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Home/Authors/Ming Wu

Ming Wu

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×2Vision×1Software Eng.×1

Frequent co-authors

Peiwen Sun1×
Xudong Lu1×
Huadai Liu1×
Yang Bo1×
Dongming Wu1×
Huankang Guan1×

Research Timeline

2026
MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation

The paper introduces MUSE, a comprehensive benchmark that evaluates Text-to-CAD generation by assessing complex assemblies based on functionality, manufacturability, and assemblability, moving beyond simple geometric matching.

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents

The paper introduces Agora, a domain-aware multi-agent framework that successfully detects deep, previously unknown logic bugs in complex consensus protocols, outperforming existing LLM-based analysis methods.

X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding

The paper introduces X-Stream, a new benchmark for multi-stream video understanding, and finds that current state-of-the-art MLLMs perform poorly when required to process multiple concurrent video streams.

Highlighted terms show continued research focus across papers

Papers

cs.CVRecentJun 1, 2026

X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding

Peiwen Sun, Xudong Lu, Huadai Liu, Yang Bo +8 more

The paper introduces X-Stream, a new benchmark for multi-stream video understanding, and finds that current state-of-the-art MLLMs perform poorly when required to process multiple concurrent video str…

View →
cs.SEcs.AIRecentMay 28, 2026

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents

Xiang Liu, Sa Song, Zhaowei Zhang, Huiying Lan +5 more

The paper introduces Agora, a domain-aware multi-agent framework that successfully detects deep, previously unknown logic bugs in complex consensus protocols, outperforming existing LLM-based analysis…

View →
cs.AIRecentMay 27, 2026

MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation

Xiaoyu Dong, Zhi Li, Xiao-Ming Wu

The paper introduces MUSE, a comprehensive benchmark that evaluates Text-to-CAD generation by assessing complex assemblies based on functionality, manufacturability, and assemblability, moving beyond…

View →