An improved composite hypothesis test for Markov models with applications in network anomaly detection. - Jing Zhang 030; Ioannis Ch. Paschalidis (CDC, 2015)

The price of anarchy in transportation networks by estimating user cost functions from actual traffic data. - Jing Zhang 030; Sepideh Pourazarm; Christos G. Cassandras; Ioannis Ch. Paschalidis (CDC, 2016)

Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks. - Jing Zhang 030; Sepideh Pourazarm; Christos G. Cassandras; Ioannis Ch. Paschalidis (CoRR, 2016)

Data-driven estimation of travel latency cost functions via inverse optimization in multi-class transportation networks. - Jing Zhang 030; Ioannis Ch. Paschalidis (CDC, 2017)

The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies. - Jing Zhang 030; Sepideh Pourazarm; Christos G. Cassandras; Ioannis Ch. Paschalidis (Proc. IEEE, 2018)

Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models. - Jing Zhang 030; Ioannis Ch. Paschalidis (IEEE Trans. Signal Process., 2018)

Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data. - Salomón Wollenstein-Betech; Chuangchuang Sun; Jing Zhang 030; Ioannis Ch. Paschalidis (CDC, 2019)

Fault Detection and Classification of Time Series Using Localized Matrix Profiles. - Jing Zhang 030; Daniel Nikovski; Teng-Yok Lee; Tomoya Fujino (ICPHM, 2019)

Personalized Destination Prediction Using Transformers in a Contextless Data Setting. - Athanasios Tsiligkaridis; Jing Zhang 030; Hiroshi Taguchi; Daniel Nikovski (IJCNN, 2020)

Transformer Networks for Predictive Group Elevator Control. - Jing Zhang 030; Athanasios Tsiligkaridis; Hiroshi Taguchi; Arvind U. Raghunathan; Daniel Nikovski (ECC, 2022)

Context-Aware Destination and Time-To-Destination Prediction Using Machine learning. - Athanasios Tsiligkaridis; Jing Zhang 030; Ioannis Ch. Paschalidis; Hiroshi Taguchi; Satoko Sakajo; Daniel Nikovski (ISC2, 2022)

Joint Data-Driven Estimation of Origin-Destination Demand and Travel Latency Functions in Multiclass Transportation Networks. - Salomón Wollenstein-Betech; Chuangchuang Sun; Jing Zhang 030; Christos G. Cassandras; Ioannis Ch. Paschalidis (IEEE Trans. Control. Netw. Syst., 2022)

Travel-time prediction using neural-network-based mixture models. - Abhishek Sharma; Jing Zhang 030; Daniel Nikovski; Finale Doshi-Velez (ANT/EDI40, 2023)

Estimating traffic density using transformer decoders. - Yinsong Wang; Jing Zhang 030; Daniel Nikovski; Takuro Kojima (ANT/EDI40, 2023)