Yan Zhao

Orcid: 0000-0002-0242-3707

Affiliations:
  • Aalborg University, Denmark
  • Soochow University, School of Computer Science and Technology, Institute of Artificial Intelligence, Suzhou, China (former)


According to our database1, Yan Zhao authored at least 92 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation.
IEEE Trans. Knowl. Data Eng., December, 2024

Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework.
IEEE Trans. Knowl. Data Eng., September, 2024

Uncertainty-Aware Temporal Graph Convolutional Network for Traffic Speed Forecasting.
IEEE Trans. Intell. Transp. Syst., August, 2024

Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle.
IEEE Trans. Knowl. Data Eng., July, 2024

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks.
Proc. VLDB Endow., July, 2024

Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting.
IEEE Trans. Knowl. Data Eng., May, 2024

TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
IEEE Trans. Knowl. Data Eng., May, 2024

Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., April, 2024

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

Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version.
CoRR, 2024

Conditional Lagrangian Wasserstein Flow for Time Series Imputation.
CoRR, 2024

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks - Extended Version.
CoRR, 2024

E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.
Proceedings of the ACM on Web Conference 2024, 2024

Preventing the Popular Item Embedding Based Attack in Federated Recommendations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

LightTR: A Lightweight Framework for Federated Trajectory Recovery.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Learning to Hash for Trajectory Similarity Computation and Search.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency.
IEEE Trans. Knowl. Data Eng., October, 2023

Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., September, 2023

Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing.
Data Sci. Eng., September, 2023

Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency.
IEEE Trans. Knowl. Data Eng., August, 2023

LightCTS: A Lightweight Framework for Correlated Time Series Forecasting.
Proc. ACM Manag. Data, 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

Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

Uncertainty Quantification for Traffic Forecasting: A Unified Approach.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Learned Bloom Filter for Multi-key Membership Testing.
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

Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ST-MoE: Spatio-Temporal Mixture-of-Experts for Debiasing in Traffic Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

The Research of Relevant Theory and Techniques for Spatial Crowdsourcing.
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022
Sequential-Knowledge-Aware Next POI Recommendation: A Meta-Learning Approach.
ACM Trans. Inf. Syst., 2022

Preference-Aware Task Assignment in Spatial Crowdsourcing: From Individuals to Groups.
IEEE Trans. Knowl. Data Eng., 2022

Modeling Spatial Trajectories With Attribute Representation Learning.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Similarity-Aware Influence Maximization in Geo-Social Network.
IEEE Trans. Knowl. Data Eng., 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

Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey.
CoRR, 2022

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection - Extended Version.
CoRR, 2022

Influence-aware Task Assignment in Spatial Crowdsourcing (Technical Report).
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

Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Anomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Influence-aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

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

Loyalty-based Task Assignment 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

Task Publication Time Recommendation in Spatial Crowdsourcing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Efficient Learning with Pseudo Labels for Query Cost Estimation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Task Assignment with Spatio-temporal Recommendation in Spatial Crowdsourcing.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

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

A-DSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System.
IEEE Trans. Knowl. Data Eng., 2021

Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach.
Proceedings of the IEEE International Conference on Data Mining, 2021

Fairness-aware Task Assignment in Spatial Crowdsourcing: Game-Theoretic Approaches.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Coalition-based Task Assignment in Spatial Crowdsourcing.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

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

Task Allocation with Geographic Partition in Spatial Crowdsourcing.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Task Assignment with Worker Churn Prediction in Spatial Crowdsourcing.
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

2020
Temporal paths discovery with multiple constraints in attributed dynamic graphs.
World Wide Web, 2020

Destination-Aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach.
IEEE Trans. Knowl. Data Eng., 2020

Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing.
IEEE Trans. Knowl. Data Eng., 2020

Hybrid route recommendation with taxi and shared bicycles.
Distributed Parallel Databases, 2020

Consensus-Based Group Task Assignment with Social Impact in Spatial Crowdsourcing.
Data Sci. Eng., 2020

Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

DeepQT : Learning Sequential Context for Query Execution Time Prediction.
Proceedings of the Database Systems for Advanced Applications, 2020

Intention-Based Destination Recommendation in Navigation Systems.
Proceedings of the Database Systems for Advanced Applications, 2020

Group Task Assignment with Social Impact-Based Preference in Spatial Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2020

Multi-modal Knowledge Graphs for Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Social context-aware trust paths finding for trustworthy service provider selection in social media.
Multim. Tools Appl., 2019

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

Profit-driven Task Assignment in Spatial Crowdsourcing.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Top-K Spatio-Topic Query on Social Media Data.
Proceedings of the Database Systems for Advanced Applications, 2019

Music Playlist Recommendation with Long Short-Term Memory.
Proceedings of the Database Systems for Advanced Applications, 2019

Preference-Aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Mining High-Quality Fine-Grained Type Information from Chinese Online Encyclopedias.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

REST: A Reference-based Framework for Spatio-temporal Trajectory Compression.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Modeling Travel Behavior Similarity with Trajectory Embedding.
Proceedings of the Database Systems for Advanced Applications, 2018

A Time-Aware Path-Based Publish/Subscribe Framework.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Destination-aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Novel Hybrid Friends Recommendation Framework for Twitter.
Proceedings of the Web and Big Data - First International Joint Conference, 2017


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