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ORCIDZhiyu Chen 0001
Person information
- affiliation: Amazon.com, Inc., Seattle, WA, USA
- affiliation (former): Lehigh University, Bethlehem, PA, USA
Other persons with the same name
- Zhiyu Chen — disambiguation page
- Zhiyu Chen 0002 (aka: Zhiyu Zoey Chen) — Carnegie Mellon University, PA, USA
- Zhiyu Chen 0003
![[0000-0002-1321-1793]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1321-1793")
— University of Michigan, Ann Arbor, MI, USA (and 1 more) - Zhiyu Chen 0004 — Nanjing University of Posts and Telecommunications, China
- Zhiyu Chen 0005 — North China Electric Power University, Beijing, China (and 1 more)
- Zhiyu Chen 0006 — Changchun University of Technology, Changchun, China
- Zhiyu Chen 0008 — Jiangsu University, Zhenjiang, China
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2020 – today
- 2024
[c20]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. LREC/COLING 2024: 6017-6023- [c19]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR 2024: 1535-1545 - [i17]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. CoRR abs/2404.02422 (2024) - [i16]Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi:
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. CoRR abs/2406.05255 (2024) - 2023
- [c18]Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Answering Unanswered Questions through Semantic Reformulations in Spoken QA. ACL (industry) 2023: 729-743 - [c17]Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. ACL (industry) 2023: 763-771 - [c16]Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. EMNLP (Industry Track) 2023: 663-674 - [c15]Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi:
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. EMNLP (Findings) 2023: 2027-2051 - [c14]Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). SemEval@ACL 2023: 2247-2265 - [c13]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison:
Model-based Unbiased Learning to Rank. WSDM 2023: 895-903 - [i15]Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). CoRR abs/2305.06586 (2023) - [i14]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison:
Unconfounded Propensity Estimation for Unbiased Ranking. CoRR abs/2305.09918 (2023) - [i13]Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Answering Unanswered Questions through Semantic Reformulations in Spoken QA. CoRR abs/2305.17393 (2023) - [i12]Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. CoRR abs/2306.03411 (2023) - [i11]Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi:
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. CoRR abs/2310.13213 (2023) - [i10]Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. CoRR abs/2310.16361 (2023) - 2022
- [j2]Zhiyu Chen:
Dataset Search and Augmentation. SIGIR Forum 56(1): 15:1-15:2 (2022) - [c12]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. EMNLP (Industry Track) 2022: 357-370 - [c11]Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin:
StruBERT: Structure-aware BERT for Table Search and Matching. WWW 2022: 442-451 - [i9]Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin:
StruBERT: Structure-aware BERT for Table Search and Matching. CoRR abs/2203.14278 (2022) - [i8]Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison:
Model-based Unbiased Learning to Rank. CoRR abs/2207.11785 (2022) - [i7]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. CoRR abs/2210.15777 (2022) - 2021
- [j1]Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Neural ranking models for document retrieval. Inf. Retr. J. 24(6): 400-444 (2021) - [c10]Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Dawei Yin, Brian D. Davison:
MGNETS: Multi-Graph Neural Networks for Table Search. CIKM 2021: 2945-2949 - [c9]Zhiyu Chen, Shuo Zhang, Brian D. Davison:
WTR: A Test Collection for Web Table Retrieval. SIGIR 2021: 2514-2520 - [i6]Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Neural Ranking Models for Document Retrieval. CoRR abs/2102.11903 (2021) - [i5]Zhiyu Chen, Shuo Zhang, Brian D. Davison:
WTR: A Test Collection for Web Table Retrieval. CoRR abs/2105.02354 (2021) - [i4]Youshan Zhang, Brian D. Davison, Vivien W. Talghader, Zhiyu Chen, Zhiyong Xiao, Gary J. Kunkel:
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net. CoRR abs/2106.12054 (2021) - 2020
- [c8]Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
A Hybrid Deep Model for Learning to Rank Data Tables. IEEE BigData 2020: 979-986 - [c7]Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin:
Relational Graph Embeddings for Table Retrieval. IEEE BigData 2020: 3005-3014 - [c6]Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Leveraging Schema Labels to Enhance Dataset Search. ECIR (1) 2020: 267-280 - [c5]Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D. Davison:
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification. ICML 2020: 10809-10819 - [c4]Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Brian D. Davison:
Towards Knowledge Acquisition of Metadata on AI Progress. ISWC (Demos/Industry) 2020: 232-237 - [c3]Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison:
Table Search Using a Deep Contextualized Language Model. SIGIR 2020: 589-598 - [i3]Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Leveraging Schema Labels to Enhance Dataset Search. CoRR abs/2001.10112 (2020) - [i2]Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison:
Table Search Using a Deep Contextualized Language Model. CoRR abs/2005.09207 (2020) - [i1]Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D. Davison:
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification. CoRR abs/2007.02439 (2020)
2010 – 2019
- 2018
- [c2]Yang Yi, Zhiyu Chen, Jeff Heflin, Brian D. Davison:
Recognizing Quantity Names for Tabular Data. ProfS/KG4IR/Data:Search@SIGIR 2018: 68-73 - [c1]Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison:
Generating Schema Labels through Dataset Content Analysis. WWW (Companion Volume) 2018: 1515-1522
Coauthor Index
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