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ORCIDQin Zhang 0011
Person information
- affiliation: Shenzhen University, College of Computer Science and Software Engineering, Big Data Institute, Shenzhen, China
- affiliation: Tencent, Data Center for Cloud and Smart Industries Group, Shenzhen, China
- affiliation (PhD 2018): University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, NSW, Australia
- affiliation (former): Chinese Academy of Science, Research Center on Fictitious Economy and Data Science, Beijing, China
Other persons with the same name
- Qin Zhang — disambiguation page
- Qin Zhang 0001
![[0000-0002-6851-3115]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6851-3115")
— Indiana University Bloomington, Computer Science Department, IN, USA (and 3 more) - Qin Zhang 0002 — University of Luxembourg
- Qin Zhang 0003 — Dartmouth College, Hanover, NH, USA
- Qin Zhang 0004 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Qin Zhang 0005 — The University of Texas at Austin, USA (and 1 more)
- Qin Zhang 0006 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, State Key Laboratory of Digital, Manufacturing Equipment and Technology, Wuhan, China (and 3 more)
- Qin Zhang 0007 — Tsinghua University, Institute of Nuclear and New Energy Technology, Beijing, China (and 2 more)
- Qin Zhang 0008 — Ocean University of China, Department of Computer Science and Technology, Qingdao, China (and 1 more)
- Qin Zhang 0009 — Communication University of China, Information Engineering School, State Key Laboratory of Media Convergence and Communication, Beijing, China (and 2 more)
- Qin Zhang 0010 — Chang'an University, College of Geology Engineering and Geomatics, Xi'an, China
- Qin Zhang 0012 — Washington State University, Department of Biological Systems Engineering, Center for Precision and Automated Agricultural Systems, Prosser, WA, USA (and 1 more)
- Qin Zhang 0013 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
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Books and Theses
- 2018
[b1]Qin Zhang:
Dynamic implicit social recommendation. University of Technology Sydney, Australia, 2018
Journal Articles
- 2025
- [j18]Junyang Chen, Jingcai Guo, Qin Zhang, Kaishun Wu, Liangjie Zhang, Victor C. M. Leung, Huan Wang, Zhiguo Gong:
Unveiling user interests: A deep user interest exploration network for sequential location recommendation. Inf. Sci. 689: 121416 (2025) - 2024
- [j17]Han Liu, Qianxi Qiu, Qin Zhang:
End-to-end approach of multi-grained embedding of categorical features in tabular data. Inf. Process. Manag. 61(2): 103645 (2024) - [j16]Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen:
Open-world structured sequence learning via dense target encoding. Inf. Sci. 680: 121147 (2024) - [j15]Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang:
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowl. Based Syst. 299: 111968 (2024) - 2023
- [j14]M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He, Qin Zhang:
PSAC-PDB: Analysis and classification of protein structures. Comput. Biol. Medicine 158: 106814 (2023) - [j13]Runnan Tan, Qingfeng Tan, Qin Zhang, Peng Zhang, Yushun Xie, Zhao Li:
Ethereum fraud behavior detection based on graph neural networks. Computing 105(10): 2143-2170 (2023) - [j12]Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu:
Improving long-tailed classification by disentangled variance transfer. Internet Things 21: 100687 (2023) - [j11]Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen:
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering. Inf. Process. Manag. 60(3): 103297 (2023) - 2022
- [j10]Chenglong Dai, Jia Wu, Dechang Pi, Stefanie I. Becker, Lin Cui, Qin Zhang, Blake W. Johnson:
Brain EEG Time-Series Clustering Using Maximum-Weight Clique. IEEE Trans. Cybern. 52(1): 357-371 (2022) - 2021
- [j9]Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin:
Anomaly detection in dynamic attributed networks. Neural Comput. Appl. 33(6): 2125-2136 (2021) - 2020
- [j8]Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang:
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access 8: 82481-82492 (2020) - 2019
- [j7]Yue Ma, Qin Zhang, Dewei Li, Yingjie Tian:
LINEX Support Vector Machine for Large-Scale Classification. IEEE Access 7: 70319-70331 (2019) - [j6]Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang:
Salient Subsequence Learning for Time Series Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2193-2207 (2019) - [j5]Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen:
Time series feature learning with labeled and unlabeled data. Pattern Recognit. 89: 55-66 (2019) - 2018
- [j4]Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang:
Dual influence embedded social recommendation. World Wide Web 21(4): 849-874 (2018) - 2016
- [j3]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. 28(10): 2709-2723 (2016) - 2014
- [j2]Yingjie Tian, Qin Zhang, Yuan Ping:
Large-scale linear nonparallel support vector machine solver. Neurocomputing 138: 114-119 (2014) - [j1]Yingjie Tian, Qin Zhang, Dalian Liu:
ν-Nonparallel support vector machine for pattern classification. Neural Comput. Appl. 25(5): 1007-1020 (2014)
Conference and Workshop Papers
- 2024
- [c23]Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen:
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. AAAI 2024: 9350-9358 - [c22]Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai:
Multi-Level Cross-Modal Alignment for Image Clustering. AAAI 2024: 14695-14703 - [c21]Siyao Jiang, Huisi Wu, Junyang Chen, Qin Zhang, Jing Qin:
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-Wise Hardness. CVPR 2024: 11418-11427 - [c20]Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang:
Unsupervised Multiple Choices Question Answering Via Universal Corpus. ICASSP 2024: 11771-11775 - 2023
- [c19]Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen:
Semantic-Enhanced Image Clustering. AAAI 2023: 6869-6878 - [c18]Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang:
A Survey for Efficient Open Domain Question Answering. ACL (1) 2023: 14447-14465 - [c17]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger:
Multi-modal Chinese Fake News Detection. ICDM (Workshops) 2023: 109-117 - [c16]Zhichao Chen, Han Liu, Qin Zhang:
Adaptive Selection of BERT Layer for Multi-Label Text Classification. ICMLC 2023: 434-439 - [c15]Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. IJCAI 2023: 4576-4583 - [c14]Junyang Chen, Jialong Wang, Zhijiang Dai, Huisi Wu, Mengzhu Wang, Qin Zhang, Huan Wang:
Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network. ACM Multimedia 2023: 966-974 - [c13]Mengzhu Wang, Junyang Chen, Huan Wang, Huisi Wu, Zhidan Liu, Qin Zhang:
Interpolation Normalization for Contrast Domain Generalization. ACM Multimedia 2023: 2936-2945 - [c12]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. WWW 2023: 611-620 - 2022
- [c11]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang:
Deep Unsupervised Hashing with Latent Semantic Components. AAAI 2022: 7488-7496 - [c10]Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. ICDM 2022: 703-712 - 2021
- [c9]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CIKM 2021: 1028-1037 - 2020
- [c8]Cheng Zheng, Qin Zhang, Sean D. Young, Wei Wang:
On-demand Influencer Discovery on Social Media. CIKM 2020: 2337-2340 - 2016
- [c7]Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang:
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. ICDM 2016: 669-678 - [c6]Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang:
Unsupervised Feature Learning from Time Series. IJCAI 2016: 2322-2328 - [c5]Li Gao, Yao Lu, Qin Zhang, Hong Yang, Yue Hu:
Query expansion for exploratory search with subtopic discovery in Community Question Answering. IJCNN 2016: 4715-4720 - [c4]Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang:
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. PAKDD (1) 2016: 40-51 - 2015
- [c3]Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu:
Towards Mining Trapezoidal Data Streams. ICDM 2015: 1111-1116 - 2014
- [c2]Qin Zhang, Manjin Cheng, Yuhong Xia, Fuqiang Guo, Yingjie Tian:
Correlation Analysis for Multiple-dimensional Properties of Water Recourses. ITQM 2014: 542-551 - 2013
- [c1]Qin Zhang, Yingjie Tian, Dalian Liu:
Nonparallel Support Vector Machines for Multiple-Instance Learning. ITQM 2013: 1063-1072
Informal and Other Publications
- 2024
- [i10]Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai:
Multi-level Cross-modal Alignment for Image Clustering. CoRR abs/2401.11740 (2024) - [i9]Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan:
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning. CoRR abs/2402.16374 (2024) - [i8]Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang:
Unsupervised multiple choices question answering via universal corpus. CoRR abs/2402.17333 (2024) - [i7]Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen:
ROGPL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. CoRR abs/2402.18495 (2024) - 2023
- [i6]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. CoRR abs/2302.12357 (2023) - [i5]Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. CoRR abs/2308.05463 (2023) - 2022
- [i4]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang:
Deep Unsupervised Hashing with Latent Semantic Components. CoRR abs/2203.09420 (2022) - [i3]Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen:
Semantic-enhanced Image Clustering. CoRR abs/2208.09849 (2022) - [i2]Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang:
A Survey for Efficient Open Domain Question Answering. CoRR abs/2211.07886 (2022) - 2021
- [i1]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CoRR abs/2108.07094 (2021)
Coauthor Index
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