Yichao Zhou

I'm from Suzhou, a delicate city which displays a verve of painting. Currently in Los Angeles. Passionate about natural language processing, badminton, and photographing.

My Publications

You can also browse my Google Scholar profile.

Conference Publications

  • Y. Zhou, Y. Sheng, N. Vo, N. Edmonds, S. Tata
    Learning Transferable Node Representations for Attribute Extraction from Web Documents
    The Fifteenth International Conference on Web Search and Data Mining (WSDM 2022).
    [BibTeX] [PDF] [CODE] 

    @inproceedings{zhou2022learning,
  title={Learning Transferable Node Representations for Attribute Extraction from Web Documents},
  author={Zhou, Yichao and Sheng, Ying and Vo, Nguyen and Edmonds, Nick and Tata, Sandeep},
  booktitle={Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining},
  pages={1479--1487},
  year={2022}
}

  • J. Jiang, Y. Zhou, X. Chen, Y.Jhou, L. Zhao, S. Liu, P. Yang, J. Ahmar, W. Wang
    COVID-19 Surveiller: Toward a Robust and Effective Pandemic Surveillance System based on Social Media Mining
    Philosophical Transactions A.
    [BibTeX] [PDF] 

    @article{jiang2022covid,
  title={COVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining},
  author={Jiang, Jyun-Yu and Zhou, Yichao and Chen, Xiusi and Jhou, Yan-Ru and Zhao, Liqi and Liu, Sabrina and Yang, Po-Chun and Ahmar, Jule and Wang, Wei},
  journal={Philosophical Transactions of the Royal Society A},
  volume={380},
  number={2214},
  pages={20210125},
  year={2022},
  publisher={The Royal Society}
}

  • Y. Zhou,
    Learning Robust Representations for Low-resource Information Extraction
    UCLA Electronic Theses and Dissertations
    [BibTeX] [PDF] 

    @phdthesis{zhou2021learning,
  title={Learning Robust Representations for Low-resource Information Extraction},
  author={Zhou, Yichao},
  year={2021},
  school={UCLA}
}

  • Y. Zhou, J. Jiang, X. Chen, W. Wang
    #StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs
    30th ACM International Conference on Information and Knowledge Management (CIKM2021). To appear.
    [BibTeX] [PDF] [CODE] 

    @article{zhou2021stayhome,
  title={\# StayHome or\# Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs},
  author={Zhou, Yichao and Jiang, Jyun-yu and Chen, Xiusi and Wang, Wei},
  journal={arXiv preprint arXiv:2108.03670},
  year={2021}
}

  • Y. Zhou, Y. Yan, R. Han, J. H. Caufield, K. Chang, Y. Sun, P. Ping, W. Wang
    Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference
    Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021).
    [BibTeX] [PDF] [CODE] 

    @inproceedings{zhou-etal-2021-clinical,
  author = {Zhou, Yichao and Yan, Yu and Han, Rujun and Caufield, J. Harry and Chang, Kai-Wei and Sun, Yizhou and Ping, Peipei and Wang, Wei},
  title = {Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference},
  booktitle = {AAAI},
  year = {2021}
}

  • Y. Zhou, W. Chen, B. Zhang, D. Lee, J. H. Caufield, K. Chang, Y. Sun, P. Ping, W. Wang
    CREATe: Clinical Report Extraction andAnnotation Technology
    IEEE 37rd International Conference on Data Engineering (ICDE2021 Demo). To Appear.
    [BibTeX] [PDF] [Project Page] [Video] 

      @inproceedings{zhou2021create,
  title={CREATe: Clinical Report Extraction and Annotation Technology},
  author={Zhou, Yichao and Chen, Wei-Ting and Zhang, Bowen and Lee, David and Caufield, J Harry and Chang, Kai-Wei and Sun, Yizhou and Ping, Peipei and Wang, Wei},
  booktitle={2021 IEEE 37th International Conference on Data Engineering (ICDE)},
  pages={2677--2680},
  year={2021},
  organization={IEEE}
}

  • R. Han, Y. Zhou, N. Peng
    Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
    The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP2020).
    [BibTeX] [PDF] [CODE] 

    @inproceedings{han2020knowledge,
  title = {Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction},
  author = {Han, Rujun and Zhou, Yichao and Peng, Nanyun},
  booktitle = {The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2020}
}

  • S. Mishra, M. Verma, Y. Zhou, K. Thadani, W. Wang
    Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
    29TH ACM International Conference on Information and Knowledge Management (CIKM2020).
    [BibTeX] [PDF] 

    @inproceedings{mishra2020learning,
title={Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement},
author={Mishra, Shaunak and Verma, Manisha and Zhou, Yichao and Thadani, Kapil and Wang, Wei},
booktitle={Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
pages={2653--2660},
year={2020}
}

  • C. Zheng, J. Jiang, Y. Zhou, S. Young, W. Wang
    Social Media User Geolocation via Hybrid Attention
    The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2020).
    [BibTeX] [PDF] 

    @inproceedings{zheng2020social,
  title={Social Media User Geolocation via Hybrid Attention},
  author={Zheng, Cheng and Jiang, Jyun-Yu and Zhou, Yichao and Young, Sean D and Wang, Wei},
  booktitle={Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={1641--1644},
  year={2020}
}

  • Y. Zhou, J. Jiang, J. Zhao, K. Chang, W. Wang
    "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition
    2020 Annual Conference of the Association for Computational Linguistics (ACL2020).
    [BibTeX] [PDF] [CODE] [SLIDES] 

    @inproceedings{zhou-etal-2020-boating,
    title = "{``}The Boating Store Had Its Best Sail Ever{''}: Pronunciation-attentive Contextualized Pun Recognition",
    author = "Zhou, Yichao  and
      Jiang, Jyun-Yu  and
      Zhao, Jieyu  and
      Chang, Kai-Wei  and
      Wang, Wei",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020"
  }

  • Y. Zhou, S. Mishra, M. Verma, N. Bhamidipati, W. Wang
    Recommending Themes for Ad Creative Design via Visual-Linguistic Representations
    The Web Conference (WWW2020).
    [BibTeX] [PDF] [DATA] 

    @inproceedings{zhou2020recommending,
  title={Recommending Themes for Ad Creative Design via Visual-Linguistic Representations},
  author={Zhou, Yichao and Mishra, Shaunak and Verma, Manisha and Bhamidipati, Narayan and Wang, Wei},
  booktitle={Proceedings of The Web Conference 2020},
  pages={2521--2527},
  year={2020}
}

  • Y. Zhou*, J. Jiang*, K. Chang, W. Wang
    Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
    2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP2019). (*equal contribution)
    [BibTeX] [PDF] [CODE] 

    @inproceedings{zhou-etal-2019-learning,
    title = "Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification",
    author = "Zhou, Yichao  and
      Jiang, Jyun-Yu  and
      Chang, Kai-Wei  and
      Wang, Wei",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019"
}

  • Y. Zhou, S. Mishra, J. Gligorijevic, T. Bhatia and N. Bhamidipati
    Understanding Consumer Journey using Attention based Recurrent Neural Networks
    SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2019).
    [BibTeX] [Project Page] [PDF1] [PDF2] [CODE] [VIDEO] 

    @inproceedings{Yichao2019,
    author = {Yichao Zhou and Shaunak Mishra and Jelena Gligorijevic and Tarun Bhatia and Narayan Bhamidipati},
    title = {Understanding Consumer Journey using Attention based Recurrent Neural Networks},
    booktitle = {Proceedings of SIGKDD Conference on Knowledge Discovery and Data Mining},
    year = {2019}
}

  • Y. Zhou, J. H. Caufield, Y. Sun, P. Ping, D. Liem, D. Sigdel, K. Chang, W. Wang
    Learning Structured Knowledge from Clinical Case Reports
    27th Conference on Intelligent Systems for Molecular Biology and 18th European Conference on Computational Biology (ISMB/ECCB2019 Poster).
    [BibTeX]

  • J. Zhao, Y. Zhou, Z. Li, W. Wang, and K. Chang
    Learning gender-neutral word embeddings
    Conference on Empirical Methods in Natural Language Processing (EMNLP2018).
    [BibTeX] [PDF] [CODE] 

    @inproceedings{Zhao2018,
    title = "Learning Gender-Neutral Word Embeddings",
    author = "Zhao, Jieyu  and
      Zhou, Yichao  and
      Li, Zeyu  and
      Wang, Wei  and
      Chang, Kai-Wei",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    month = oct # "-" # nov,
    year = "2018"
}

  • P. Tan, Y. Zhou, X. Huang, G.M. Mazzeo, C. Ju and W. Wang
    AZTEC: A Cloud-based Computational Platform to Integrate Biomedical Resources
    IEEE 33rd International Conference on Data Engineering (ICDE2017 Demo).
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{Patrick2017,
  title={AZTEC: A cloud-based computational platform to integrate biomedical resources},
  author={Tan, Patrick and Zhou, Yichao and Huang, Xinxin and Mazzeo, Giuseppe M and Ju, Chelsea},
  booktitle={2017 IEEE 33rd International Conference on Data Engineering (ICDE)},
  pages={1365--1366},
  year={2017},
  organization={IEEE}
}

  • Y. Zhou, Z. Zhou, and N. Wang
    A novel residual stress test structure for MEMs thin films
    12th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT2014).
    [BibTeX] [PDF] 

    @inproceedings{Yichao2014,
  title={A novel residual stress test structure for MEMs thin films},
  author={Zhou, Yichao and Zhou, Zaifa and Wang, Ninghuan},
  booktitle={2014 12th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT)},
  pages={1--3},
  year={2014},
  organization={IEEE}
}

Patents

  • S. Mishra, R.H Tang, Y. Zhou, V.R.Raithatha, L.N. Buamidipati, M. Abasi, S. Ravindran
    Stage-based content item selection and transmission

  • S. Mishra, R.H Tang, Y. Zhou, V.R.Raithatha, L.N. Buamidipati, M. Abasi, S. Ravindran
    Method for identifying and targeting users across purchase funnel stages

Preprint

  • Y. Zhou, C. Ju, J. H. Caufield, K. Shih, C. Chen, Y. Sun, K. Chang, P. Ping, W. Wang
    Clinical Named Entity Recognition using Contextualized Token Representations
    arXiv preprint arXiv:2106.12608, 2019.
    [BibTeX] [PDF] 

    @article{Zhou-etal-2021-clinical2,
  title={Clinical Named Entity Recognition using Contextualized Token Representations},
  author={Zhou, Yichao and Ju, Chelsea and Caufield, J Harry and Shih, Kevin and Chen, Calvin and Sun, Yizhou and Chang, Kai-Wei and Ping, Peipei and Wang, Wei},
  journal={arXiv preprint arXiv:2106.12608},
  year={2021}
}

  • J. H. Caufield, Y. Zhou, Y. Bai, D. A. Liem, A. O. Garlid, K. Chang, Y. Sun, P. Ping, W. Wang
    A Comprehensive Typing System for Information Extraction from Clinical Narratives
    medRxiv 19009118; doi: https://doi.org/10.1101/19009118, 2019.
    [BibTeX] [PDF] 

    @article {Caufield19009118,
  author = {Caufield, J. Harry and Zhou, Yichao and Bai, Yunsheng and Liem, David A. and Garlid, Anders O. and Chang, Kai-Wei and Sun, Yizhou and Ping, Peipei and Wang, Wei},
  title = {A Comprehensive Typing System for Information Extraction from Clinical Narratives},
  elocation-id = {19009118},
  year = {2019},
  doi = {10.1101/19009118},
  publisher = {Cold Spring Harbor Laboratory Press}
  journal = {medRxiv}
}

  • W. Wang, B. Bleakley, C. Ju, V. Kyi, P. Tan, H. Choi, X. Huang, Y. Zhou, J. Wood, D. Wang, A. Bui, P. Ping
    Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable
    arXiv preprint arXiv:1706.06087, 2017.
    [BibTeX] [PDF] 

    @article{wang2017aztec,
  title={Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable},
  author={Wang, Wei and Bleakley, Brian and Ju, Chelsea and Kyi, Vincent and Tan, Patrick and Choi, Howard and Huang, Xinxin and Zhou, Yichao and Wood, Justin and Wang, Ding and others},
  journal={arXiv preprint arXiv:1706.06087},
  year={2017}
}