Search Results for author: Chenglong Wang

Found 22 papers, 5 papers with code

Fault-Aware Neural Code Rankers

no code implementations4 Jun 2022 Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu K Lahiri, Madanlal Musuvathi, Jianfeng Gao

Large language models (LLMs) have demonstrated an impressive ability to generate code for various programming tasks.

Code Generation

Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis

no code implementations8 Apr 2022 Chenglong Wang, Yun Liu, Fen Wang, Chengxiu Zhang, Yida Wang, Mei Yuan, Guang Yang

However, detection and accurate diagnosis of pulmonary nodules depend heavily on the experiences of radiologists and can be a heavy workload for them.

The NiuTrans System for the WMT21 Efficiency Task

1 code implementation16 Sep 2021 Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Minyi Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu

This paper describes the NiuTrans system for the WMT21 translation efficiency task (http://statmt. org/wmt21/efficiency-task. html).

Knowledge Distillation Translation

Half-Truth: A Partially Fake Audio Detection Dataset

no code implementations8 Apr 2021 Jiangyan Yi, Ye Bai, JianHua Tao, Zhengkun Tian, Chenglong Wang, Tao Wang, Ruibo Fu

Diverse promising datasets have been designed to hold back the development of fake audio detection, such as ASVspoof databases.

Speech Synthesis

Falx: Synthesis-Powered Visualization Authoring

no code implementations1 Feb 2021 Chenglong Wang, Yu Feng, Rastislav Bodik, Isil Dillig, Alvin Cheung, Amy J. Ko

Modern visualization tools aim to allow data analysts to easily create exploratory visualizations.

Human-Computer Interaction Programming Languages

Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN

no code implementations24 Mar 2020 Chenglong Wang, Masahiro Oda, Kensaku MORI

In this paper, we present a memory-efficient FCN to tackle the high GPU memory demand challenge in organ segmentation problem from clinical CT images.

Computed Tomography (CT) Medical Image Segmentation +1

Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints

no code implementations15 Jan 2020 Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko

Although exploring alternatives is fundamental to creating better interface designs, current processes for creating alternatives are generally manual, limiting the alternatives a designer can explore.

Learning Transferable Graph Exploration

no code implementations NeurIPS 2019 Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli

We propose a `learning to explore' framework where we learn a policy from a distribution of environments.

Efficient Exploration

Robust Text-to-SQL Generation with Execution-Guided Decoding

1 code implementation9 Jul 2018 Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Mao, Oleksandr Polozov, Rishabh Singh

We consider the problem of neural semantic parsing, which translates natural language questions into executable SQL queries.

Semantic Parsing Text-To-Sql

Pointing Out SQL Queries From Text

no code implementations ICLR 2018 Chenglong Wang, Marc Brockschmidt, Rishabh Singh

We present a system that allows for querying data tables using natural language questions, where the system translates the question into an executable SQL query.

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