Publications

Conferences

• Michiharu Yamashita, Mert Kosan, Yong Zhao, Can Liu, Shubham Agrawal, and Chiranjeet Chetia
  Transformers for Payment Transactions via Periodic Positional Encoding and Contrastive Learning
  IEEE International Conference on Big Data (BigData). IEEE, 2025. [Paper]

• Michiharu Yamashita, Thanh Tran, Delvin Ce Zhang, and Dongwon Lee
  Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. [Paper]

• Yeon-Chang Lee, JaeHyun Lee, Michiharu Yamashita, Dongwon Lee, and Sang-Wook Kim
  CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025. [Paper]

• Michiharu Yamashita, Thanh Tran, and Dongwon Lee
  OpenResume: Advancing Career Trajectory Modeling with Anonymized and Synthetic Resume Datasets
  IEEE International Conference on Big Data (BigData). IEEE, 2024. [Paper]

• Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason Lucas, Michiharu Yamashita, Nafis Tripto, Thai Le, Dongwon Lee, Jakub Simko, and Maria Bielikova
  Authorship Obfuscation in Multilingual Machine-Generated Text Detection
  Findings of the Association for Computational Linguistics: EMNLP 2024 (EMNLP), 2024. [Paper]

• Michiharu Yamashita, Thanh Tran, and Dongwon Lee
  Fake Resume Attacks: Data Poisoning on Online Job Platforms
  The ACM Web Conference 2024 (WWW), 2024. [Paper]

• Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, and Dongwon Lee
  Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. [Paper]

• Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita, Matus Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, and Maria Bielikova
  MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. [Paper]

• Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, Hamoon Ekhtiari, and Dongwon Lee
  JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning
  IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2023. [Paper]

• Yunqi Li, Michiharu Yamashita, Hanxiong Chen, Dongwon Lee, and Yongfeng Zhang
  Fairness in Job Recommendation under Quantity Constraints
  AAAI 2023 Workshop on AI for Web Advertising, 2023. [Paper]

• Jingyi Xie*, Michiharu Yamashita*, Zekun Cai*, and Aiping Xiong
  A User Study on the Feasibility of Topic-aware Misinformation Warning on Social Media
  Human Factors and Ergonomics Society (HFES), 2022. [Paper]

• Michiharu Yamashita, Yunqi Li, Thanh Tran, Yongfeng Zhang, and Dongwon Lee
  Looking Further into the Future: Career Pathway Prediction
  WSDM 2022 Workshop on Computational Jobs Marketplace, 2022. [Paper]

• Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Ben Graff, and Dongwon Lee
  MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education
  NeurIPS Workshop on Math AI for Education (MathAI4Ed), 2021. [Best Paper Award] [Paper]

• Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, and Dongwon Lee
  Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT
  International Conference on Artificial Intelligence in Education (AIED). Springer, 2021. [Paper]

• Michiharu Yamashita, Shota Katsumata, and Yusuke Fukasawa
  Discovery of User Preferences from Big Geospatial Data Using Topic Models
  IEEE International Conference on Big Data (BigData). IEEE, 2018. [Paper]

• Michiharu Yamashita, Hideki Awashima, and Hidekazu Oiwa
  A Comparison of Entity Matching Methods between English and Japanese Katakana
  SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology at EMNLP, 2018. [Paper]

Dissertation/Thesis

• __PhD Dissertation
  Advancing Machine Learning in the Job Domain: Modeling, Standardization, and Security
  Supervised by Professor Dongwon Lee

• Master’s Thesis
  Machine Learning for Work Environment Optimization and Employee Well-being Improvement with Wearable Sensors
  Supervised by Professor Kazuo Yano
  [The Second Best Master’s Thesis Award]

• Bachelor’s Thesis
  Network Analysis and Visualization for Mobile Applications’ Competitiveness Based on Logs of Installing and Uninstalling Applications
  Supervised by Professor Emeritus Ushio Sumita

Miscellaneous

• Michiharu Yamashita
  CCSS Workshop on Computational Social Science 2020
  Talked about “Understanding Human Behavior with Wearable Sensors, Web Science, and Location Data”
  [Page]

• Masafumi Tsurutani and Michiharu Yamashita
  Location Intelligence and Big Data Conference 2018
  Talked about how to apply geo data and technologies into our business
  [Page]

• Michiharu Yamashita
  Open Source Conference 2018 Tokyo Spring
  Talked about our open-source components for data integration and preparation, BigGorilla.
  [Page]

• Kent Kawai, Michiharu Yamashita, and Yutaka Matsuo
  Face Recognition System Based on Convolutional Neural Network Robust to Occlusion and Low Quality Images
  Proceedings of the 31st Annual Conference of the Japanese Society for Artificial Intelligence. JSAI, 2017.

• Michiharu Yamashita, Nobuo Sato, and Kazuo Yano
  Study on Improvement of Happiness by Controlling Room Temperature from Wearable Sensors
  Proceedings of the 2017 IEICE General Conference. IEICE, 2017.

• Michiharu Yamashita, Nobuo Sato, and Kazuo Yano
  Enhancing Collective Happiness by Controlling Room Temperature Using Big Data from Wearable Sensors
  IEICE Technical Report on Life Intelligence and Office Information Systems, vol 115, no 486, 2016.