Hi, I'm |

My name is Zhiyu Chen (陈知雨). Now I am working as a senior applied scientist at Amazon in Seattle, US. My first name “Zhiyu” comes from an ancient Chinese poem (好雨知时节), which means good rain knows the best time to fall. I received my PhD from Lehigh University at 2022 with Prof. Brian D. Davison. My research interests include data mining, machine learning, natural language processing and information retrieval.

• Efficient Low-Rank Index Routing for High-Dimensional Approximate Nearest Neighbor Search.
  Y. Li, S. Wang, Z. Chen, Z. Peng.
  Information Processing & Management, 2026
• Dependency Relationships-Enhanced Attentive Group Recommendation in HINs.
  J. Zhang, Z. Chen, S. Wang, X. Yang, D. Han, Z. Peng.
  World Wide Web Journal, 2025
• LLM-based Dialogue Labeling for Multiturn Adaptive RAG.
  Z. Chen, B. Xie, S. Srinivasan, M. Ramanathan, R. Maragoud, Q. Liu.
  EMNLP 2025 (Industry)
• REIC: RAG-Enhanced Intent Classification at Scale.
  Z. Zhang, M. Yang, Z. Chen, Y. Zhuang, S.-T. Pi, Q. Liu, R. Maragoud, V. Nguyen, A. Beniwal.
  EMNLP 2025 (Industry)
• Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching.
  X. Li, Z. Chen, J. Choi, N. Vedula, B. Fetahu, O. Rokhlenko, S. Malmasi.
  ACL 2025
• Approximate Vector Set Search: A Bio-Inspired Approach for High-Dimensional Spaces.
  W. Yang, S. Wang, Z. Chen, Y. Sun, Z. Peng.
  ICDE 2025
• Joinable Search Over Multi-Source Spatial Datasets: Overlap, Coverage, and Efficiency.
  Y. Li, S. Wang, Z. Chen, S. Chen, Z. Peng.
  ICDE 2025
• Identifying High Consideration E-Commerce Search Queries.
  Z. Chen, B. Fetahu, J. Choi and S. Malmasi.
  EMNLP 2024 (Industry)
• Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation.
  D. Luo, L. Zou, Q. Ai, Z. Chen, C. Li, D. Yin and B.D. Davison.
  SIGIR 2024
• Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data.
  P. Patwa, S. Filice, Z. Chen, G. Castellucci, O. Rokhlenko and S. Malmasi.
  LREC-COLING 2024
• Training-free Optimization of Generative Recommender Systems using Large Language Model Optimizers.
  LK. Şenel, B. Fetahu, D. Yoshida, Z. Chen, G. Castellucci, N. Vedula, J. Choi and S. Malmasi.
  ACL 2024
• InstructPTS: Instruction-Tuning LLMs for Product Title Summarization.
  B. Fetahu, Z. Chen, O. Rokhlenko, S. Malmasi.
  EMNLP 2023 (Industry)
• Multi-Coner V2: A Large Multilingual Dataset for Fine-grained and Noisy Named Entity Recognition.
  B. Fetahu, Z. Chen, S. Kar, O. Rokhlenko, S. Malmasi.
  EMNLP 2023 (Findings)
• Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search.
  Z. Chen, J. Choi, B. Fetahu, O. Rokhlenko, S. Malmasi.
  ACL 2023
• Answering Unanswered Questions through Semantic Reformulations in Spoken QA.
  P. Faustini, Z. Chen, B. Fetahu, O. Rokhlenko, S. Malmasi.
  ACL 2023
• Model-based Unbiased Learning to Rank.
  D. Luo, L. Zou, Q. Ai, Z. Chen, D. Yin, B.D. Davison.
  WSDM 2023
• Reinforced Question Rewriting for Conversational Question Answering.
  Z. Chen, J. Zhao, A. Fang, B. Fetahu, O. Rokhlenko, S. Malmasi.
  EMNLP 2022
• StruBERT: Structure-aware BERT for Table Search and Matching.
  M. Trabelsi, Z. Chen, S. Zhang, J. Heflin, and B. D. Davison.
  WWW 2022
• MGNETS: Multi-Graph Neural Networks for Table Search.
  Z. Chen, M. Trabelsi, J. Heflin, D. Yin, and B. D. Davison. (2021)
  CIKM 2021
• Neural Ranking Models for Document Retrieval.
  M. Trabelsi, Z. Chen, J. Heflin and B.D. Davison. (2021)
  Information Retrieval Journal 2021
• WTR: A Test Collection for Web Table Retrieval.
  Z. Chen, S. Zhang, and B. D. Davison. (2021)
  SIGIR 2021
• A Hybrid Deep Model for Learning to Rank Data Tables.
  M. Trabelsi, Z. Chen, J. Heflin and B.D. Davison. (2020)
  IEEE BigData 2020
• Relational Graph Embeddings for Table Retrieval.
  M. Trabelsi*, Z. Chen*, B. D. Davison, and J. Heflin.
  BigGraphs 2020 (at IEEE BigData)
• Towards Knowledge Acquisition of Metadata on AI Progress.
  Z. Chen*, M. Trabelsi*, B. D. Davison, and J. Heflin. (2020)
  ISWC 2020 (Demo)
• Table Search Using a Deep Contextualized Language Model.
  Z. Chen, M. Trabelsi, J. Heflin, Y. Xu, and B. D. Davison. (2020)
  SIGIR 2020
• Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification.
  H. Ye, Z. Chen, D.-H. Wang, and B. D. Davison. (2020)
  ICML 2020
• Leveraging Schema Labels to Enhance Dataset Search.
  Z. Chen, H. Jia, J. Heflin, and B. D. Davison. (2020)
  ECIR 2020
• Generating Schema Labels through Dataset Content Analysis.
  Z. Chen, H. Jia, J. Heflin and B. D. Davison. (2018)
  WWW 2018 (Profiles & Data:Search Workshop) - Best Paper Award

• 2021, ACM SIGIR Student Travel Grant
• 2021, Rossin Professional Development Program Award at Lehigh University
• 2020, ISWC Student Grant
• 2020, ACM SIGIR Student Travel Grant
• 2018, Best Paper Award of International Workshop on Profiles&Data:Search’18
• 2018, ACM SIGIR Student Travel Grant
• 2015, RCEAS Dean’s Fellowship
• 2014, Chinese Government Scholarship from China Scholarship Council
• 2013, First Prize, National Mathematical Contest in Modeling (Jiangsu Division)
• 2012, Honorable Mention for Social Practice
• 2012, Second Prize, 11-th Higher Mathematics Competition of Jiangsu Province
• 2011-2014, Student Scholarship
• 2011-2014, Merit Student