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
Released "Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory" preprint on arXiv.
Successfully defended my Ph.D. dissertation, "Seeing, Remembering, and Evolving: Memory-Centric Agent Systems for Long-Horizon Intelligence".
Individual Turing Test accepted by SIGIR 2026 (short paper).
TwinVoice accepted by ACL 2026.
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]
Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory.
Minghao Guo*, Qingyue Jiao*, Xiujin Liu*,
Jianhong Pang*, Ruimeng Yang*, Naihao Xu, Liwei Che, Haochen Xue,
Ziqi Wang, Xinying Cai, Jiaxuan Luo, Jiaxin Deng, Xuesong Ye, Jintao Qu, Wenyao Gao,
Jingwen Gu, Chenyang Zhao, Shichun Liu, Guibin Zhang, Zefang Liu, Siyin Wang, Wujiang Xu,
Danrui Li, Zeru Shi, Woongyeong Yeo, Shuang Liu, Wei-Chieh Huang, Weizhi Zhang,
Tianyu Yang, Kangsan Kim, Yebowen Hu, Bowen Wen, Bowen Jiang, Haohao Su, Ming Yin,
Sheldon Yu, Mian Zhang, Yuyan Chen, Hanrong Zhang, Kai Mei, Zihao Zhang, Mingyu Jin,
Xi Zhu, Hengyi Wang, Tianxin Wei, Linyong Nan, Zhenwen Liang, Zhendong Chu, Ziqi Huang,
Yongye Su, Sixun Dong, Shujian Liu, Kaiqu Liang, Jiaojiao Han, Zhaoye Fei, Kun Wang,
Shihan Dou, Zhichun Guo, Xingjian Diao, Zeqi Gu, Heng Wang, Tao Feng, Cheng Qian,
Hamid Palangi, Silei Xu, Xi Yun, Yi Zhu, Shilong Liu, Qingsong Wen, Sung Ju Hwang,
Zuxuan Wu, Yu-Gang Jiang, Yiyu Shi, Dimitris N. Metaxas, Jiaxuan You, Julian McAuley,
Mengdi Wang, Jiawei Han, Philip S. Yu, Ziyi Ye.
Preprint, 2026.
[arXiv]
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]
AEL: Agent Evolving Learning for Open-Ended Environments.
Wujiang Xu, Jiaojiao Han, Minghao Guo, Kai Mei,
Xi Zhu, Han Zhang, Dimitris N. Metaxas.
EMNLP 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.
EMNLP 2026.
[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.