2 citations · 2 across the 16 of their papers we have counts for
17 papers
EvoMaestro: Toward Interpretable and Steerable LLM-Driven Program Evolution
Feng Liang, Sizhe Cheng, Yikai Li +3
Recent program evolution systems use large language models (LLMs) to generate and iteratively improve populations of programs, producing striking advances in mathematics, algorithm…
SAVVY: Student Attention Visualization for Video-based Learning Analysis
Shixian Zhou, Minghuan Shen, Xiaolin Wen +6
Video-Based Learning (VBL) has become a popular delivery medium of education in the past decade, ranging from online education to hybrid learning. Students' rising expectations for…
ManiScope: LLM-Assisted Visual Analytics of Cryptocurrency Manipulation Risk
Xiaolin Wen, Feng Liang, Yuanye Ma +5
Cryptocurrency markets are vulnerable to trade-based manipulation, such as wash trading, which can distort price signals and mislead investors. Prior research has mainly focused on…
Vibe Coding for Visualization Implementation: An Empirical Study of Practices and Challenges
Zhengyu Sun, Xiaolin Wen, Fengjie Wang +4
Data visualization is essential for data analysis and communication, yet creating expressive visualizations remains labor-intensive. Recent AI-driven ``vibe coding'' tools enable u…
When the Chain Breaks: Interactive Diagnosis of LLM Chain-of-Thought Reasoning Errors
Shiwei Chen, Niruthikka Sritharan, Xiaolin Wen +3
Current Large Language Models (LLMs), especially Large Reasoning Models, can generate Chain-of-Thought (CoT) reasoning traces to illustrate how they produce final outputs, thereby…
InconLens: Interactive Visual Diagnosis of Behavioral Inconsistencies in LLM-based Agentic Systems
Shuo Yan, Xiaolin Wen, Shaolun Ruan +5
Large Language Model (LLM)-based agentic systems have shown growing promise in tackling complex, multi-step tasks through autonomous planning, reasoning, and interaction with exter…
Human in the Loop for Fuzz Testing: Literature Review and the Road Ahead
Jiongchi Yu, Xiaolin Wen, Sizhe Cheng +3
Fuzz testing is one of the most effective techniques for detecting bugs and vulnerabilities in software. However, as the basis of fuzz testing, automated heuristics often fail to u…
From Static to Interactive: Authoring Interactive Visualizations via Natural Language
Can Liu, Jaeuk Lee, Tianhe Chen +3
Interactivity is crucial for effective data visualizations. However, it is often challenging to implement interactions for existing static visualizations, since the underlying code…
Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles
Shaolun Ruan, Rui Sheng, Xiaolin Wen +5
Design studies aim to create visualization solutions for real-world problems of different application domains. Recently, the emergence of large language models (LLMs) has introduce…
Envisage: Towards Expressive Visual Graph Querying
Xiaolin Wen, Qishuang Fu, Shuangyue Han +3
Graph querying is the process of retrieving information from graph data using specialized languages (e.g., Cypher), often requiring programming expertise. Visual Graph Querying (VG…
IntelliCircos: A Data-driven and AI-powered Authoring Tool for Circos Plots
Mingyang Gu, Jiamin Zhu, Qipeng Wang +4
Genomics data is essential in biological and medical domains, and bioinformatics analysts often manually create circos plots to analyze the data and extract valuable insights. Howe…
PrettiSmart: Visual Interpretation of Smart Contracts via Simulation
Xiaolin Wen, Tai D. Nguyen, Lun Zhang +2
Smart contracts are the fundamental components of blockchain technology. They are programs to determine cryptocurrency transactions, and are irreversible once deployed, making it c…
PonziLens+: Visualizing Bytecode Actions for Smart Ponzi Scheme Identification
Xiaolin Wen, Tai D. Nguyen, Shaolun Ruan +4
With the prevalence of smart contracts, smart Ponzi schemes have become a common fraud on blockchain and have caused significant financial loss to cryptocurrency investors in the p…
VIOLET: Visual Analytics for Explainable Quantum Neural Networks
Shaolun Ruan, Zhiding Liang, Qiang Guan +4
With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum…
Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum
Xiaolin Wen, Kim Siang Yeo, Yong Wang +3
Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed…
DiffSeer: Difference-based Dynamic Weighted Graph Visualization
Xiaolin Wen, Yong Wang, Meixuan Wu +5
Existing dynamic weighted graph visualization approaches rely on users' mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectivel…
NFTDisk: Visual Detection of Wash Trading in NFT Markets
Xiaolin Wen, Yong Wang, Xuanwu Yue +2
With the growing popularity of Non-Fungible Tokens (NFT), a new type of digital assets, various fraudulent activities have appeared in NFT markets. Among them, wash trading has bec…