itransformer: Inverted transformers are effective for time series forecasting Y Liu, T Hu, H Zhang, H Wu, S Wang, L Ma, M Long arXiv preprint arXiv:2310.06625, 2023 | 75 | 2023 |
Time-llm: Time series forecasting by reprogramming large language models M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ... arXiv preprint arXiv:2310.01728, 2023 | 71 | 2023 |
A hybrid feature selection algorithm: Combination of symmetrical uncertainty and genetic algorithms BN Jiang, X Ding, L Ma, Y He, T Wang, W Xie The second international symposium on optimization and systems biology, 152-157, 2008 | 64 | 2008 |
An unsupervised feature selection algorithm: Laplacian score combined with distance-based entropy measure R Liu, N Yang, X Ding, L Ma 2009 third international symposium on intelligent information technology …, 2009 | 52 | 2009 |
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud S Xue, C Qu, X Shi, C Liao, S Zhu, X Tan, L Ma, S Wang, S Wang, Y Hu, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 23 | 2022 |
Intelligent techniques for cigarette formula design TJ Feng, LT Ma, XQ Ding, N Yang, X Xiao Mathematics and Computers in Simulation 77 (5-6), 476-486, 2008 | 15 | 2008 |
A graph regularized point process model for event propagation sequence S Xue, X Shi, H Hao, L Ma, J Zhang, S Wang, S Wang 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 11 | 2021 |
End-to-end modeling of hierarchical time series using autoregressive transformer and conditional normalizing flow-based reconciliation S Wang, F Zhou, Y Sun, L Ma, J Zhang, Y Zheng 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1087-1094, 2022 | 6 | 2022 |
Genetic algorithm for optimization of tobacco-group formulas design HL Gong, XQ Ding, LT Ma The Proceedings of the Multiconference on" Computational Engineering in …, 2006 | 5 | 2006 |
SLOTH: structured learning and task-based optimization for time series forecasting on hierarchies F Zhou, C Pan, L Ma, Y Liu, S Wang, J Zhang, X Zhu, X Hu, Y Hu, Y Zheng, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11417 …, 2023 | 2 | 2023 |
Full scaling automation for sustainable development of green data centers S Wang, Y Sun, X Shi, S Zhu, LT Ma, J Zhang, Y Zheng, J Liu arXiv preprint arXiv:2305.00706, 2023 | 2 | 2023 |
Supervised Manifold Learning for NIR Modeling of Cigarette Brand Identification Y He, XQ Ding, LT Ma Advanced Materials Research 457, 1258-1263, 2012 | 2 | 2012 |
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting S Wang, H Wu, X Shi, T Hu, H Luo, L Ma, JY Zhang, JUN ZHOU The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
Memory Augmented State Space Model for Time Series Forecasting Y Sun, L Ma, Y Liu, S Wang, J Zhang, YF Zheng, H Yun, L Lei, Y Kang, ... Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 1 | 2022 |
Intelligent technology for correlation analysis of tar in tobacco LT Ma, XQ Ding, N Yang, HL Gong The Proceedings of the Multiconference on" Computational Engineering in …, 2006 | 1 | 2006 |
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data Y Yang, M Jin, H Wen, C Zhang, Y Liang, L Ma, Y Wang, C Liu, B Yang, ... arXiv preprint arXiv:2404.18886, 2024 | | 2024 |
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting F Zhou, C Pan, L Ma, Y Liu, S Xue, J Zhang, J Zhou, H Mei, W Lin, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9414-9421, 2024 | | 2024 |
GENERATIVE TIME SERIES LEARNING WITH TIME-FREQUENCY FUSED ENERGY-BASED MODEL Y Liu, L Ma, S Wang, Z Chu, W Ning, JY Zhang, JUN ZHOU | | 2023 |
Continuous Invariance Learning LIN Yong, F Zhou, L Tan, L Ma, J Liu, HE Yansu, Y Yuan, Y Liu, JY Zhang, ... The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Continuous Invariance Learning Y Lin, F Zhou, L Tan, L Ma, J Liu, Y He, Y Yuan, Y Liu, J Zhang, Y Yang, ... arXiv preprint arXiv:2310.05348, 2023 | | 2023 |