Publications


Semantic 3D product modelling for automated inspection in remanufacturing processes
Kaiser, J.-P.; Koch, D.; Stamer, F.; Peeters, J.; Lanza, G.
2026. Journal of Remanufacturing, 16 (1), Artikel-Nr.: 1. doi:10.1007/s13243-025-00157-8
RHO: Robust Holistic OSM-Based Metric Cross-View Geo-Localization
Zheng, J.; Dai, R.; Liu, R.; Zeng, Z.; Chen, Y.; Wang, F.; Peng, K.; Yang, K.; Zhang, J.; Stiefelhagen, R.
2026. arxiv. doi:.48550/arXiv.2603.27758
Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels
Kong, W.; Zeng, Z.; Wen, D.; Wei, J.; Peng, K.; Goo, J. M.; Boehm, J.; Stiefelhagen, R.
2026. arxiv. doi:10.48550/arXiv.2510.09035
-Occ: Resilient 3D Semantic Occupancy Prediction for Autonomous Driving with Incomplete Camera Inputs
Lin, K.; Peng, K.; Wen, D.; Chen, Y.; Liu, R.; Yang, K.
2026. arxiv
MICA: Multi-Agent Industrial Coordination Assistant
Wen, D.; Peng, K.; Zheng, J.; Chen, Y.; Shi, Y.; Wei, J.; Liu, R.; Yang, K.; Stiefelhagen, R.
2026. arxiv. doi:10.48550/arXiv.2509.15237
What if? Emulative Simulation with World Models for Situated Reasoning
Liu, R.; Chen, Y.; Zhang, Y.; Zheng, J.; Peng, K.; Wu, C.; Huang, C.; Wen, D.; Zhang, J.; Yang, K.; Stiefelhagen, R.
2026. arxiv. doi:10.48550/arXiv.2603.06445
Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise
Li, W.; Peng, K.; Wen, D.; Zheng, J.; Wei, J.; Duan, M.; Zhang, Y.; Fan, R.; Yang, K.
2026. arxiv
Segment-to-Act: Label-Noise-Robust Action-Prompted Video Segmentation Towards Embodied Intelligence
Li, W.; Peng, K.; Wen, D.; Liu, R.; Duan, M.; Luo, K.; Yang, K.
2026. arxiv
Tracing Back Error Sources to Explain and Mitigate Pose Estimation Failures
Schneider, L.; Shi, Y.; Wolf, R.; Brenner, C.; Triebel, R.; Rayyes, R.
2026. arxiv. doi:10.48550/arXiv.2603.02881
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization
Peng, K.; Wen, D.; Sarfraz, M. S.; Chen, Y.; Zheng, J.; Schneider, D.; Yang, K.; Wu, J.; Roitberg, A.; Stiefelhagen, R.
2026. International Journal of Computer Vision, 134 (3), Art.Nr: 99. doi:10.1007/s11263-025-02643-9
A study on the predictive capabilities of digital twins for object transfers in a remanufacturing demonstration environment
Klein, J.-F.; Furmans, K.
2026. Robotics and Computer-Integrated Manufacturing, 97, Article no: 103063. doi:10.1016/j.rcim.2025.103063
Fault Tree and Markov Chain-Based for Instance-Specific Reliability of Angle Grinders for Circularity
Afifi, N.; Mas, V. L.; Leitenberger, F.; Hemmerich, J.; Kleinhans, L.; Grauberger, P.; Matthiesen, S.
2026. 2026 Annual Reliability and Maintainability Symposium (RAMS), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/RAMS50514.2026.11424541
ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction
Zhang, Y.; Duan, M.; Peng, K.; Wang, Y.; Wen, D.; Paudel, D. P.; Gool, L. V.; Yang, K.
2026. arxiv. doi:10.48550/arXiv.2604.01081
From Data to Decisions: Leveraging Large Language Models and Digital Product Passports for Data-Driven Remanufacturing
Tan, Y.; Wolf, M.; Bail, F.; Lachnit, T.; Li, X.; Lanza, G.; Sutherland, J. W.; Athinarayanan, R.
2026. Procedia CIRP, 139, 134–139. doi:10.1016/j.procir.2025.10.004
Learning Unified Probabilistic Spatial Relation Representation from Visual Demonstrations
Hannuschka, P. E.; Gao, J.; Asfour, T.
2026. IEEE International Conference on Robotics and Automation (ICRA), 0–0, Institute of Electrical and Electronics Engineers (IEEE)
LLM-Powered Multi-Agent System for Automated Error Detection in Remanufacturing Inspection
Wesner, D.; Koch, D.; Mas, V. L.; Matthiesen, S.; Stamer, F.; Lanza, G.
2026. Procedia CIRP, 139, 174–178. doi:10.1016/j.procir.2025.09.022
Development and Evaluation of an Ontology for Model-Based Cross-Generational Modeling of Products and Production Systems in Circular Economy
Vlajic, K.; Martin, A.; Fischer, M.; Schwarz, S. E.; Düser, T.; Albers, A.
2025. 2025 IEEE International Symposium on Systems Engineering (ISSE), 1–7, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISSE65546.2025.11370110
RefAtomNet++: Advancing referring atomic video action recognition using semantic retrieval based multi-trajectory mamba
Peng, K.; Wen, D.; Fu, J.; Wu, J.; Yang, K.; Zheng, J.; Liu, R.; Chen, Y.; Fu, Y.; Paudel, D. P.
2025. arxiv
EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels
Peng, K.; Wen, D.; Yang, K.; Fu, J.; Chen, Y.; Liu, R.; Wu, J.; Zheng, J.; Sarfraz, M. S.; Gool, L. V.; Paudel, D. P.; Stiefelhagen, R.
2025. arxiv. doi:10.48550/arXiv.2510.12687
RoHOI: Robustness benchmark for human-object interaction detection
Wen, D.; Peng, K.; Yang, K.; Chen, Y.; Liu, R.; Zheng, J.; Roitberg, A.; Paudel, D. P.; Gool, L. Van; Stiefelhagen, R.
2025. arxiv
Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments
Wen, D.; Qi, L.; Peng, K.; Yang, K.; Teng, F.; Luo, A.; Fu, J.; Chen, Y.; Liu, R.; Shi, Y.; Sarfraz, M. S.; Stiefelhagen, R.
2025. arxiv. doi:10.48550/arXiv.2506.02845
Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants
Wen, D.; Zheng, J.; Liu, R.; Xu, Y.; Peng, K.; Stiefelhagen, R.
2025. 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1270–1276, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC58881.2025.11342511
Exploring Video-Based Driver Activity Recognition under Noisy Labels
Fan, L.; Wen, D.; Peng, K.; Yang, K.; Zhang, J.; Liu, R.; Chen, Y.; Zheng, J.; Wu, J.; Han, X.; Stiefelhagen, R.
2025. 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 153–159, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC58881.2025.11342850
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios
Peng, K.; Huang, J.; Huang, X.; Wen, D.; Zheng, J.; Chen, Y.; Yang, K.; Wu, J.; Hao, C.; Stiefelhagen, R.
2025. arxiv
A Knowledge-Based Intralogistic System for a Circular Factory
Klein, J.-F.; Wolf, R.; Ernst, A.; Shi, Y.; Schumacher, P.; Thapa, R. B.; Rayyes, R.; Furmans, K.
2025. Logistics journal / Proceedings. doi:10.2195/lj_proc_klein_202510_01
Human-Interpretable Uncertainty Explanations for Point Cloud Registration
Gaus, J. A.; Schneider, L.; Shi, Y.; Lee, J.; Rayyes, R.; Triebel, R.
2025. arxiv. doi:10.48550/arXiv.2509.18786
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
Jia, X.; Wang, Q.; Wang, A.; Wang, H. A.; Gyenes, B.; Gospodinov, E.; Jiang, X.; Li, G.; Zhou, H.; Liao, W.; Huang, X.; Beck, M.; Reuss, M.; Lioutikov, R.; Neumann, G.
2025. The Thirty-ninth Annual Conference on Neural Information Processing Systems; San Diego, USA, 02.-07.12.2025, 30 S
Condition-aware capacity planning for agile hybrid disassembly systems in remanufacturing
Wurster, M.; Feuerstein, T.; Bail, F.; May, M. C.; Wang, L.; Lanza, G.
2025. CIRP Journal of Manufacturing Science and Technology, 60, 234 – 247. doi:10.1016/j.cirpj.2025.04.008
Correlation of Process Parameters and Layer Charactristics in High-Speed Directed Energy Deposition Using Optical Coherence Tomography
Wexel, H.; Krull, C.; Gajek, P.; Maffia, S.; Stittgen, T.; Koß, S.; Schleifenbaum, J.; Zanger, F.
2025. D. Leigh & J. Beaman (Eds.), Proceedings of the 36th Annual International Solid Freeform Fabrication Symposium, Austin, TX, 10th-13th August 2025 Hrsg.: Leigh, David; Beaman, Joseph, 1047–1060, Minerals, Metals and Materials Society (TMS)
Towards design for cross-generational remanufacturing: guidelines to enable a forward-looking circularity
Tusch, L.; Nußbaumer, S.; Jäckle, M.; Düser, T.; Albers, A.
2025. Proceedings of the Design Society, 5, 3181–3190. doi:10.1017/pds.2025.10332
How to deal with products in circular economy: an approach to model specific design knowledge illustrated at the example of a circular factory for angle grinders
Hemmerich, J.; Kirn, A.; Walter, G.; Wittig, C.; Grauberger, P.; Matthiesen, S.
2025. Proceedings of the Design Society, 5, 1983–1992. doi:10.1017/pds.2025.10212
Adaptive production control for agile disassembly systems in remanufacturing
Wurster, M.; Erlenbusch, F.; Bail, F.; Lanza, G., (1); Stricker, N.
2025. CIRP Annals, 74 (1), 585–589. doi:10.1016/j.cirp.2025.03.044
From Toy Problems to Industrial Reality: The wbk Assembly Benchmark
Baumgärtner, J.; Kreft, L.; Puchta, A.; Fleischer, J.
2025, July 3. doi:10.35097/3c5yh8z8asafagby
Influence of Particle Size Distribution in High-Speed Directed Energy Deposition
Wexel, H.; Fischmann, P.; Drechsel, K.; Zanger, F.
2025. W.-G. Drossel, S. Ihlenfeldt & M. Dix (Eds.), Production at the Leading Edge of Technology – Proceedings of the 14th Congress of the German Academic Association for Production Technology (WGP), Chemnitz University of Technology, December 2024. Ed.: W.-G. Drossel, 273–280, Springer Nature Switzerland. doi:10.1007/978-3-031-86893-1_30
Scaffolding Dexterous Manipulation with Vision-Language Models
Bakker, V. de; Hejna, J.; Lum, T. G. W.; Celik, O.; Taranovic, A.; Blessing, D.; Neumann, G.; Bohg, J.; Sadigh, D.
2025. The 39th Annual Conference on Neural Information Processing Systems; San Diego, USA, 02.-07.12.2025, 16 S
Learning Optimal Design Manifolds to Design More Practical Robotic Systems
Baumgärtner, J.; Puchta, A.; Fleischer, J.
2025. 2025 IEEE International Conference on Robotics and Automation (ICRA), 8108–8113, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA55743.2025.11128579
DIME: Diffusion-Based Maximum Entropy Reinforcement Learning
Celik, O.; Li, Z.; Blessing, D.; Li, G.; Palenicek, D.; Peters, J.; Chalvatzaki, G.; Neumann, G.
2025. Forty-second International Conference on Machine Learning; Vancouver, Kanada, 13.-19.07.2025., 20 S., ICML
Data-Driven Decision-Making: Leveraging Digital Twins for Reprocessing in the Circular Factory
Afifi, N.; Mas, V. L.; Hemmerich, J.; Leitenberger, F.; Hoffmann, L.; Darijani, A.; Grauberger, P.; Heizmann, M.; Beyerer, J.; Matthiesen, S.
2025. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 120 (s1), 170–176. doi:10.1515/zwf-2024-0160
Influence of base plate preheating temperature on fatigue strength of AISI 4140 manufactured by laser powder bed fusion
Schüßler, P.; Dollhofer, B.; Krämer, C.; Englert, L.; Hinrichs, F.; Schulze, V.; Dietrich, S.
2025. Journal of Materials Research and Technology, 35, 1358–1368. doi:10.1016/j.jmrt.2025.01.073
Simulating X-ray beam energy and detector signal processing of an industrial CT using implicit neural representations
Blum, E.; Burmeister, M.; Stamer, F.; Lanza, G.
2025. implicit neural representations Hrsg.: Sijbers, Jan, 30 (2). doi:10.58286/30752
aas-middleware: Enabling Interoperable, Real-Time Integration for Smart Manufacturing
Behrendt, S.; Bail, F.; Benfer, M.; Lanza, G.
2025. IFAC-PapersOnLine, 59 (30), 671–676. doi:10.1016/j.ifacol.2025.12.315
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
Freymuth, N.; Würth, T.; Schreiber, N.; Gyenes, B.; Boltres, A.; Mitsch, J.; Taranovic, A.; Hoang, T.; Dahlinger, P.; Becker, P.; Kärger, L.; Neumann, G.
2025. The 39th Annual Conference on Neural Information Processing Systems (NeurlPS 2025), 39 S
A Roadmap to Create a Knowledge Graph for the Circular Factory for the Perpetual Product
Thapa, R. B.; Hernández, D.; Brandt, N.; Klein, J.-F.; Hoffmann, E.; Staab, S.; Selzer, M.; Lanza, G.
2025. Proceedings of The 3rd International Workshop on Knowledge Graphs for Sustainability (KG4S 2025) co-located with the 22nd Extended Semantic Web Conference (ESWC 2025). Ed.: E. Blomqvist, 46 – 52, CEUR-WS
Diffusion models for robotic manipulation: a survey
Wolf, R.; Shi, Y.; Liu, S.; Rayyes, R.
2025. Frontiers in Robotics and AI, 12, 1606247. doi:10.3389/frobt.2025.1606247
Towards Perpetual Innovative Products Through Circular Factories: Integration of Functional Behavior into System Reliability
Leitenberger, F.; Mas, V. L.; Afifi, N.; Kleinhans, L.; Hemmerich, J.; Matthiesen, S.
2025. Procedia CIRP, 136, 426–431. doi:10.1016/j.procir.2025.08.074
A Control Architecture for Robust and Resilient Circular Factories under Uncertain Conditions
Bail, F.; Baumgärtner, J.; Erlenbusch, F.; Ernst, A.; Poyer, M.; Blum, E.; Shi, Y.; Wolf, R.; Rayyes, R.; Pfrommer, J.; Stricker, N.; Fleischer, J.; Lanza, G.
2025. Procedia CIRP, 134, 1083 – 1088. doi:10.1016/j.procir.2025.02.236
Conceptual Framework for Synthetic Data Generation in Remanufacturing
Koch, D.; Stamer, F.; Lanza, G.
2025. Production at the Leading Edge of Technology : Proceedings of the 14th Congress of the German Academic Association for Production Technology (WGP), Chemnitz University of Technology, December 2024. Ed.: W.-G. Drossel, 317–325, Springer Nature Switzerland. doi:10.1007/978-3-031-86893-1_35
Beyond proxies: A direct time-optimal approach to robot cell layout optimization
Baumgärtner, J.; Puchta, A.; Fleischer, J., (1)
2025. CIRP Annals, 74 (1), 19–23. doi:10.1016/j.cirp.2025.04.079
Uncertainty Quantification and The Need for Better Understanding of Monte Carlo and Random Number Generation
Darijani, A.
2025. Proceedings of the 2024 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 19–32, KIT Scientific Publishing
Enhancing Visual Inspection in Remanufacturing: A Reinforcement Learning Approach with Integrated Robot Simulation
Koch, D.; Kaiser, J.-P.; Stamer, F.; Stark, R.; Lanza, G.
2025. Procedia CIRP, 134 (1), 939–944. doi:10.1016/j.procir.2025.02.228
Determine Input Parameters for Instance-Specific Reliability Models in the Circular Factory
Mas, V. L.; Hemmerich, J.; Leitenberger, F.; Matthiesen, S.
2025. Proceedings of the 35th European Safety and Reliability and the 33rd Society for Risk Analysis Europe Conference. Ed.: E.B. Abrahamsen Ed.: E. B. Abrahamsen, 830–837, Research Publishing (SCIRP). doi:10.3850/978-981-94-3281-3_ESREL-SRA-E2025-P0804-cd
Laser Tracker Placement Optimization for Highly Flexible Manufacturing Systems
Goebels, M.; Baumgärtner, J.; Puchta, A.; Fleischer, J.
2025. Production at the Leading Edge of Technology. Ed.: W.-G. Drossel, 334–341, Springer Nature Switzerland. doi:10.1007/978-3-031-86893-1_37
Methodical Approach to Instance-Specific Reliability Modeling for the Perpetual Innovative Product in the Circular Factory
Leitenberger, F.; Dörr, M.; Gwosch, T.; Matthiesen, S.
2025. ASME 2024 International Mechanical Engineering Congress and Exposition (IMECE) : Vol. 11: Safety Engineering, Risk and Reliability Analysis, Article: V011T14A024, The American Society of Mechanical Engineers (ASME). doi:10.1115/IMECE2024-144013
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning
Li, G.; Tian, D.; Zhou, H.; Jiang, X.; Lioutikov, R.; Neumann, G.
2025. The Thirteenth International Conference on Learning Representations, 60311–60340, International Conference on Learning Representations (ICLR)
Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models - A Survey
Kim, Y. H.; Ye, W.; Kumar, R.; Bail, F.; Dvorak, J.; Tan, Y.; May, M. C.; Chang, Q.; Athinarayanan, R.; Lanza, G.; Sutherland, J. W.; Li, X.; Nath, C.
2024. Algorithms, 17 (562), n.a. doi:10.3390/a17120562
Learning Spatial Bimanual Action Models Based on Affordance Regions and Human Demonstrations
Plonka, B. S.; Dreher, C.; Meixner, A.; Kartmann, R.; Asfour, T.
2024. 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), Nancy, 22nd-24th November 2024, 234–241, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Humanoids58906.2024.10769851
Towards Video-based Activated Muscle Group Estimation in the Wild
Peng, K.; Schneider, D.; Roitberg, A.; Yang, K.; Zhang, J.; Deng, C.; Zhang, K.; Sarfraz, M. S.; Stiefelhagen, R.
2024. Proceedings of the 32nd ACM International Conference on Multimedia, 4495–4504, Association for Computing Machinery (ACM). doi:10.1145/3664647.3680630
Skeleton-Based Human Action Recognition with Noisy Labels
Xu, Y.; Peng, K.; Wen, D.; Liu, R.; Zheng, J.; Chen, Y.; Zhang, J.; Roitberg, A.; Yang, K.; Stiefelhagen, R.
2024. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4716–4723, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS58592.2024.10801681
One Problem, One Solution: Unifying Robot Design and Cell Layout Optimization
Baumgärtner, J.; Puchta, A.; Fleischer, J.
2024. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, 14th-18th October 2024, 2292–2298, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS58592.2024.10801417
Enabling the vision of a perpetual innovative product – predicting function fulfillment of new product generations in a circular factory
Grauberger, P.; Dörr, M.; Lanza, G.; Kaiser, J.-P.; Albers, A.; Düser, T.; Tusch, L.; Seidler, M.; Dietrich, S.; Schulze, V.; Matthiesen, S.
2024. at - Automatisierungstechnik, 72 (9), 815–828. doi:10.1515/auto-2024-0010
Perpetual innovative products from circular factories for sustainable production
Lanza, G.; Martin, M.; Bretthauer, G.
2024. at - Automatisierungstechnik, 72 (9), 771–773. doi:10.1515/auto-2024-0107
The role of an ontology-based knowledge backbone in a circular factory
Hofmann, C.; Staab, S.; Selzer, M.; Neumann, G.; Furmans, K.; Heizmann, M.; Beyerer, J.; Lanza, G.; Pfrommer, J.; Düser, T.; Klein, J.-F.
2024. at - Automatisierungstechnik, 72 (9), 875–883. doi:10.1515/auto-2024-0006
Self-learning and autonomously adapting manufacturing equipment for the circular factory
Fleischer, J.; Zanger, F.; Schulze, V.; Neumann, G.; Stricker, N.; Furmans, K.; Pfrommer, J.; Lanza, G.; Hansjosten, M.; Fischmann, P.; Dvorak, J.; Klein, J.-F.; Rauscher, F.; Ebner, A.; May, M. C.; Gönnheimer, P.
2024. at - Automatisierungstechnik, 72 (9), 861–874. doi:10.1515/auto-2024-0005
Learning human actions from complex manipulation tasks and their transfer to robots in the circular factory = Erlernen menschlicher Handlungen aus komplexen Manipulationsaufgaben und deren Übertragung auf Roboter in einer Kreislauffabrik
Zaremski, M.; Handwerker, B.; Dreher, C. R. G.; Leven, F.; Schneider, D.; Roitberg, A.; Stiefelhagen, R.; Neumann, G.; Heizmann, M.; Asfour, T.; Deml, B.
2024. at - Automatisierungstechnik, 72 (9), 844–860. doi:10.1515/auto-2024-0008
The vision of the circular factory for the perpetual innovative product
Lanza, G.; Deml, B.; Matthiesen, S.; Martin, M.; Brützel, O.; Hörsting, R.
2024. at - Automatisierungstechnik, 72 (9), 774–788. doi:10.1515/auto-2024-0012
Managing uncertainty in product and process design for the circular factory
Heizmann, M.; Beyerer, J.; Dietrich, S.; Hoffmann, L.; Kaiser, J.-P.; Lanza, G.; Roitberg, A.; Stiefelhagen, R.; Stricker, N.; Wexel, H.; Zanger, F.
2024. at - Automatisierungstechnik, 72 (9), 829–843. doi:10.1515/auto-2024-0009
Multi-Objective Mathematical Optimization in Assisted Production Planning
Schäfer, L.; Tse, S.; May, M. C.; Lanza, G.
2024. EurOMA - Transforming People and Processes for a better World, Barcelona, 29.06.-04.07.2024
Circularity in product engineering – towards a forward-looking approach across product generations
Albers, A.; Tusch, L.; Jäckle, M.; Seidler, M.; Kempf, C.
2024. Proceedings of the Design Society, 4, 1 – 12. doi:10.1017/pds.2024.3
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
Wei, Y.; Peng, K.; Roitberg, A.; Zhang, J.; Zheng, J.; Liu, R.; Chen, Y.; Yang, K.; Stiefelhagen, R.
2024. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, 14th-19th April 2024, 6040 – 6044, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICASSP48485.2024.10447178
Referring atomic video action recognition
Peng, K.; Fu, J.; Yang, K.; Wen, D.; Chen, Y.; Liu, R.; Zheng, J.; Zhang, J.; Sarfraz, M. S.; Stiefelhagen, R.; Roitberg, A.
2024. Computer Vision – ECCV 2024. Ed.: A. Leonardis, 166–185, Springer. doi:10.1007/978-3-031-72655-2_10
Learning Symbolic and Subsymbolic Temporal Task Constraints from Bimanual Human Demonstrations
Dreher, C.; Asfour, T.
2024. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5160–5167, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS58592.2024.10802525
Towards Design for Cross-Generational Remanufacturing: A Literature Review and Concept Proposal
Tusch, L.; Jackle, M.; Albers, A.
2024. DS 130: Proceedings of NordDesign 2024, Reykjavik, Iceland, 12th - 14th August 2024. Ed.: J. Malmqvist, M. Candi, R. J. Sæmundsson, F. Byström, O. Isaksson, 206–215, The Design Society. doi:10.35199/NORDDESIGN2024.23
Data pipelines for product function prediction in circular factories
Hemmerich, J.; Dörr, L.; Wittig, C.; Grauberger, P.; Meyer, A.; Matthiesen, S.
2024. 35th Symposium Design for X (DFX2024), Bamberg 12th-13th September 2024. Proceedings, 105–114, The Design Society. doi:10.35199/dfx2024.11
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
Peng, K.; Wen, D.; Yang∗, K.; Luo, A.; Chen, Y.; Fu, J.; Saquib Sarfraz, M.; Roitberg, A.; Stiefelhagen, R.
2024. arxiv
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
Peng, K.; Wen, D.; Yang, K.; Luo, A.; Chen, Y.; Fu, J.; Sarfraz, M. S.; Roitberg, A.; Stiefelhagen, R.
2024. 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Celik, O.; Taranovic, A.; Neumann, G.
2024. Proceedings of the 41st International Conference on Machine Learning. Ed.: R. Salakhutdinov, 5907–5933, PMLR
Sonderforschungsbereich 1574: Kreislauffabrik für das ewige innovative Produkt – Integrierte lineare und zirkuläre Produktion mittels hochvernetztem Produkt-Produktions-CoDesign
Lanza, G.; Klenk, F.; Martin, M.; Brützel, O.; Hörsting, R.
2023. Zeitschrift für wirtschaftlichen Fabrikbetrieb, 118 (12), 820–825. doi:10.1515/zwf-2023-1164

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Ali Elhalawati, Anastasia Dimou, Olaf Hartig, Daniel Hernández

2025. EDBT/ICDT Workshops

A Roadmap to Create a Knowledge Graph for the Circular Factory for the Perpetual Product

Ratan Bahadur Thapa, Daniel Hernández, Nico Brandt, Jan-Felix Klein, Etienne Hoffmann, Steffen Staab, Michael Selzer, Gisela Lanza

2025. KG4S@ESWC 2025: 46-52

DAGE: DAG Query Answering via Relational Combinator with Logical Constraints

Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab

2025. WWW 2025: 2514-2529.

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, and Volker Tresp

2024. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 355–373, Miami, Florida, USA. Association for Computational Linguistics.

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, and Bo Ai

2024. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 14438–14451, Miami, Florida, USA. Association for Computational Linguistics.

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models

Zifeng Ding

2025. Trans. Mach. Learn. Res. 2025

Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction

Yuqicheng Zhu, Nico Potyka, Mojtaba Nayyeri, Bo Xiong, Yunjie He, Evgeny Kharlamov, and Steffen Staab

2024. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 334–354, Miami, Florida, USA. Association for Computational Linguistics.

Workshop on Knowledge Graphs

Eva Blomqvist, Raúl García-Castro, Daniel Hernández, Pascal Hitzler, Mikael Lindecrantz, María Poveda-Villalón

2025. Proceedings of The 3rd International Workshop on Knowledge Graphs for Sustainability (KG4S 2025) co-located with the 22nd Extended Semantic Web Conference (ESWC 2025), Portoroz, Slovenia, June 1st, 2025. CEUR Workshop Proceedings