[虞嘉圓]

Jia Yuan, Yu

Associate Professor, Concordia Institute of Information System Engineering.

Mailing address:	Concordia University 1455 de Maisonneuve Blvd. West EV007.635 Montreal, Quebec H3G 1M8 Canada.
Tel.:	+1 514 848 2424 ext. 2873
e-mail:	jiayuan.yu@concordia.ca

Research

I'm interested in data science and decision theory (machine learning, statistics, control, game theory, operations research), as well as applications to smart cities and Internet-connected devices.

Open Positions

I'm looking for undergraduate and graduate students to work on exciting projects involving a mix of theory, data, and prototype-building. If you have a strong background in mathematics or programming, then please feel free to email me your CV and a description of your interests.

Publications

Latest papers are on arXiv, older ones below.

Conference papers

Transition-based and State-based Reward Functions for MDPs with Value-at-Risk, with Shuai Ma, Allerton 2017.
The Merits of Sharing a Ride, with Pooyan Ehsani, Allerton 2017.
A Method for Fair Assignments of Drivers to Parking Lots, with Nicole Tehari and Robert Shorten, IEEE Smart Cities, 2017.
A Method for Fair Assignments of Drivers to Parking Lots, with Nicole Tehari and Robert Shorten, IEEE Smart Cities, 2017.
Label Propagation for Mode Detection from Smartphone Data, with Mohsen Rezaei, Zachary Patterson, and Ali Yazdizadeh, 2017.
On Charge Point Anxiety and the Sharing Economy, with Eoin Thompson et al., IEEE ITSC 2017.
Joint energy demand prediction and control, with Mehdi Merai, AfricaTek 2017.
Crowdsourced Electricity Demand Forecast, with Kenneth Humphreys, IEEE Smart Cities 2016.
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data, with Nikos Panagiotou et al., ECML-PKDD 2016
Mining Hidden Constrained Streams in Practice: Informed Search in Dynamic Filter Spaces, with Nikos Panagiotou et al., ASONAM 2016.
Distributionally Robust Optimisation in Congestion Control, with Jakub Marecek and Robert Shorten, ITS European Congress 2016.
Pricing Vehicle Sharing with Proximity Information, with Jakub Marecek and Robert Shorten, IEEE Big Data and Smart City 2016
Two-phase Q-learning for Bidding-based Vehicle Sharing, with Yinlam Chow and Marco Pavone, AAAI Spring Symposium 2016.
Sensor Selection for Crowdsensing Dynamical Systems, with Francois Schnitzler and Shie Mannor, AISTATS 2015.
Signaled Queueing, with Laura Brink and Robert Shorten, AAMAS 2015.
Real-time Bidding-based Vehicle Sharing, with Yinlam Chow, AAMAS 2015.
Asynchronous Algorithms for Network Utility Maximisation with a Single Bit, with Fabian Wirth, Sonja Stuedli, Martin Corless, and Robert Shorten, ECC 2015.
A result for nonhomogeneous place-dependent Markov Chains arising in the study of the AIMD algorithm and its application to certain optimisation problems, with Fabian Wirth, Sonja Stuedli, Martin Corless, and Robert Shorten, Allerton 2014.
Traffic Management using RTEC in OWL 2 RL, with Bernard Gorman and Jakub Marecek, ISWC 2014.
Sample complexity of risk-averse bandit-arm selection, with Evdokia Nikolova, IJCAI 2013.
Data-driven Distributionally Robust Polynomial Optimization, with Martin Mevissen and Emanuele Ragnoli, NIPS 2013.
Minimizing risk measures in bandit problems, INFORMS APS 2013.
Distributionally robust optimization for polynomial optimization problems, with Martin Mevissen and Emanuele Ragnoli, ISMP 2012.
Mean Field Equilibria of Multiarmed Bandit Games, with Ramakrishna Gummadi, Ramesh Johari, EC 2012.
Unimodal bandits, with Shie Mannor, ICML 2011.
Lipschitz Bandits without the Lipschitz Constant, with Sebastien Bubeck and Gilles Stoltz, ALT 2011.
Adaptive and Optimal Online Linear Regression on L1-balls, with Sebastien Gerchinovitz, ALT 2011.
Arbitrarily Modulated Markov Decision Processes, with Shie Mannor, CDC 2009.
Piecewise-stationary bandit problems with side observations, with Shie Mannor, ICML 2009.
Online learning in Markov decision processes with arbitrarily changing rewards and transitions, with Shie Mannor, GameNets 2009.
Markov decision processes with arbitrary reward processes, with Shie Mannor and Nahum Shimkin, EWRL 2008.
Online learning with expert advice and finite-horizon constraints, with Branislav Kveton, Georgios Theocharous and Shie Mannor, AAAI 2008.
A lazy approach to online learning with constraints, with Branislav Kveton, Georgios Theocharous and Shie Mannor, ISAIM 2008.
Asymptotics of efficiency loss in competitive market mechanisms, with Shie Mannor, Infocom 2006.

Journal articles

Ridesharing for emergency evacuation, with Joe Naoum-Sawaya, INFOR, 2017
A Reinforcement Learning Technique for Optimizing Downlink Scheduling in an Energy-Limited Vehicular Network, with Ribal Atalah and Chadi Assi. IEEE Transactions on Vehicular Technology, 2016.
r-Extreme Signalling for Congestion Control, with Jakub Marecek and Robert Shorten. International Journal of Control, 2016.
On the Design of Campus Parking Systems with QoS Guarantees, with Wynita Griggs, Fabian Wirth, Florian Hausler, and Robert Shorten. IEEE Transactions on Intelligent Transportation Systems, 2015.
Signaling and obfuscation for congestion control, with Jakub Marecek and Robert Shorten. International Journal of Control [arXiv], 2015.
Adaptive and Optimal Online Linear Regression on L1-balls, with Sebastien Gerchinovitz. Theoretical Computer Science, 2012.
Markov decision processes with arbitrary reward processes, with Shie Mannor and Nahum Shimkin. Mathematics of Operations Research 34(3) [737-757], 2009.
Online learning with sample path constraints, with Shie Mannor and John N. Tsitsiklis. Journal of Machine Learning Research 10(Mar):[569-590], 2009.
Efficiency loss of market-based resource allocation with many participants, with Shie Mannor, IEEE Journal on Selected Areas in Communications 25(6), 1244-1259, 2007.