Chenglong Wang

I'm a researcher in Microsoft Research. We are design new interative approaches (e.g., dynmaic & multi-modal interfaces) to help people better work with AI to analyze data.

I got my PhD in University of Washington. I was lucky to work with Ras Bodik and Alvin Cheung, and we built program synthesis-powered tools for data analysis. I studied in Peking University. I was lucky to work with Zhenjiang Hu and Yingfei Xiong on program transformation.

Check out Data Formulator, our open-source AI-powered visulaization tool. [github] [video] [blog]

Drop me an email if you'd like to work together(?)

Publications

Conference

• Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way (CHI 2025)

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

  [paper]
• DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing (CHI 2024, Best Paper Award)

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

  [paper]
• How Do Analysts Understand and Verify AI-Assisted Data Analyses? (CHI 2024)

  Ken Gu , Ruoxi Shang, Tim Althoff, Chenglong Wang, and Steven M. Drucker

  [paper]
• PhotoScout: Synthesis-Powered Multi-Modal Image Search (CHI 2024)

  Celeste Barnaby, Jocelyn Chen, Chenglong Wang, Isil Dillig

  [paper]
• Is Self-Repair a Silver Bullet for Code Generation? (ICLR 2024)

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

  [paper]
• Data Formulator: AI-powered Concept-driven Visualization Authoring (VIS 2023, Honorable Mention)

  Chenglong Wang, John Thompson, Bongshin Lee

  [paper] [overview-video] [blog]
• Fast and Reliable Program Synthesis via User Interaction (ASE 2023)

  Yanju Chen, Chenglong Wang, Xinyu Wang, Osbert Bastani, Yu Feng
• On the Design of AI-powered Code Assistants for Notebooks (CHI 2023)

  Andrew McNutt, Chenglong Wang, Rob DeLine, Steven M. Drucker

  [paper]
• Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions (ICLR 2023)

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

  [paper]
• Fault-Aware Neural Code Rankers (NeurIPS 2022)

  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao

  [paper]
• Type-Directed Synthesis of Visualizations from Natural Language Queries (OOPSLA 2022)

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

  [paper]
• Synthesizing Analytical SQL Queries from Computation Demonstration (PLDI 2022, Distinguished Paper)

  Xiangyu Zhou, Rastislav Bodik, Alvin Cheung, Chenglong Wang

  [paper] [slides:pdf]
• Falx: Synthesis-powered Visualization Authoring (CHI 2021, Best Paper Award)

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

  [paper] [preview video] [CHI talk video] [blog post]
• Program Synthesis using Deduction-Guided Reinforcement Learning (CAV 2020)

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

  [paper]
• Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints (CHI 2020)

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

  [paper]
• Visualization by Example (POPL 2020)

  Chenglong Wang, Yu Feng, Ras Bodik, Alvin Cheung, Isil Dillig.

  [paper] [slides:pdf]
• Learning Transferable Graph Exploration (NeurIPS 2019)

  Hanjun Dai, Yujia Li, Chenglong Wang, Rishabh Singh, Po-Sen Huang, Pushmeet Kohli.

  [paper]
• Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specs (CVPR 2019)

  Chenglong Wang, Rudy Bunel, Krishnamurthy Dvijotham, Po-Sen Huang, Edward Grefenstette, Pushmeet Kohli.

  [paper] [poster:pdf]
• Speeding up Symbolic Reasoning for Relational Queries (OOPSLA 2018)

  Chenglong Wang, Alvin Cheung, Ras Bodik.

  [paper] [slides:pdf] [project-site]
• Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco (InfoVis 2018, Best Paper)

  Dominik Moritz, Chenglong Wang, Greg L. Nelson, Halden Lin, Adam M. Smith, Bill Howe, Jeffrey Heer.

  [paper] [project-site]
• Natural Language to Structured Query Generation via Meta-Learning (NAACL 2018) (short paper)

  Po-Sen Huang, Chenglong Wang, Rishabh Singh, Wen-tau Yih, Xiaodong He.

  [paper] [source]
• NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System. (LREC 2018)

  Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer, Michael D. Ernst.

  [paper] [source]
• Synthesizing Highly Expressive SQL Queries from Input-Output Examples (PLDI 2017)

  Chenglong Wang, Alvin Cheung, Rastislav Bodik.

  [paper] [slides:pdf] [project-site]
• Cosette: An Automated SQL Solver (CIDR 2017)

  Shumo Chu, Chenglong Wang, Konstantin Weitz, Alvin Cheung.

  [paper] [project-site]
• Transforming Programs between APIs with Many-to-Many Mappings (ECOOP 2016)

  Chenglong Wang, Jiajun Jiang, Jun Li, Yingfei Xiong, Xiangyu Luo, Lu Zhang, Zhenjiang Hu.

  [paper] [slides:pdf]

Random

• Testing query execution engines with mutations (DBTest 2020)

  Xinyue Chen, Chenglong Wang, Alvin Cheung.
• Execution-Guided Neural Program Decoding (NAMPI 2018)

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

  [paper]
• Demonstration of the Cosette Automated SQL Prover (SIGMOD Demo 2017, Best Demo)

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

  [demo] [paper]
• Interactive Query Synthesis from Input-Output Examples (SIGMOD Demo 2017)

  Chenglong Wang, Alvin Cheung, Rastislav Bodik.

  [demo] [paper]
• Composable and Hygienic Typed Syntax Macros (SAC 2015)

  Cyrus Omar, Chenglong Wang, Jonathan Aldrich.

  [paper] [slides:pdf]
• SWIN: Towards Type-Safe Java Program Adaptation between APIs (PEPM 2015)

  Jun Li, Chenglong Wang, Yingfei Xiong, Zhenjiang Hu.

  [paper] [tech-report]

Fun

I enjoy playing piano, climbing and skydiving.