• Selma Lagerløfs Vej 300

    9220 Aalborg Øst

    Danmark

  • Selma Lagerløfs Vej 300, 3-2-38

    9220 Aalborg Ø

    Danmark

20202024

Publikationer pr. år

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Søgeresultater

  • 2023

    Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation

    Chen, X., Deng, L., Zhao, Y. & Zheng, K., 27 feb. 2023, WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, s. 267-275 9 s.

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    5 Citationer (Scopus)
  • CityCross: Transferring Attention-based Knowledge for Location-based Advertising Recommendation

    Qiu, D., Wang, Y., Zhao, Y., Deng, L. & Zheng, K., 2023, Proceedings - IEEE International Conference on Mobile Data Management: MDM 2022. IEEE, s. 254-261 8 s.

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    1 Citationer (Scopus)
  • Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning

    Liang, Z., Chen, X., Zhao, Y., Xie, J., Zeng, K. & Zheng, K., 2023, IEEE International Conference on Data Mining (ICDM). IEEE, s. 388-397 (ICDM).

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  • Fusing Local and Global Mobility Patterns for Trajectory Recovery

    Deng, L., Zhao, Y., Sun, H., Yang, C., Xie, J. & Zheng, K., 2023, Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023. Wang, X., Sapino, M. L., Han, W-S., El Abbadi, A., Dobbie, G., Feng, Z., Shao, Y. & Yin, H. (red.). s. 448-463 16 s. (Lecture Notes in Computer Science; Nr. 13943).

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  • Learned Bloom Filter for Multi-key Membership Testing

    Li, Y., Wang, Z., Yang, R., Zhao, Y., Zhou, R. & Zheng, K., 2023, Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Proceedings: 28th International Conference, DASFAA 2023. Wang, X., Sapino, M. L., Han, W-S., Abbadi, A. E., Dobbie, G., Feng, Z., Shao, Y. & Yin, H. (red.). Springer Nature Switzerland AG, s. 62-79 18 s. (Lecture Notes in Computer Science; Nr. 13943).

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    3 Citationer (Scopus)
  • Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing

    Zhong, X., Miao, H., Qiu, D., Zhao, Y. & Zheng, K., 21 okt. 2023, Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM '23). Association for Computing Machinery, s. 3534-3543 10 s.

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    1 Citationer (Scopus)
  • S 2TUL: A Semi-Supervised Framework for Trajectory-User Linking

    Deng, L., Sun, H., Zhao, Y., Liu, S. & Zheng, K., 27 feb. 2023, WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, s. 375-383 9 s.

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    5 Citationer (Scopus)
  • SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity

    Zhang, Y., Deng, L., Zhao, Y., Chen, J., Xie, J. & Zheng, K., 2023, Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17–20, 2023, Proceedings, Part I. Wang, X., Sapino, M. L., Han, W-S., El Abbadi, A., Dobbie, G., Feng, Z., Shao, Y. & Yin, H. (red.). Springer, s. 431-447 17 s. (Lecture Notes in Computer Science, Bind LNCS 13943).

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    2 Citationer (Scopus)
  • ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction

    Li, S., Cui, Y., Zhao, Y., Yang, W., Zhang, R. & Zhou, X., 21 okt. 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 1208–1217 10 s.

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    1 Citationer (Scopus)
  • Task Assignment with Spatio-temporal Recommendation in Spatial Crowdsourcing

    Zhu, C., Cui, Y., Zhao, Y. & Zheng, K., 2023, Web and Big Data: 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25–27, 2022, Proceedings, Part I. Li, B., Tao, C., Yue, L., Han, X., Calvanese, D. & Amagasa, T. (red.). Springer, s. 264-279 16 s. (Lecture Notes in Computer Science, Bind LNCS 13421).

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    2 Citationer (Scopus)
  • Uncertainty Quantification for Traffic Forecasting: A Unified Approach

    Qian, W., Zhang, D., Zhao, Y., Zheng, K. & Yu, J. J. Q., 2023, Proceedings - 2023 IEEE 39th International Conference on Data Engineering, ICDE 2023. IEEE Computer Society Press, s. 992-1004 13 s. (Proceedings of the International Conference on Data Engineering).

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    11 Citationer (Scopus)
  • 2022

    Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders

    Kieu, T., Yang, B., Guo, C., Cirstea, R-G., Zhao, Y., Song, Y. & Jensen, C. S., 2022, Proceeding of the 38th IEEE International Conference on Data Engineering, ICDE 2022. IEEE, s. 1342-1354 13 s.

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    32 Citationer (Scopus)
  • Efficient Join Order Selection Learning with Graph-based Representation

    Chen, J., Ye, G., Zhao, Y., Liu, S., Deng, L., Chen, X., Zhou, R. & Zheng, K., 14 aug. 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, s. 97-107 11 s.

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    10 Citationer (Scopus)
  • Efficient Learning with Pseudo Labels for Query Cost Estimation

    Liu, S., Chen, X., Zhao, Y., Chen, J., Zhou, R. & Zheng, K., 2022, CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, s. 1309-1318

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    5 Citationer (Scopus)
  • Efficient Trajectory Similarity Computation with Contrastive Learning

    Deng, L., Zhao, Y., Fu, Z., Sun, H., Liu, S. & Zheng, K., 2022, CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, s. 365–374

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    18 Citationer (Scopus)
  • Influence-aware Task Assignment in Spatial Crowdsourcing

    Chen, X., Zhao, Y., Zheng, K., Yang, B. & Jensen, C. S., aug. 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE, s. 2141-2153 13 s.

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    14 Citationer (Scopus)
  • Loyalty-based Task Assignment in Spatial Crowdsourcing

    Lai, T., Zhao, Y., Qian, W. & Zheng, K., 2022, CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, s. 1014–1023

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    5 Citationer (Scopus)
  • Outlier Detection for Streaming Task Assignment in Crowdsourcing.

    Zhao, Y., Chen, X., Deng, L., Kieu, T., Guo, C., Yang, B., Zheng, K. & Jensen, C. S., 2022, Proceedings of the ACM Web Conference 2022, WWW 2022. Association for Computing Machinery, s. 1933-1943 11 s.

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    18 Citationer (Scopus)
  • Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection

    Kieu, T., Yang, B., Guo, C., Jensen, C. S., Zhao, Y., Huang, F. & Zheng, K., 2022, Proceeding of the 38th IEEE International Conference on Data Engineering, ICDE 2022. IEEE, s. 3038-3050 13 s.

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    31 Citationer (Scopus)
  • Task Assignment with Federated Preference Learning in Spatial Crowdsourcing

    Liu, J., Deng, L., Miao, H., Zhao, Y. & Zheng, K., 2022, CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, s. 1279-1288

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    10 Citationer (Scopus)
  • Task Publication Time Recommendation in Spatial Crowdsourcing

    Chen, X., Zhao, Y. & Zheng, K., 2022, CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, s. 232–241

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    4 Citationer (Scopus)
  • 2021

    Coalition-based task assignment in spatial crowdsourcing

    Zhao, Y., Guo, J., Chen, X., Hao, J., Zhou, X. & Zheng, K., apr. 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE Computer Society Press, s. 241-252 12 s. 9458777. (Proceedings - International Conference on Data Engineering).

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    46 Citationer (Scopus)
  • DAEMON: Unsupervised anomaly detection and interpretation for multivariate time series

    Chen, X., Deng, L., Huang, F., Zhang, C., Zhang, Z., Zhao, Y. & Zheng, K., apr. 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE, s. 2225-2230 6 s. 9458835. (Proceedings - International Conference on Data Engineering, Bind 2021-April).

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    62 Citationer (Scopus)
  • Fairness-aware task assignment in spatial crowdsourcing: Game-theoretic approaches

    Zhao, Y., Zheng, K., Guo, J., Yang, B., Pedersen, T. B. & Jensen, C. S., apr. 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE, s. 265-276 12 s. (Proceedings - International Conference on Data Engineering, Bind 2021-April).

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    57 Citationer (Scopus)
  • HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions

    Deng, L., Chen, X., Zhao, Y. & Zheng, K., 2021, Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Proceedings. Jensen, C. S., Lim, E-P., Yang, D-N., Lee, W-C., Tseng, V. S., Kalogeraki, V., Huang, J-W. & Shen, C-Y. (red.). Springer, s. 641-649 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12681 LNCS).

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    5 Citationer (Scopus)
  • Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework

    Liu, S., Su, H., Zhao, Y., Zeng, K. & Zheng, K., 14 aug. 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, s. 3343-3353 11 s.

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    20 Citationer (Scopus)
  • Personalized Dynamic Knowledge-Aware Recommendation with Hybrid Explanations

    Sun, H., Wu, Z., Cui, Y., Deng, L., Zhao, Y. & Zheng, K., 2021, Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Proceedings. Jensen, C. S., Lim, E-P., Yang, D-N., Lee, W-C., Tseng, V. S., Kalogeraki, V., Huang, J-W. & Shen, C-Y. (red.). Springer, s. 148-164 17 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12683 LNCS).

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    4 Citationer (Scopus)
  • Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach

    Li, Y., Zhao, Y. & Zheng, K., 2021, Proceedings - 21st IEEE International Conference on Data Mining, ICDM 2021. Bailey, J., Miettinen, P., Koh, Y. S., Tao, D. & Wu, X. (red.). IEEE, s. 350-359 10 s. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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    18 Citationer (Scopus)
  • Subgraph Convolutional Network for Recommendation

    Zhao, Y., Zhou, L., Deng, L., Zheng, V. W., Yin, H. & Zheng, K., 2021, Proceedings of 2021 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021. Li, D., Zhou, M., Wang, W., Zou, Y., Luo, M. & Zhang, Q. (red.). IEEE, s. 15-19 5 s.

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  • Task Allocation with Geographic Partition in Spatial Crowdsourcing

    Ye, G., Zhao, Y., Chen, X. & Zheng, K., 26 okt. 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2404-2413 10 s.

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    24 Citationer (Scopus)
  • Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing

    Wang, Z., Zhao, Y., Chen, X. & Zheng, K., 26 okt. 2021, CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 2070-2079 10 s.

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    22 Citationer (Scopus)
  • 2020

    Multi-modal Knowledge Graphs for Recommender Systems

    Sun, R., Cao, X., Zhao, Y., Wan, J., Zhou, K., Zhang, F., Wang, Z. & Zheng, K., 19 okt. 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, s. 1405-1414 10 s.

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    172 Citationer (Scopus)