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Qin 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
— 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
- Qin Zhang 0007
- Qin Zhang 0008
- Qin Zhang 0009
- Qin Zhang 0010
- Qin Zhang 0012
- Qin Zhang 0013
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2020 – today
- 2025
- [j18]Junyang Chen
Unveiling user interests: A deep user interest exploration network for sequential location recommendation. Inf. Sci. 689: 121416 (2025) - 2024
- [j17]Han Liu
End-to-end approach of multi-grained embedding of categorical features in tabular data. Inf. Process. Manag. 61(2): 103645 (2024) - [j16]Qin Zhang
Open-world structured sequence learning via dense target encoding. Inf. Sci. 680: 121147 (2024) - [j15]Xiaojun Chen
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowl. Based Syst. 299: 111968 (2024) - [c26]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 - [c25]Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai:
Multi-Level Cross-Modal Alignment for Image Clustering. AAAI 2024: 14695-14703 - [c24]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu:
A Payment Transaction Pre-training Model for Fraud Transaction Detection. CIKM 2024: 932-941 - [c23]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 - [c22]Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang:
Unsupervised Multiple Choices Question Answering Via Universal Corpus. ICASSP 2024: 11771-11775 - [c21]Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen:
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection. IJCAI 2024: 5481-5489 - [c20]Xiaojun Chen
ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios. ACM Multimedia 2024: 9165-9174 - [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
- [j14]M. Saqib Nawaz
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
Improving long-tailed classification by disentangled variance transfer. Internet Things 21: 100687 (2023) - [j11]Qin Zhang
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering. Inf. Process. Manag. 60(3): 103297 (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
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
Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network. ACM Multimedia 2023: 966-974 - [c13]Mengzhu Wang
Interpolation Normalization for Contrast Domain Generalization. ACM Multimedia 2023: 2936-2945 - [c12]Xin Zheng
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. WWW 2023: 611-620 - [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
- [j10]Chenglong Dai
Brain EEG Time-Series Clustering Using Maximum-Weight Clique. IEEE Trans. Cybern. 52(1): 357-371 (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 - [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
- [j9]Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu
Anomaly detection in dynamic attributed networks. Neural Comput. Appl. 33(6): 2125-2136 (2021) - [c9]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CIKM 2021: 1028-1037 - [i1]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CoRR abs/2108.07094 (2021) - 2020
- [j8]Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. IEEE Access 8: 82481-82492 (2020) - [c8]Cheng Zheng, Qin Zhang, Sean D. Young, Wei Wang
On-demand Influencer Discovery on Social Media. CIKM 2020: 2337-2340
2010 – 2019
- 2019
- [j7]Yue Ma, Qin Zhang
LINEX Support Vector Machine for Large-Scale Classification. IEEE Access 7: 70319-70331 (2019) - [j6]Qin 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
Time series feature learning with labeled and unlabeled data. Pattern Recognit. 89: 55-66 (2019) - 2018
- [b1]Qin Zhang:
Dynamic implicit social recommendation. University of Technology Sydney, Australia, 2018 - [j4]Qinzhe Zhang, Jia Wu
Dual influence embedded social recommendation. World Wide Web 21(4): 849-874 (2018) - 2016
- [j3]Qin Zhang, Peng Zhang
Online Learning from Trapezoidal Data Streams. IEEE Trans. Knowl. Data Eng. 28(10): 2709-2723 (2016) - [c7]Qin Zhang, Jia Wu
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
Towards Mining Trapezoidal Data Streams. ICDM 2015: 1111-1116 - 2014
- [j2]Yingjie Tian
Large-scale linear nonparallel support vector machine solver. Neurocomputing 138: 114-119 (2014) - [j1]Yingjie Tian
ν-Nonparallel support vector machine for pattern classification. Neural Comput. Appl. 25(5): 1007-1020 (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
Nonparallel Support Vector Machines for Multiple-Instance Learning. ITQM 2013: 1063-1072
Coauthor Index
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last updated on 2024-11-19 20:48 CET by the dblp team
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