Lintao Ma

According to our database, Lintao Ma authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making.

Yang Luo, Shiyu Wang, Zhemeng Yu, Wei Lu, Xiaofeng Gao, Lintao Ma, Guihai Chen

CoRR, 2024

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.

Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen

CoRR, 2024

Autogenic Language Embedding for Coherent Point Tracking.

Zikai Song, Ying Tang, Run Luo, Lintao Ma, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Continuous Invariance Learning.

Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.

Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DiffusionTrack: Diffusion Model for Multi-Object Tracking.

Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Continuous Invariance Learning.

Yong Lin, Fan Zhou, Lu Tan, Lintao Ma, Jiameng Liu, Yansu He, Yuan Yuan, Yu Liu, James Zhang, Yujiu Yang, Hao Wang

CoRR, 2023

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies.

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu

CoRR, 2023

Full Scaling Automation for Sustainable Development of Green Data Centers.

Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation.

Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lintao Ma, James Zhang, Yangfei Zheng

Proceedings of the Database Systems for Advanced Applications, 2023

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies.

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Hu Yun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation.

Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng, Lei Lei, Yun Hu

CoRR, 2022

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.

Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Memory Augmented State Space Model for Time Series Forecasting.

Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation.

Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

A Graph Regularized Point Process Model For Event Propagation Sequence.

Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning.

Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi

Proceedings of the International Joint Conference on Neural Networks, 2019

2016

A Context-Aware Method for Top-k Recommendation in Smart TV.

Peng Liu, Jun Ma, Yongjin Wang, Lintao Ma, Shanshan Huang

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016