Author

Minghao Shao

Observed name: Shao, Minghao

Institutions: New York University Abu Dhabi, Beijing Technology and Business University, Tân Tạo University, New York University

Observed institutions: New York University Abu Dhabi, Beijing Technology and Business University, Tân Tạo University, New York University

ORCID: 0009-0002-4467-6224

Observed ORCIDs: 0009-0002-4467-6224, 0009-0003-6060-5693

OpenAlex ID: A5113123602

Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges

2024 · Minghao Shao, Abdul Basit, et al. · IEEE Access · 97

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges

2024 · Shao, Minghao, Chen, Boyuan, et al. · arXiv (Cornell University) · 10

SALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design

2025 · Zeng Wang, Minghao Shao, et al. · ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) · 4

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges

2025 · Abdul Basit, Minghao Shao, et al. · IEEE International Conference on Quantum Artificial Intelligence (QAI) · 3

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark

2026 · Minghao Shao, Nanda Rani, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2

HarmChip: Evaluating Hardware Security Centric LLM Safety via Jailbreak Benchmarking

2026 · Wang, Zeng, Shao, Minghao, et al. · arXiv (Cornell University) · 1

D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security

2025 · Udeshi, Meet, Shao, Minghao, et al. · arXiv (Cornell University) · 1

EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities

2024 · Abramovich, Talor, Udeshi, Meet, et al. · arXiv (Cornell University) · 1

UnityBench-Mini3D: Evaluating LLM Agents for 3D Game Development in Unity

2026 · Zhou, Yijun, Shao, Minghao, et al. · arXiv (Cornell University)

QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code

2026 · Terki, Meriem, Innan, Nouhaila, et al. · arXiv (Cornell University)

Where Does the Audio Jailbreak Live? A Controlled Frequency-Depth Audit of AdvWave-P on Qwen2-Audio

2026 · Chen, Boyuan, Kim, Minseok, et al. · arXiv (Cornell University)

Which Image Property Carries the Jailbreak? A Controlled Dissection of Image-to-Text Jailbreaks

2026 · Chen, Boyuan, Dawoud, Yehia, et al. · arXiv (Cornell University)

How Do LLM Agents Actually Get the Flag? Trace-Level Provenance for Agentic Offensive Security Evaluation

2026 · Milner, Kimberly, Shao, Minghao, et al. · arXiv (Cornell University)

DyFIRER: A Dynamic Feedback Iterative Multi-Agent Framework for Open Relation Extraction Based on Large Language Models

2026 · Yonggang Gong, Minghao Shao, et al. · Applied Sciences

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing?

2026 · Fu, Weimin, Zhang, Hejia, et al. · arXiv (Cornell University)

NetDeTox: Adversarial and Efficient Evasion of Hardware-Security GNNs via RL-LLM Orchestration

2026 · Zeng Wang, Minghao Shao, et al. · ACM/IEEE Design Automation Conference (DAC)

Synthesis-in-the-Loop Evaluation of LLMs for RTL Generation: Quality, Reliability, and Failure Modes

2026 · Weimin Fu, Zeng Wang, et al. · ACM Great Lakes Symposium on VLSI (GLSVLSI)

VHDLSuite: Unified Pipeline for LLM VHDL Generation with Data Synthesis and Evaluation

2026 · Shen, Yijun, Shao, Minghao, et al. · arXiv (Cornell University)

QuBLAST: A Framework for Quantizing Large Language Models with Block-Level Compression Approach and Activation Scaling Strategy

2026 · Wickramasinghe, Pasindu, Muthuvelan, Achyuta, et al. · arXiv (Cornell University)

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG

2026 · Abdul Basit, Nouhaila Innan, et al. · International Joint Conference on Neural Networks (IJCNN)

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs

2026 · Parteek Jamwal, Minghao Shao, et al. · International Joint Conference on Neural Networks (IJCNN)

CodeFORGE: Framework for Orchestrated Rare Programming Language Generation and Evaluation

2026 · Zhuoyan Yu, Minghao Shao, et al. · International Joint Conference on Neural Networks (IJCNN)

MARS: A Multi-Agent RTL Synthesis Framework

2026 · Likith Anaparty, Ananthakrishnan Thulasiraman, et al. · International Joint Conference on Neural Networks (IJCNN)

PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation

2026 · Shao, Minghao, Innan, Nouhaila, et al. · arXiv (Cornell University)

Research on Educational Agents Based on Adaptive Skill Generation and Phased Retrieval

2026 · Yonggang Gong, Jialu Zhou, et al. · International Conference on Educational Digitalization and Computer Science in the Guangdong-Hong Kong-Macao Greater Bay Area

Works count: 47

Citation count: 139

H-index: 4

I10-index: 3