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2026

International Conference

  1. Asami Tada, Nesrine Berjab, Hieu Hanh Le. “Evaluation of Missing Data Imputation Methods for Electronic Medical Records Considering Imputation Performance and Applicability”, Proceeding of the 28th International Conference on Information Integration and Web Intelligence (iiWAS 2026), Dec. 2026. Accepted
  2. Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le. “Explainable Estimation of Clinical Pathway Branching Factors from Multi-Institutional Electronic Medical Records”, Proceeding of the 20th IEEE International Symposium on Medical Information and Communication Technology (ISMICT 2026), Sep. 2026.
    Links:Final paper / Slide
  3. Kyoko Sawamura, Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le. “Clustering Health-Care Institutions Based on the Dynamic Time Warping Similarity of Frequent Medical Orders”, Proceeding of the sixth IEEE International Conference on ICT Solutions for eHealth (ICTS4eHealth 2026), Jun. 2026.
    Links:Final paper / Slide
  4. Haruka Hori, Hieu Hanh Le, Masato Oguchi. “A Data Integration Platform with Identifiable Falsification Detection and its Evaluation in Automotive Parts Manufacturing”, Proceeding of the 20th IEEE International Conference on Ubiquitous Information Management and Communications (IMCOM 2026), pp. 1-8, Jan. 2026.
    Links:Final paper / Slide

2025

International Conference

  1. Yui Aoyagi, Hieu Hanh Le, Ryosuke Matsuo, Tomoyoshi Yamazaki, Haruo Yokota, Masato Oguchi. “Improving the Efficiency of Interactive Sequential Pattern Mining by Closed Pattern Discovery”, Proceeding of the 21st International Conference on Advanced Data Mining and Applications (ADMA 2025) Part IV, pp. 248-256, Oct. 2025.
    Links:Final paper / Slide
  2. Keigo Oshio, Gen Tsuchiyama, Hieu Hanh Le, Mayumi Kuno-Mizumura, Shuhei Tsuchida. “The Influence of Teachers' Verbal Communication on Students' Emotions in Dance Classes”, Book of Abstracts of the 46th annual Conference of the International School Psychology Association (ISPA 2025), pp. 408, Jul. 2025.
  3. Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le. “Extracting and Visualizing Frequent Medical Instruction Patterns with Statistical Insights from Multi-Institutional Electronic Medical Record Data”, Proceeding of the IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS 2025), pp. 514-515, Poster, Jun. 2025.
    Links:Final paper / Poster

Invited Talk

  1. Miwa Sugitani, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Masato Oguchi, Haruo Yokota, Hieu Hanh Le. “Statistical Analysis and Visualization of Medical Instruction Patterns in Multimedia-Rich Electronic Medical Records”, Proceeding of the eighth IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2025), pp. 376-382, Aug. 2025.
    Links:Final paper / Slide / Demo Video

2024

International Conference

  1. Hieu Hanh Le, Yuki Yasumitsu, Ryosuke Matsuo, Tomoyoshi Yamazaki, Haruo Yokota. “A Clustering-based Sequence Variants Analysis Method for Electronic Medical Records of Multimedical Institutions”, Proceedings of the IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR 2024), pp. 653-659, Aug. 2024.
    Links:Final paper / Slide

2023

Journal

  1. Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Takatoshi Sakamoto, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Methods for Analyzing Medical-Order Sequence Variants in Sequential Pattern Mining for Electronic Medical Record Systems”, ACM Transactions on Computing for Healthcare, Vol. 4, No. 1, pp. 3:1-3:28, Mar. 2023.
    Links:Open Access

International Conference

  1. Zitai Zhao, Yuki Yasumitsu, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Analysis of Transitions in Differences between Frequent Medical-order Sequences for COVID-19”, Proceeding of the 36th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2023), pp. 666-671, Jun. 2023.

2022

Journal

  1. Berjab Nesrine, Hieu Hanh Le, Haruo Yokota. “Recovering Missing Data via Top-k Repeated Patterns for Fuzzy-based Abnormal Node Detection in Sensor Networks”, IEEE Access, Vol. 10, pp. 61046-61064, Jun. 2022.
    Links:Open Access

International Conference

  1. Nesrine Berjab, Hieu Hanh Le, Haruo Yokota. “Trust Assessment Model based on Hierarchical Decision-making Process in IoT Sensor Networks”, Proceeding of the 18th European Dependable Computing Conference (EDCC 2022), pp. 33-40, Sep. 2022.
  2. Yuqing Li, Hieu Hanh Le, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Comparison of Sequence Variants and the Application in Electronic Medical Records”, Proceeding of the 33rd International Conference on Database and Expert Systems Applications (DEXA 2022), pp. 117-130, Aug. 2022.

Domestic Conference (Non-reviewed)

  1. An Wang, Hieu Hanh Le, Ryosuke Matsuo, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “MERJ: Medical Entity-Relation Extraction System for Japanese Clinical Texts”, Proceeding of the 14th Forum on Data Engineering and Information Management (DEIM2022), A34-2, Mar. 2022.

2021

Journal

  1. Takayuki Fukatani, Hieu Hanh Le, Haruo Yokota. “Lightweight Dynamic Redundancy Control with Adaptive Encoding for Server-based Storage”, ACM Transaction on Storage, Vol. 17, No. 4, pp. 28:1-38, Oct. 2021.
  2. Berjab Nesrine, Hieu Hanh Le, Haruo Yokota. “A Spatiotemporal and Multivariate Attribute Correlation Extraction Scheme for Detecting Abnormal Nodes in WSNs”, IEEE Access, Vol. 9, pp. 135266 - 135284, Sep. 2021.
    Links:Open Access

International Conference

  1. Takayuki Fukatani, Hieu Hanh Le, Haruo Yokota. “Delayed Parity Update for Bridging the Gap between Replication and Erasure Coding in Server-based Storage”, Proceeding of the twelfth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS 2021) in conjunction with the 47th International Conference on Very Large Data Bases (VLDB 2021), pp. 1-9, Aug. 2021.
  2. Hieu Hanh Le, Yutaka Horino, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Sequential Pattern Mining of Large Combinable Items with Values for a Set-of-items Recommendation”, Proceeding of the 34th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2021), pp. 56-61, Jun. 2021.

2020

Domestic Conference (Non-reviewed)

  1. Agipa Aigissinova, Hieu Hanh Le, Haruo Yokota. “Evaluation of the performance of secure keyword search using bit-string signatures in the blockchain”, Proceeding of the 12nd Forum on Data Engineering and Information Management, E1-5, Mar. 2020.
  2. Xu Mingqin, Hieu Hanh Le, Haruo Yokota. “Hypergraph based Partitioning on a Distributed RDF System”, Proceeding of the 12nd Forum on Data Engineering and Information Management, H4-5, Mar. 2020.

2019

Journal

  1. Muneo Kushima, Yuichi Honda, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Extraction and Graph Structuring of Variants By Detecting Common Parts of Frequent Clinical Pathways”, Transactions on Engineering Technologies. IMECS 2018, pp. 207-218, Oct. 2019.

International Conference

  1. Yunfan Li, Nesrine Berjab, Hieu Hanh Le, Haruo Yokota. “Centralized Trust Scheme for Cluster Routing of Wireless Sensor Networks”, Proceeding of the 2019 International Workshop on IoT Big Data and Blockchain (IoTBB 2019) in conjunction with the 2019 IEEE International Conference on Big Data (BigData 2019), pp. 5239-5248, Dec. 2019.
  2. Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Masaaki Kayahara, Muneo Kushima, Kenji Araki, Haruo Yokota. “Effects of Mining Parameters on the Performance of the Sequence Pattern Variants Analyzing Method Applied to Electronic Medical Record Systems”, Proceeding of the 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS 2019), pp. 127-135, Dec. 2019.
  3. Takayuki Fukatani, Hieu Hanh Le, Haruo Yokota. “Lightweight Dynamic Redundancy Control for Server-based Storage”, Proceeding of the 38th International Symposium on Reliable Distributed Systems (SRDS 2019), pp. 295-304, Oct. 2019.
  4. Hieu Hanh Le, Tatsuhiro Yamada, Yuichi Honda, Masaaki Kayahara, Muneo Kushima, Kenji Araki, Haruo Yokota. “Analyzing Sequence Pattern Variants in Sequential Pattern Mining and its Application to Electronic Medical Record Systems”, Proceeding of the 30th International Conference on Database and Expert Systems Applications (DEXA 2019), pp. 393-408, Aug. 2019.
  5. Satoshi Hikida, Hieu Hanh Le, Haruo Yokota. “Energy Efficient Data Placement and Buffer Management for Multiple Replication”, Proceeding of the 30th International Conference on Database and Expert Systems Applications (DEXA 2019), pp. 19-29, Aug. 2019.
  6. Hieu Hanh Le, Muneo Kushima, Kenji Araki, Haruo Yokota. “Differentially Private Sequential Pattern Mining considering Time Interval for Electronic Medical Record Systems”, Proceeding of the 23rd International Database Engineering & Applications Symposium (IDEAS 2019), pp. 95-103, Jun. 2019.

Domestic Conference (Non-reviewed)

  1. Nesrine Berjab, Hieu Hanh Le, Chia-Mu Yu, Sy-Yen Kuo, Haruo Yokota. “Fuzzy logic and ECA rules-based misbehaving-node detection for cluster-based heterogeneous IoT systems”, Proceeding of the 11th Forum on Data Engineering and Information Management, A8-1, Mar. 2019.

Invited Talk

  1. Hieu Hanh Le. “Time-interval Sequential Pattern Mining for Electronic Medical Record Systems with considering Differential Privacy”, The Intelligent IoT Environment Workshop, Sep. 2019.
  2. Hieu Hanh Le. “Data Placement Methods for Efficient Gear-shifting in Power-proportional Distributed File Systems”, Proceeding of the 3rd Japan-Taiwan International Engineering Forum, Feb. 2019.

Other

  1. “The latest database research topics from CIDR2019”, DBSJ Newsletter, Vol. 12, No. 1, 3, Apr. 2019.
    Links:アーカイブ

2018

International Conference

  1. Nesrine Berjab, Hieu Hanh Le, Chia-Mu Yu, Sy-Yen Kuo, Haruo Yokota. “Hierarchical Abnormal-node Detection using Fuzzy Logic for ECA Rule-based Wireless Sensor Networks”, Proceeding of the 23rd IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2018), pp. 289-298, Dec. 2018.
  2. Nesrine Berjab, Hieu Hanh Le, Chia-Mu Yu, Sy-Yen Kuo, Haruo Yokota. “Abnormal-node Detection Based on Spatio-temporal and Multivariate-attribute Correlation in Wireless Sensor Networks”, Proceeding of the 16th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2018), pp. 568-575, Aug. 2018.
  3. Hieu Hanh Le, Haruo Yokota. “An Evaluation of Data Placement Methods for Multiple-gear Power-proportional Distributed File Systems”, Proceeding of the 24th International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2018), pp. 73-79, Jul. 2018.
  4. Muneo Kushima, Yuichi Honda, Hieu Hanh Le, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Visualization and Analysis of Variants in Catheter Ablation's Clinical Pathways from Electronic Medical Record Logs”, Proceeding of the 2018 IAENG International Conference on Data Mining and Applications (ICDMA 2018), pp. 271-275, Mar. 2018.

Invited Talk

  1. Hieu Hanh Le. “Sequential Pattern Mining on Electronic Medical Record Systems with considering Differential Privacy”, Proceeding of the 3rd Japan-Taiwan Workshop on Secure and Dependable IoT Systems, Sep. 2018.

2017

International Conference

  1. Hieu Hanh Le, Henrik Edman, Yuichi Honda, Muneo Kushima, Tomoyoshi Yamazaki, Kenji Araki, Haruo Yokota. “Fast Generation of Clinical Pathways Including Time Intervals in Sequential Pattern Mining on Electronic Medical Record Systems”, Proceeding of the Fourth International Conference on Computational Science and Computational Intelligence (CSCI 2017), pp. 1726-1731, Dec. 2017.

Invited Talk

  1. Hieu Hanh Le. “An Approach for Differential Private Pattern Sequence Mining in Electronic Medical Record Systems”, Proceeding of the 2nd Taiwan-Japan Workshop on Secure and Dependable IoT Systems, Nov. 2017.

Patent

  1. Johri Abhishek, Mitsuo Hayasaka, Hieuhanh Le. “Distributed storage system”, Jun. 2017.
    Application No.: PCT/JP2017/022553; US16325280 / Patent No.: US11188258.

2016

Patent

  1. Yuko Matsui, Mitsuo Hayasaka, Christopher James Aston, Johnathan Smith, James Gibbs, Daniel Picken, Simon Crosland, Hieu Hanh Le. “Data storage system and process for providing distributed storage in a scalable cluster system and computer program”, Oct. 2016.
    Application No.: PCT/US2016/057845; US16304722 / Patent No.: US10956393.
  2. Hieu Hanh Le, Mitsuo Hayasaka. “Computer system and method for task assignment”, Jun. 2016.
    Application No.: PCT/JP2016/002720

2015

Journal

  1. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “Accordion: An Efficient Gear-Shifting for a Power-Proportional Distributed Data-Placement Method”, IEICE Transactions on Information Systems, Vol. E98-D, No. 5, pp. 1013-1026, May 2015.

International Conference

  1. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “An Efficient Gear-shifting Power-proportional Distributed File Systems”, Proceeding of the 26th International Conference on Database and Expert Systems Applications (DEXA 2015), pp. 153-161, Sep. 2015.

Thesis

  1. Le Hieu Hanh. “A Study on Data Placement and Data Management for Power-proportional Distributed File Systems”, Tokyo Insitute of Technology, Apr. 2015. Doctoral Thesis

2014

Journal

  1. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “NDCouplingHDFS: A Coupling Architecture for a Power-proportional Hadoop Distributed File System”, IEICE Transactions on Information and Systems, Vol. E97-D, No. 2, pp. 213-222, Feb. 2014.

Patent

  1. Hieuhanh Le，Masanori Takata, Youji Nakatani, Hitoshi Arai, Hitoshi Kamei, Akiyoshi Tsuchiya, Atsushi Sutoh. “Method and computer system for sharing objects”, Oct. 2014.
    Application No.: PCT/JP2014/005496; US15507684 / Patent No.: US10657105.

2013

International Conference

  1. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “Efficient Gear-shifting for a Power-proportional Distributed Data-placement Method”, Proceeding of the 2013 IEEE International Conference on BigData (BigData 2013), pp. 76-84, Oct. 2013.
  2. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “NameNode and DataNode Coupling for Power-proportional Hadoop Distributed File System”, Proceeding of the 18th International Conference on Database Systems for Advanced Applications (DASFAA 2013), pp. 99-107, Apr. 2013.

2012

International Conference

  1. Satoshi Hikida, Hieu Hanh Le, Haruo Yokota. “A Power Saving Storage Method That Considers Individual Disk Rotation”, Proceeding of the 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012), pp. 138-149, Apr. 2012.

2011

International Conference

  1. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “An Evaluation of Power-proportional Data Placement for Hadoop Distributed File Systems”, Proceeding of the ninth IEEE International Conference on Dependable, pp. 752-759, Dec. 2011.

Domestic Conference (Non-reviewed)

  1. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “An Evaluation on Power Consumption and Performance Balancing Distributed Storage Systems”, Proceeding of the 152nd IPSJ Database System Special Interest Group (SIG-DBS), pp. 1-7, Aug. 2011. 学生奨励賞
  2. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “Performance Comparison of Power-Proportional Approaches in Power Saving of Storage Systems”, Proceeding of the 73rd National Convention of IPSJ, 6B-3, Mar. 2011.
  3. Hieu Hanh Le, Satoshi Hikida, Haruo Yokota. “Performance Comparison of Power-Proportional Approaches in Storage Systems through Empirical Experiment”, Proceeding of the 3rd Forum on Data Engineering and Information Management (DEIM 2019), C10-5, Mar. 2011.

2010

International Conference

  1. Hieu Hanh Le, Kenji Masui, Katsuyoshi Iida. “A Relative Bandwidth Allocation Method Enabling Fast Convergence in XCP”, Proceeding of the 2020 International Conference Network of the Future (NoF 2010), pp. 217-228, Sep. 2010.

Domestic Conference (Non-reviewed)

  1. Hieu Hanh Le, Kenji Masui, Katuyoshi Iida. “A Relative Bandwidth Allocation Method Achieving Fast Convergence Time in XCP”, Proceeding of the IEICE Technical Committee on Network System (NS), pp. 409-414, Mar. 2010.

Thesis

  1. “A Study on Relative Resource Allocation Methods at XCP Router”, Tokyo Institute of Technology, Mar. 2010. Master Thesis

2009

Domestic Conference (Non-reviewed)

  1. Hieu Hanh Le, Masayoshi Shimamura, Kenji Masui, Katsuyoshi Iida. “A Study on XCP Routers' Misbehaviors on Congestion Control”, IEICE Technical Report, Vol. 108, 459, pp. 49-54, Mar. 2009. 学生研究奨励賞

2008

International Conference

  1. Hieu Hanh Le, Thitiporn Lertrusdachakul, Tetsutaro Watanabe, Haruo Yokota. “Automatic Digest Generation by Extracting Important Scenes from the Content of Presentations”, Proceeding of the first International Workshop on Automated Information Extraction in Media Production (AIEMPro 2008) in conjunction with the 19th International Conference on Database and Expert Systems Applications (DEXA 2008), pp. 590-594, Sep. 2008.