Search Results for author: Zirong Chen

Found 7 papers, 1 papers with code

Auto311: A Confidence-guided Automated System for Non-emergency Calls

no code implementations19 Dec 2023 Zirong Chen, Xutong Sun, Yuanhe Li, Meiyi Ma

Emergency and non-emergency response systems are essential services provided by local governments and critical to protecting lives, the environment, and property.

CitySpec with Shield: A Secure Intelligent Assistant for Requirement Formalization

no code implementations19 Feb 2023 Zirong Chen, Issa Li, Haoxiang Zhang, Sarah Preum, John A. Stankovic, Meiyi Ma

The evaluation results on real-world city requirements show that CitySpec increases the sentence-level accuracy of requirement specification from 59. 02% to 86. 64%, and has strong adaptability to a new city and a new domain (e. g., the F1 score for requirements in Seattle increases from 77. 6% to 93. 75% with online learning).

Sentence

Bil-DOS: A Bi-lingual Dialogue Ordering System (for Subway)

1 code implementation11 Oct 2022 Zirong Chen, Haotian Xue

Due to the unfamiliarity to particular words(or proper nouns) for ingredients, non-native English speakers can be extremely confused about the ordering process in restaurants like Subway.

Applying FrameNet to Chinese(Poetry)

no code implementations11 Oct 2022 Zirong Chen

Afterwards, the translation from modern Chinese will be conducted as well for the comparison between the applications of CFN and English FrameNet.

Translation

An Intelligent Assistant for Converting City Requirements to Formal Specification

no code implementations14 Jun 2022 Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Preum, John Stankovic, Meiyi Ma

In this paper, we present CitySpec, an intelligent assistant system for requirement specification in smart cities.

CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities

no code implementations7 Jun 2022 Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Preum, John A. Stankovic, Meiyi Ma

An increasing number of monitoring systems have been developed in smart cities to ensure that real-time operations of a city satisfy safety and performance requirements.

Sentence

Detecting Heads using Feature Refine Net and Cascaded Multi-Scale Architecture

no code implementations25 Mar 2018 Dezhi Peng, Zikai Sun, Zirong Chen, Zirui Cai, Lele Xie, Lianwen Jin

To improve the performance of small head detection, we propose a cascaded multi-scale architecture which has two detectors.

Head Detection

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