Yuan Yao
10 papers in the PaperMetrix corpus
Papers by this author
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Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size
2019 · IEEE Transactions on Knowledge and Data Engineering
Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years. Most of the existing methods are based on semi-definite programming (SDP), which is generally time-consuming and degrades the scalability, …
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Two-photon interference: the Hong–Ou–Mandel effect
2020 · Reports on Progress in Physics
Nearly 30 years ago, two-photon interference was observed, marking the beginning of a new quantum era. Indeed, two-photon interference has no classical analogue, giving it a distinct advantage for a range of applications. The peculiarities …
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Denoising Relation Extraction from Document-level Distant Supervision
2020
Distant supervision (DS) has been widely used to generate auto-labeled data for sentencelevel relation extraction (RE), which improves RE performance. However, the existing success of DS cannot be directly transferred to the more challenging document-level …
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Backdoor Attack through Frequency Domain
2021 · arXiv (Cornell University)
Backdoor attacks have been shown to be a serious threat against deep learning systems such as biometric authentication and autonomous driving. An effective backdoor attack could enforce the model misbehave under certain predefined conditions, i.e., …
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PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
2024 · arXiv (Cornell University)
Multimodal Large Language Models (MLLMs) have seen growing adoption across various scientific disciplines. These advancements encourage the investigation of molecule-text modeling within synthetic chemistry, a field dedicated to designing and conducting chemical reactions to synthesize …
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Neuro-symbolic Learning Yielding Logical Constraints
2024 · arXiv (Cornell University)
Neuro-symbolic systems combine the abilities of neural perception and logical reasoning. However, end-to-end learning of neuro-symbolic systems is still an unsolved challenge. This paper proposes a natural framework that fuses neural network training, symbol grounding, …
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Judging similarity
2018
Related item recommenders operate in the context of a particular item. For instance, a music system's page about the artist Radio-head might recommend other similar artists such as The Flaming Lips. Often central to these …
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DocRED: A Large-Scale Document-Level Relation Extraction Dataset
2019
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.
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FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
2018
We present a Few-Shot Relation Classification Dataset (FewRel), consisting of 70, 000 sentences on 100 relations derived from Wikipedia and annotated by crowdworkers. The relation of each sentence is first recognized by distant supervision methods, …
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OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
2019
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): …