Yichao Zhou
Orcid: 0009-0003-8632-446XAffiliations:
- Google, Mountain View, USA
- University of California, Los Angeles, Department of Computer Science, CA, USA (PhD 2021)
According to our database1,
Yichao Zhou
authored at least 27 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
CoRR, 2022
Learning Transferable Node Representations for Attribute Extraction from Web Documents.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
PhD thesis, 2021
CoRR, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable.
CoRR, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017