Hello, this is Yingchaojie Feng (封颖超杰). I am currently a Ph.D. candidate in Computer Engineering at Zhejiang University under the supervision of Prof. Wei Chen in VAI group. Before that, I received my B.S. degree from Zhejiang University of Technology.
My research interests include visual analytics and natural language interaction. Specifically, I design and develop visual and interactive systems to facilitate the understanding and utility of NLP models for downstream tasks, including creative tasks (e.g., text-to-image, painting-to-poetry) and analytical tasks (e.g., NLI-based data analysis).
🔥 News
- 2025.03: 🎉 Our paper about LLM-powered business intelligence platform is accepted by IEEE ICDE, 2025!
- 2024.11: 🎉 Our paper about insight exploration for LLM-powered data analysis is accepted by IEEE TVCG, (Proc. of PacificVis 2025)!
- 2024.04: 🎉 Our paper about visual analysis of LLM-based Autonomous Systems (AgentLens) is accepted by IEEE TVCG, 2024!
- 2023.07: 📢 I presented “PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation” at ChinaVis 2023 in Chongqing.
- 2023.07: 🎉 Our paper “PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation” is finally accepted by IEEE VIS 2023!
- 2023.01: 🎉 Our paper “XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis” is finally accepted by IEEE TVCG, 2023!
📝 Publications
DataLab: A Unified Platform for LLM-Powered Business Intelligence
Luoxuan Weng, Yinghao Tang, Yingchaojie Feng, Zhuo Chang, Peng Chen, Ruiqin Chen, Haozhe Feng, Chen Hou, Danqing Huang, Yang Li, Huaming Rao, Haonan Wang, Canshi Wei, Xiaofeng Yang, Yuhui Zhang, Yifeng Zheng, Xiuqi Huang, Minfeng Zhu, Yuxin Ma, Bin Cui, Wei Chen
IEEE International Conference on Data Engineering, 2025
InsightLens: Augmenting LLM-Powered Data Analysis with Interactive Insight Management and Navigation
Luoxuan Weng, Xingbo Wang, Junyu Lu, Yingchaojie Feng, Yihan Liu, Haozhe Feng, Danqing Huang, Wei Chen
IEEE Transactions on Visualization and Computer Graphics (Proc. of PacificVis), 2025
JailbreakLens: Visual Analysis of Jailbreak Attacks Against Large Language Models
Yingchaojie Feng, Zhizhang Chen, Zhining Kang, Sijia Wang, Minfeng Zhu, Wei Zhang, and Wei Chen
arXiv Preprint, 2024
AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
Jiaying Lu, Bo Pan, Jieyi Chen, Yingchaojie Feng, Jingyuan Hu, Yuchen Peng, Wei Chen
IEEE Transactions on Visualization and Computer Graphics, 2024.
IEEEXplore | arXiv | Video
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong, Sijia Wang, Yuhong Lu, Minfeng Zhu, Baicheng Wang, Wei Chen
IEEE VIS Conference 2023
IEEEXplore | arXiv | Github | Video
XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis
Yingchaojie Feng, Xingbo Wang, Bo Pan, Kam Kwai Wong, Yi Ren, Shi Liu, Zihan Yan, Yuxin Ma, Huamin Qu, Wei Chen
IEEE Transactions on Visualization and Computer Graphics, 2023.
IEEEXplore | arXiv | Video
iPoet: interactive painting poetry creation with visual multimodal analysis
Yingchaojie Feng, Jiazhou Chen, Keyu Huang, Jason K. Wong, Hui Ye, Wei Zhang, Rongchen Zhu, Xiaonan Luo, Wei Chen
Journal of Visualization, 2021
arXivAgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration, Bo Pan, Jiaying Lu, Ke Wang, Li Zheng, Zhen Wen, Yingchaojie Feng, Minfeng Zhu, Wei ChenarXivCultiVerse: Towards Cross-Cultural Understanding for Paintings with Large Language Model, Wei Zhang, Wong Kam-Kwai, Biying Xu, Yiwen Ren, Yuhuai Li, Minfeng Zhu, Yingchaojie Feng, Wei ChenJCST 2023Computational Approaches for Traditional Chinese Painting: From the “Six Principles of Painting” Perspective, Wei Zhang, Jianwei Zhang, Kam Kwai Wong, Yifang Wang, Yingchaojie Feng, Luwei Wang, Wei ChenFITEE 2023A visual analysis approach for data imputation via multi-party tabular data correlation strategies, Haiyang Zhu, Dongmin Han, Jiacheng Pan, Yating Wei, Yingchaojie Feng, Luoxuan Weng, Ketian Mao, Yuankai Xing, Jianshu Lv, Qiucheng Wan, Wei ChenVI 2021Visualizing large-scale high-dimensional data via hierarchical embedding of KNN graphs, Haiyang Zhu, Minfeng Zhu, Yingchaojie Feng, Deng Cai, Yuanzhe Hu, Shilong Wu, Xiangyang Wu, Wei ChenVI 2021G6: A web-based library for graph visualization, Yanyan Wang, Zhanning Bai, Zhifeng Lin, Xiaoqing Dong, Yingchaojie Feng, Jiacheng Pan, Wei Chen