Nan Wang

25 papers C 1Misc 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs.
IEEE Trans. Knowl. Data Eng.
Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang, Xiaofang Zhou
2024 J jnl
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs.
CoRR
Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang
2022 J jnl
A Survey on Edge Performance Benchmarking.
ACM Comput. Surv.
Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart
2022 J jnl
Context-aware distribution of fog applications using deep reinforcement learning.
J. Netw. Comput. Appl.
Nan Wang, Blesson Varghese
2022 J jnl
Exploiting intra- and inter-session dependencies for session-based recommendations.
World Wide Web
Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun
2020 J jnl
A Survey on Edge Benchmarking.
CoRR
Blesson Varghese, Nan Wang, David Bermbach, Cheol-Ho Hong, Eyal de Lara, Weisong Shi, Christopher Stewart
2020 J jnl
Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning.
CoRR
Nan Wang, Blesson Varghese
2020 J jnl
DYVERSE: DYnamic VERtical Scaling in multi-tenant Edge environments.
Future Gener. Comput. Syst.
Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese
2020 J jnl
ENORM: A Framework For Edge NOde Resource Management.
IEEE Trans. Serv. Comput.
Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos
2020 J jnl
Graph Learning Approaches to Recommender Systems: A Review.
CoRR
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
2020 — conf
Modelling Local and Global Dependencies for Next-Item Recommendations.
WISE (2)
Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun
2020 C conf
Priority-based Fair Scheduling in Edge Computing.
ICFEC
Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese
2020 J jnl
Priority-based Fair Scheduling in Edge Computing.
CoRR
Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese
2020 — —
Resource management for Edge computing systems
Nan Wang
2019 J jnl
DeFog: Fog Computing Benchmarks.
CoRR
Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese
2019 Misc conf
DeFog: fog computing benchmarks.
SEC
Jonathan McChesney, Nan Wang, Ashish Tanwer, Eyal de Lara, Blesson Varghese
2018 J jnl
DYVERSE: DYnamic VERtical Scaling in Multi-tenant Edge Environments.
CoRR
Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese
2017 J jnl
ENORM: A Framework For Edge NOde Resource Management.
CoRR
Nan Wang, Blesson Varghese, Michail Matthaiou, Dimitrios S. Nikolopoulos
2017 — conf
Edge-as-a-Service: Towards Distributed Cloud Architectures.
PARCO
Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos
2017 J jnl
Edge-as-a-Service: Towards Distributed Cloud Architectures.
CoRR
Blesson Varghese, Nan Wang, Jianyu Li, Dimitrios S. Nikolopoulos
2017 J jnl
Feasibility of Fog Computing.
CoRR
Blesson Varghese, Nan Wang, Dimitrios S. Nikolopoulos, Rajkumar Buyya
2016 J jnl
A Machine Learning Analysis of Twitter Sentiment to the Sandy Hook Shootings.
CoRR
Nan Wang, Blesson Varghese, Peter D. Donnelly
2016 — conf
A machine learning analysis of Twitter sentiment to the Sandy Hook shootings.
eScience
Nan Wang, Blesson Varghese, Peter D. Donnelly
2016 — conf
Challenges and Opportunities in Edge Computing.
SmartCloud
Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos
2016 J jnl
Challenges and Opportunities in Edge Computing.
CoRR
Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos