Chenglong Wang

According to our database, Chenglong Wang authored at least 34 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Challenges & Opportunities with LLM-Assisted Visualization Retargeting.

Luke S. Snyder, Chenglong Wang, Steven Mark Drucker

CoRR, July, 2025

Towards Understanding Graphical Perception in Large Multimodal Models.

Kai Zhang, Jianwei Yang, Jeevana Priya Inala, Chandan Singh, Jianfeng Gao, Yu Su, Chenglong Wang

CoRR, March, 2025

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

Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

Data Formulator: AI-Powered Concept-Driven Visualization Authoring.

Chenglong Wang, John Thompson, Bongshin Lee

IEEE Trans. Vis. Comput. Graph., January, 2024

Data Analysis in the Era of Generative AI.

Jeevana Priya Inala, Chenglong Wang, Steven Mark Drucker, Gonzalo Ramos, Victor Dibia, Nathalie Riche, Dave Brown, Dan Marshall, Jianfeng Gao

CoRR, 2024

Data Formulator 2: Iteratively Creating Rich Visualizations with AI.

Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao

CoRR, 2024

Contextualized Data-Wrangling Code Generation in Computational Notebooks.

Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Is Self-Repair a Silver Bullet for Code Generation?

Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing.

Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

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

Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

PhotoScout: Synthesis-Powered Multi-Modal Image Search.

Celeste Barnaby, Qiaochu Chen, Chenglong Wang, Isil Dillig

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Towards Auto-Generated Data Systems.

Alvin Cheung, Maaz Bin Safeer Ahmad, Brandon Haynes, Chanwut Kittivorawong, Shadaj Laddad, Xiaoxuan Liu, Chenglong Wang, Cong Yan

Proc. VLDB Endow., 2023

Demystifying GPT Self-Repair for Code Generation.

Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama

CoRR, 2023

Fast and Reliable Program Synthesis via User Interaction.

Yanju Chen, Chenglong Wang, Xinyu Wang, Osbert Bastani, Yu Feng

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions.

Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Design of AI-powered Code Assistants for Notebooks.

Andrew M. McNutt, Chenglong Wang, Robert A. DeLine, Steven Mark Drucker

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Type-directed synthesis of visualizations from natural language queries.

Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig

Proc. ACM Program. Lang., 2022

Execution-based Evaluation for Data Science Code Generation Models.

Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan, Jianfeng Gao

CoRR, 2022

Interactive Code Generation via Test-Driven User-Intent Formalization.

Shuvendu K. Lahiri, Aaditya Naik, Georgios Sakkas, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao

CoRR, 2022

Learning from Self-Sampled Correct and Partially-Correct Programs.

Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao

CoRR, 2022

Synthesizing analytical SQL queries from computation demonstration.

Xiangyu Zhou, Rastislav Bodík, Alvin Cheung, Chenglong Wang

Proceedings of the PLDI '22: 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation, San Diego, CA, USA, June 13, 2022

Fault-Aware Neural Code Rankers.

Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CodeExp: Explanatory Code Document Generation.

Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Falx: Synthesis-Powered Visualization Authoring.

Chenglong Wang, Yu Feng, Rastislav Bodík, Isil Dillig, Alvin Cheung, Amy J. Ko

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Visualization by example.

Chenglong Wang, Yu Feng, Rastislav Bodík, Alvin Cheung, Isil Dillig

Proc. ACM Program. Lang., 2020

Testing query execution engines with mutations.

Xinyue Chen, Chenglong Wang, Alvin Cheung

Proceedings of the 8th International Workshop on Testing Database Systems, 2020

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

Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Program Synthesis Using Deduction-Guided Reinforcement Learning.

Yanju Chen, Chenglong Wang, Osbert Bastani, Isil Dillig, Yu Feng

Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

2018

Speeding up symbolic reasoning for relational queries.

Chenglong Wang, Alvin Cheung, Rastislav Bodík

Proc. ACM Program. Lang., 2018

Execution-Guided Neural Program Decoding.

Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh

CoRR, 2018

2017

Interactive Query Synthesis from Input-Output Examples.

Chenglong Wang, Alvin Cheung, Rastislav Bodík

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Demonstration of the Cosette Automated SQL Prover.

Shumo Chu, Daniel Li, Chenglong Wang, Alvin Cheung, Dan Suciu

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Synthesizing highly expressive SQL queries from input-output examples.

Chenglong Wang, Alvin Cheung, Rastislav Bodík

Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2017

Cosette: An Automated Prover for SQL.

Shumo Chu, Chenglong Wang, Konstantin Weitz, Alvin Cheung

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017