Liwei Deng

Orcid: 0000-0002-9377-4309

Affiliations:
  • University of Electronic Science and Technology of China, Chengdu, China


According to our database1, Liwei Deng authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing.
VLDB J., January, 2024

2023
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing.
ACM Trans. Inf. Syst., October, 2023

Parameterized Decision-making with Multi-modal Perception for Autonomous Driving.
CoRR, 2023

S2TUL: A Semi-Supervised Framework for Trajectory-User Linking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity.
Proceedings of the Database Systems for Advanced Applications, 2023

Fusing Local and Global Mobility Patterns for Trajectory Recovery.
Proceedings of the Database Systems for Advanced Applications, 2023

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach.
ACM Trans. Intell. Syst. Technol., 2022

A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis.
CoRR, 2022

Outlier Detection for Streaming Task Assignment in Crowdsourcing.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CityCross: Transferring Attention-based Knowledge for Location-based Advertising Recommendation.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

Efficient Join Order Selection Learning with Graph-based Representation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Task Assignment with Federated Preference Learning in Spatial Crowdsourcing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Trajectory Similarity Computation with Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Community-based influence maximization in location-based social network.
World Wide Web, 2021

METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting.
Proc. VLDB Endow., 2021

DAEMON: Unsupervised Anomaly Detection and Interpretation for Multivariate Time Series.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Fair Representation Learning in Knowledge-aware Recommendation.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Personalized Dynamic Knowledge-Aware Recommendation with Hybrid Explanations.
Proceedings of the Database Systems for Advanced Applications, 2021

HIFI: Anomaly Detection for Multivariate Time Series with High-order Feature Interactions.
Proceedings of the Database Systems for Advanced Applications, 2021

PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Subgraph Convolutional Network for Recommendation.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2019
Hidden POI Ranking with Spatial Crowdsourcing.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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