Bingxuan Li
I'm an incoming CS PhD at University of Illinois Urbana-Champaign (UIUC). I recently completed my Master Degree from the University of California, Los Angeles (UCLA), where I advised by Professor Nanyun Peng and Professor Kai-Wei Chang, and mentored by Professor Yiwei Wang. Before that, I completed my Bachelor's Degree at Purdue University, where I double-majored in Computer Science and Data Science. I have fortune to be mentored and work with Professor Bingxin Zhao, Professor Pengyi Shi, Professor Amy Ward, and Professor Tianyi Zhang.
My current research focus on three-fold:
- Agentic AI
- Multimodal Understanding and Reasoning
- AI Application in Human Health, including AI for Biomedical and Medicine Scientific Discovery, and AI for Healthcare.
📚 Selected Publications
For the full list of publications, please visit my Google Scholar page.
Under-review Pre-prints
Pre-print
Embodied AI
Multi-Modal
NEW!! Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
Yining Hong*, Rui Sun*, Bingxuan Li, Xingchen Yao, Maxine Wu, Alexander Chien, Da Yin, Ying Nian Wu, Zhecan James Wang, Kai-Wei Chang
Under Review.
Peer-reviewed Publications
ACL-2025
Multimodal Reasoning
NEW!! METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling
Bingxuan Li, Yiwei Wang, Jiuxiang Gu, Kai-Wei Chang, Nanyun Peng
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL-2025 Main Conference).
ICML-2025
Multimodal Learning
NEW!! Contrastive Visual Data Augmentation
Bingxuan Li*, Yu Zhou*, Mohan Tang* (*equal contribution, interchangeable order), Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng
Proceedings of the Forty-Second International Conference on Machine Learning (ICML-2025).
EMNLP-2024
Controllable Generation
CVPR-2025
Multimodal Reasoning
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
Xueqing Wu*, Yuheng Ding*, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng
Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2025).
NAACL-2025
Controllable Generation
Creative Generation
AAAI-2025 GenAI4Health Workshop
LLMs Reasoning
Machine Learning
IUI-2025
Multimodal
Human Computer Interaction
IAAI-2024
AI for Social Good
Combining Machine Learning and Queueing Theory for Data-driven Incarceration-Diversion Program Management
Bingxuan Li, Antonio Castellanos, Pengyi Shi, Amy Ward
Proceedings of the Thirty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (Collated with AAAI-2024). Oral Presentation
Science
AI for Biomedical Research
Multimodal
Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images
Bingxin Zhao, Tengfei Li, Zirui Fan, Yue Yang, Juan Shu, Xiaochen Yang, Xifeng Wang, Tianyou Luo, Jiarui Tang, Di Xiong, Zhenyi Wu, Bingxuan Li, Jie Chen, Yue Shan, Chalmer Tomlinson, Ziliang Zhu, Yun Li, Jason L Stein, Hongtu Zhu
Science, 2023
Nature Communications
AI for Biomedical Research
Multimodal
Eye-brain connections revealed by multimodal retinal and brain imaging genetics
Bingxin Zhao, Yujue Li, Zirui Fan, Zhenyi Wu, Juan Shu, Xiaochen Yang, Yilin Yang, Xifeng Wang, Bingxuan Li, Xiyao Wang, Carlos Copana, Yue Yang, Jinjie Lin, Yun Li, Jason L Stein, Joan M O’Brien, Tengfei Li, Hongtu Zhu
Nature Communications, 2024
KDD'2023
Multimodal
Neuro-symbolic Learning
Active Learning
Services: Reviewing for NeurIPS2024, ICLR2025, AISTATS2025, ICML2025
🏫 Education
University of California, Los Angeles | Los Angeles, CA
September, 2023 - December, 2024
Master of Engineering in Artificial Intelligence
GPA: 3.95 / 4.0
MEng Fellowship Award
Purdue University | West Lafayette, IN
August, 2019 - May, 2023
Bachelor of Science in Computer Science, Bachelor of Science in Data Science | Double Major
GPA: 3.91 / 4.0
Dean's List (8 / 8 semesters), Semester Honor (8 / 8 semesters), DUIRI Research Fellowship, JD Global Student Scholarship
👨💻 Research Experiences
UCLA NLP | Advisor: Professor Kai-Wei Chang
October, 2023 - Present
- Multimodal understanding and reasoning
UCLA PLUS Lab | Advisor: Professor Nanyun Peng
September, 2023 - Present
- Creative Generation
- Controllable Generation
Wharton Statistics and Data Science Department, University of Pennsylvania | Advisor: Professor Bingxin Zhao
September, 2020 - Present
- AI for biomedical scientific discovery
- Large-scale data analysis
- Applications for genetic data exploration
Daniel School of Business, Purdue University | Advisor: Professor Pengyi Shi
March, 2020 - Present
- AI for operations research
- AI for healthcare
- Applications for social good
Booth School of Business, University of Chicago | Advisor: Professor Amy Ward
March, 2023 - Present
- AI for operations research
- Applications for social good
Human-Centered Software Systems Lab, Purdue University | Advisor: Professor Tianyi Zhang
May, 2020 - September, 2024
- Human-Computer Interaction
- Computer Vision
🛠️ Selected Projects
Chart Storytelling
Multimodal Understanding
Controllable Generation
- Developed Evaluation Framework: Assessed pre-trained Vision Language Models (VLMs) like GPT-4V and LLaVA on chart storytelling, focusing on generating coherent narratives from visual data.
- Improved Model Performance: Fine-tuned LLaVA for better analysis and storytelling with custom prompts, boosting its ability to handle complex charts.
- Conducted Case Studies: Analyzed VLM robustness and versatility across different chart types and scientific domains.
Decoding Electroencephalography Brain Activity Signals with Deep Learning
Deep Learning
AI for Science
Multimodal
- Developed Data Augmentation Strategies: Implemented spectrogram transformation, clustering-based augmentation, and subsampling with noise to enhance EEG data classification accuracy.
- Explored Multiple Deep Learning Models: Trained CNN, RNN, and hybrid models (CNN+LSTM, CNN+GRU), achieving 73% test accuracy with CNN and 70% with CNN+GRU on combined subject data.
- Performed Cross-Validation: Improved model generalizability across subjects, refining hyperparameters and optimizing performance with cross-validation techniques.
POSTMAN: Task-Based Delivery Platform for Fast Errand Solutions
Full-Stack Development
Human-Computer Interaction
- Designed UI with MUI in Figma. Developed web page based on React framework. Implement real-time map with Google Map API.
- Implemented authorization and chatting functions. Used Express as server to interact with MongoDB cluster database and configured Redux store for data operation.
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