Jia Yuan Yu

Orcid: 0000-0001-5768-9249

According to our database1, Jia Yuan Yu authored at least 74 papers between 2006 and 2024.

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Bibliography

2024
On unique ergodicity of coupled AIMD flows.
Int. J. Control, 2024

Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective.
Proceedings of the AI Verification - First International Symposium, 2024

Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Reward modeling for mitigating toxicity in transformer-based language models.
Appl. Intell., April, 2023

2022
A Price-Based Iterative Double Auction for Charger Sharing Markets.
IEEE Trans. Intell. Transp. Syst., 2022

A Reliable and Simple Method to Estimate the Electric-Vehicle Battery State-of-Health.
Proceedings of the International Conference on Connected Vehicle and Expo, 2022

RainbowTag: a Fiducial Marker System with a New Color Segmentation Algorithm.
Proceedings of the International Conference on Connected Vehicle and Expo, 2022

2021
Weakly-supervised learning for community detection based on graph convolution in attributed networks.
Int. J. Mach. Learn. Cybern., 2021

Bias-corrected peaks-over-threshold estimation of the CVaR.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Protecting marginalized communities by mitigating discrimination in toxic language detection.
Proceedings of the IEEE International Symposium on Technology and Society, 2021

Domain Adaptation Multi-task Deep Neural Network for Mitigating Unintended Bias in Toxic Language Detection.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Generating Embroidery Patterns Using Image-to-Image Translation.
CoRR, 2020

The Convergence of Finite-Averaging of AIMD for Distributed Heterogeneous Resource Allocations.
CoRR, 2020

Detecting Fashion Apparels and their Landmarks.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Transformer Decoder Based Reinforcement Learning Approach for Conversational Response Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Nonhomogeneous Place-dependent Markov Chains, Unsynchronised AIMD, and Optimisation.
J. ACM, 2019

Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR.
CoRR, 2019

A Scheme for Dynamic Risk-Sensitive Sequential Decision Making.
CoRR, 2019

Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Low-Latency Service Schedule Orchestration in NFV-based Networks.
Proceedings of the 5th IEEE Conference on Network Softwarization, 2019

Scheduling Electric Vehicles to Chargers through Iterative Double Auction Mechanism.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Distributed Algorithms for Internet-of-Things enabled Prosumer Markets: A Control Theoretic Perspective.
CoRR, 2018

Distribution Estimation in Discounted MDPs via a Transformation.
CoRR, 2018

On the control of agents coupled through shared resources.
CoRR, 2018

Distributed and Efficient Resource Balancing Among Many Suppliers and Consumers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Cost-Aware Incentive Mechanism in Mobile Crowdsourcing Systems.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Ensemble-based Adaptive Single-shot Multi-box Detector.
Proceedings of the 2018 International Symposium on Networks, Computers and Communications, 2018

Efficient Single-Shot Multibox Detector for Construction Site Monitoring.
Proceedings of the IEEE International Smart Cities Conference, 2018

Distributed, Private, and Derandomized Allocation Algorithm for EV Charging.
Proceedings of the IEEE International Smart Cities Conference, 2018

Communication-efficient Distributed Multi-resource Allocation.
Proceedings of the IEEE International Smart Cities Conference, 2018

Derandomized Distributed Multi-resource Allocation with Little Communication Overhead.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
A Reinforcement Learning Technique for Optimizing Downlink Scheduling in an Energy-Limited Vehicular Network.
IEEE Trans. Veh. Technol., 2017

Ridesharing for emergency evacuation.
INFOR Inf. Syst. Oper. Res., 2017

Distributed Multi-resource Allocation with Little Communication Overhead.
CoRR, 2017

On charge point anxiety and the sharing economy.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Transition-based versus state-based reward functions for MDPs with Value-at-Risk.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

The merits of sharing a ride.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Joint Energy Demand Prediction and Control.
Proceedings of the Emerging Technologies for Developing Countries, 2017

2016
On the Design of Campus Parking Systems With QoS Guarantees.
IEEE Trans. Intell. Transp. Syst., 2016

r-extreme signalling for congestion control.
Int. J. Control, 2016

Pricing Vehicle Sharing with Proximity Information.
CoRR, 2016

Effect of Reward Function Choices in Risk-Averse Reinforcement Learning.
CoRR, 2016


Crowdsourced electricity demand forecast.
Proceedings of the IEEE International Smart Cities Conference, 2016

Mining hidden constrained streams in practice: Informed search in dynamic filter spaces.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Signalling and obfuscation for congestion control.
Int. J. Control, 2015

Central-limit approach to risk-aware Markov decision processes.
CoRR, 2015

Asynchronous algorithms for network utility maximisation with a single bit.
Proceedings of the 14th European Control Conference, 2015

Real-time Bidding based Vehicle Sharing.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Signaled Queueing.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Sensor Selection for Crowdsensing Dynamical Systems.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Adaptive and optimal online linear regression on l<sup>1</sup>-balls.
Theor. Comput. Sci., 2014

Functional Bandits.
CoRR, 2014

Congestion Management by Obfuscation.
CoRR, 2014

Congestion Management by Interval Signaling.
CoRR, 2014

Traffic Management Using RTEC in OWL 2 RL.
Proceedings of the Industry Track at the International Semantic Web Conference 2014 Co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

2013
Data-driven Distributionally Robust Polynomial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Sample Complexity of Risk-Averse Bandit-Arm Selection.
Proceedings of the IJCAI 2013, 2013

2012
Mean field equilibria of multiarmed bandit games.
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

Mean field equilibria of multi armed bandit games.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Unimodal Bandits.
Proceedings of the 28th International Conference on Machine Learning, 2011

Adaptive and Optimal Online Linear Regression on ℓ1-Balls.
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

Lipschitz Bandits without the Lipschitz Constant.
Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2009
Markov Decision Processes with Arbitrary Reward Processes.
Math. Oper. Res., 2009

Online Learning with Sample Path Constraints.
J. Mach. Learn. Res., 2009

Piecewise-stationary bandit problems with side observations.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Online learning in Markov decision processes with arbitrarily changing rewards and transitions.
Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Arbitrarily modulated Markov decision processes.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
A Lazy Approach to Online Learning with Constraints.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Online Learning with Expert Advice and Finite-Horizon Constraints.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Efficiency of Market-Based Resource Allocation among Many Participants.
IEEE J. Sel. Areas Commun., 2007

2006
Asymptotics of Efficiency Loss in Competitive Market Mechanisms.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006


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