Zheng Qin

Orcid: 0000-0002-4246-815X

Affiliations:
  • A*STAR, Institute of High Performance Computing, Singapore
  • National University of Singapore, Department of electrical and computer engineering, Singapore (PhD 2006)
  • Xi'an JiaoTong University, China (former)


According to our database1, Zheng Qin authored at least 24 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data.
Expert Syst. Appl., March, 2024

2023
SUMMIT: A multi-modal agent-based co-simulation of urban public transport with applications in contingency planning.
Simul. Model. Pract. Theory, July, 2023

Next-Generation Vessel Traffic Services Systems - From "Passive" to "Proactive".
IEEE Intell. Transp. Syst. Mag., 2023

Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond.
IEEE Trans. Intell. Transp. Syst., 2022

Maritime Disruption Impact Evaluation Using Simulation and Big Data Analytics.
Proceedings of the Winter Simulation Conference, 2022

Evaluating the Covid-19 Screening Regime for Cross-Border Workers.
Proceedings of the Winter Simulation Conference, 2022

2021
A spatiotemporal dynamic analyses approach for dockless bike-share system.
Comput. Environ. Urban Syst., 2021

Last-Mile School Shuttle Planning With Crowdsensed Student Trajectories.
IEEE Trans. Intell. Transp. Syst., 2021

Low Latency Big Data Processing without Prior Information.
IEEE Trans. Cloud Comput., 2021

2020
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning.
CoRR, 2020

2019
Power-network aware VM migration heuristics for multi-tier web applications.
Clust. Comput., 2019

2018
Transfer Hashing: From Shallow to Deep.
IEEE Trans. Neural Networks Learn. Syst., 2018

Walkway discovery from large scale crowdsensing: demo abstract.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Walkway discovery from large scale crowdsensing.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

SC2Net: Sparse LSTMs for Sparse Coding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Network-Aware VM Migration Heuristics for Improving the SLA Violation of Multi-Tier Web Applications in the Cloud.
Proceedings of the 25th Euromicro International Conference on Parallel, 2017

Job Scheduling without Prior Information in Big Data Processing Systems.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations.
Simul. Model. Pract. Theory, 2016

Simple and Efficient Learning using Privileged Information.
CoRR, 2016

Transfer Hashing with Privileged Information.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications.
Proceedings of the 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2015

2014
Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014


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