D4UM auf dem MHP Lab

Im Rahmen der MHP Lab – A Porsche Company First Tuesday Veranstaltung mit dem Themenschwerpunkt “Mobility as a Service – don’t hesitate to cooperate!” (www.mhp.com/de/first-tuesday) hat die PROJEKTIONISTEN GmbH mit ihrer Mobilitätsmarke 1KLANG (www.1klang.mobi) an einem Stand und in Pitch und Podiumsdiskussion u.a. auch das Projekt Data4UrbanMobility vorgestellt. Somit konnten Einblicke in die Forschung rund um Data4UrbanMobility ermöglicht und interessierten Besuchern der Veranstaltung Fragen rund um die Mobilitätsforschung beantwortet werden.
Es konnten diverse Aspekte aus dem Portfolio des Urban Mobility Assistance (UMA) (www.urbanmobilityassistance.de), einem App Portfolio auf Basis von Entwicklungen der Wolfsburg AG und 1KLANG gezeigt werden. Hierin werden u.a. die Erkenntnisse aus D4UM zu Incentivierung und Community einfliessen. Ebenso konnte auch die Mobilitäts-App D4UM gezeigt werden, über welche Reiseauskünfte, Veranstaltungen und weitere nützliche Features für den Endnutzer abgerufen werden.
Auch die MiC-App (Move in the City) wurde gezeigt, welche als ein Cititzen Science Projekt weitere Daten über Tracking dem D4UM Projekt Daten zur Verfügung stellen kann. Hier sind in interessanten Diskussionen Möglichkeiten der Kooperation mit dem finnischen Unternehmen MOPRIM (www.moprim.com) erörtert worden.

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  • Towards Automatic Bias Analysis in Multimedia Journalism. Hinrichs, Reemt; Steffen, Hauke; Avetisyan, Hayastan; Broneske, David; Ostermann, Jörn (2025).
  • UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model. Kaiser, Timo; Norrenbrock, Thomas; Rosenhahn, Bodo (2025).
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  • Privacy-Preserving Training and Inference of CNNs: A Medical Performance Case Study. Prantl, Thomas; Schneider, Louis; Engel, Simon; Horn, Lukas; Borst, Vanessa; Krupitzer, Christian; Kounev, Samuel; Bonilla, Rafael in ICSC2025 (2025).
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  • Identification and Localization COVID-19 Abnormalities on Chest Radiographs. Pham, Van Tien; Nguyen, Thanh Phuong in Lecture Notes on Data Engineering and Communications Technologies, A. E. Hassanien, A. Haqiq, A. T. Azar, K. Santosh, M. A. Jabbar, A. Slowik, P. Subashini (eds.) (2023). (Vol. 164) 251–261.
  • CoRAL: a Context-aware Croatian Abusive Language Dataset. Shekhar, Ravi; Karan, Mladen; Purver, Matthew Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 217–225.
  • Automating Interlingual Homograph Recognition with Parallel Sentences. Han, Yi; Sasano, Ryohei; Takeda, Koichi Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 211–216.
  • Understanding the Use of Quantifiers in Mandarin. Chen, Guanyi; van Deemter, Kees Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 73–80.
  • LEATHER: A Framework for Learning to Generate Human-like Text in Dialogue. Sicilia, Anthony; Alikhani, Malihe Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 30–53.
  • A Multilingual Multiway Evaluation Data Set for Structured Document Translation of Asian Languages. Buschbeck, Bianka; Dabre, Raj; Exel, Miriam; Huck, Matthias; Huy, Patrick; Rubino, Raphael; Tanaka, Hideki Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 237–245.
  • Cross-domain Analysis on Japanese Legal Pretrained Language Models. Miyazaki, Keisuke; Yamada, Hiroaki; Tokunaga, Takenobu Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 274–281.
  • Open-Domain Conversational Question Answering with Historical Answers. Fang, Hung-Chieh; Hung, Kuo-Han; Huang, Chao-Wei; Chen, Yun-Nung Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 319–326.
  • Meta-Learning Adaptive Knowledge Distillation for Efficient Biomedical Natural Language Processing. Obamuyide, Abiola; Johnston, Blair Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 131–137.
  • Efficient Entity Embedding Construction from Type Knowledge for BERT. Feng, Yukun; Fayazi, Amir; Rastogi, Abhinav; Okumura, Manabu Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 1–10.
  • Chop and Change: Anaphora Resolution in Instructional Cooking Videos. Oguz, Cennet; Kruijff-Korbayová, Ivana; Vincent, Emmanuel; Denis, Pascal; van Genabith, Josef Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 364–374.
  • Assessing How Users Display Self-Disclosure and Authenticity in Conversation with Human-Like Agents: A Case Study of Luda Lee. Cho, Won-Ik; Kim, Soomin; Choi, Eujeong; Jeong, Younghoon Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 145–152.
  • Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity. Alaçam, Özge; Ruppert, Eugen; Zarrieß, Sina; Malhotra, Ganeshan; Biemann, Chris Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 197–210.
  • A Hybrid Architecture for Labelling Bilingual Māori-English Tweets. Trye, David; Yogarajan, Vithya; König, Jemma L.; Keegan, Te Taka; Bainbridge, David; Apperley, Mark D. Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 119–130.
  • Robustness Evaluation of Text Classification Models Using Mathematical Optimization and Its Application to Adversarial Training. Tomonari, Hikaru; Nishino, Masaaki; Yamamoto, Akihiro Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 327–333.
  • Spa: On the Sparsity of Virtual Adversarial Training for Dependency Parsing. Lou, Chao; Han, Wenjuan; Tu, Kewei Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 11–21.
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  • Conceptual Similarity for Subjective Tags. Gaci, Yacine; Benatallah, Boualem; Casati, Fabio; Benabdeslem, Khalid Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 54–66.
  • Does Representational Fairness Imply Empirical Fairness?. Shen, Aili; Han, Xudong; Cohn, Trevor; Baldwin, Timothy; Frermann, Lea Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 81–95.
  • "#DisabledOnIndianTwitter" : A Dataset towards Understanding the Expression of People with Disabilities on Indian Twitter. Mondal, Ishani; Kaur, Sukhnidh; Bali, Kalika; Vashistha, Aditya; Swaminathan, Manohar Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 375–386.
  • The Effects of Surprisal across Languages: Results from Native and Non-native Reading. de Varda, Andrea Gregor; Marelli, Marco Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 138–144.
  • Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. Montariol, Syrielle; Riabi, Arij; Seddah, Djamé Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 347–363.
  • Block Diagram-to-Text: Understanding Block Diagram Images by Generating Natural Language Descriptors. Bhushan, Shreyanshu; Lee, Minho Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 153–168.
  • Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation. Palomino, Alonso; Khatib, Khalid Al; Potthast, Martin; Stein, Benno Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 411–421.
  • HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. Li, Yizhi; Zhang, Ge; Yang, Bohao; Lin, Chenghua; Ragni, Anton; Wang, Shi; Fu, Jie Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 334–346.
  • BeamR: Beam Reweighing with Attribute Discriminators for Controllable Text Generation. Landsman, David; Chen, Jerry Zikun; Zaidi, Hussain Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 422–437.
  • A Simple yet Effective Learnable Positional Encoding Method for Improving Document Transformer Model. Wang, Guoxin; Lu, Yijuan; Cui, Lei; Lv, Tengchao; Florêncio, Dinei A. F.; Zhang, Cha Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 453–463.
  • GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. Li, Ping; Zhao, Weijie M. A. Hasan, L. Xiong (eds.) (2022). 1188–1198.
  • MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization. Niu, Hui; Li, Siyuan; Li, Jian M. A. Hasan, L. Xiong (eds.) (2022). 1573–1583.
  • MMM: An Emotion and Novelty-aware Approach for Multilingual Multimodal Misinformation Detection. Gupta, Vipin; Kumari, Rina; Ashok, Nischal; Ghosal, Tirthankar; Ekbal, Asif Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 464–477.
  • A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation. Hirigoyen, Rose; Zouaq, Amal; Reyd, Samuel Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 226–236.
  • Hierarchical Processing of Visual and Language Information in the Brain. Kawasaki, Haruka; Nishida, Satoshi; Kobayashi, Ichiro Y. He, H. Ji, Y. Liu, S. Li, C.-H. Chang, S. Poria, C. Lin, W. L. Buntine, M. Liakata, H. Yan, Z. Yan, S. Ruder, X. Wan, M. Arana-Catania, Z. Wei, H.-H. Huang, J.-L. Wu, M.-Y. Day, P. Liu, R. Xu (eds.) (2022). 405–410.
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