Huan Li

Orcid: 0000-0003-0084-1662

Affiliations:
  • Zhejiang University, Department of Computer Science and Technology, Hangzhou, China
  • Aalborg University, Denmark


According to our database1, Huan Li authored at least 49 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation.
World Wide Web (WWW), March, 2024

Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI.
CoRR, 2024

Revisiting CNNs for Trajectory Similarity Learning.
CoRR, 2024

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

BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation.
Proc. VLDB Endow., November, 2023

Contact Tracing Over Uncertain Indoor Positioning Data.
IEEE Trans. Knowl. Data Eng., October, 2023

Efficiently computing alternative paths in game maps.
World Wide Web (WWW), September, 2023

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

Time-constrained indoor keyword-aware routing: foundations and extensions.
GeoInformatica, July, 2023

Towards Indoor Temporal-Variation Aware Shortest Path Query.
IEEE Trans. Knowl. Data Eng., 2023

LightCTS: A Lightweight Framework for Correlated Time Series Forecasting.
Proc. ACM Manag. Data, 2023

Spatial Data Quality in the Internet of Things: Management, Exploitation, and Prospects.
ACM Comput. Surv., 2023

Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version).
CoRR, 2023

Contact Tracing over Uncertain Indoor Positioning Data (Extended Version).
CoRR, 2023

Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version).
CoRR, 2023

FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Data Imputation for Sparse Radio Maps in Indoor Positioning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

TPUF: Enhancing Cross-domain Sequential Recommendation via Transferring Pre-trained User Features.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments.
Proc. VLDB Endow., 2022

Continuous Social Distance Monitoring in Indoor Space.
Proc. VLDB Endow., 2022

Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty.
Frontiers Big Data, 2022

GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Spatial Data Quality in the IoT Era: Management and Exploitation.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

IKAROS: An Indoor Keyword-Aware Routing System.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Diverse Shortest Paths in Game Maps: A Comparative User Study and Experiments.
Proceedings of the Databases Theory and Applications, 2022

2021
Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.
Sensors, 2021

Towards Crowd-aware Indoor Path Planning.
Proc. VLDB Endow., 2021

Towards Crowd-aware Indoor Path Planning (Extended Version).
CoRR, 2021

Impact of COVID-19 on Adoption of IoT in Different Sectors.
CoRR, 2021

Time-Constrained Indoor Keyword-aware Routing.
Proceedings of the 17th International Symposium on Spatial and Temporal Databases, 2021

Indoor Spatial Queries: Modeling, Indexing, and Processing.
Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020
Toward Translating Raw Indoor Positioning Data into Mobility Semantics.
Trans. Data Sci., 2020

An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing.
CoRR, 2020

Shortest Path Queries for Indoor Venues with Temporal Variations.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Indoor Top-k Keyword-aware Routing Query.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Indoor Mobility Semantics Annotation Using Coupled Conditional Markov Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Finding Most Popular Indoor Semantic Locations Using Uncertain Mobility Data.
IEEE Trans. Knowl. Data Eng., 2019

2018
In Search of Indoor Dense Regions: An Approach Using Indoor Positioning Data.
IEEE Trans. Knowl. Data Eng., 2018

TRIPS: A System for Translating Raw Indoor Positioning Data into Visual Mobility Semantics.
Proc. VLDB Endow., 2018

2016
Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings.
Proc. VLDB Endow., 2016

2015
E<sup>2</sup>C<sup>2</sup>: efficient and effective camera calibration in indoor environments.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015


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