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Ming Jin

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Joint Optimization for Achieving Covertness in MIMO Over-the-Air Computation Networks

Mar 15, 2024
Junteng Yao, Tuo Wu, Ming Jin, Cunhua Pan, Quanzhong Li, Jinhong Yuan

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TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning

Mar 13, 2024
Shangding Gu, Alois Knoll, Ming Jin

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Exploring Fairness for FAS-assisted Communication Systems: from NOMA to OMA

Mar 01, 2024
Junteng Yao, Liaoshi Zhou, Tuo Wu, Ming Jin, Cunhua Pan, Maged Elkashlan, Kai-Kit Wong

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Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective

Feb 18, 2024
Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang

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The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes

Feb 14, 2024
Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia

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Position Paper: What Can Large Language Models Tell Us about Time Series Analysis

Feb 05, 2024
Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen

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Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values

Jan 11, 2024
Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Haishuai Wang, Khoa T. Phan, Yi-Ping Phoebe Chen, Shirui Pan, Wei Xiang

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HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting

Jan 10, 2024
Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang

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Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space

Jan 02, 2024
Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin

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Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Oct 20, 2023
Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong

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