Jing Zhang

20 papers B 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2023 — conf
Estimating traffic density using transformer decoders.
ANT/EDI40
Yinsong Wang, Jing Zhang, Daniel Nikovski, Takuro Kojima
2023 — conf
Travel-time prediction using neural-network-based mixture models.
ANT/EDI40
Abhishek Sharma, Jing Zhang, Daniel Nikovski, Finale Doshi-Velez
2022 — conf
Context-Aware Destination and Time-To-Destination Prediction Using Machine learning.
ISC2
Athanasios Tsiligkaridis, Jing Zhang, Ioannis Ch. Paschalidis, Hiroshi Taguchi, Satoko Sakajo, Daniel Nikovski
2022 J jnl
Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks.
IEEE Trans. Control. Netw. Syst.
Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis
2022 — conf
Transformer Networks for Predictive Group Elevator Control.
ECC
Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
2022 J jnl
Transformer Networks for Predictive Group Elevator Control.
CoRR
Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
2020 B conf
Personalized Destination Prediction Using Transformers in a Contextless Data Setting.
IJCNN
Athanasios Tsiligkaridis, Jing Zhang, Hiroshi Taguchi, Daniel Nikovski
2019 — conf
Fault Detection and Classification of Time Series Using Localized Matrix Profiles.
ICPHM
Jing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino
2019 — conf
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data.
CDC
Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis
2019 J jnl
Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data.
CoRR
Salomón Wollenstein-Betech, Chuangchuang Sun, Jing Zhang, Ioannis Ch. Paschalidis
2018 J jnl
Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models.
IEEE Trans. Signal Process.
Jing Zhang, Ioannis Ch. Paschalidis
2018 J jnl
The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies.
Proc. IEEE
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis
2017 J jnl
Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks.
CoRR
Jing Zhang, Ioannis Ch. Paschalidis
2017 — conf
Data-driven estimation of travel latency cost functions via inverse optimization in multi-class transportation networks.
CDC
Jing Zhang, Ioannis Ch. Paschalidis
2017 J jnl
Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models.
CoRR
Jing Zhang, Ioannis Ch. Paschalidis
2016 J jnl
Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks.
CoRR
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis
2016 J jnl
The Price of Anarchy in Transportation Networks by Estimating User Cost Functions from Actual Traffic Data.
CoRR
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis
2016 — conf
The price of anarchy in transportation networks by estimating user cost functions from actual traffic data.
CDC
Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, Ioannis Ch. Paschalidis
2015 J jnl
An Improved Composite Hypothesis Test for Markov Models with Applications in Network Anomaly Detection.
CoRR
Jing Zhang, Ioannis Ch. Paschalidis
2015 — conf
An improved composite hypothesis test for Markov models with applications in network anomaly detection.
CDC
Jing Zhang, Ioannis Ch. Paschalidis