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 by Prof. Yongfeng Zhang and Prof. Eddy Z. Zhang at Rutgers.

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.

Publications

^* equal contribution   ·   ^† corresponding author

• 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]
• 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.

Links

• Google Scholar
• LinkedIn
• GitHub