Recognizing Quantity Names for Tabular Data. - Yang Yi; Zhiyu Chen 001; Jeff Heflin; Brian D. Davison 001 (ProfS/KG4IR/Data:Search@SIGIR, 2018)

Generating Schema Labels through Dataset Content Analysis. - Zhiyu Chen 001; Haiyan Jia; Jeff Heflin; Brian D. Davison 001 (WWW (Companion Volume), 2018)

Mask Editor : an Image Annotation Tool for Image Segmentation Tasks. - Chuanhai Zhang; Kurt Loken; Zhiyu Chen 001; Zhiyong Xiao; Gary Kunkel (CoRR, 2018)

A Hybrid Deep Model for Learning to Rank Data Tables. - Mohamed Trabelsi 003; Zhiyu Chen 001; Brian D. Davison 001; Jeff Heflin (IEEE BigData, 2020)

Relational Graph Embeddings for Table Retrieval. - Mohamed Trabelsi 003; Zhiyu Chen 001; Brian D. Davison 001; Jeff Heflin (IEEE BigData, 2020)

Leveraging Schema Labels to Enhance Dataset Search. - Zhiyu Chen 001; Haiyan Jia; Jeff Heflin; Brian D. Davison 001 (ECIR (1), 2020)

Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification. - Hui Ye; Zhiyu Chen 001; Da-Han Wang; Brian D. Davison 001 (ICML, 2020)

Towards Knowledge Acquisition of Metadata on AI Progress. - Zhiyu Chen 001; Mohamed Trabelsi 003; Jeff Heflin; Brian D. Davison 001 (ISWC (Demos/Industry), 2020)

Table Search Using a Deep Contextualized Language Model. - Zhiyu Chen 001; Mohamed Trabelsi 003; Jeff Heflin; Yinan Xu 005; Brian D. Davison 001 (SIGIR, 2020)

MGNETS: Multi-Graph Neural Networks for Table Search. - Zhiyu Chen 001; Mohamed Trabelsi 003; Jeff Heflin; Dawei Yin; Brian D. Davison 001 (CIKM, 2021)

WTR: A Test Collection for Web Table Retrieval. - Zhiyu Chen 001; Shuo Zhang 006; Brian D. Davison 001 (SIGIR, 2021)

Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net. - Youshan Zhang; Brian D. Davison 001; Vivien W. Talghader; Zhiyu Chen 001; Zhiyong Xiao; Gary J. Kunkel (CoRR, 2021)

Neural ranking models for document retrieval. - Mohamed Trabelsi 003; Zhiyu Chen 001; Brian D. Davison 001; Jeff Heflin (Inf. Retr. J., 2021)

Reinforced Question Rewriting for Conversational Question Answering. - Zhiyu Chen 001; Jie Zhao; Anjie Fang; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2022)

StruBERT: Structure-aware BERT for Table Search and Matching. - Mohamed Trabelsi 003; Zhiyu Chen 001; Shuo Zhang 006; Brian D. Davison 001; Jeff Heflin (WWW, 2022)

Dataset Search and Augmentation. - Zhiyu Chen 001 (SIGIR Forum, 2022)

Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. - Zhiyu Chen 001; Jason Ingyu Choi; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (industry), 2023)

Answering Unanswered Questions through Semantic Reformulations in Spoken QA. - Pedro Faustini; Zhiyu Chen 001; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (industry), 2023)

MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. - Besnik Fetahu; Zhiyu Chen 001; Sudipta Kar; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Findings), 2023)

InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. - Besnik Fetahu; Zhiyu Chen 001; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2023)

SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). - Besnik Fetahu; Sudipta Kar; Zhiyu Chen 001; Oleg Rokhlenko; Shervin Malmasi (SemEval@ACL, 2023)

Model-based Unbiased Learning to Rank. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Dawei Yin; Brian D. Davison 001 (WSDM, 2023)

Unconfounded Propensity Estimation for Unbiased Ranking. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li; Dawei Yin; Brian D. Davison 001 (CoRR, 2023)

Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. - Lütfi Kerem Senel; Besnik Fetahu; Davis Yoshida; Zhiyu Chen 001; Giuseppe Castellucci; Nikhita Vedula; Jason Ingyu Choi; Shervin Malmasi (ACL (1), 2024)

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. - Parth Patwa; Simone Filice; Zhiyu Chen 001; Giuseppe Castellucci; Oleg Rokhlenko; Shervin Malmasi (LREC/COLING, 2024)

Identifying High Consideration E-Commerce Search Queries. - Zhiyu Chen 001; Jason Ingyu Choi; Besnik Fetahu; Shervin Malmasi (EMNLP (Industry Track), 2024)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li; Dawei Yin; Brian D. Davison 001 (SIGIR, 2024)

Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching. - Xiangci Li; Zhiyu Chen 001; Jason Ingyu Choi; Nikhita Vedula; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (1), 2025)