Chenglong Wang

• I design programming languages for creating visual artifacts (Flint, PiCCL).
• I build agentic tools that help people work with data (Data Formulator).
• I do research on agent memory and simulators (PlugMem, StudentSim, ReUseIt).

I got my PhD in University of Washington. I was lucky to work with Ras Bodik and Alvin Cheung. I studied in Peking University and was lucky to work with Zhenjiang Hu and Yingfei Xiong.

Blogs

• Flint: A visualization language for the AI era July 2026
• Data Formulator 0.7: AI-powered data analytics for enterprise data May 2026
• PlugMem: Transforming raw agent interactions into reusable knowledge March 2026
• Data Formulator: Exploring how AI can help analysts create rich data visualizations October 2024
• Data Formulator: A concept-driven, AI-powered approach to data visualization October 2023

Papers

• StudentSim: Training LLM-based Student Simulators (preprint)

  Ke Yang, Chenglong Wang, Michel Galley, Chandan Singh, Jeevana Priya Inala, ChengXiang Zhai, Jianfeng Gao

  [arxiv] [github]
• Chart2SVG: Editable SVG Generation from Raster Chart Images (VIS 2026)

  Jinning Cui, Lu Chen, Haoyan Shi, Yue He, Chenglong Wang, Mengyu Zhou, Weidong Huang, Yunhai Wang

  [arxiv]
• Flint: A Semantics-Driven Data Visualization Intermediate Language (VIS 2026)

  Yunhai Wang, Kecheng Lu, Junhao Chen, Alper Sarikaya, Chenglong Wang

  [arxiv] [website] [github]
• VGI-Bench: Probing Visual Intelligence in Video Generation Models (EMNLP 2026)

  Xuan He, Cong Wei, Yuhao Cheng, Linrui Ma, Yuxuan Zhang, Zuojun Li, Yuhao Wen, Jize Jiang, Zeyi Liu, Yuren Hao, Songcheng Cai, Keming Wu, Penghui Du, Kai Zou, Rui Yang, Chenkai Sun, Ke Yang, Ping Nie, Kelsey R Allen, Chenglong Wang, Michel Galley, Jianfeng Gao, ChengXiang Zhai

  [arxiv]
• MUSE: An Interactive Meta-Agent for Understanding and Steering LLM-powered Data Science Systems (UIST 2026)

  Wei-Hao Chen, Weixi Tong, Yuan Tian, Chenglong Wang, Tianyi Zhang

  [arxiv]
• PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents (ICML 2026)

  Ke Yang, Zixi Chen, Xuan He, Jize Jiang, Michel Galley, Chenglong Wang, Jianfeng Gao, Jiawei Han, ChengXiang Zhai

  [arxiv] [github]
• ReUseIt: Synthesizing Reusable AI Agent Workflows for Web Automation (IUI 2026)

  Yimeng Liu, Misha Sra, Jeevana Priya Inala, Chenglong Wang

  [arxiv]
• PiCCL: Data-Driven Composition of Bespoke Pictorial Charts (VIS 2025)

  Haoyan Shi, Yunhai Wang, Junhao Chen, Chenglong Wang, Bongshin Lee

  [website] [github]
• 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] [tool] [github]
• 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, Steven M. Drucker

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

  Celeste Barnaby, Qiaochu 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] [tool] [github] [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 M. McNutt, Chenglong Wang, Robert A. 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 K Lahiri, Madanlal 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 Specifications (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]