Chenglong Wang

Senior Researcher

论文与出版物

查看方式：

- Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
  
  Chenglong Wang, Bongshin Lee, Steven Drucker, Dan Marshall, Jianfeng Gao
  
  CHI 2025 | April 2025
  
  Publication 视频 Access
- DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
  
  Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang
  
  CHI 2024 | May 2024
  
  Best Paper, CHI 2024
  
  Publication
- How Do Analysts Understand and Verify AI-Assisted Data Analyses?
  
  Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Drucker
  
  CHI 2024 | May 2024
  
  Publication
- PhotoScout: Synthesis-Powered Multi-Modal Image Search
  
  Celeste Barnaby, Qiaochu Chen, Chenglong Wang, Isil Dillig
  
  CHI 2024 | May 2024
  
  Publication
- Data Formulator: AI-powered Concept-driven Visualization Authoring
  
  Chenglong Wang, John Thompson, Bongshin Lee
  
  September 2023
  
  Publication 视频 Access
- Is Self-Repair a Silver Bullet for Code Generation?
  
  Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
  
  ICLR 2024 | June 2023
  
  Publication
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication 项目
- Interactive Code Generation via Test-Driven User-Intent Formalization
  
  Shuvendu Lahiri, Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Piali Choudhury, Curtis von Veh, Madan Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
  
  August 2022
  
  Publication 项目

- Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
  
  Chenglong Wang, Bongshin Lee, Steven Drucker, Dan Marshall, Jianfeng Gao
  
  CHI 2025 | April 2025
  
  Publication 视频 Access
- Data Formulator: AI-powered Concept-driven Visualization Authoring
  
  Chenglong Wang, John Thompson, Bongshin Lee
  
  September 2023
  
  Publication 视频 Access
- Is Self-Repair a Silver Bullet for Code Generation?
  
  Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
  
  ICLR 2024 | June 2023
  
  Publication
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication 项目
- Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
  
  Chenglong Wang, Bongshin Lee, Steven Drucker, Dan Marshall, Jianfeng Gao
  
  CHI 2025 | April 2025
  
  Publication 视频 Access
- PhotoScout: Synthesis-Powered Multi-Modal Image Search
  
  Celeste Barnaby, Qiaochu Chen, Chenglong Wang, Isil Dillig
  
  CHI 2024 | May 2024
  
  Publication
- How Do Analysts Understand and Verify AI-Assisted Data Analyses?
  
  Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Drucker
  
  CHI 2024 | May 2024
  
  Publication
- DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
  
  Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang
  
  CHI 2024 | May 2024
  
  Best Paper, CHI 2024
  
  Publication
- Data Formulator: AI-powered Concept-driven Visualization Authoring
  
  Chenglong Wang, John Thompson, Bongshin Lee
  
  September 2023
  
  Publication 视频 Access
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication 项目
- Interactive Code Generation via Test-Driven User-Intent Formalization
  
  Shuvendu Lahiri, Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Piali Choudhury, Curtis von Veh, Madan Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
  
  August 2022
  
  Publication 项目

- Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way
  
  Chenglong Wang, Bongshin Lee, Steven Drucker, Dan Marshall, Jianfeng Gao
  
  CHI 2025 | April 2025
  
  Publication 视频 Access
- PhotoScout: Synthesis-Powered Multi-Modal Image Search
  
  Celeste Barnaby, Qiaochu Chen, Chenglong Wang, Isil Dillig
  
  CHI 2024 | May 2024
  
  Publication
- How Do Analysts Understand and Verify AI-Assisted Data Analyses?
  
  Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Drucker
  
  CHI 2024 | May 2024
  
  Publication
- DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing
  
  Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang
  
  CHI 2024 | May 2024
  
  Best Paper, CHI 2024
  
  Publication
- Is Self-Repair a Silver Bullet for Code Generation?
  
  Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama
  
  ICLR 2024 | June 2023
  
  Publication
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
  
  NeurIPS 2022 | November 2022
  
  Publication Publication 项目
- Data Formulator: AI-powered Concept-driven Visualization Authoring
  
  Chenglong Wang, John Thompson, Bongshin Lee
  
  September 2023
  
  Publication 视频 Access
- Interactive Code Generation via Test-Driven User-Intent Formalization
  
  Shuvendu Lahiri, Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Piali Choudhury, Curtis von Veh, Madan Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao
  
  August 2022
  
  Publication 项目

Chenglong Wang

论文与出版物

Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

How Do Analysts Understand and Verify AI-Assisted Data Analyses?

PhotoScout: Synthesis-Powered Multi-Modal Image Search

Data Formulator: AI-powered Concept-driven Visualization Authoring

Is Self-Repair a Silver Bullet for Code Generation?

Fault-Aware Neural Code Rankers

Interactive Code Generation via Test-Driven User-Intent Formalization

Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way

Data Formulator: AI-powered Concept-driven Visualization Authoring

Is Self-Repair a Silver Bullet for Code Generation?

Fault-Aware Neural Code Rankers

Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way

PhotoScout: Synthesis-Powered Multi-Modal Image Search

How Do Analysts Understand and Verify AI-Assisted Data Analyses?

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

Data Formulator: AI-powered Concept-driven Visualization Authoring

Fault-Aware Neural Code Rankers

Interactive Code Generation via Test-Driven User-Intent Formalization

Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way

PhotoScout: Synthesis-Powered Multi-Modal Image Search

How Do Analysts Understand and Verify AI-Assisted Data Analyses?

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing

Is Self-Repair a Silver Bullet for Code Generation?

Fault-Aware Neural Code Rankers

Data Formulator: AI-powered Concept-driven Visualization Authoring

Interactive Code Generation via Test-Driven User-Intent Formalization

联系 Chenglong Wang

Microsoft Research Lab – Redmond