Acknowledgements

Huan would like to thank all his co-authors for their guide and inspiration. An non-exhaustive list (not updated any more):

My main emphasis is on presenting my work at premier data science and data engineering venues. For a list of my publications, please refer to DBLP and Google Scholar (however, it’s important to note that the information may not be up-to-date).

Year 2024

  • BoKA: Bayesian optimization based knowledge amalgamation for multi-unknown-domain text classification.
    Linzhu Yu, Huan Li, Ke Chen, and Lidan Shou.
    The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • ReCTSi: Resource-efficient correlated time series imputation via decoupled pattern learning and completeness-aware attentions.
    Zhichen Lai, Dalin Zhang, Huan Li, Dongxiang Zhang, Hua Lu, and Christian S. Jensen.
    The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • Draft & verify: Lossless large language model acceleration via self-speculative decoding.
    Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen and Sharad Mehrotra.
    The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) MAIN.
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • E2USD: Efficient-yet-effective unsupervised state detection for multivariate time series.
    Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, and Christian S. Jensen.
    The ACM Web Conference 2024 (WWW) ORAL.
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • LightTR: A lightweight framework for federated trajectory recovery.
    Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, and Huan Li.
    The 40th IEEE International Conference on Data Engineering (ICDE).
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • LightCTS*: Lightweight correlated time series forecasting enhanced with model distillation.
    Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, and Yan Zhao.
    IEEE Transactions on Knowledge and Data Engineering (TKDE).
    DOI
    JOURNAL
    CCF-A
    CORE-A*
    JCR Top 15%

  • Contact tracing over uncertain indoor positioning data (extended abstract).
    Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan.
    The 40th IEEE International Conference on Data Engineering (ICDE).
    DOI
    POSTER
    CONFERENCE
    CCF-A
    CORE-A*

  • PACIFIC: Enhancing sequential recommendation via preference-aware causal intervention and counterfactual data augmentation.
    Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, and Xiongnan Jin
    The 33rd ACM International Conference on Information & Knowledge Management (CIKM).
    DOI
    CONFERENCE
    CCF-B
    CORE-A

  • EMPNet: An Extract-Map-Predict neural network architecture for cross-domain recommendation.
    Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Xiongnan Jin, Kuien Liu, Hongjun Li, and Yongheng Wang.
    World Wide Web Journal.
    DOI
    JOURNAL
    CCF-B
    SJR Q1

Year 2023

  • Contact tracing over uncertain indoor positioning data.
    Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan.
    IEEE Transactions on Knowledge and Data Engineering (TKDE).
    DOI
    EXTENSION
    JOURNAL
    CCF-A
    CORE-A*
    JCR Top 15%

  • Worker-churn-based task assignment with context-LSTM in spatial crowdsourcing.
    Yan Zhao, Tinghao Lai, Ziwei Wang, Kaixuan Chen, Huan Li, and Kai Zheng.
    IEEE Transactions on Knowledge and Data Engineering (TKDE).
    DOI
    JOURNAL
    CCF-A
    CORE-A*
    JCR Top 15%

  • LightCTS: A lightweight framework for correlated time series forecasting.
    Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, and Yan Zhao.
    2023 ACM SIGMOD International Conference on Management of Data (SIGMOD).
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • Missing value imputation for multi-attribute sensor data streams via message propagation.
    Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, and Volker Markl.
    The 49th International Conference on Very Large Data Bases (VLDB).
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • Data imputation for sparse radio maps in indoor positioning.
    Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, and Christian S. Jensen.
    The 39th IEEE International Conference on Data Engineering (ICDE).
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • Preventing the popular item embedding based attack in federated recommendations.
    Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, and Lidan Shou.
    The 40th IEEE International Conference on Data Engineering (ICDE).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • FedBFPT: An efficient federated learning framework for Bert further pre-training.
    Xin'ao Wang, Huan Li, Ke Chen, and Lidan Shou.
    The 32nd International Joint Conference on Artificial Intelligence (IJCAI).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • Review on session-based recommendation methods.
    Jinpeng Chen, Haiyang Li, Fan Zhang, Huan Li, and Kaimin Wei.
    Journal of Chinese Information Processing.
    DOI
    JOURNAL
    CCF-T1

  • TPUF: Enhancing cross-domain sequential recommendation via transferring pre-trained user features.
    Yujia Ding, Huan Li, Ke Chen, and Lidan Shou.
    The 32nd ACM International Conference on Information & Knowledge Management (CIKM).
    DOI
    CONFERENCE
    CCF-B
    CORE-A

  • Time-constrained indoor keyword-aware routing: Foundations and extensions.
    Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu.
    Geoinformatica (Special Issue of SSTD21 Best Papers).
    DOI
    JOURNAL
    CCF-B
    SJR Q1

  • Efficiently computing alternative paths in game maps.
    Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, and Huan Li.
    World Wide Web Journal.
    DOI
    JOURNAL
    CCF-B
    SJR Q1

Year 2022

  • Spatial data quality in the Internet of Things: Management, exploitation, and prospects.
    Huan Li, Hua Lu, Christian S. Jensen, Bo Tang, and Muhammad Aamir Cheema.
    ACM Computing Surveys, 55(3) No.26: 1-41.
    DOI
    GREEN OPENACCESS
    JOURNAL
    CORE-A*
    JCR Top 5%
    IF: 14.324

  • Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty.
    Huan Li, Tiantian Liu, Harry Kai-Ho Chan, and Hua Lu.
    Frontiers in Big Data, Rising Stars in Data Mining and Management 2022.
    DOI
    JOURNAL
    SJR Q1

  • Spatial data quality in the IoT era: Management and exploitation.
    Huan Li, Bo Tang, Hua Lu, Muhammad Aamir Cheema, and Christian S. Jensen.
    2022 ACM SIGMOD International Conference on Management of Data (SIGMOD).
    DOI
    GREEN OPENACCESS
    CONFERENCE
    CCF-A
    CORE-A*

  • GHive: A demonstration of GPU-accelerated query processing in Apache Hive.
    Haotian Liu, Bo Tang, [et al., including Huan Li].
    2022 ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • Efficient and error-bounded spatiotemporal quantile monitoring in edge computing environments.
    Huan Li, Lanjing Yi, Bo Tang, Hua Lu, and Christian S. Jensen.
    The 48th International Conference on Very Large Data Bases (VLDB).
    DOI
    GREEN OPENACCESS
    CONFERENCE
    CCF-A
    CORE-A*

  • Continuous social distance monitoring in indoor space.
    Harry Kai-Ho Chan, Huan Li, Xiao Li, and Hua Lu.
    The 48th International Conference on Very Large Data Bases (VLDB).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • IKAROS: An indoor keyword-aware routing system.
    Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Lidan Shou, and Jianliang Xu.
    The 38th IEEE International Conference on Data Engineering (ICDE).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • GHive: Accelerating analytical query processing in Apache Hive via CPU-GPU heterogeneous computing.
    Haotian Liu, Bo Tang, [et al., including Huan Li].
    13th Symposium on Cloud Computing (ACM SoCC) -- SIGMOD and SIGOPS co-sponsored.
    DOI
    CONFERENCE
    CCF-B

  • Diverse shortest paths in game maps: A comparative user study and experiments.
    Lingxiao Li, Muhammad Aamir Cheema, Mohammed Eunus Ali, Hua Lu, and Huan Li.
    2022 Australasian Database Conference (ADC).
    DOI
    ONLINE MATERIAL
    CONFERENCE
    CORE-B
    BEST PAPER RUNNER-UP

  • Towards a question answering system over temporal knowledge graph embedding.
    Kristian Otte, Kristian Simoni Vestermark, Huan Li, and Daniele Dell'Aglio.
    The International Workshop on Deep Learning for Knowledge Graphs (DL4KG).
    DOI
    WORKSHOP
    BEST PAPER

Year 2021

  • Towards indoor temporal-variation aware shortest path query.
    Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, and Jianliang Xu.
    IEEE Transactions on Knowledge and Data Engineering (TKDE).
    DOI
    JOURNAL
    CCF-A
    CORE-A*
    JCR Top 15%

  • Towards crowd-aware indoor path planning.
    Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Lidan Shou.
    The 47th International Conference on Very Large Data Bases (VLDB).
    DOI
    EXTENSION
    CONFERENCE
    CCF-A
    CORE-A*

  • Indoor spatial queries: Modeling, indexing, and processing.
    Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Lidan Shou.
    The 24th International Conference on Extending Database Technology (EDBT).
    DOI
    EXTENSION
    CONFERENCE
    CORE-A

  • Time-constrained indoor keyword-aware routing.
    Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu.
    The 17th International Symposium on Spatial and Temporal Databases (SSTD).
    DOI
    CONFERENCE
    CORE-A
    BEST PAPER RUNNER-UP

  • Impact of COVID-19 on adoption of IoT in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT.
    Muhammad Umair, Muhammad Aamir Cheema, Omer Cheema, Huan Li, and Hua Lu.
    MDPI Sensors, 21(11), 3838.
    DOI
    EXTENSION
    JOURNAL
    JCR Top 20%
    SJR Q1

Year 2020

  • Toward translating raw indoor positioning data into mobility semantics.
    Huan Li, Hua Lu, Gang Chen, Ke Chen, Qinkuang Chen, and Lidan Shou.
    ACM/IMS Transactions on Data Science (TDS), 1(4) No.26: 1-37.
    DOI
    JOURNAL

  • Indoor mobility semantics annotation using coupled conditional Markov networks.
    Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou, and Gang Chen.
    The 36th IEEE International Conference on Data Engineering (ICDE).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • Shortest path queries for indoor venues with temporal variations.
    Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, and Jianliang Xu.
    The 36th IEEE International Conference on Data Engineering (ICDE).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • Indoor top-k keyword-aware routing query.
    Zijin Feng, Tiantian Liu, Huan Li, Hua Lu, Lidan Shou, and Jianliang Xu.
    The 36th IEEE International Conference on Data Engineering (ICDE).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

Year 2019

  • Finding most popular indoor semantic locations using uncertain mobility data.
    Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11): 2108-2123.
    DOI
    JOURNAL
    CCF-A
    CORE-A*
    JCR Top 15%

  • Finding most popular indoor semantic locations using uncertain mobility data (extended abstract).
    Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen.
    The 35th IEEE International Conference on Data Engineering (ICDE).
    DOI
    POSTER
    CONFERENCE
    CCF-A
    CORE-A*

  • In search of indoor dense regions: An approach using indoor positioning data (extended abstract).
    Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen.
    The 35th IEEE International Conference on Data Engineering (ICDE).
    DOI
    POSTER
    CONFERENCE
    CCF-A
    CORE-A*

Year 2018 and Before

  • TRIPS: A system for translating raw indoor positioning data into visual mobility semantics.
    Huan Li, Hua Lu, Feichao Shi, Gang Chen, Ke Chen, and Lidan Shou.
    The 44th International Conference on Very Large Data Bases (VLDB).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • Vita: A versatile toolkit for generating indoor mobility data for real-world buildings.
    Huan Li, Hua Lu, Xin Chen, Gang Chen, Ke Chen, and Lidan Shou.
    The 42nd International Conference on Very Large Data Bases (VLDB).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

  • In search of indoor dense regions: An approach using indoor positioning data.
    Huan Li, Hua Lu, Lidan Shou, Gang Chen, and Ke Chen.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(8): 1481-1495.
    DOI
    RESOURCES
    JOURNAL
    CCF-A
    CORE-A*
    JCR Top 15%

  • E2C2: Efficient and effective camera calibration in indoor environments.
    Huan Li, Pai Peng, Hua Lu, Lidan Shou, Ke Chen, and Gang Chen.
    The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp).
    DOI
    CONFERENCE
    CCF-A
    CORE-A*

Lecture Notes

  • Literature repository for indoor data management.
    Huan Li. March, 2017.
    WEBSITE

Thesis

  • Uncertain indoor mobility data mining and analytics.
    Author: Huan Li; Advisors: Gang Chen and Lidan Shou.
    Zhejiang University, April, 2018.

For the provision of code, data, and supplementary materials (e.g., slides, posters, and videos) associated with the publications, please write to me via email.