Lintao Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
13
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs. | Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Lintao Ma, Xingyu Lu, Jun Zhou, Pengfei Liu, Jiancan Wu, Xiang Wang |
| 2026 | DASFAA | PAPT: Periodic-Aware Transformer with Polynomial Trend Fitting for General Time Series Forecasting. | Xiuyuan Wei, Jiadong Chen, Yuchen Fang, Yinbo Sun, Xiaofeng Gao, Lintao Ma, Guihai Chen |
| 2026 | ICDE | Tackling Workload Forecasting Challenges with an Offline-Online Dynamic Framework. | Jian Jiang, Yu Liu, Jia Li, Lu Han, Wei Lu, Qiwen Deng, Zhibo Zhu, Xingyu Lu, Lintao Ma |
| 2026 | WWW | Macro-Micro Collaborative Learning for Logical Data Center Microservice Indicators Forecasting. | Mohan Gao, Zhemeng Yu, Yang Luo, Lintao Ma, Yinbo Sun, Yuchen Fang, Xiaofeng Gao |
| 2025 | AAAI | Temporal Coherent Object Flow for Multi-Object Tracking. | Zikai Song, Run Luo, Lintao Ma, Ying Tang, Yi-Ping Phoebe Chen, Junqing Yu, Wei Yang |
| 2025 | ACL | Robust Preference Optimization via Dynamic Target Margins. | Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang |
| 2025 | DASFAA | CausalScaler: A Causality-Driven Autoscaling Framework for the Cloud. | Zhemeng Yu, Yang Luo, Yucen Gao, Yinbo Sun, Xiaofeng Gao, Lintao Ma, Guihai Chen |
| 2025 | EMNLP | LaMP-Val: Large Language Models Empower Personalized Valuation in Auction. | Jie Sun, Tianyu Zhang, Houcheng Jiang, Kexin Huang, Xiang Shu, Zhibo Zhu, Lintao Ma, Xingyu Lu, Jun Zhou, Junkang Wu, Chi Luo, An Zhang, Jiancan Wu, Xiang Wang |
| 2024 | AAAI | DiffusionTrack: Diffusion Model for Multi-Object Tracking. | Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang |
| 2024 | AAAI | 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 |
| 2024 | CIKM | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. | Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2023 | AAAI | 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 |
| 2023 | DASFAA | 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 |
| 2023 | IJCAI | 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 |
| 2022 | ICDM | 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 |
| 2022 | IJCAI | 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 |
| 2022 | KDD | 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 |
| 2021 | IJCNN | A Graph Regularized Point Process Model For Event Propagation Sequence. | Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang |
| 2019 | IJCNN | A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning. | Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi |
| 2016 | APWEB | A Context-Aware Method for Top-k Recommendation in Smart TV. | Peng Liu, Jun Ma, Yongjin Wang, Lintao Ma, Shanshan Huang |