| 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 | 613 | 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, ... ICLR 2024, 2024 | 423 | 2024 |
| Timemixer: Decomposable multiscale mixing for time series forecasting S Wang, H Wu, X Shi, T Hu, H Luo, L Ma, JY Zhang, J Zhou ICLR 2024, 2024 | 134 | 2024 |
| Self-supervised learning for time series analysis: Taxonomy, progress, and prospects K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, J Zhang, Y Liang, G Pang, ... TPAMI Transactions on Pattern Analysis and Machine Intelligence, 2024 | 128 | 2024 |
| Large models for time series and spatio-temporal data: A survey and outlook M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang, J Zhang, Y Wang, ... arXiv preprint arXiv:2310.10196, 2023 | 113 | 2023 |
| A Lagrangean relaxation and subgradient framework for the routing and wavelength assignment problem in WDM networks Y Zhang, O Yang, H Liu IEEE Journal on Selected Areas in Communications 22 (9), 1752-1765, 2004 | 59 | 2004 |
| Enhancing recommender systems with large language model reasoning graphs Y Wang, Z Chu, X Ouyang, S Wang, H Hao, Y Shen, J Gu, S Xue, ... AAAI 2024, 2024 | 55 | 2024 |
| Leveraging large language models for pre-trained recommender systems Z Chu, H Hao, X Ouyang, S Wang, Y Wang, Y Shen, J Gu, Q Cui, L Li, ... arXiv preprint arXiv:2308.10837, 2023 | 48 | 2023 |
| Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning X Shi, S Xue, K Wang, F Zhou, JY Zhang, J Zhou, C Tan, H Mei NeurIPS 2023, 2023 | 43 | 2023 |
| 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, ... SIGKDD, 2022 | 42 | 2022 |
| Easytpp: Towards open benchmarking the temporal point processes S Xue, X Shi, Z Chu, Y Wang, F Zhou, H Hao, C Jiang, C Pan, Y Xu, ... ICLR 2024, 2024 | 39 | 2024 |
| HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences S Xue, X Shi, JY Zhang, H Mei NeurIPS, 2022 | 36 | 2022 |
| Prompt-augmented temporal point process for streaming event sequence S Xue, Y Wang, Z Chu, X Shi, C Jiang, H Hao, G Jiang, X Feng, JY Zhang, ... NEURIPS 2023, 2023 | 21 | 2023 |
| Optimization of semi-dynamic lightpath rearrangements in a wdm network JY Zhang, OWW Yang, J Wu, M Savoie IEEE Journal on Selected Areas in Communications 25 (9), 3-17, 2007 | 18 | 2007 |
| Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes C Qu, X Tan, S Xue, X Shi, J Zhang, H Mei AAAI, 2023 | 15 | 2023 |
| Weaverbird: Empowering financial decision-making with large language model, knowledge base, and search engine S Xue, F Zhou, Y Xu, M Jin, Q Wen, H Hao, Q Dai, C Jiang, H Zhao, S Xie, ... arXiv preprint arXiv:2308.05361, 2023 | 14 | 2023 |
| LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs Y Wang, Z Chu, X Ouyang, S Wang, H Hao, Y Shen, J Gu, S Xue, J Zhang, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19189 …, 2024 | 12 | 2024 |
| 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 Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation S Wang, F Zhou, Y Sun, L Ma, J Zhang, Y Zheng, L Lei, Y Hu ICDM + ICDMW, 2022 | 10 | 2022 |
| An integrated TDM architecture for AAPN networks AGP Rahbar, Y Zhang, O Yang, S Choudhury Photonic Applications in Devices and Communication Systems 5970, 727-734, 2005 | 9 | 2005 |
Qingsong Wen (文青松)Head of AI & Chief Scientist @ Squirrel AIE-mailová adresa ověřena na: gatech.edu
