Lintao Ma

45 papers A* 13A 1B 2Journal 24Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
ACM Comput. Surv.
Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026 J jnl
EMLF-Net: A multi-level feature fusion network based on autism EEG signals for autism spectrum disorder classification.
Biomed. Signal Process. Control.
Lijuan Shi, Lintao Ma, Jian Zhao, Haiyan Wang, Zhejun Kuang, Qiulei Han, Lei Sun
2026 A* conf
Macro-Micro Collaborative Learning for Logical Data Center Microservice Indicators Forecasting.
WWW
Mohan Gao, Zhemeng Yu, Yang Luo, Lintao Ma, Yinbo Sun, Yuchen Fang, Xiaofeng Gao
2026 J jnl
TableCache: Primary Foreign Key Guided KV Cache Precomputation for Low Latency Text-to-SQL.
CoRR
Jinbo Su, Yuxuan Hu, Cuiping Li, Hong Chen, Jia Li, Lintao Ma, Jing Zhang
2025 J jnl
Kairos: Towards Adaptive and Generalizable Time Series Foundation Models.
CoRR
Kun Feng, Shaocheng Lan, Yuchen Fang, Wenchao He, Lintao Ma, Xingyu Lu, Kan Ren
2025 — conf
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction.
EMNLP (Findings)
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
2025 J jnl
Network Traffic Prediction Model Based on Convolutional Neural Networks-Long Short-Term Memory and iTransformer.
Internet Technol. Lett.
Mingju Gong, Hanwen Cui, Shaomin Jing, Jiabin Huang, Lintao Ma, Yining Wang, Wei Xu
2025 — conf
Robust Preference Optimization via Dynamic Target Margins.
ACL (Findings)
Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025 J jnl
Robust Preference Optimization via Dynamic Target Margins.
CoRR
Jie Sun, Junkang Wu, Jiancan Wu, Zhibo Zhu, Xingyu Lu, Jun Zhou, Lintao Ma, Xiang Wang
2025 J jnl
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster.
CoRR
Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song
2025 A* conf
Temporal Coherent Object Flow for Multi-Object Tracking.
AAAI
Zikai Song, Run Luo, Lintao Ma, Ying Tang, Yi-Ping Phoebe Chen, Junqing Yu, Wei Yang
2025 J jnl
UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting.
CoRR
Lu Han, Yu Liu, Qiwen Deng, Jian Jiang, Yinbo Sun, Zhe Yu, Binfeng Wang, Xingyu Lu, Lintao Ma, Han-Jia Ye, De-Chuan Zhan
2025 J jnl
Xihe: Scalable Zero-Shot Time Series Learner Via Hierarchical Interleaved Block Attention.
CoRR
Yinbo Sun, Yuchen Fang, Zhibo Zhu, Jia Li, Yu Liu, Qiwen Deng, Jun Zhou, Hang Yu, Xingyu Lu, Lintao Ma
2024 J jnl
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
CoRR
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
2024 J jnl
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making.
CoRR
Yang Luo, Shiyu Wang, Zhemeng Yu, Wei Lu, Xiaofeng Gao, Lintao Ma, Guihai Chen
2024 A* conf
Autogenic Language Embedding for Coherent Point Tracking.
ACM Multimedia
Zikai Song, Ying Tang, Run Luo, Lintao Ma, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang
2024 J jnl
Autogenic Language Embedding for Coherent Point Tracking.
CoRR
Zikai Song, Ying Tang, Run Luo, Lintao Ma, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang
2024 A* conf
Continuous Invariance Learning.
ICLR
Lin Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu, Yansu He, Yuan Yuan, Yu Liu, James Y. Zhang, Yujiu Yang, Hao Wang
2024 A* conf
DiffusionTrack: Diffusion Model for Multi-Object Tracking.
AAAI
Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang
2024 A* conf
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
AAAI
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 J jnl
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.
CoRR
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu, Siqiao Xue
2024 A conf
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.
CIKM
Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou
2024 J jnl
Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.
CoRR
Shiyu Wang, Zhixuan Chu, Yinbo Sun, Yu Liu, Yuliang Guo, Yang Chen, Huiyang Jian, Lintao Ma, Xingyu Lu, Jun Zhou
2024 A* conf
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
ICLR
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 A* conf
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.
ICLR
Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2024 J jnl
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.
CoRR
Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2024 A* conf
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.
ICLR
Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2023 J jnl
Continuous Invariance Learning.
CoRR
Yong Lin, Fan Zhou, Lu Tan, Lintao Ma, Jiameng Liu, Yansu He, Yuan Yuan, Yu Liu, James Zhang, Yujiu Yang, Hao Wang
2023 J jnl
DiffusionTrack: Diffusion Model For Multi-Object Tracking.
CoRR
Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang
2023 — conf
Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation.
DASFAA (1)
Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lintao Ma, James Zhang, Yangfei Zheng
2023 A* conf
Full Scaling Automation for Sustainable Development of Green Data Centers.
IJCAI
Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian
2023 A* conf
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies.
AAAI
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 J jnl
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies.
CoRR
Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Shiyu Wang, James Zhang, Xinxin Zhu, Xuanwei Hu, Yunhua Hu, Yangfei Zheng, Lei Lei, Yun Hu
2023 J jnl
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
CoRR
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
2023 J jnl
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.
CoRR
Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2022 J jnl
A Graph Regularized Point Process Model For Event Propagation Sequence.
CoRR
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang
2022 A* conf
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
KDD
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
2022 J jnl
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
CoRR
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
2022 J jnl
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation.
CoRR
Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng, Lei Lei, Yun Hu
2022 — conf
End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation.
ICDM (Workshops)
Shiyu Wang, Fan Zhou, Yinbo Sun, Lintao Ma, James Zhang, Yangfei Zheng
2022 A* conf
Memory Augmented State Space Model for Time Series Forecasting.
IJCAI
Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye
2021 B conf
A Graph Regularized Point Process Model For Event Propagation Sequence.
IJCNN
Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang
2020 J jnl
A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning.
CoRR
Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi
2019 B conf
A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning.
IJCNN
Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi
2016 — conf
A Context-Aware Method for Top-k Recommendation in Smart TV.
APWeb (2)
Peng Liu, Jun Ma, Yongjin Wang, Lintao Ma, Shanshan Huang