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Nan Wang 0009
Person information
- affiliation: Queen's University Belfast, UK
Other persons with the same name
- Nan Wang — disambiguation page
- Nan Wang 0001 — University of Maryland, College Park, USA
- Nan Wang 0002 — Mississippi State University, Starkville, MI, USA
- Nan Wang 0003 — East China University of Science and Technology, School of Information Science and Engineering, Shanghai, China (and 1 more)
- Nan Wang 0004 — Harbin Institute of Technology, Research Institute of Intelligent Control and Systems, China
- Nan Wang 0005 — China Telecom Technology Innovation Center, Beijing, China (and 1 more)
- Nan Wang 0006 — Peking University, School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Nan Wang 0007 — Tongji University, Department of Control Science and Engineering, Shanghai, China
- Nan Wang 0008 — Zhengzhou University, School of Mathematics and Statistics, China (and 1 more)
- Nan Wang 0010 — Wuhan University, School of Information Management, China (and 1 more)
- Nan Wang 0011 — Mines ParisTech, France
- Nan Wang 0012 — Hebei Agricultural University, School of Mechanical and Electrical Engineering, Baoding, China
- Nan Wang 0013 — Ocean University of China, School of Information Science and Engineering, Qingdao, China
- Nan Wang 0014 — Beihang University, Beijing Key Laboratory of Digital Media, Beijing, China
- Nan Wang 0015 — Tsinghua University, Key Laboratory for Information System Security, Beijing, China
- Nan Wang 0016 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Nan Wang 0017 — Zhejiang University, Institute of Agricultural Remote Sensing and Information Technology Application, Hangzhou, China
- Nan Wang 0018 — Henan University of Science and Technology, School of Mechatronics Engineering, Luoyang, China
- Nan Wang 0019 — Central South University, School of Geosciences and Info-Physics, Changsha, China
- Nan Wang 0020 — SenseTime Research, Hangzhou, China (and 1 more)
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2020 – today
- 2024
- [i12]Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang:
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs. CoRR abs/2401.03597 (2024) - 2022
- [j5]Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart:
A Survey on Edge Performance Benchmarking. ACM Comput. Surv. 54(3): 66:1-66:33 (2022) - [j4]Nan Wang, Blesson Varghese:
Context-aware distribution of fog applications using deep reinforcement learning. J. Netw. Comput. Appl. 203: 103354 (2022) - [j3]Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun:
Exploiting intra- and inter-session dependencies for session-based recommendations. World Wide Web 25(1): 425-443 (2022) - 2020
- [b1]Nan Wang:
Resource management for Edge computing systems. Queen's University Belfast, UK, 2020 - [j2]Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese:
DYVERSE: DYnamic VERtical Scaling in multi-tenant Edge environments. Future Gener. Comput. Syst. 108: 598-612 (2020) - [j1]Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos:
ENORM: A Framework For Edge NOde Resource Management. IEEE Trans. Serv. Comput. 13(6): 1086-1099 (2020) - [c6]Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese:
Priority-based Fair Scheduling in Edge Computing. ICFEC 2020: 39-48 - [c5]Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun:
Modelling Local and Global Dependencies for Next-Item Recommendations. WISE (2) 2020: 285-300 - [i11]Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese:
Priority-based Fair Scheduling in Edge Computing. CoRR abs/2001.09070 (2020) - [i10]Nan Wang, Blesson Varghese:
Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning. CoRR abs/2001.09228 (2020) - [i9]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu:
Graph Learning Approaches to Recommender Systems: A Review. CoRR abs/2004.11718 (2020) - [i8]Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart:
A Survey on Edge Benchmarking. CoRR abs/2004.11725 (2020)
2010 – 2019
- 2019
- [c4]Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese:
DeFog: fog computing benchmarks. SEC 2019: 47-58 - [i7]Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese:
DeFog: Fog Computing Benchmarks. CoRR abs/1907.10890 (2019) - 2018
- [i6]Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese:
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments. CoRR abs/1810.04608 (2018) - 2017
- [c3]Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos:
Edge-as-a-Service: Towards Distributed Cloud Architectures. PARCO 2017: 784-793 - [i5]Blesson Varghese, Nan Wang, Dimitrios S. Nikolopoulos, Rajkumar Buyya:
Feasibility of Fog Computing. CoRR abs/1701.05451 (2017) - [i4]Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos:
ENORM: A Framework For Edge NOde Resource Management. CoRR abs/1709.04061 (2017) - [i3]Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos:
Edge-as-a-Service: Towards Distributed Cloud Architectures. CoRR abs/1710.10090 (2017) - 2016
- [c2]Nan Wang, Blesson Varghese, Peter D. Donnelly:
A machine learning analysis of Twitter sentiment to the Sandy Hook shootings. eScience 2016: 303-312 - [c1]Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos:
Challenges and Opportunities in Edge Computing. SmartCloud 2016: 20-26 - [i2]Nan Wang, Blesson Varghese, Peter D. Donnelly:
A Machine Learning Analysis of Twitter Sentiment to the Sandy Hook Shootings. CoRR abs/1609.00536 (2016) - [i1]Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos:
Challenges and Opportunities in Edge Computing. CoRR abs/1609.01967 (2016)
Coauthor Index
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last updated on 2024-11-22 20:41 CET by the dblp team
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