| 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 | 106 | 2024 |
| 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 | 84 | 2024 |
| 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 | 53 | 2021 |
| 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 | 47 | 2022 |
| 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 | 42 | 2023 |
| 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 | 37* | 2023 |
| 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 | 35 | 2022 |
| 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 | 29 | 2018 |
| 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 | 19 | 2021 |
| Mix2vec: Unsupervised mixed data representation C Zhu, Q Zhang, L Cao, A Abrahamyan 2020 IEEE 7th International Conference on Data Science and Advanced …, 2020 | 15 | 2020 |
| 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 | 14 | 2021 |
| 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 | 12 | 2024 |
| 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 | 12 | 2022 |
| 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 | 12 | 2021 |
| 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 IEEE Transactions on Knowledge and Data Engineering, 2023 | 10 | 2023 |
| 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 | 9 | 2023 |
| 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 | 8 | 2023 |
| 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 | 8 | 2023 |
| Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting W Fan, K Yi, H Ye, Z Ning, Q Zhang, N An arXiv preprint arXiv:2407.00502, 2024 | 7 | 2024 |
| Distributional drift adaptation with temporal conditional variational autoencoder for multivariate time series forecasting H He, Q Zhang, K Yi, K Shi, Z Niu, L Cao IEEE Transactions on Neural Networks and Learning Systems, 2024 | 7 | 2024 |
Liang HuTongji University & Deepblue Academy of SciencesVerified email at tongji.edu.cn
