhang

According to our database, Qin Zhang authored at least 48 papers between 2013 and 2025.

Collaborative distances:

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

2025

Unveiling user interests: A deep user interest exploration network for sequential location recommendation.

Junyang Chen, Jingcai Guo, Qin Zhang, Kaishun Wu, Liangjie Zhang, Victor C. M. Leung, Huan Wang, Zhiguo Gong

Inf. Sci., 2025

2024

End-to-end approach of multi-grained embedding of categorical features in tabular data.

Han Liu, Qianxi Qiu, Qin Zhang

Inf. Process. Manag., March, 2024

A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models.

Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang

Knowl. Based Syst., 2024

Open-world structured sequence learning via dense target encoding.

Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen

Inf. Sci., 2024

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning.

Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen

CoRR, 2024

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.

Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan

CoRR, 2024

ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios.

Xiaojun Chen, Jimeng Lou, Wenxi Huang, Ting Wan, Qin Zhang, Min Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection.

Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unsupervised Multiple Choices Question Answering Via Universal Corpus.

Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang

Proceedings of the IEEE International Conference on Acoustics, 2024

PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-Wise Hardness.

Siyao Jiang, Huisi Wu, Junyang Chen, Qin Zhang, Jing Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Payment Transaction Pre-training Model for Fraud Transaction Detection.

Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning.

Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen

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

Multi-Level Cross-Modal Alignment for Image Clustering.

Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai

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

2023

Ethereum fraud behavior detection based on graph neural networks.

Runnan Tan, Qingfeng Tan, Qin Zhang, Peng Zhang, Yushun Xie, Zhao Li

Computing, October, 2023

Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering.

Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen

Inf. Process. Manag., May, 2023

PSAC-PDB: Analysis and classification of protein structures.

M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He, Qin Zhang

Comput. Biol. Medicine, May, 2023

Improving long-tailed classification by disentangled variance transfer.

Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu

Internet Things, April, 2023

G²xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.

Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan

CoRR, 2023

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.

Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan

Proceedings of the ACM Web Conference 2023, 2023

Interpolation Normalization for Contrast Domain Generalization.

Mengzhu Wang, Junyang Chen, Huan Wang, Huisi Wu, Zhidan Liu, Qin Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network.

Junyang Chen, Jialong Wang, Zhijiang Dai, Huisi Wu, Mengzhu Wang, Qin Zhang, Huan Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.

Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Selection of BERT Layer for Multi-Label Text Classification.

Zhichao Chen, Han Liu, Qin Zhang

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Multi-modal Chinese Fake News Detection.

Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger

Proceedings of the IEEE International Conference on Data Mining, 2023

A Survey for Efficient Open Domain Question Answering.

Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Semantic-Enhanced Image Clustering.

Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Brain EEG Time-Series Clustering Using Maximum-Weight Clique.

Chenglong Dai, Jia Wu, Dechang Pi, Stefanie I. Becker, Lin Cui, Qin Zhang, Blake W. Johnson

IEEE Trans. Cybern., 2022

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.

Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep Unsupervised Hashing with Latent Semantic Components.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

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

2021

Anomaly detection in dynamic attributed networks.

Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin

Neural Comput. Appl., 2021

Deep Self-Adaptive Hashing for Image Retrieval.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention.

Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang

IEEE Access, 2020

On-demand Influencer Discovery on Social Media.

Cheng Zheng, Qin Zhang, Sean D. Young, Wei Wang

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

2019

Time series feature learning with labeled and unlabeled data.

Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen

Pattern Recognit., 2019

Salient Subsequence Learning for Time Series Clustering.

Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2019

LINEX Support Vector Machine for Large-Scale Classification.

Yue Ma, Qin Zhang, Dewei Li, Yingjie Tian

IEEE Access, 2019

2018

Dynamic implicit social recommendation

Qin Zhang

PhD thesis, 2018

Dual influence embedded social recommendation.

Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang

World Wide Web, 2018

2016

Online Learning from Trapezoidal Data Streams.

Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu

IEEE Trans. Knowl. Data Eng., 2016

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.

Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Query expansion for exploratory search with subtopic discovery in Community Question Answering.

Li Gao, Yao Lu, Qin Zhang, Hong Yang, Yue Hu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised Feature Learning from Time Series.

Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.

Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Towards Mining Trapezoidal Data Streams.

Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

ν-Nonparallel support vector machine for pattern classification.

Yingjie Tian, Qin Zhang, Dalian Liu

Neural Comput. Appl., 2014

Large-scale linear nonparallel support vector machine solver.

Yingjie Tian, Qin Zhang, Yuan Ping

Neurocomputing, 2014

Correlation Analysis for Multiple-dimensional Properties of Water Recourses.

Qin Zhang, Manjin Cheng, Yuhong Xia, Fuqiang Guo, Yingjie Tian

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

2013

Nonparallel Support Vector Machines for Multiple-Instance Learning.

Qin Zhang, Yingjie Tian, Dalian Liu

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013