Scholar
Longchao Da
Google Scholar ID: jic73NsAAAAJ
Arizona State University
Citations & Impact
Citations
355
H-index
10
i10-index
10
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- 1. Paper 'Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving' accepted to AAAI2026.
- 2. Paper 'Uncertainty Quantification of LLM Explanations' accepted to COLM2025.
- 3. Paper 'Segment as You Wish–Free-Form Language-Based Segmentation for Medical Images' accepted to KDD25.
- 4. Received Best Poster Award at SDM 2025 Doctoral Forum.
- 5. Paper 'Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks' accepted to ICML 2025.
- 6. Paper 'Understanding the uncertainty of llm explanations: A perspective based on reasoning topology' accepted to MetaCog'25 and ARRML'25 workshops.
- 7. Poster 'LibSignal++ Sim-to-Real physical testbed' accepted by ICCPS 2025.
- 8. Two papers accepted to SDM 2025.
- 9. One paper accepted to NeurIPS 2024.
- 10. One paper accepted to ITSC 2024.
- 11. One paper accepted to CIKM 2024.
Research Experience
- 1. Interned at Honda Research, working on the evaluation of trajectory predictors in autonomous driving.
- 2. Interned at GE Healthcare, conducting research on free-form text prompt segmentation.
Education
- Ph.D. candidate at the Computer Science Department, Arizona State University, under the supervision of Professor Hua Wei at the Data Mining and Reinforcement Learning (DaRL) Lab.
Background
- Research interests include Large Language Models (LLMs), Reinforcement Learning, Data Mining, and Trustworthy Policy Evaluation & Deployment. Dedicated to solving bottleneck problems and applying them to real-world scenarios.
Miscellany
- Actively seeking tenure-track assistant professor roles and applied scientist positions.
