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Ming Jin

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance

Dec 04, 2022
Vanshaj Khattar, Ming Jin

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Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design

Nov 19, 2022
Yuhao Ding, Ming Jin, Javad Lavaei

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* 33 pages,3 figures, AAAI 2023. arXiv admin note: text overlap with arXiv:2111.03947, arXiv:2102.05406 by other authors

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Variational Bayesian Inference Clustering Based Joint User Activity and Data Detection for Grant-Free Random Access in mMTC

Oct 25, 2022
Zhaoji Zhang, Qinghua Guo, Ying Li, Ming Jin, Chongwen Huang

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* 10 pages, 5 figures, submitted to Internet-of-Things Journal

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How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Oct 12, 2022
Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia

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* 13 pages of the main text

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Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

Feb 17, 2022
Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan

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* 14 pages, 6 figures, 5 tables

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From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach

Feb 11, 2022
Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen

* 13 pages, 5 figures, 5 tables

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