Qin Zhang

71 papers A* 22A 3B 1Misc 2Journal 33Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Paradigm of Temporal-Weather-Aware Transition Pattern for POI Recommendation.
CAAI Trans. Intell. Technol.
Junyang Chen, Jingcai Guo, Huan Wang, Zhihui Lai, Qin Zhang, Kaishun Wu, Liang-Jie Zhang
2025 J jnl
Anomaly detection in attributed networks via local multi-order contrastive learning and global topology awareness.
Neurocomputing
Mark Junjie Li, Gen Zhao, Sunjie Huang, Qin Zhang, Jiang Liu, Meiting Li, Jun Li
2025 A* conf
CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor Segmentation.
CVPR
Zhenhui Ding, Guilian Chen, Qin Zhang, Huisi Wu, Jing Qin
2025 A* conf
Contrastive Lie Algebra Learning for Ultra-Fine-Grained Visual Categorization.
ACM Multimedia
Xiaohan Yu, Zicheng Pan, Yang Zhao, Qin Zhang, Yongsheng Gao
2025 — conf
CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning.
KDD (1)
Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li
2025 — conf
Gate-ViT: Gated Vision Transformer for Fine-Grained Visual Classification.
PAKDD (3)
Xiaowei Lu, Kanqi Wang, Peiyu Wang, Qin Zhang, Yang Zhao, Gang Liu, Xiaohan Yu
2025 J jnl
Graph-augmented contrastive clustering for time series data.
Knowl. Based Syst.
Qin Zhang, Zhuoluo Liang, Alladoumbaye Ngueilbaye, Han Liu, Hong Zhou, Joshua Zhexue Huang
2025 — conf
Hard400: A Bilingual Code Generation Evaluation Benchmark for Large Language Models.
ICIC (18)
Qin Zhang, Song Zhang, Junjie Li, Hong Zhou, Xiaojun Chen, Han Liu
2025 A* conf
MRBench: A Multi-Image Reasoning Benchmark with Adaptive Knowledge Retrieval.
ACM Multimedia
Wenxi Huang, Xiaojun Chen, Qin Zhang, Ting Wan, Ziqi Liu, Liangjie Zhang
2025 J jnl
Self Data Augmentation for Open Domain Question Answering.
ACM Trans. Inf. Syst.
Qin Zhang, Mengqi Zheng, Shangsi Chen, Han Liu, Meng Fang
2025 A* conf
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs.
AAAI
Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan
2025 A* conf
Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts.
ICDM
Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan
2025 J jnl
The Rise of Small Language Models.
IEEE Intell. Syst.
Qin Zhang, Ziqi Liu, Shirui Pan
2025 A* conf
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks.
AAAI
Han Liu, Jiaqing Zhan, Qin Zhang
2025 — conf
Uncertainty-Aware Label Regularisation Driven by Class Embedding with Attention Mechanism.
ICIC (18)
Han Liu, Peiwei Li, Qin Zhang, Yinghui Pan
2025 J jnl
Unveiling user interests: A deep user interest exploration network for sequential location recommendation.
Inf. Sci.
Junyang Chen, Jingcai Guo, Qin Zhang, Kaishun Wu, Liangjie Zhang, Victor C. M. Leung, Huan Wang, Zhiguo Gong
2024 A conf
A Payment Transaction Pre-training Model for Fraud Transaction Detection.
CIKM
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu
2024 J jnl
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models.
Knowl. Based Syst.
Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang
2024 A* conf
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection.
IJCAI
Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen
2024 A* conf
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns.
NeurIPS
Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen
2024 J jnl
End-to-end approach of multi-grained embedding of categorical features in tabular data.
Inf. Process. Manag.
Han Liu, Qianxi Qiu, Qin Zhang
2024 J jnl
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.
CoRR
Man Wu, Xin Zheng, Qin Zhang, Xiao Shen, Xiong Luo, Xingquan Zhu, Shirui Pan
2024 A* conf
Multi-Level Cross-Modal Alignment for Image Clustering.
AAAI
Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai
2024 J jnl
Multi-level Cross-modal Alignment for Image Clustering.
CoRR
Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai
2024 J jnl
Open-world structured sequence learning via dense target encoding.
Inf. Sci.
Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen
2024 A* conf
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-Wise Hardness.
CVPR
Siyao Jiang, Huisi Wu, Junyang Chen, Qin Zhang, Jing Qin
2024 J jnl
ROG
CoRR
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
2024 A* conf
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning.
AAAI
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
2024 A* conf
ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios.
ACM Multimedia
Xiaojun Chen, Jimeng Lou, Wenxi Huang, Ting Wan, Qin Zhang, Min Yang
2024 Misc conf
Unsupervised Multiple Choices Question Answering Via Universal Corpus.
ICASSP
Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang
2024 J jnl
Unsupervised multiple choices question answering via universal corpus.
CoRR
Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang
2023 — conf
A Survey for Efficient Open Domain Question Answering.
ACL (1)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
2023 Misc conf
Adaptive Selection of BERT Layer for Multi-Label Text Classification.
ICMLC
Zhichao Chen, Han Liu, Qin Zhang
2023 A* conf
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.
WWW
Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan
2023 J jnl
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs.
CoRR
Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan
2023 J jnl
Ethereum fraud behavior detection based on graph neural networks.
Computing
Runnan Tan, Qingfeng Tan, Qin Zhang, Peng Zhang, Yushun Xie, Zhao Li
2023 J jnl
G
CoRR
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
2023 A* conf
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.
IJCAI
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
2023 J jnl
Improving long-tailed classification by disentangled variance transfer.
Internet Things
Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu
2023 A* conf
Interpolation Normalization for Contrast Domain Generalization.
ACM Multimedia
Mengzhu Wang, Junyang Chen, Huan Wang, Huisi Wu, Zhidan Liu, Qin Zhang
2023 J jnl
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering.
Inf. Process. Manag.
Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen
2023 — conf
Multi-modal Chinese Fake News Detection.
ICDM (Workshops)
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger
2023 J jnl
PSAC-PDB: Analysis and classification of protein structures.
Comput. Biol. Medicine
M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He, Qin Zhang
2023 A* conf
Semantic-Enhanced Image Clustering.
AAAI
Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen
2023 A* conf
Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network.
ACM Multimedia
Junyang Chen, Jialong Wang, Zhijiang Dai, Huisi Wu, Mengzhu Wang, Qin Zhang, Huan Wang
2022 A* conf
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.
ICDM
Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang
2022 J jnl
A Survey for Efficient Open Domain Question Answering.
CoRR
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
2022 J jnl
Brain EEG Time-Series Clustering Using Maximum-Weight Clique.
IEEE Trans. Cybern.
Chenglong Dai, Jia Wu, Dechang Pi, Stefanie I. Becker, Lin Cui, Qin Zhang, Blake W. Johnson
2022 A* conf
Deep Unsupervised Hashing with Latent Semantic Components.
AAAI
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang
2022 J jnl
Deep Unsupervised Hashing with Latent Semantic Components.
CoRR
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang
2022 J jnl
Semantic-enhanced Image Clustering.
CoRR
Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen
2021 J jnl
Anomaly detection in dynamic attributed networks.
Neural Comput. Appl.
Ruizhi Zhou, Qin Zhang, Peng Zhang, Lingfeng Niu, Xiaodong Lin
2021 A conf
Deep Self-Adaptive Hashing for Image Retrieval.
CIKM
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen
2021 J jnl
Deep Self-Adaptive Hashing for Image Retrieval.
CoRR
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen
2020 J jnl
Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention.
IEEE Access
Cheng Zheng, Qin Zhang, Guodong Long, Chengqi Zhang, Sean D. Young, Wei Wang
2020 A conf
On-demand Influencer Discovery on Social Media.
CIKM
Cheng Zheng, Qin Zhang, Sean D. Young, Wei Wang
2019 J jnl
LINEX Support Vector Machine for Large-Scale Classification.
IEEE Access
Yue Ma, Qin Zhang, Dewei Li, Yingjie Tian
2019 J jnl
Salient Subsequence Learning for Time Series Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Chengqi Zhang
2019 J jnl
Time series feature learning with labeled and unlabeled data.
Pattern Recognit.
Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen
2018 J jnl
Dual influence embedded social recommendation.
World Wide Web
Qinzhe Zhang, Jia Wu, Qin Zhang, Peng Zhang, Guodong Long, Chengqi Zhang
2018 — —
Dynamic implicit social recommendation
Qin Zhang
2016 — conf
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior.
PAKDD (1)
Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
2016 A* conf
Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
ICDM
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang
2016 J jnl
Online Learning from Trapezoidal Data Streams.
IEEE Trans. Knowl. Data Eng.
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2016 B conf
Query expansion for exploratory search with subtopic discovery in Community Question Answering.
IJCNN
Li Gao, Yao Lu, Qin Zhang, Hong Yang, Yue Hu
2016 A* conf
Unsupervised Feature Learning from Time Series.
IJCAI
Qin Zhang, Jia Wu, Hong Yang, Yingjie Tian, Chengqi Zhang
2015 A* conf
Towards Mining Trapezoidal Data Streams.
ICDM
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu
2014 — conf
Correlation Analysis for Multiple-dimensional Properties of Water Recourses.
ITQM
Qin Zhang, Manjin Cheng, Yuhong Xia, Fuqiang Guo, Yingjie Tian
2014 J jnl
Large-scale linear nonparallel support vector machine solver.
Neurocomputing
Yingjie Tian, Qin Zhang, Yuan Ping
2014 J jnl
ν-Nonparallel support vector machine for pattern classification.
Neural Comput. Appl.
Yingjie Tian, Qin Zhang, Dalian Liu
2013 — conf
Nonparallel Support Vector Machines for Multiple-Instance Learning.
ITQM
Qin Zhang, Yingjie Tian, Dalian Liu