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ORCIDChenglong Wang 0005
Person information
- affiliation: Microsoft, Redmond, USA
Other persons with the same name
- Chenglong Wang (aka: Cheng-Long Wang) — disambiguation page
- Chenglong Wang 0001
![[0000-0002-5785-7027]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5785-7027")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China (and 1 more) - Chenglong Wang 0002 — Northeastern University, School of Computer Science and Engineering, Natural Language Processing Laboratory (NLP Lab), Shenyang, China
- Chenglong Wang 0004 — Peking University, Shenzhen Graduate School, School of Urban Planning and Design, Shenzhen, China (and 1 more)
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2020 – today
- 2025
[c20]Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao:
Data Formulator 2: Iterative Creation of Data Visualizations, with AI Transforming Data Along the Way. CHI 2025: 677:1-677:17- [i22]Kai Zhang, Jianwei Yang, Jeevana Priya Inala, Chandan Singh, Jianfeng Gao, Yu Su, Chenglong Wang:
Towards Understanding Graphical Perception in Large Multimodal Models. CoRR abs/2503.10857 (2025) - [i21]Luke S. Snyder, Chenglong Wang, Steven Mark Drucker:
Challenges & Opportunities with LLM-Assisted Visualization Retargeting. CoRR abs/2507.01436 (2025) - 2024
- [j5]Chenglong Wang, John Thompson, Bongshin Lee:
Data Formulator: AI-Powered Concept-Driven Visualization Authoring. IEEE Trans. Vis. Comput. Graph. 30(1): 1128-1138 (2024) - [c19]Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker:
How Do Analysts Understand and Verify AI-Assisted Data Analyses? CHI 2024: 748:1-748:22 - [c18]Celeste Barnaby, Qiaochu Chen, Chenglong Wang, Isil Dillig:
PhotoScout: Synthesis-Powered Multi-Modal Image Search. CHI 2024: 896:1-896:15 - [c17]Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang:
DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing. CHI 2024: 985:1-985:17 - [c16]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Is Self-Repair a Silver Bullet for Code Generation? ICLR 2024 - [c15]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. ASE 2024: 1282-1294 - [i20]Celeste Barnaby, Qiaochu Chen, Chenglong Wang, Isil Dillig:
PhotoScout: Synthesis-Powered Multi-Modal Image Search. CoRR abs/2401.10464 (2024) - [i19]Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala, Chenglong Wang:
DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing. CoRR abs/2401.10880 (2024) - [i18]Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao:
Data Formulator 2: Iteratively Creating Rich Visualizations with AI. CoRR abs/2408.16119 (2024) - [i17]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024) - [i16]Jeevana Priya Inala, Chenglong Wang, Steven Mark Drucker, Gonzalo Ramos, Victor Dibia, Nathalie Riche, Dave Brown, Dan Marshall, Jianfeng Gao:
Data Analysis in the Era of Generative AI. CoRR abs/2409.18475 (2024) - 2023
- [j4]Alvin Cheung, Maaz Bin Safeer Ahmad, Brandon Haynes, Chanwut Kittivorawong, Shadaj Laddad, Xiaoxuan Liu, Chenglong Wang, Cong Yan:
Towards Auto-Generated Data Systems. Proc. VLDB Endow. 16(12): 4116-4129 (2023) - [c14]Andrew M. McNutt, Chenglong Wang, Robert A. DeLine, Steven Mark Drucker:
On the Design of AI-powered Code Assistants for Notebooks. CHI 2023: 434:1-434:16 - [c13]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao:
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR 2023 - [c12]Yanju Chen, Chenglong Wang, Xinyu Wang, Osbert Bastani, Yu Feng:
Fast and Reliable Program Synthesis via User Interaction. ASE 2023: 963-975 - [i15]Andrew M. McNutt, Chenglong Wang, Robert A. DeLine, Steven Mark Drucker:
On the Design of AI-powered Code Assistants for Notebooks. CoRR abs/2301.11178 (2023) - [i14]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Demystifying GPT Self-Repair for Code Generation. CoRR abs/2306.09896 (2023) - [i13]Chenglong Wang, John Thompson, Bongshin Lee:
Data Formulator: AI-powered Concept-driven Visualization Authoring. CoRR abs/2309.10094 (2023) - [i12]Ken Gu, Ruoxi Shang, Tim Althoff, Chenglong Wang, Steven Mark Drucker:
How Do Analysts Understand and Verify AI-Assisted Data Analyses? CoRR abs/2309.10947 (2023) - 2022
- [j3]Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig:
Type-directed synthesis of visualizations from natural language queries. Proc. ACM Program. Lang. 6(OOPSLA2): 532-559 (2022) - [c11]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. EMNLP (Findings) 2022: 2342-2354 - [c10]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. NeurIPS 2022 - [c9]Xiangyu Zhou, Rastislav Bodík, Alvin Cheung, Chenglong Wang:
Synthesizing analytical SQL queries from computation demonstration. PLDI 2022: 168-182 - [i11]Xiangyu Zhou, Rastislav Bodík, Alvin Cheung, Chenglong Wang:
Synthesizing Analytical SQL Queries from Computation Demonstration. CoRR abs/2204.07102 (2022) - [i10]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao:
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR abs/2205.14318 (2022) - [i9]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. CoRR abs/2206.03865 (2022) - [i8]Shuvendu K. Lahiri, Aaditya Naik, Georgios Sakkas, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao:
Interactive Code Generation via Test-Driven User-Intent Formalization. CoRR abs/2208.05950 (2022) - [i7]Qiaochu Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig:
Type-Directed Synthesis of Visualizations from Natural Language Queries. CoRR abs/2209.01081 (2022) - [i6]Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan, Jianfeng Gao:
Execution-based Evaluation for Data Science Code Generation Models. CoRR abs/2211.09374 (2022) - [i5]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. CoRR abs/2211.15395 (2022) - 2021
- [c8]Chenglong Wang, Yu Feng, Rastislav Bodík, Isil Dillig, Alvin Cheung, Amy J. Ko:
Falx: Synthesis-Powered Visualization Authoring. CHI 2021: 106:1-106:15 - [i4]Chenglong Wang, Yu Feng, Rastislav Bodík, Isil Dillig, Alvin Cheung, Amy J. Ko:
Falx: Synthesis-Powered Visualization Authoring. CoRR abs/2102.01024 (2021) - 2020
- [j2]Chenglong Wang, Yu Feng, Rastislav Bodík, Alvin Cheung, Isil Dillig:
Visualization by example. Proc. ACM Program. Lang. 4(POPL): 49:1-49:28 (2020) - [c7]Yanju Chen, Chenglong Wang, Osbert Bastani, Isil Dillig, Yu Feng:
Program Synthesis Using Deduction-Guided Reinforcement Learning. CAV (2) 2020: 587-610 - [c6]Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko:
Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints. CHI 2020: 1-13 - [c5]Xinyue Chen, Chenglong Wang, Alvin Cheung:
Testing query execution engines with mutations. DBTest@SIGMOD 2020: 6:1-6:5 - [i3]Amanda Swearngin, Chenglong Wang, Alannah Oleson, James Fogarty, Amy J. Ko:
Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints. CoRR abs/2001.05424 (2020)
2010 – 2019
- 2019
- [i2]Chenglong Wang, Yu Feng, Rastislav Bodík, Alvin Cheung, Isil Dillig:
Visualization by Example. CoRR abs/1911.09668 (2019) - 2018
- [j1]Chenglong Wang, Alvin Cheung, Rastislav Bodík:
Speeding up symbolic reasoning for relational queries. Proc. ACM Program. Lang. 2(OOPSLA): 157:1-157:25 (2018) - [i1]Chenglong Wang, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, Rishabh Singh:
Execution-Guided Neural Program Decoding. CoRR abs/1807.03100 (2018) - 2017
- [c4]Shumo Chu, Chenglong Wang, Konstantin Weitz, Alvin Cheung:
Cosette: An Automated Prover for SQL. CIDR 2017 - [c3]Chenglong Wang, Alvin Cheung, Rastislav Bodík:
Synthesizing highly expressive SQL queries from input-output examples. PLDI 2017: 452-466 - [c2]Shumo Chu, Daniel Li, Chenglong Wang, Alvin Cheung, Dan Suciu:
Demonstration of the Cosette Automated SQL Prover. SIGMOD Conference 2017: 1591-1594 - [c1]Chenglong Wang, Alvin Cheung, Rastislav Bodík:
Interactive Query Synthesis from Input-Output Examples. SIGMOD Conference 2017: 1631-1634
Coauthor Index
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