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Qi Zhang
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Neural time-aware sequential recommendation by jointly modeling preference dynamics and explicit feature couplings
Q Zhang, L Cao, C Shi, Z Niu
IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5125-5137, 2021
472021
HCBC: A hierarchical case-based classifier integrated with conceptual clustering
Q Zhang, C Shi, Z Niu, L Cao
IEEE Transactions on Knowledge and Data Engineering 31 (1), 152-165, 2018
262018
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
S Wang, Q Zhang, L Hu, X Zhang, Y Wang, C Aggarwal
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
232022
CATN: Cross attentive tree-aware network for multivariate time series forecasting
H He, Q Zhang, S Bai, K Yi, Z Niu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4030-4038, 2022
212022
PFEMed: Few-shot medical image classification using prior guided feature enhancement
Z Dai, J Yi, L Yan, Q Xu, L Hu, Q Zhang, J Li, G Wang
Pattern Recognition 134, 109108, 2023
202023
A survey on deep learning based time series analysis with frequency transformation
K Yi, Q Zhang, L Cao, S Wang, G Long, L Hu, H He, Z Niu, W Fan, ...
CoRR, abs/2302.02173, 2023
18*2023
Frequency-domain MLPs are more effective learners in time series forecasting
K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, N An, D Lian, L Cao, Z Niu
Advances in Neural Information Processing Systems 36, 2024
162024
Hierarchical social similarity-guided model with dual-mode attention for session-based recommendation
C Feng, C Shi, S Hao, Q Zhang, X Jiang, D Yu
Knowledge-Based Systems 230, 107380, 2021
162021
FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective
K Yi, Q Zhang, W Fan, H He, L Hu, P Wang, N An, L Cao, Z Niu
Advances in Neural Information Processing Systems 36, 2024
13*2024
Context-aware item attraction model for session-based recommendation
C Feng, C Shi, C Liu, Q Zhang, S Hao, X Jiang
Expert Systems with Applications 176, 114834, 2021
112021
Tripartite Collaborative Filtering with Observability and Selection for Debiased Rating Estimation on Missing-Not-at-Random Data
Q Zhang, L Cao, C Shi, L Hu
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 35 (5 …, 2021
112021
Mix2vec: Unsupervised mixed data representation
C Zhu, Q Zhang, L Cao, A Abrahamyan
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
112020
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing
Q Zhang, L Hu, L Cao, C Shi, S Wang, DD Liu
Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022
102022
Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System
T Ye, L Hu, Q Zhang, ZY Lai, U Naseem, DD Liu
Proceedings of the ACM Web Conference 2023, 1172-1180, 2023
62023
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective
H He, Q Zhang, S Wang, K Yi, Z Niu, L Cao
arXiv preprint arXiv:2301.11535, 2023
62023
Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees
Q Zhang, Y Yang, C Shi, A Lao, L Hu, S Wang, U Naseem
IEEE Transactions on Neural Networks and Learning Systems, 2023
52023
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
A Lao, Q Zhang, C Shi, L Cao, K Yi, L Hu, D Miao
Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18426 …, 2024
32024
Tutorials at The Web Conference 2023
V Fionda, O Hartig, R Abdolazimi, S Amer-Yahia, H Chen, X Chen, P Cui, ...
Companion Proceedings of the ACM Web Conference 2023, 648-658, 2023
32023
Temporal Conditional VAE for Distributional Drift Adaptation in Multivariate Time Series
H He, Q Zhang, K Yi, K Shi, S Bai, Z Niu, L Cao
arXiv e-prints, arXiv: 2209.00654, 2022
3*2022
Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis
X Jiang, Q Zhang, C Shi
2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022
32022
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