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Author

Jie Wang

Observed name: Wang, Jie
Institution: Stanford University
ORCID: 0000-0003-1857-5569
Observed ORCID: 0000-0003-1857-5569
OpenAlex ID: A5102215074
Multi-Agent Deep Reinforcement Learning for Large-Scale Traffic Signal Control
2019 · Tianshu Chu, Jie Wang, et al. · IEEE Transactions on Intelligent Transportation Systems · 1,049
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A hybrid decision support system for sustainable office building renovation and energy performance improvement
2009 · Yi-Kai Juan, Peng Gao, et al. · Energy and Buildings · 333
Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control
2019 · Tian Tan, Feng Bao, et al. · IEEE Transactions on Cybernetics · 235
A Social-Aware Service Recommendation Approach for Mashup Creation
2013 · Wenxing Xu, Jian Cao, et al. · IEEE International Conference on Web Services (ICWS) · 68
A study of the relationship between the knowledge base and the innovation performance under the organizational slack regulating
2015 · Xin Jin, Jie Wang, et al. · Management Decision · 63
Optimized Adaptive Scheduling of a Manufacturing Process System with Multi-skill Workforce and Multiple Machine Types: An Ontology-based, Multi-agent Reinforcement Learning Approach
2016 · Shuhui Qu, Jie Wang, et al. · Procedia CIRP · 60
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An interactive service customization model
2005 · Jian Cao, Jie Wang, et al. · Information and Software Technology · 49
Large-scale traffic grid signal control with regional Reinforcement Learning
2016 · Tianshu Chu, Shuhui Qu, et al. · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 42
H-Tree: An Efficient Index Structurefor Event Matching in Content-BasedPublish/Subscribe Systems
2014 · Shiyou Qian, Jian Cao, et al. · IEEE Transactions on Parallel and Distributed Systems · 37
A centralized reinforcement learning approach for proactive scheduling in manufacturing
2015 · Shuhui Qu, Tianshu Chu, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 35
Learning adaptive dispatching rules for a manufacturing process system by using reinforcement learning approach
2016 · Shuhui Qu, Jie Wang, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 33
A Social-Aware Service Recommendation Approach for Mashup Creation
2013 · Jian Cao, Wenxing Xu, et al. · International Journal of Web Services Research · 33
Knowledge source strategy and enterprise innovation performance: dynamic analysis based on machine learning
2017 · Xin Jin, Jie Wang, et al. · Technology Analysis and Strategic Management · 32
Unpacking Additive Manufacturing Challenges and Opportunities in Moving towards Sustainability: An Exploratory Study
2023 · Wen Liu, Xielin Liu, et al. · Sustainability · 27
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Fuzzy-QFD approach based decision support model for licensor selection
2011 · Ling Wang, Yi-Kai Juan, et al. · Expert Systems with Applications · 27
A dynamically reconfigurable system based on workflow and service agents
2004 · Jian Cao, Jie Wang, et al. · Engineering Applications of Artificial Intelligence · 26
Multiscale Convolutional and Recurrent Neural Network for Quality Prediction of Continuous Casting Slabs
2020 · Xing Wu, Hanlu Jin, et al. · Processes · 25
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Improving the Quality of Recommendations for Users and Items in the Tail of Distribution
2017 · Liang Hu, Longbing Cao, et al. · ACM Transactions on Information Systems · 23
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A multi-agent negotiation based service composition method for on-demand service
2005 · Jian Cao, Jie Wang, et al. · IEEE International Conference on Services Computing · 20
Traffic signal control by distributed Reinforcement Learning with min-sum communication
2017 · Tianshu Chu, Jie Wang · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · 18
A Dynamic Grid Workflow Model Based On Workflow Component Reuse
2005 · Jian Cao, Yujie Mou, et al. · Lecture notes in computer science · 18
Dynamic scheduling in large-scale stochastic processing networks for demand-driven manufacturing using distributed reinforcement learning
2018 · Shuhui Qu, Jie Wang, et al. · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · 17
Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items’ Ratings and Content
2017 · Shanshan Feng, Jian Cao, et al. · ACM Transactions on Knowledge Discovery from Data · 16
Modeling and optimizing the performance of PVC/PVB ultrafiltration membranes using supervised learning approaches
2016 · Lina Chi, Jie Wang, et al. · RSC Advances · 16
Large-scale multi-agent reinforcement learning using image-based state representation
2016 · Tianshu Chu, Shuhui Qu, et al. · IEEE Conference on Decision and Control (CDC) · 15
Works count: 104
Citation count: 2,618
H-index: 19
I10-index: 42
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