Minghao Guo

I am a final-year Ph.D. candidate in Computer Science at Rutgers University, advised by Prof. Dimitris Metaxas. My research centers on agentic AI, multimodal memory, and retrieval-augmented reasoning systems. Previously, I was also advised at Rutgers by Prof. Yongfeng Zhang, and by Prof. Eddy Z. Zhang on quantum computing.

I am actively open to research collaborations and full-time opportunities — please feel free to reach out.

News

• 2026-Summer AI Research Intern at Zoom.
• 2026-05 Released MemEye preprint on arXiv.
• 2026-03 Individual Turing Test accepted by SIGIR 2026 (short paper).
• 2026-03 TwinVoice accepted by ACL 2026.
• 2026-01 DeepSieve accepted by EACL 2026.

Selected Publications

^* equal contribution

LLM Agents & Reasoning

• MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory.
  Minghao Guo^*, Qingyue Jiao^*, Zeru Shi^*, Yihao Quan, Boxuan Zhang, Danrui Li, Liwei Che, Wujiang Xu, Shilong Liu, Zirui Liu, Mubbasir Kapadia, Vladimir Pavlovic, Jiang Liu, Mengdi Wang, Yiyu Shi, Dimitris N. Metaxas, Ruixiang Tang.
  Preprint, 2026. [arXiv] [project]
• Individual Turing Test: A Case Study of LLM-based Simulation Using Longitudinal Personal Data.
  Minghao Guo, Ziyi Ye, Wujiang Xu, Xi Zhu, Wenyue Hua, Dimitris N. Metaxas.
  SIGIR 2026 (short paper). [arXiv]
• TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation.
  Bangde Du^*, Minghao Guo^*, Songming He, Ziyi Ye, Xi Zhu, Weihang Su, Shuqi Zhu, Yujia Zhou, Yongfeng Zhang, Qingyao Ai, Yiqun Liu.
  ACL 2026. [arXiv] [project]
• DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.
  Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng.
  EACL 2026. [arXiv] [project]
• ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network.
  Minghao Guo, Xi Zhu, Haochen Xue, Chong Zhang, Shuhang Lin, Jingyuan Huang, Ziyi Ye, Yongfeng Zhang.
  HCRS Workshop @ WWW 2026.
• OmniRouter: Budget and Performance Controllable Multi-LLM Routing.
  Kai Mei, Wujiang Xu, Minghao Guo, Shuhang Lin, Yongfeng Zhang.
  SIGKDD Explorations 2025. [arXiv]
• AEL: Agent Evolving Learning for Open-Ended Environments.
  Wujiang Xu, Jiaojiao Han, Minghao Guo, Kai Mei, Xi Zhu, Han Zhang, Dimitris N. Metaxas.
  Preprint, 2026. [arXiv]
• LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models.
  Xi Zhu, Haochen Xue, Ziwei Zhao, Wujiang Xu, Jingyuan Huang, Minghao Guo, Qifan Wang, Kaixiong Zhou, Imran Razzak, Yongfeng Zhang.
  Preprint, 2025. [arXiv]

Quantum Computing

• Genesis: A Compiler for Hamiltonian Simulation on Hybrid CV-DV Quantum Computers.
  Zihan Chen^*, Jiakang Li^*, Minghao Guo^*, Henry Chen, Zirui Li, Joel Bierman, Yipeng Huang, Huiyang Zhou, Yuan Liu, Eddy Z. Zhang.
  ISCA 2025.
• Optimizing Quantum Fourier Transformation (QFT) Kernels for Modern NISQ and FT Architectures.
  Yuwei Jin, Xiangyu Gao, Minghao Guo, Henry Chen, Fei Hua, Chi Zhang, Eddy Z. Zhang.
  SC 2024.

Academic Service

Conference Reviewer: EMNLP 2026, CIKM 2026.

Workshop Reviewer: SeT-LLM @ KDD 2026, AgentSkills @ CAIS 2026.

Links

• Google Scholar
• LinkedIn
• GitHub