Bin Cheng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Privacy Preserving

Ontology Matching

Reinforcement Learning

Top Venues

BigData Congress

Publications

Bin Cheng, Jonathan Fürst, Tobias Jacobs, Celia Garrido-Hidalgo
Interactive Ontology Matching with Cost-Efficient Learning. CoRR (2024)
Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng
VersaMatch: Ontology Matching with Weak Supervision. Proc. VLDB Endow. 16 (6) (2023)
Celia Garrido-Hidalgo, Jonathan Fürst, Bin Cheng, Luis Roda-Sanchez, Teresa Olivares, Ernö Kovacs
Interlinking the Brick Schema with Building Domain Ontologies. SenSys (2022)
Jonathan Fürst, Bin Cheng, Benjamin Hebgen
Realizing the Digital Twin Transition for Smart Cities. Open J. Internet Things 7 (1) (2021)
Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Ernö Kovacs
Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT. Open J. Internet Things 6 (1) (2020)
Flavio Cirillo, Bin Cheng, Raffaele Porcellana, Marco Russo, Gürkan Solmaz, Hisashi Sakamoto, Simon Pietro Romano
IntentKeeper: Intent-oriented Data Usage Control for Federated Data Analytics. LCN (2020)
Flavio Cirillo, Gürkan Solmaz, Everton Luís Berz, Martin Peter Bauer, Bin Cheng, Ernö Kovacs
A Standard-based Open Source IoT Platform: FIWARE. CoRR (2020)
Mauricio Fadel Argerich, Jonathan Fürst, Bin Cheng
Tutor4RL: Guiding Reinforcement Learning with External Knowledge. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) (2020)
Gürkan Solmaz, Everton Luís Berz, Marzieh Dolatabadi Farahani, Samet Aytaç, Jonathan Fürst, Bin Cheng, Jos den Ouden
Learn from IoT: Pedestrian Detection and Intention Prediction for Autonomous Driving. SMAS@MobiCom (2019)
Bin Cheng, Jonathan Fürst, Gürkan Solmaz, Takuya Sanada
Fog Function: Serverless Fog Computing for Data Intensive IoT Services. SCC (2019)
Mauricio Fadel Argerich, Bin Cheng, Jonathan Fürst
Reinforcement Learning based Orchestration for Elastic Services. WF-IoT (2019)
Mauricio Fadel Argerich, Bin Cheng, Jonathan Fürst
Reinforcement Learning Based Orchestration for Elastic Services. CoRR (2019)
Bin Cheng, Jonathan Fürst, Gürkan Solmaz, Takuya Sanada
Fog Function: Serverless Fog Computing for Data Intensive IoT Services. CoRR (2019)
Flavio Cirillo, Gürkan Solmaz, Everton Luís Berz, Martin Bauer, Bin Cheng, Ernö Kovacs
A Standard-Based Open Source IoT Platform: FIWARE. IEEE Internet Things Mag. 2 (3) (2019)
Jonathan Fürst, Mauricio Fadel Argerich, Bin Cheng, Apostolos Papageorgiou
Elastic Services for Edge Computing. CNSM (2018)
Bin Cheng, Gürkan Solmaz, Flavio Cirillo, Ernö Kovacs, Kazuyuki Terasawa, Atsushi Kitazawa
FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities. IEEE Internet Things J. 5 (2) (2018)
Salvatore Longo, Bin Cheng
Real-Time Privacy Preserving Crowd Estimation Based on Sensor Data. IEEE MS (2016)
Bin Cheng, Apostolos Papageorgiou, Martin Bauer
Geelytics: Enabling On-Demand Edge Analytics over Scoped Data Sources. BigData Congress (2016)
Apostolos Papageorgiou, Ehsan Poormohammady, Bin Cheng
Edge-Computing-Aware Deployment of Stream Processing Tasks Based on Topology-External Information: Model, Algorithms, and a Storm-Based Prototype. BigData Congress (2016)
Bin Cheng, Salvatore Longo, Flavio Cirillo, Martin Bauer, Ernö Kovacs
Building a Big Data Platform for Smart Cities: Experience and Lessons from Santander. BigData Congress (2015)
Salvatore Longo, Bin Cheng
Privacy preserving crowd estimation for safer cities. UbiComp/ISWC Adjunct (2015)
Bin Cheng, Apostolos Papageorgiou, Flavio Cirillo, Ernö Kovacs
GeeLytics: Geo-distributed edge analytics for large scale IoT systems based on dynamic topology. WF-IoT (2015)
Apostolos Papageorgiou, Bin Cheng, Ernö Kovacs
Reconstructability-Aware Filtering and Forwarding of Time Series Data in Internet-of-Things Architectures. BigData Congress (2015)
Apostolos Papageorgiou, Bin Cheng, Ernö Kovacs
Real-time data reduction at the network edge of Internet-of-Things systems. CNSM (2015)