Core-Selecting Payment Rules for Combinatorial Auctions with Uncertain Availability of Goods. - Dmitry Moor; Sven Seuken; Tobias Grubenmann; Abraham Bernstein (IJCAI, 2016)

Challenges of Source Selection in the WoD. - Tobias Grubenmann; Abraham Bernstein; Dmitry Moor; Sven Seuken (ISWC (1), 2017)

Decentralizing the Semantic Web: Who Will Pay to Realize It? - Tobias Grubenmann; Daniele Dell'Aglio; Abraham Bernstein; Dmitry Moor; Sven Seuken (DeSemWeb@ISWC, 2017)

Make Restaurants Pay Your Server Bills. - Tobias Grubenmann; Daniele Dell'Aglio; Abraham Bernstein; Dmitry Moor; Sven Seuken (ISWC (P&D/Industry/BlueSky), 2018)

Monetization Strategies for the Web of Data. - Tobias Grubenmann (WWW (Companion Volume), 2018)

Financing the Web of Data with Delayed-Answer Auctions. - Tobias Grubenmann; Abraham Bernstein; Dmitry Moor; Sven Seuken (WWW, 2018)

FedMark: A Marketplace for Federated Data on the Web. - Tobias Grubenmann; Abraham Bernstein; Dmitry Moor; Sven Seuken (CoRR, 2018)

Collaborative Streaming: Trust Requirements for Price Sharing. - Tobias Grubenmann; Daniele Dell'Aglio; Abraham Bernstein (IEEE BigData, 2019)

LINC: A Motif Counting Algorithm for Uncertain Graphs. - Chenhao Ma 001; Reynold Cheng; Laks V. S. Lakshmanan; Tobias Grubenmann; Yixiang Fang; Xiaodong Li 009 (Proc. VLDB Endow., 2019)

Traffic Incident Detection: A Trajectory-based Approach. - Xiaolin Han 002; Tobias Grubenmann; Reynold Cheng; Sze Chun Wong; Xiaodong Li 009; Wenya Sun (ICDE, 2020)

TSA: A Truthful Mechanism for Social Advertising. - Tobias Grubenmann; Reynold C. K. Cheng; Laks V. S. Lakshmanan (WSDM, 2020)

Geolog: Scalable Logic Programming on Spatial Data. - Tobias Grubenmann; Jens Lehmann 001 (ICLP Technical Communications, 2021)

Modeling Long-Range Travelling Times with Big Railway Data. - Wenya Sun; Tobias Grubenmann; Reynold Cheng; Ben Kao; Wai-Ki Ching (DASFAA (3), 2022)

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. - Xiaolin Han 002; Reynold Cheng; Tobias Grubenmann; Silviu Maniu; Chenhao Ma 001; Xiaodong Li 009 (SDM, 2022)

Spatial concept learning and inference on geospatial polygon data. - Patrick Westphal; Tobias Grubenmann; Diego Collarana; Simon Bin; Lorenz Bühmann; Jens Lehmann 001 (Knowl. Based Syst., 2022)

DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection. - Xiaolin Han 002; Reynold Cheng; Chenhao Ma 001; Tobias Grubenmann (Proc. VLDB Endow., 2022)

A framework for differentially-private knowledge graph embeddings. - Xiaolin Han 002; Daniele Dell'Aglio; Tobias Grubenmann; Reynold Cheng; Abraham Bernstein (J. Web Semant., 2022)

Astera, an Educational Game About the Evolution of Galaxies. - Tobias Grubenmann; Francesco Shankar (GALA, 2023)

FDM: Effective and efficient incident detection on sparse trajectory data. - Xiaolin Han 002; Tobias Grubenmann; Chenhao Ma 001; Xiaodong Li 009; Wenya Sun; Sze Chun Wong; Xuequn Shang 001; Reynold Cheng (Inf. Syst., 2024)

Hypergraph-Enhanced Multi-Granularity Stochastic Weight Completion in Sparse Road Networks. - Xiaolin Han 002; Yikun Zhang; Chenhao Ma 001; Xuequn Shang 001; Reynold Cheng; Tobias Grubenmann; Xiaodong Li 009 (ACM Trans. Knowl. Discov. Data, 2025)