Large Coercive Field in Hf0.5Zr0.5O2-based Capacitors with Gd Top Electrode. - Xiaoyue Zhao; Minghao Shao; Houfang Liu; Ruiting Zhao; Xichen Sun; Xiao Liu; Xiaoming Wu 001; Yi Yang 037; Tianling Ren (ASICON, 2021)

Learning to Prune: General and Efficient Approximate Nearest Neighbor Search with Direction Navigating Graph. - Gang Wang; Xingxing Ke; Jian Hu; Qianling Li; Minghao Shao; Jianfeng Fan (DSDE, 2022)

SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models. - Shenghua Wan; Yucen Wang; Minghao Shao; Ruying Chen; De-Chuan Zhan (ICML, 2023)

Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes. - Jinrui Gou; Yifan Liu; Minghao Shao; Torsten Suel (IEEE Big Data, 2024)

Energy Consumption Prediction Method for Refrigeration Systems Based on Adversarial Networks and Transformer Networks. - Hu Zhang; Huifeng Liu; Youli Zhang; Ying Guo; Hongjun Dai; Minghao Shao; Hongyu Xu (KSEM (5), 2024)

Leveraging Separated World Model for Exploration in Visually Distracted Environments. - Kaichen Huang; Shenghua Wan; Minghao Shao; Hai-Hang Sun; Le Gan; Shuai Feng; De-Chuan Zhan (NeurIPS, 2024)

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. - Minghao Shao; Sofija Jancheska; Meet Udeshi; Brendan Dolan-Gavitt; Haoran Xi; Kimberly Milner; Boyuan Chen 004; Max Yin; Siddharth Garg; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; et al. (NeurIPS, 2024)

Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges. - Minghao Shao; Abdul Basit; Ramesh Karri; Muhammad Shafique 001 (IEEE Access, 2024)

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges. - Minghao Shao; Boyuan Chen 004; Sofija Jancheska; Brendan Dolan-Gavitt; Siddharth Garg; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2024)

DIDA: Denoised Imitation Learning based on Domain Adaptation. - Kaichen Huang; Hai-Hang Sun; Shenghua Wan; Minghao Shao; Shuai Feng; Le Gan; De-Chuan Zhan (CoRR, 2024)

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring. - Kaichen Huang; Minghao Shao; Shenghua Wan; Hai-Hang Sun; Shuai Feng; Le Gan; De-Chuan Zhan (CoRR, 2024)

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. - Minghao Shao; Sofija Jancheska; Meet Udeshi; Brendan Dolan-Gavitt; Haoran Xi; Kimberly Milner; Boyuan Chen 004; Max Yin; Siddharth Garg; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; et al. (CoRR, 2024)

EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges. - Talor Abramovich; Meet Udeshi; Minghao Shao; Kilian Lieret; Haoran Xi; Kimberly Milner; Sofija Jancheska; John Yang 002; Carlos E. Jimenez; Farshad Khorrami; Prashanth Krishnamurthy; Brendan Dolan-Gavitt; et al. (CoRR, 2024)

Fast and Effective Early Termination for Simple Ranking Functions. - Jinrui Gou; Antonio Mallia; Yifan Liu; Minghao Shao; Torsten Suel (SIGIR, 2025)

D-CIPHER: Dynamic Collaborative Intelligent Agents with Planning and Heterogeneous Execution for Enhanced Reasoning in Offensive Security. - Meet Udeshi; Minghao Shao; Haoran Xi; Nanda Rani; Kimberly Milner; Venkata Sai Charan Putrevu; Brendan Dolan-Gavitt; Sandeep Kumar Shukla; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2025)

VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding. - Zeng Wang; Minghao Shao; Mohammed Nabeel 001; Prithwish Basu Roy; Likhitha Mankali; Jitendra Bhandari; Ramesh Karri; Ozgur Sinanoglu; Muhammed Shafique 001; Johann Knechtel (CoRR, 2025)

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination. - Zeng Wang; Minghao Shao; Jitendra Bhandari; Likhitha Mankali; Ramesh Karri; Ozgur Sinanoglu; Muhammad Shafique 001; Johann Knechtel (CoRR, 2025)

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution. - Minghao Shao; Haoran Xi; Nanda Rani; Meet Udeshi; Venkata Sai Charan Putrevu; Kimberly Milner; Brendan Dolan-Gavitt; Sandeep Kumar Shukla; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2025)

SALAD: Systematic Assessment of Machine Unlearing on LLM-Aided Hardware Design. - Zeng Wang; Minghao Shao; Rupesh Raj Karn; Likhitha Mankali; Jitendra Bhandari; Ramesh Karri; Ozgur Sinanoglu; Muhammad Shafique 001; Johann Knechtel (CoRR, 2025)

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges. - Abdul Basit; Minghao Shao; Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

MetaCipher: A General and Extensible Reinforcement Learning Framework for Obfuscation-Based Jailbreak Attacks on Black-Box LLMs. - Boyuan Chen 004; Minghao Shao; Abdul Basit; Siddharth Garg; Muhammad Shafique 001 (CoRR, 2025)

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. - Abdul Basit; Minghao Shao; Muhammad Haider Asif; Nouhaila Innan; Muhammad Kashif; Alberto Marchisio; Muhammad Shafique 001 (CoRR, 2025)

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark. - Minghao Shao; Nanda Rani; Kimberly Milner; Haoran Xi; Meet Udeshi; Saksham Aggarwal; Venkata Sai Charan Putrevu; Sandeep Kumar Shukla; Prashanth Krishnamurthy; Farshad Khorrami; Ramesh Karri; Muhammad Shafique 001 (CoRR, 2025)