Towards a Distributed, Scalable and Real-Time RDF Stream Processing Engine. - Xiangnan Ren (DC@ISWC, 2016)

Apache Spark and Apache Kafka at the Rescue of Distributed RDF Stream Processing Engines. - Xiangnan Ren; Olivier Curé; Houda Khrouf; Zakia Kazi-Aoul; Yousra Chabchoub (ISWC (Posters & Demos), 2016)

On Measuring Performances of C-SPARQL and CQELS. - Xiangnan Ren; Houda Khrouf; Zakia Kazi-Aoul; Yousra Chabchoub; Olivier Curé (SR+SWIT@ISWC, 2016)

StriderR: Massive and distributed RDF graph stream reasoning. - Xiangnan Ren; Olivier Curé; Hubert Naacke; Jérémy Lhez; Ke Li 014 (IEEE BigData, 2017)

A Compressed, Inference-Enabled Encoding Scheme for RDF Stream Processing. - Jérémy Lhez; Xiangnan Ren; Badre Belabbess; Olivier Curé (ESWC (2), 2017)

Strider: A Hybrid Adaptive Distributed RDF Stream Processing Engine. - Xiangnan Ren; Olivier Curé (ISWC (1), 2017)

Strider-lsa: Massive RDF Stream Reasoning in the Cloud. - Xiangnan Ren; Olivier Curé; Hubert Naacke; Ke Li 014 (CoRR, 2017)

Strider: An Adaptive, Inference-enabled Distributed RDF Stream Processing Engine. - Xiangnan Ren; Olivier Curé; Li Ke; Jérémy Lhez; Badre Belabbess; Tendry Randriamalala; Yufan Zheng; Gabriel Képéklian (Proc. VLDB Endow., 2017)

BigSR: real-time expressive RDF stream reasoning on modern Big Data platforms. - Xiangnan Ren; Olivier Curé; Hubert Naacke; Guohui Xiao 001 (IEEE BigData, 2018)

RDF Stream Reasoning via Answer Set Programming on Modern Big Data Platform. - Xiangnan Ren; Olivier Curé; Hubert Naacke; Guohui Xiao 001 (ISWC (P&D/Industry/BlueSky), 2018)

BigSR: an empirical study of real-time expressive RDF stream reasoning on modern Big Data platforms. - Xiangnan Ren; Olivier Curé; Hubert Naacke; Guohui Xiao 001 (CoRR, 2018)

Distributed RDF stream processing and reasoning. (Traitement et raisonnement distribués des flux RDF). - Xiangnan Ren (2018)

Research on Image Reconstruction of Compressed Sensing Based on a Multi-Feature Residual Network. - Ruili Nan; Guiling Sun; Zhihong Wang; Xiangnan Ren (Sensors, 2020)

Consistent image processing based on co-saliency. - Xiangnan Ren; Jinjiang Li; Zhen Hua; Xinbo Jiang (CAAI Trans. Intell. Technol., 2021)

Fully Learnable Model for Task-Driven Image Compressed Sensing. - Bowen Zheng 002; Jianping Zhang 002; Guiling Sun; Xiangnan Ren (Sensors, 2021)

Adaptive low-power wrist SpO2 monitoring system design using a multi-filtering scheme. - Guiling Sun; Xiangnan Ren; Zhihong Wang; Feng Liu 012 (Biomed. Signal Process. Control., 2023)

Sequence Labeling With Meta-Learning. - Jing Li 034; Peng Han 005; Xiangnan Ren; Jilin Hu; Lisi Chen 001; Shuo Shang (IEEE Trans. Knowl. Data Eng., 2023)

Finding Minimum Connected Subgraphs With Ontology Exploration on Large RDF Data. - Xiangnan Ren; Neha Sengupta; Xuguang Ren; Junhu Wang; Olivier Curé (IEEE Trans. Knowl. Data Eng., 2023)