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Jinliang Deng
Jinliang Deng
在 ust.hk 的电子邮件经过验证
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Dl-traff: Survey and benchmark of deep learning models for urban traffic prediction
R Jiang, D Yin, Z Wang, Y Wang, J Deng, H Liu, Z Cai, J Deng, X Song, ...
Proceedings of the 30th ACM international conference on information …, 2021
1302021
St-norm: Spatial and temporal normalization for multi-variate time series forecasting
J Deng, X Chen, R Jiang, X Song, IW Tsang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
1142021
Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting
H Liu, Z Dong, R Jiang, J Deng, J Deng, Q Chen, X Song
Proceedings of the 32nd ACM international conference on information and …, 2023
682023
A multi-view multi-task learning framework for multi-variate time series forecasting
J Deng, X Chen, R Jiang, X Song, IW Tsang
IEEE Transactions on Knowledge and Data Engineering 35 (8), 7665-7680, 2022
272022
The pulse of urban transport: Exploring the co-evolving pattern for spatio-temporal forecasting
J Deng, X Chen, Z Fan, R Jiang, X Song, IW Tsang
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (6), 1-25, 2021
232021
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation
Y Li, Z Fan, D Yin, R Jiang, J Deng, X Song
World Wide Web 26 (4), 1625-1648, 2023
172023
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
X Chen, Y Zhang, J Deng, JY Jiang, W Wang
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023
132023
Heterogeneous hypergraph neural network for friend recommendation with human mobility
Y Li, Z Fan, J Zhang, D Shi, T Xu, D Yin, J Deng, X Song
Proceedings of the 31st ACM International Conference on Information …, 2022
112022
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
J Deng, X Chen, R Jiang, D Yin, Y Yang, X Song, IW Tsang
IEEE Transactions on Knowledge and Data Engineering, 0
11*
Spatio-Temporal-Decoupled Masked Pre-training for Traffic Forecasting
H Gao, R Jiang, Z Dong, J Deng, X Song
arXiv preprint arXiv:2312.00516, 2023
52023
TTS-norm: Forecasting tensor time series via multi-way normalization
J Deng, J Deng, D Yin, R Jiang, X Song
ACM Transactions on Knowledge Discovery from Data 18 (1), 1-25, 2023
42023
Learning Gaussian mixture representations for tensor time series forecasting
J Deng, J Deng, R Jiang, X Song
arXiv preprint arXiv:2306.00390, 2023
32023
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting
J Deng, F Ye, Y Du, X Song, IW Tsang, H Xiong
arXiv preprint arXiv:2401.11929, 2024
2*2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
Z Dong, R Jiang, H Gao, H Liu, J Deng, Q Wen, X Song
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
D Yin, J Deng, S Ao, Z Li, H Xue, A Prabowo, R Jiang, X Song, F Salim
arXiv preprint arXiv:2406.12709, 2024
2024
Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning
L Liu, S Wang, Y Liu, J Deng, S Liu
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 227-237, 2023
2023
Towards Adaptive, Scalable and Interpretable Spatial-Temporal Forecasting
J Deng
2023
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