I am currently a Ph.D. candidate of Computer Engineering at the Visual Analytics and Intelligence Group of ZJU (ZJUVAI), under the supervision of Prof. Wei Chen. Before that, I received my B.E. degree in Software Engineering from Zhejiang University. I have also worked with XLang Lab at the University of Hong Kong, advised by Prof. Tao Yu.
My research interests broadly lie in the intersection of large language models, visual analytics, and human-computer interaction. I design and implement novel visualization systems that enable users to interact with data and machines more efficiently. Recently, I am specifically interested in AI-assisted data analysis, focusing on leveraging advanced generative AI techniques (especially LLMs/VLMs) to augment data engineering, science, and analysis workflows.
Besides, I am passionate about photography and traveling.
📝 Publications
DataLab: A Unified Platform for LLM-Powered Business Intelligence
Luoxuan Weng, Yinghao Tang, Yingchaojie Feng, Zhuo Chang, 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, Peng Chen, 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
Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detection
Luoxuan Weng, Shi Liu, Hang Zhu, Jiashun Sun, Kam Kwai Wong, Dongming Han, Minfeng Zhu, Wei Chen
Information Visualization, 2024
OpenAgents: An Open Platform for Language Agents in the Wild
Tianbao Xie*, Fan Zhou*, Zhoujun Cheng*, Peng Shi*, Luoxuan Weng*, Yitao Liu*, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu (*Equal contribution)
Conference on Language Modeling, 2024
Visual Diagnostics of Parallel Performance in Training Large-Scale DNN Models
Yating Wei, Zhiyong Wang, Zhongwei Wang, Yong Dai, Gongchang Ou, Han Gao, Haitao Yang, Yue Wang, Caleb Chen Cao, Luoxuan Weng, Jiaying Lu, Rongchen Zhu, Wei Chen
IEEE Transactions on Visualization and Computer Graphics, 2023
📽 Projects
💻 Experiences
- 2025.01 - now, Research Engineer, HiThink, Hangzhou
- 2024.06 - 2024.12, Research Engineer, Tencent, Shenzhen
- 2023.06 - 2023.11, Research Assistant, XLang Lab, Hong Kong
- 2021.08 - 2021.12, Research Engineer, Huawei, Hangzhou
- 2020.07 - 2020.10, Software Engineer, Tencent, Shenzhen
🎖 Honors and Awards
- First Prize in Academic Excellence Scholarship, 2023-2024
- Outstanding Graduate of Zhejiang University, 2021
- Excellent Engineering Scholarship, 2021
- Zhejiang University Scholarship, 2017-2020
- Academic Excellence Award, 2017-2020
- Innovation and Entrepreneurship Award, 2017
📖 Educations
- Ph.D. student @ZJU, Computer Engineering, 2022-Present
- Master student @ZJU, Computer Science, 2021-2022
- B.E. @ZJU, Software Engineering, 2017-2021