Nonparallel Support Vector Machines for Multiple-Instance Learning. - Qin Zhang 011; Yingjie Tian 001; Dalian Liu (ITQM, 2013)

Correlation Analysis for Multiple-dimensional Properties of Water Recourses. - Qin Zhang 011; Manjin Cheng; Yuhong Xia; Fuqiang Guo; Yingjie Tian 001 (ITQM, 2014)

Large-scale linear nonparallel support vector machine solver. - Yingjie Tian 001; Qin Zhang 011; Yuan Ping (Neurocomputing, 2014)

ν-Nonparallel support vector machine for pattern classification. - Yingjie Tian 001; Qin Zhang 011; Dalian Liu (Neural Comput. Appl., 2014)

Towards Mining Trapezoidal Data Streams. - Qin Zhang 011; Peng Zhang 001; Guodong Long; Wei Ding 003; Chengqi Zhang; Xindong Wu 001 (ICDM, 2015)

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. - Qin Zhang 011; Jia Wu 001; Peng Zhang 001; Guodong Long; Ivor W. Tsang; Chengqi Zhang (ICDM, 2016)

Unsupervised Feature Learning from Time Series. - Qin Zhang 011; Jia Wu 001; Hong Yang 003; Yingjie Tian 001; Chengqi Zhang (IJCAI, 2016)

Query expansion for exploratory search with subtopic discovery in Community Question Answering. - Li Gao; Yao Lu; Qin Zhang 011; Hong Yang 003; Yue Hu 002 (IJCNN, 2016)

Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. - Qinzhe Zhang; Qin Zhang 011; Guodong Long; Peng Zhang 001; Chengqi Zhang (PAKDD (1), 2016)

Online Learning from Trapezoidal Data Streams. - Qin Zhang 011; Peng Zhang 001; Guodong Long; Wei Ding 003; Chengqi Zhang; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2016)

Dual influence embedded social recommendation. - Qinzhe Zhang; Jia Wu 001; Qin Zhang 011; Peng Zhang 001; Guodong Long; Chengqi Zhang (World Wide Web, 2018)

Dynamic implicit social recommendation - Qin Zhang 011 (2018)

LINEX Support Vector Machine for Large-Scale Classification. - Yue Ma 005; Qin Zhang 011; Dewei Li 002; Yingjie Tian 001 (IEEE Access, 2019)

Salient Subsequence Learning for Time Series Clustering. - Qin Zhang 011; Jia Wu 001; Peng Zhang 001; Guodong Long; Chengqi Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Time series feature learning with labeled and unlabeled data. - Haishuai Wang; Qin Zhang 011; Jia Wu 001; Shirui Pan; Yixin Chen 001 (Pattern Recognit., 2019)

On-demand Influencer Discovery on Social Media. - Cheng Zheng 004; Qin Zhang 011; Sean D. Young; Wei Wang 010 (CIKM, 2020)

Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention. - Cheng Zheng 004; Qin Zhang 011; Guodong Long; Chengqi Zhang; Sean D. Young; Wei Wang 010 (IEEE Access, 2020)

Deep Self-Adaptive Hashing for Image Retrieval. - Qinghong Lin; Xiaojun Chen 006; Qin Zhang 011; Shangxuan Tian; Yudong Chen (CIKM, 2021)

Anomaly detection in dynamic attributed networks. - Ruizhi Zhou; Qin Zhang 011; Peng Zhang 001; Lingfeng Niu; Xiaodong Lin 004 (Neural Comput. Appl., 2021)

Deep Unsupervised Hashing with Latent Semantic Components. - Qinghong Lin; Xiaojun Chen 006; Qin Zhang 011; Shaotian Cai; Wenzhe Zhao; Hongfa Wang (AAAI, 2022)

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. - Qin Zhang 011; Qincai Li; Xiaojun Chen 006; Peng Zhang 001; Shirui Pan; Philippe Fournier-Viger; Joshua Zhexue Huang (ICDM, 2022)

Brain EEG Time-Series Clustering Using Maximum-Weight Clique. - Chenglong Dai; Jia Wu 001; Dechang Pi; Stefanie I. Becker; Lin Cui 002; Qin Zhang 011; Blake W. Johnson (IEEE Trans. Cybern., 2022)

Semantic-Enhanced Image Clustering. - Shaotian Cai; Liping Qiu; Xiaojun Chen 006; Qin Zhang 011; Longteng Chen (AAAI, 2023)

A Survey for Efficient Open Domain Question Answering. - Qin Zhang 011; Shangsi Chen; Dongkuan Xu; Qingqing Cao; Xiaojun Chen 006; Trevor Cohn; Meng Fang (ACL (1), 2023)

Multi-modal Chinese Fake News Detection. - Wenxi Huang; Zhangyi Zhao; Xiaojun Chen 006; Mark Junjie Li; Qin Zhang 011; Philippe Fournier-Viger (ICDM (Workshops), 2023)

Adaptive Selection of BERT Layer for Multi-Label Text Classification. - Zhichao Chen; Han Liu 002; Qin Zhang 011 (ICMLC, 2023)

G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. - Qin Zhang 011; Zelin Shi; Xiaolin Zhang; Xiaojun Chen 006; Philippe Fournier-Viger; Shirui Pan (IJCAI, 2023)

Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network. - Junyang Chen 001; Jialong Wang; Zhijiang Dai; Huisi Wu; Mengzhu Wang; Qin Zhang 011; Huan Wang 005 (ACM Multimedia, 2023)

Interpolation Normalization for Contrast Domain Generalization. - Mengzhu Wang; Junyang Chen 001; Huan Wang 005; Huisi Wu; Zhidan Liu 001; Qin Zhang 011 (ACM Multimedia, 2023)

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. - Xin Zheng 008; Miao Zhang; Chunyang Chen 001; Qin Zhang 011; Chuan Zhou 001; Shirui Pan (WWW, 2023)

G2xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. - Qin Zhang 011; Zelin Shi; Xiaolin Zhang; Xiaojun Chen 006; Philippe Fournier-Viger; Shirui Pan (CoRR, 2023)

Improving long-tailed classification by disentangled variance transfer. - Yingjie Tian 001; Weizhi Gao; Qin Zhang 011; Pu Sun; Dongkuan Xu (Internet Things, 2023)

PSAC-PDB: Analysis and classification of protein structures. - M. Saqib Nawaz; Philippe Fournier-Viger; Yulin He; Qin Zhang 011 (Comput. Biol. Medicine, 2023)

Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering. - Qin Zhang 011; Shangsi Chen; Meng Fang; Xiaojun Chen 006 (Inf. Process. Manag., 2023)

Ethereum fraud behavior detection based on graph neural networks. - Runnan Tan; Qingfeng Tan; Qin Zhang 011; Peng Zhang 001; Yushun Xie; Zhao Li 007 (Computing, 2023)

Multi-Level Cross-Modal Alignment for Image Clustering. - Liping Qiu; Qin Zhang 011; Xiaojun Chen 006; Shaotian Cai (AAAI, 2024)

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. - Qin Zhang 011; Xiaowei Li; Jiexin Lu; Liping Qiu; Shirui Pan; Xiaojun Chen 006; Junyang Chen 001 (AAAI, 2024)

A Payment Transaction Pre-training Model for Fraud Transaction Detection. - Wenxi Huang; Zhangyi Zhao; Xiaojun Chen 006; Qin Zhang 011; Mark Junjie Li; Hanjing Su; Qingyao Wu (CIKM, 2024)

PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-Wise Hardness. - Siyao Jiang; Huisi Wu; Junyang Chen 001; Qin Zhang 011; Jing Qin 001 (CVPR, 2024)

Unsupervised Multiple Choices Question Answering Via Universal Corpus. - Qin Zhang 011; Hao Ge; Xiaojun Chen 006; Meng Fang (ICASSP, 2024)

CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection. - Qin Zhang 011; Jiexin Lu; Xiaowei Li; Huisi Wu; Shirui Pan; Junyang Chen 001 (IJCAI, 2024)

ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios. - Xiaojun Chen 006; Jimeng Lou; Wenxi Huang; Ting Wan; Qin Zhang 011; Min Yang 007 (ACM Multimedia, 2024)

EGonc : Energy-based Open-Set Node Classification with substitute Unknowns. - Qin Zhang 011; Zelin Shi; Shirui Pan; Junyang Chen 001; Huisi Wu; Xiaojun Chen 006 (NeurIPS, 2024)

Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning. - Man Wu; Xin Zheng 008; Qin Zhang 011; Xiao Shen 001; Xiong Luo; Xingquan Zhu 001; Shirui Pan (CoRR, 2024)

ROGPL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. - Qin Zhang 011; Xiaowei Li; Jiexin Lu; Liping Qiu; Shirui Pan; Xiaojun Chen 006; Junyang Chen 001 (CoRR, 2024)

Open-world structured sequence learning via dense target encoding. - Qin Zhang 011; Ziqi Liu; Qincai Li; Haolong Xiang; Zhizhi Yu; Junyang Chen 001; Peng Zhang 001; Xiaojun Chen 006 (Inf. Sci., 2024)

A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. - Xiaojun Chen 006; Ting Liu; Philippe Fournier-Viger; Bowen Zhang 005; Guodong Long; Qin Zhang 011 (Knowl. Based Syst., 2024)

End-to-end approach of multi-grained embedding of categorical features in tabular data. - Han Liu 002; Qianxi Qiu; Qin Zhang 011 (Inf. Process. Manag., 2024)

TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs. - Qin Zhang 011; Xiaowei Li; Ziqi Liu; Xiaochen Fan; Xiaojun Chen 006; Shirui Pan (AAAI, 2025)

CSC-PA: Cross-image Semantic Correlation via Prototype Attentions for Single-network Semi-supervised Breast Tumor Segmentation. - Zhenhui Ding; Guilian Chen; Qin Zhang 011; Huisi Wu; Jing Qin 001 (CVPR, 2025)

CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Qin Zhang 011; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD (1), 2025)

The Rise of Small Language Models. - Qin Zhang 011; Ziqi Liu; Shirui Pan (IEEE Intell. Syst., 2025)

Anomaly detection in attributed networks via local multi-order contrastive learning and global topology awareness. - Mark Junjie Li; Gen Zhao; Sunjie Huang; Qin Zhang 011; Jiang Liu; Meiting Li; Jun Li (Neurocomputing, 2025)

Unveiling user interests: A deep user interest exploration network for sequential location recommendation. - Junyang Chen 001; Jingcai Guo; Qin Zhang 011; Kaishun Wu; Liangjie Zhang; Victor C. M. Leung; Huan Wang 005; Zhiguo Gong (Inf. Sci., 2025)

Self Data Augmentation for Open Domain Question Answering. - Qin Zhang 011; Mengqi Zheng; Shangsi Chen; Han Liu 002; Meng Fang (ACM Trans. Inf. Syst., 2025)