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Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.

M. Neun, C. Eichenberger, H. Martin, M. Spanring, R. Siripurapu, D. Springer, L. Deng, C. Wu, D. Lian, M. Zhou, M. Lumiste, A. Ilie, X. Wu, C. Lyu, Q. Lu, V. Mahajan, Y. Lu, J. Li, J. Li, Y. Gong, F. Grötschla, J. Mathys, Y. Wei, H. Haitao, H. Fang, K. Malm, F. Tang, M. Kopp, D. Kreil, and S. Hochreiter. NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 251-278. PMLR, (2021)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Changzhu Wu

Yinghua Wu

Jinjin Wu

Haiyan Wu

Other publications of authors with the same name

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems.C. Wu, D. Lian, Y. Ge, Z. Zhu, and E. Chen. KDD, page 1830-1840. ACM, (2021)A Crop-Based Multi-Branch Network for Matching Cost Computation.Y. Chen, Y. Xia, and C. Wu. CISP-BMEI, page 1-9. IEEE, (2018)Towards Robust Recommender Systems via Triple Cooperative Defense.Q. Wang, D. Lian, C. Wu, and E. Chen. WISE, volume 13724 of Lecture Notes in Computer Science, page 564-578. Springer, (2022)Understanding Privacy Risks of Embeddings Induced by Large Language Models.Z. Zhu, N. Shao, D. Lian, C. Wu, Z. Liu, Y. Yang, and E. Chen. CoRR, (2024)When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.J. Chen, Z. Liu, X. Huang, C. Wu, Q. Liu, G. Jiang, Y. Pu, Y. Lei, X. Chen, X. Wang and 2 other author(s). CoRR, (2023)Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.Z. Zhu, C. Wu, M. Zhou, H. Liao, D. Lian, and E. Chen. ECML/PKDD (3), volume 13715 of Lecture Notes in Computer Science, page 251-268. Springer, (2022)Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.M. Neun, C. Eichenberger, H. Martin, M. Spanring, R. Siripurapu, D. Springer, L. Deng, C. Wu, D. Lian, M. Zhou and 20 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 251-278. PMLR, (2021)GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction.C. Su, C. Wu, and D. Lian. ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 2218-2225. IOS Press, (2023)Attacking Social Media via Behavior Poisoning.C. Wu, D. Lian, Y. Ge, M. Zhou, and E. Chen. ACM Trans. Knowl. Discov. Data, 18 (7): 169 (August 2024)Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples.C. Wu, W. Luo, N. Zhou, P. Xu, and T. Zhu. CEC, page 1792-1799. IEEE, (2021)

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Disambiguation of "Wu, Chenwang"

Please choose a person to relate this publication to

Jinglan Wu

Changzhu Wu

Yinghua Wu

Jinjin Wu

Haiyan Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Chenwang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.

Please choose a person to relate this publication to

Jinglan Wu

Changzhu Wu

Yinghua Wu

Jinjin Wu

Haiyan Wu

Other publications of authors with the same name

Disambiguation