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Home/Authors/Ting Chen

Ting Chen

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Vision×1Software Eng.×1

Frequent co-authors

Geng Li1×
Guohao Chen1×
Shilin Shan1×
Kuangji Zuo1×
Bofan Lyu1×
Tuo An1×

Research Timeline

2026
DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers

DeltaMCP is a specification-aware, incremental regeneration tool that efficiently updates Model Context Protocol (MCP) servers by only modifying affected tooling when a service's OpenAPI specification changes, significantly reducing developer overhead.

OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning

OccamToken introduces a training-free, adaptive token pruning framework that replaces fixed token budgets with relative evidence testing against a register-based reference, significantly improving VLM efficiency while maintaining high accuracy.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIRecentMay 28, 2026

OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning

Geng Li, Guohao Chen, Ting Chen, Shilin Shan +5 more

OccamToken introduces a training-free, adaptive token pruning framework that replaces fixed token budgets with relative evidence testing against a register-based reference, significantly improving VLM…

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cs.SEcs.AIRecentMay 27, 2026

DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers

Aditya Pujara, Xiaogang Zhu, Hsiang-Ting Chen

DeltaMCP is a specification-aware, incremental regeneration tool that efficiently updates Model Context Protocol (MCP) servers by only modifying affected tooling when a service's OpenAPI specification…

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