Zhiyu Chen
Scholar

Zhiyu Chen

Google Scholar ID: KSBmL64AAAAJ
Amazon
Conversational AILarge Language ModelsInformation RetrievalNatural language Processing
Citations & Impact
All-time
Citations
609
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • - Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching, published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025).
  • - Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces, published in Proceedings of the 2025 IEEE 41st International Conference on Data Engineering (ICDE 2025).
  • - Joinable Search Over Multi-Source Spatial Datasets: Overlap, Coverage, and Efficiency, published in Proceedings of the 2025 IEEE 41st International Conference on Data Engineering (ICDE 2025).
  • - Identifying High Consideration E-Commerce Search Queries, published in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Industry Track).
  • - Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation, published in Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024).
  • - Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data, published in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).
  • - Training-free Optimization of Generative Recommender Systems using Large Language Model Optimizers, published in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).
  • - InstructPTS: Instruction-Tuning LLMs for Product Title Summarization, published in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Industry Track).
  • - Multi-Coner V2: A Large Multilingual Dataset for Fine-grained and Noisy Named Entity Recognition, published in Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings).
Research Experience
  • - Amazon, Seattle, WA, US (remote): Applied Scientist Intern (May 2021 - September 2021), proposed a reinforcement learning method for conversational question answering, accepted by EMNLP Industry Track 2022.
  • - Zhuiyi Technology, Shenzhen, Guangdong, China: Applied Science Intern (May 2019 - September 2019), led a team solving SuperGLUE benchmark tasks, achieving a 2nd-place ranking in our submission, covered in China Daily.
  • - Bloomberg, Princeton, NJ, USA: Applied Science Intern (June 2016 - August 2016), analyzed Bloomberg Data Licence usage patterns.
Education
  • - Lehigh University, Bethlehem, PA, USA: Ph.D. in Computer Science (2015-2022), Advisor: Prof. Brian D. Davison
  • - École Supérieure d’Ingénieurs Léonard de Vinci, Paris, France: Exchange Program (2014-2015)
  • - Nanjing University of Aeronautics and Astronautics, Nanjing, China: B.E. in Computer Science (2011-2015), GPA: 4.2/5.0, Ranking: 1/94
Background
  • Research interests include data mining, machine learning, natural language processing, and information retrieval. Currently working as an applied scientist at Amazon.
Miscellany
  • The name 'Zhiyu' comes from an ancient Chinese poem (好雨知时节), which means good rain knows the best time to fall.