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# Xia Jiahao

**Headline:** Professional profile
**Location:** UNKNOWN, UNKNOWN, USA

## About

Xia Jiahao is a systems and AI researcher and developer focused on practical compiler optimization, deep learning infrastructure, and formal verification\. Xia is currently working on a polyhedral compilation verification project that has been submitted to CPP 2027, and is especially interested in continuing work on polyhedral compilation optimization because of its practical applications\. Xia’s strengths span probabilistic logic inference engine optimization, compiler verification, deep learning frameworks, and open\-source software\. Xia published a paper at FMCAD 2026 on probabilistic logic inference engine optimization, built NEEDLE as a deep learning system framework that mimics PyTorch, and has contributed to the Tailong and VLLM open\-source projects\. When end\-to\-end verification did not succeed, Xia adjusted the project strategy rather than treating the initial approach as fixed\. Xia favors practical, goal\-driven technical work with real\-world impact over purely theoretical problems, particularly complex work that connects systems, optimization, and AI\. Xia also values collaborative environments and mentorship opportunities\.

## Highlights

- Published a paper at FMCAD 2026 on probabilistic logic inference engine optimization\.
- Built NEEDLE, a deep learning system framework that mimics PyTorch\.
- Contributed to the Tailong open\-source project\.
- Contributed to the VLLM open\-source project\.
- Working on a compiler optimization project involving polyhedral compilation verification\.
- Submitted the polyhedral compilation verification project to CPP 2027\.
- Adapted project strategy when end\-to\-end verification did not succeed\.

## FAQ

### What does Xia Jiahao do?

Xia Jiahao works on practical systems, AI infrastructure, compiler optimization, and formal verification\. Xia is currently working on polyhedral compilation verification and is particularly interested in polyhedral compilation optimization with practical applications\.

### What did Xia accomplish at FMCAD 2026?

Xia published a paper at FMCAD 2026 on probabilistic logic inference engine optimization\.

### What is Xia working on for CPP 2027?

Xia is working on a compiler optimization project involving polyhedral compilation verification\. The project has been submitted to CPP 2027\.

### What technical area does Xia want to pursue?

Xia is most interested in continuing work on polyhedral compilation optimization because of its practical applications\.

### What is NEEDLE, the system Xia built?

Xia built NEEDLE, a deep learning system framework that mimics PyTorch\.

### What open\-source projects has Xia contributed to?

Xia has made open\-source contributions to Tailong and VLLM\.

### What kind of work does Xia prefer?

Xia prefers practical, goal\-driven work that has real\-world impact rather than purely theoretical problems\.

### What work environment does Xia value?

Xia values collaborative environments with mentorship opportunities\.

### How does Xia respond when a verification approach does not work?

When end\-to\-end verification did not succeed, Xia changed the project strategy rather than remaining committed to the initial approach\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/jiahao\-xia\-274214325

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