Justin Z. Tang — accepted AI-conference papers

2023

FinEntity: Entity-level Sentiment Classification for Financial Texts

Yixuan Tang, Yi Yang, Allen H Huang, Andy Tam, Justin Z. Tang

EMNLP 2023short main

In the financial domain, conducting entity-level sentiment analysis is crucial for accurately assessing the sentiment directed toward a specific financial entity. To our knowledge, no publicly available dataset currently exists for this purpose. In this work, we introduce an entity-level sentiment c…

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2017

Invariant funnels for underactuated dynamic walking robots: New phase variable and experimental validation

Justin Z. Tang, A. Mounir Boudali, Ian R. Manchester

ICRA 2017poster

We address the problem of finding useful invariant funnels for dynamic walking robots, i.e. sets of initial conditions from which continued walking in a stable manner is guaranteed. The construction is based on transverse dynamics and sum-of-squares verification. This paper makes two main contributi…

Cited by 22 Source ↗Scholar ↗