Publications

2024

Ensembles of Low-Rank Expert Adapters

Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani
Submission of ICLR, 2025
PDF OpenReview

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models

Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang
In Findings of ACL, 2024.
PDF arXiv ACL GitHub BibTeX

A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction

Yinghao Li, Rampi Ramprasad, Chao Zhang
In Findings of EMNLP, 2024.
PDF Poster arXiv GitHub BibTeX

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance

Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
In COLM, 2024.
PDF arXiv OpenReview BibTeX

Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study

Yinghao Li, Haorui Wang, Chao Zhang
In NAACL, 2024.
PDF arXiv ACL GitHub BibTeX

PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature

Jerry Junyang Cheung, Yuchen Zhuang, Yinghao Li, Pranav Shetty, Wantian Zhao, Sanjeev Grampurohit, Rampi Ramprasad, Chao Zhang
In NAACL, 2024.
PDF arXiv ACL GitHub BibTeX

MUBen: Benchmarking the Uncertainty of Molecular Representation Models

Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
In TMLR, 2024.
PDF Poster arXiv OpenReview GitHub BibTeX

2023

Accelerated Scheme to Predict Ring-Opening Polymerization Enthalpy: Simulation-Experimental Data Fusion and Multi-Task Machine Learning

Aubrey Toland, Huan Tran, Lihua Chen, Yinghao Li, Chao Zhang, Will R. Gutekunst, Rampi Ramprasad
In The Journal of Physical Chemistry, 2023
PDF ACS

Extracting Shopping Interest-Related Product Types from the Web

Yinghao Li, Colin Lockard, Prashant Shiralkar, Chao Zhang
In Findings of the ACL, 2023.
PDF arXiv ACL GitHub BibTeX

2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select

Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
In EMNLP, 2022.
PDF arXiv EMNLP GitHub BibTeX

Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition

Yinghao Li, Le Song, Chao Zhang
In KDD, 2022.
PDF arXiv ACM GitHub BibTeX

2021

WRENCH: A Comprehensive Benchmark for Weak Supervision

Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander J. Ratner
In NeurIPS Benchmark Track, 2021.
PDF arXiv OpenReview GitHub BibTeX

BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition

Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, Le Song
In ACL, 2021.
PDF Poster arXiv ACL GitHub BibTeX

The Delineation of Fiducial Points for Non-Contact Radar Seismocardiogram Signals Without Concurrent ECG

Zongyang Xia, M. Shandhi, Yinghao Li, O. Inan, Ying Zhang
In IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 4, pp. 1031-1040, April 2021.
IEEE BibTeX

2020

Denoising Multi-Source Weak Supervision for Neural Text Classification

Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie Mitchell, Chao Zhang
In Findings of EMNLP, 2020.
PDF arXiv ACL GitHub BibTeX

Transformer-Based Neural Text Generation with Syntactic Guidance

Yinghao Li, Rui Feng, Isaac Rehg, Chao Zhang
In arXiv preprint arXiv:2010.01737, 2020.
PDF arXiv GitHub BibTeX

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths

Yue Yu, Yinghao Li, Jiaming Shen, Haoyang Feng, Jimeng Sun, Chao Zhang
In KDD, 2020.
PDF arXiv ACM GitHub BibTeX

Standalone Systolic Profile Detection of Non-Contact SCG Signal with LSTM Network

Yinghao Li, Zongyang Xia, Ying Zhang
In IEEE Sensors Journal, vol. 20, no. 6, pp. 3123-3131, 15 March, 2020
IEEE BibTeX