| 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 | 53 | 2023 |
| Temporal convolutional attention-based network for sequence modeling H Hao, Y Wang, S Xue, Y Xia, J Zhao, F Shen arXiv preprint arXiv:2002.12530, 2020 | 46 | 2020 |
| 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 | 33* | 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 | 27 | 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, ... KDD 2022, 2022 | 26 | 2022 |
| HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences S Xue, X Shi, JY Zhang, H Mei NeurIPS 2022, 2022 | 22 | 2022 |
| 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 | 20 | 2023 |
| EasyTPP: Towards open benchmarking temporal point processes S Xue, X Shi, Z Chu, Y Wang, F Zhou, H Hao, C Jiang, C Pan, Y Xu, ... ICLR 2024, 2023 | 17 | 2023 |
| DB-GPT: Empowering Database Interactions with Private Large Language Models S Xue, C Jiang, W Shi, F Cheng, K Chen, H Yang, Z Zhang, J He, ... arXiv preprint arXiv:2312.17449, 2023 | 14 | 2023 |
| 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, 2022 | 14 | 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 | 12 | 2023 |
| 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 |
| WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine HM Siqiao Xue, Fan Zhou, Yi Xu, Ming Jin, Qingsong Wen, Qingyang Dai,... arXiv preprint arXiv:2308.05361, 2023 | 7 | 2023 |
| Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt G Jiang, C Jiang, S Xue, JY Zhang, J Zhou, D Lian, Y Wei Findings of EMNLP 2023, 2023 | 5 | 2023 |
| Continual Learning in Predictive Autoscaling H Hao, Z Chu, S Zhu, G Jiang, Y Wang, C Jiang, J Zhang, W Jiang, S Xue, ... CIKM 2023, 2023 | 4 | 2023 |
| Learning Large-scale Universal User Representation with Sparse Mixture of Experts C Jiang, S Xue, J Zhang, L Liu, Z Zhu, H Hao ICML 2022 Workshop on Pre-training, 2022 | 4 | 2022 |
| Enhancing Event Sequence Modeling with Contrastive Relational Inference Y Wang, Z Chu, T Zhou, C Jiang, H Hao, M Zhu, X Cai, Q Cui, L Li, ... ICASSP 2024, 2023 | 3 | 2023 |
| Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models Z Chu, L Zhang, Y Sun, S Xue, Z Wang, Z Qin, K Ren arXiv preprint arXiv:2405.04180, 2024 | 2 | 2024 |
| Deep Optimal Timing Strategies for Time Series C Pan, F Zhou, X Hu, X Zhu, W Ning, Z Zhuang, S Xue, J Zhang, Y Hu ICDM 2023 Workshop-AI4TS, 2023 | 2 | 2023 |
| Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction S Xiao, C Pan, M Wang, X Zhu, S Xue, J Wang, Y Hu, J Zhang, J Feng arXiv preprint arXiv:2306.10083, 2023 | 2 | 2023 |
