Scholar
Chenguang Wang
Google Scholar ID: usWh1HEAAAAJ
Ph.D. student, Stony Brook University
Citations & Impact
Citations
91
H-index
7
i10-index
4
Publications
12
Co-authors
0
Publications
Resume
Academic Achievements
- 1. One paper put on arXiv on Sep 6, 2025: From Image Generation to Infrastructure Design: a Multi-agent Pipeline for Street Design Generation.
- 2. One paper put on arXiv on Jun 23, 2025: CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning.
- 3. Two papers accepted by ACL 2025 on May 16, 2025: From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs; Mosaic-IT: Free Compositional Data Augmentation Improves Instruction Tuning.
- 4. Successfully passed the qualifying examination and advanced to Ph.D. candidacy at Stony Brook University on Jan 24, 2025.
- 5. One paper accepted by NAACL 2025 on Jan 22, 2025: RuleR: Improving LLM Controllability by Rule-based Data Recycling.
- 6. One paper accepted by International Journal of Disaster Risk Reduction on Jul 14, 2024: Near-real-time earthquake-induced fatality estimation using crowdsourced data and large-language models.
- 7. One paper accepted by International Journal of Disaster Risk Reduction on Mar 5, 2024: Scalable and rapid building damage detection after hurricane Ian using causal Bayesian networks and InSAR imagery.
Research Experience
- Graduate Visiting Scholar at Johns Hopkins University from 2024 to 2025.
Education
- Bachelor of Science in Computer Science from Xi’an Jiaotong University in 2020; Master of Science in Computer Science from Stevens Institute of Technology in 2023, advised by Prof. Xiaojiang Du; Currently a Ph.D. candidate at Stony Brook University, advised by Prof. Susu Xu.
Background
- Research Interests: Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM). Specific Focus: LLM applications in Disaster Management, Post-training for LLMs, Multi-Modal LLMs (MLLMs).
Miscellany
- Personal Interests: Interested in RAG, Agent, and RL.