Jing Zhang

According to our database, Jing Zhang authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Estimating traffic density using transformer decoders.

Yinsong Wang, Jing Zhang, Daniel Nikovski, Takuro Kojima

Proceedings of the 14th International Conference on Ambient Systems, 2023

Travel-time prediction using neural-network-based mixture models.

Abhishek Sharma, Jing Zhang, Daniel Nikovski, Finale Doshi-Velez

Proceedings of the 14th International Conference on Ambient Systems, 2023

2022

Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks.

Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis

IEEE Trans. Control. Netw. Syst., 2022

Context-Aware Destination and Time-To-Destination Prediction Using Machine learning.

Athanasios Tsiligkaridis, Jing Zhang, Ioannis Ch. Paschalidis, Hiroshi Taguchi, Satoko Sakajo, Daniel Nikovski

Proceedings of the IEEE International Smart Cities Conference, 2022

Transformer Networks for Predictive Group Elevator Control.

Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski

Proceedings of the European Control Conference, 2022

2020

Personalized Destination Prediction Using Transformers in a Contextless Data Setting.

Athanasios Tsiligkaridis, Jing Zhang, Hiroshi Taguchi, Daniel Nikovski

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Fault Detection and Classification of Time Series Using Localized Matrix Profiles.

Jing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data.

Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models.

Jing Zhang, Ioannis Ch. Paschalidis

IEEE Trans. Signal Process., 2018

The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies.

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis

Proc. IEEE, 2018

2017

Data-driven estimation of travel latency cost functions via inverse optimization in multi-class transportation networks.

Jing Zhang, Ioannis Ch. Paschalidis

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks.

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis

CoRR, 2016

The price of anarchy in transportation networks by estimating user cost functions from actual traffic data.

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

An improved composite hypothesis test for Markov models with applications in network anomaly detection.

Jing Zhang, Ioannis Ch. Paschalidis

Proceedings of the 54th IEEE Conference on Decision and Control, 2015