MERL - Mitsubishi Electric Research Laboratories

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).

  • Internships with BinBin

    • OR2112: Time Series Analysis and Deep Learning

      MERL is looking for a self-motivated intern to develop algorithms for time series data analytics, system identification, and deep learning. The ideal candidate would be a senior PhD student with experience in one or more of the following areas: system identification, deep learning, mathematical optimization. Strong programming skills using Python/PyTorch are expected. Experience in developing heuristics for nonconvex optimization problems and building spatial-temporal prediction models would be a plus. The intern is expected to work with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is expected to be 3 months. Start date is flexible.

    See All Internships at MERL

  • MERL Publications

    •  Zhang, J., Nikovski, D., Kojima, T., "3T-Net: Transformer Encoders for Destination Prediction", The Chinese Control Conference, DOI: 10.23919/​CCC58697.2023.10240616, July 2023.
      BibTeX TR2023-094 PDF Presentation
      • @inproceedings{Zhang2023jul3,
      • author = {Zhang, Jing and Nikovski, Daniel and Kojima, Takuro},
      • title = {3T-Net: Transformer Encoders for Destination Prediction},
      • booktitle = {The Chinese Control Conference},
      • year = 2023,
      • month = jul,
      • doi = {10.23919/CCC58697.2023.10240616},
      • url = {https://www.merl.com/publications/TR2023-094}
      • }
    •  Zhang, J., Nikovski, D., Nakamura, T., "GPU-APUMPEDI: A Parallel Algorithm for Computing Approximate Pan Matrix Profiles of Time Series", International conference on Time Series and Forecasting, July 2023.
      BibTeX TR2023-091 PDF
      • @inproceedings{Zhang2023jul2,
      • author = {Zhang, Jing and Nikovski, Daniel and Nakamura, Takaaki},
      • title = {GPU-APUMPEDI: A Parallel Algorithm for Computing Approximate Pan Matrix Profiles of Time Series},
      • booktitle = {International conference on Time Series and Forecasting},
      • year = 2023,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2023-091}
      • }
    •  Sharma, A., Zhang, J., Nikovski, D., Doshi-Velez, F., "Travel-time prediction using neural-network-based mixture models", International Workshop on Statistical Methods and Artificial Intelligence, DOI: 10.1016/​j.procs.2023.03.144, March 2023.
      BibTeX TR2023-012 PDF
      • @inproceedings{Sharma2023mar,
      • author = {Sharma, Abhishek and Zhang, Jing and Nikovski, Daniel and Doshi-Velez, Finale},
      • title = {Travel-time prediction using neural-network-based mixture models},
      • booktitle = {International Workshop on Statistical Methods and Artificial Intelligence},
      • year = 2023,
      • month = mar,
      • doi = {10.1016/j.procs.2023.03.144},
      • url = {https://www.merl.com/publications/TR2023-012}
      • }
    •  Wang, Y., Zhang, J., Nikovski, D., Kojima, T., "Estimating Traffic Density Using Transformer Decoders", International Workshop on Statistical Methods and Artificial Intelligence, DOI: 10.1016/​j.procs.2023.03.143, March 2023.
      BibTeX TR2023-011 PDF
      • @inproceedings{Wang2023mar,
      • author = {Wang, Yinsong and Zhang, Jing and Nikovski, Daniel and Kojima, Takuro},
      • title = {Estimating Traffic Density Using Transformer Decoders},
      • booktitle = {International Workshop on Statistical Methods and Artificial Intelligence},
      • year = 2023,
      • month = mar,
      • doi = {10.1016/j.procs.2023.03.143},
      • url = {https://www.merl.com/publications/TR2023-011}
      • }
    •  Tsiligkaridis, A., Zhang, J., Paschalidis, I.C., Taguchi, H., Sakajo, S., Nikovski, D.N., "Context-Aware Destination and Time-To-Destination Prediction Using Machine Learning", IEEE International Smart Cities Conference, DOI: 10.1109/​ISC255366.2022.9922593, September 2022.
      BibTeX TR2022-120 PDF
      • @inproceedings{Tsiligkaridis2022sep,
      • author = {Tsiligkaridis, Athanasios and Zhang, Jing and Paschalidis, Ioannis Ch. and Taguchi, Hiroshi and Sakajo, Satoko and Nikovski, Daniel N.},
      • title = {Context-Aware Destination and Time-To-Destination Prediction Using Machine Learning},
      • booktitle = {IEEE International Smart Cities Conference},
      • year = 2022,
      • month = sep,
      • doi = {10.1109/ISC255366.2022.9922593},
      • url = {https://www.merl.com/publications/TR2022-120}
      • }
    See All Publications for BinBin

  • 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}
      • }

  • MERL Issued Patents

    • Title: "System Control Based on Time-Series Data Analysis"
      Inventors: Zhang, Jing; Nikovski, Daniel N.
      Patent No.: 11,599,104
      Issue Date: Mar 7, 2023
    • Title: "System and Method for Anomaly Detection in Time-Varying System Operations"
      Inventors: Zhang, Jing; Nikovski, Daniel N.
      Patent No.: 11,353,859
      Issue Date: Jun 7, 2022
    See All Patents for MERL