A Context-Aware Method for Top-k Recommendation in Smart TV. - Peng Liu; Jun Ma 001; Yongjin Wang; Lintao Ma; Shanshan Huang 003 (APWeb (2), 2016)

A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning. - Shijun Wang; Baocheng Zhu; Lintao Ma; Yuan Qi (IJCNN, 2019)

A Graph Regularized Point Process Model For Event Propagation Sequence. - Siqiao Xue; Xiaoming Shi 001; Hongyan Hao; Lintao Ma; James Zhang; Shiyu Wang 001; Shijun Wang (IJCNN, 2021)

End-to-End Modeling of Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow-based Reconciliation. - Shiyu Wang 001; Fan Zhou 012; Yinbo Sun; Lintao Ma; James Zhang; Yangfei Zheng (ICDM (Workshops), 2022)

Memory Augmented State Space Model for Time Series Forecasting. - Yinbo Sun; Lintao Ma; Yu Liu 071; Shijun Wang; James Zhang; Yangfei Zheng; Hu Yun; Lei Lei 001; Yulin Kang; Llinbao Ye (IJCAI, 2022)

A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. - Siqiao Xue; Chao Qu; Xiaoming Shi 001; Cong Liao; Shiyi Zhu; Xiaoyu Tan; Lintao Ma; Shiyu Wang 001; Shijun Wang; Yun Hu 001; Lei Lei 001; Yangfei Zheng; et al. (KDD, 2022)

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation. - Shiyu Wang 001; Fan Zhou 012; Yinbo Sun; Lintao Ma; James Zhang; Yangfei Zheng; Lei Lei 001; Yun Hu 001 (CoRR, 2022)

SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Shiyu Wang 001; James Zhang; Xinxin Zhu; Xuanwei Hu; Yunhua Hu; Yangfei Zheng; Lei Lei 001; Hu Yun (AAAI, 2023)

Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation. - Shiyu Wang 001; Yinbo Sun; Yan Wang 002; Fan Zhou 012; Lintao Ma; James Zhang; Yangfei Zheng (DASFAA (1), 2023)

Full Scaling Automation for Sustainable Development of Green Data Centers. - Shiyu Wang 001; Yinbo Sun; Xiaoming Shi 001; Shiyi Zhu; Lintao Ma; James Zhang; Yangfei Zheng; Liu Jian (IJCAI, 2023)

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Shiyu Wang 001; James Zhang; Xinxin Zhu; Xuanwei Hu; Yunhua Hu; Yangfei Zheng; Lei Lei 001; Yun Hu 001 (CoRR, 2023)

Continuous Invariance Learning. - Yong Lin; Fan Zhou 012; Lu Tan; Lintao Ma; Jiameng Liu; Yansu He; Yuan Yuan; Yu Liu 071; James Zhang; Yujiu Yang; Hao Wang 014 (CoRR, 2023)

DiffusionTrack: Diffusion Model for Multi-Object Tracking. - Run Luo; Zikai Song; Lintao Ma; Jinlin Wei; Wei Yang 034; Min Yang 007 (AAAI, 2024)

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. - Fan Zhou 012; Chen Pan; Lintao Ma; Yu Liu 071; Siqiao Xue; James Y. Zhang; Jun Zhou 011; Hongyuan Mei; Weitao Lin; Zi Zhuang; Wenxin Ning; Yunhua Hu (AAAI, 2024)

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. - Shiyu Wang 001; Zhixuan Chu; Yinbo Sun; Yu Liu 071; Yuliang Guo; Yang Chen; Huiyang Jian; Lintao Ma; Xingyu Lu; Jun Zhou 011 (CIKM, 2024)

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. - Ming Jin 005; Shiyu Wang 001; Lintao Ma; Zhixuan Chu; James Y. Zhang; Xiaoming Shi 001; Pin-Yu Chen; Yuxuan Liang; Yuan-Fang Li; Shirui Pan; Qingsong Wen (ICLR, 2024)

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. - Yong Liu; Tengge Hu; Haoran Zhang; Haixu Wu; Shiyu Wang 001; Lintao Ma; Mingsheng Long (ICLR, 2024)

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. - Shiyu Wang 001; Haixu Wu; Xiaoming Shi 001; Tengge Hu; Huakun Luo; Lintao Ma; James Y. Zhang; Jun Zhou 011 (ICLR, 2024)

Continuous Invariance Learning. - Lin Yong; Fan Zhou 012; Lu Tan; Lintao Ma; Jianmeng Liu; Yansu He; Yuan Yuan; Yu Liu 071; James Y. Zhang; Yujiu Yang; Hao Wang 014 (ICLR, 2024)

Autogenic Language Embedding for Coherent Point Tracking. - Zikai Song; Ying Tang; Run Luo; Lintao Ma; Junqing Yu; Yi-Ping Phoebe Chen; Wei Yang 034 (ACM Multimedia, 2024)

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. - Yiyuan Yang; Ming Jin 005; Haomin Wen; Chaoli Zhang 001; Yuxuan Liang; Lintao Ma; Yi Wang 022; Chenghao Liu; Bin Yang 002; Zenglin Xu; Jiang Bian 001; Shirui Pan; et al. (CoRR, 2024)

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making. - Yang Luo; Shiyu Wang 001; Zhemeng Yu; Wei Lu; Xiaofeng Gao 001; Lintao Ma; Guihai Chen (CoRR, 2024)

Temporal Coherent Object Flow for Multi-Object Tracking. - Zikai Song; Run Luo; Lintao Ma; Ying Tang; Yi-Ping Phoebe Chen; Junqing Yu; Wei Yang 034 (AAAI, 2025)

Robust Preference Optimization via Dynamic Target Margins. - Jie Sun 030; Junkang Wu; Jiancan Wu; Zhibo Zhu; Xingyu Lu; Jun Zhou 011; Lintao Ma; Xiang Wang 010 (ACL (Findings), 2025)

TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster. - Kanghui Ning; Zijie Pan; Yu Liu; Yushan Jiang; James Y. Zhang; Kashif Rasul; Anderson Schneider; Lintao Ma; Yuriy Nevmyvaka; Dongjin Song (CoRR, 2025)

UniCA: Adapting Time Series Foundation Model to General Covariate-Aware Forecasting. - Lu Han; Yu Liu 015; Qiwen Deng; Jian Jiang; Yinbo Sun; Zhe Yu; Binfeng Wang; Xingyu Lu; Lintao Ma; Han-Jia Ye; De-Chuan Zhan (CoRR, 2025)