MERL - Mitsubishi Electric Research Laboratories

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Jing Zhang

Jing Zhang
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  • Biography

    Jing's PhD dissertation was on detection and optimization problems with applications in transportation systems. His research interests include anomaly detection, optimization, machine learning, and time series analysis. He was a recipient of the Boston Area Research Initiative (BARI) Research Seed Grant Award (Spring 2017).

  • Recent News & Events

  • MERL Publications

    •  Tsiligkaridis, A., Zhang, J., Taguchi, H., Nikovski, D.N., "Personalized Destination Prediction Using Transformers in a Contextless Data Setting", IEEE World Congress on Computational Intelligence (WCCI), July 2020.
      BibTeX TR2020-112 PDF
      • @inproceedings{Tsiligkaridis2020jul,
      • author = {Tsiligkaridis, Athanasios and Zhang, Jing and Taguchi, Hiroshi and Nikovski, Daniel N.},
      • title = {Personalized Destination Prediction Using Transformers in a Contextless Data Setting},
      • booktitle = {IEEE World Congress on Computational Intelligence (WCCI)},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-112}
      • }
    •  Wollenstein, S., Sun, C., Zhang, J., Paschalidis, I., "Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC40024.2019.9029445, December 2019, pp. 5113-5118.
      BibTeX TR2019-144 PDF
      • @inproceedings{Wollenstein2019dec,
      • author = {Wollenstein, Salomón and Sun, Chuangchuang and Zhang, Jing and Paschalidis, Ioannis},
      • title = {Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2019,
      • pages = {5113--5118},
      • month = dec,
      • doi = {10.1109/CDC40024.2019.9029445},
      • url = {https://www.merl.com/publications/TR2019-144}
      • }
    •  Zhang, J., Nikovski, D.N., Lee, T.-Y., Fujino, T., "Fault Detection and Classification of Time Series Using Localized Matrix Profiles", IEEE International Conference on Prognostics and Health Management, DOI: 10.1109/ICPHM.2019.8819389, June 2019.
      BibTeX TR2019-057 PDF
      • @inproceedings{Zhang2019jun,
      • author = {Zhang, Jing and Nikovski, Daniel N. and Lee, Teng-Yok and Fujino, Tomoya},
      • title = {Fault Detection and Classification of Time Series Using Localized Matrix Profiles},
      • booktitle = {IEEE International Conference on Prognostics and Health Management},
      • year = 2019,
      • month = jun,
      • doi = {10.1109/ICPHM.2019.8819389},
      • url = {https://www.merl.com/publications/TR2019-057}
      • }

  • Other Publications

    •  Jing Zhang and Ioannis Ch Paschalidis, "Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks", arXiv, 2017.
      BibTeX
      • @Article{zhang2017data1,
      • author = {Zhang, Jing and Paschalidis, Ioannis Ch},
      • title = {Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks},
      • journal = {arXiv},
      • year = 2017
      • }
    •  Jing Zhang, Sepideh Pourazarm, Christos G Cassandras and Ioannis Ch Paschalidis, "Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks", IFAC-PapersOnLine, Vol. 50, No. 1, pp. 9680-9685, 2017.
      BibTeX
      • @Article{zhang2017data2,
      • author = {Zhang, Jing and Pourazarm, Sepideh and Cassandras, Christos G and Paschalidis, Ioannis Ch},
      • title = {Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks},
      • journal = {IFAC-PapersOnLine},
      • year = 2017,
      • volume = 50,
      • number = 1,
      • pages = {9680--9685},
      • publisher = {Elsevier}
      • }
    •  Jing Zhang and Ioannis Ch Paschalidis, "Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models", arXiv, 2017.
      BibTeX
      • @Article{zhang2017statistical,
      • author = {Zhang, Jing and Paschalidis, Ioannis Ch},
      • title = {Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models},
      • journal = {arXiv},
      • year = 2017
      • }
    •  Jing Zhang, Sepideh Pourazarm, Christos G Cassandras and Ioannis Ch Paschalidis, "The price of anarchy in transportation networks by estimating user cost functions from actual traffic data", Decision and Control (CDC), 2016 IEEE 55th Conference on, 2016, pp. 789-794.
      BibTeX
      • @Inproceedings{zhang2016price,
      • author = {Zhang, Jing and Pourazarm, Sepideh and Cassandras, Christos G and Paschalidis, Ioannis Ch},
      • title = {The price of anarchy in transportation networks by estimating user cost functions from actual traffic data},
      • booktitle = {Decision and Control (CDC), 2016 IEEE 55th Conference on},
      • year = 2016,
      • pages = {789--794},
      • organization = {IEEE}
      • }
    •  Jing Zhang and Ioannis Ch Paschalidis, "An improved composite hypothesis test for Markov models with applications in network anomaly detection", Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, 2015, pp. 3810-3815.
      BibTeX
      • @Inproceedings{zhang2015improved,
      • author = {Zhang, Jing and Paschalidis, Ioannis Ch},
      • title = {An improved composite hypothesis test for Markov models with applications in network anomaly detection},
      • booktitle = {Decision and Control (CDC), 2015 IEEE 54th Annual Conference on},
      • year = 2015,
      • pages = {3810--3815},
      • organization = {IEEE}
      • }