Final-year Ph.D. Candidate · Computer Science · University of Alabama at Birmingham
Homepage · Google Scholar · LinkedIn · Email
I study foundation model post-training, multimodal reasoning, and agentic reinforcement learning. My current interests include visual grounding, adaptive reasoning, agent memory, harness engineering, and recursive self-improvement. At UAB, I am co-advised by Tianyang Wang and Min Xu.
- Oak Ridge National Laboratory · Research Scientist Intern — Design and train an AI4Weather foundation model for the Genesis Mission.
- Amazon AGI Foundations · Applied Scientist Intern — Post-trained a 200B-parameter frontier MLLM for multimodal and agentic reasoning using SFT and reinforcement learning across more than 100 compute nodes.
| Project | Research focus | Resources |
|---|---|---|
| ReaLVR | Grounding latent visual reasoning in visual evidence | Repository · Paper · Project |
| FORGE | Adaptive evidence routing for frozen LLM agents | Repository · Paper · Project |
| VIGIL | Counterfactual visual alignment for MLLM reasoning | Repository · Paper · Project |
| StructLoRA | Structured, task-aware low-rank model adaptation | Repository · Paper · Project |
| Cascaded Semantics | Semantic guidance for vision foundation model adaptation | Repository · Paper · Project |
| Prompt Fusion Discovery | Layer-specific prompt fusion through differentiable search | Repository · Paper · Project |
See my homepage for the full publication list and background.
- SC 2025 Best Paper Award and ACM Gordon Bell Prize Finalist (team) — ORBIT-2.
- CVPR 2026 Outstanding Reviewer and ICML 2026 Silver Reviewer.
I am seeking Summer 2027 research internships in multimodal reasoning, agentic AI, and foundation model post-training.
Email: xxiao [at] uab [dot] edu
