Mingzhe Han

According to our database, Mingzhe Han authored at least 23 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks.

Jian Xie, Tianhe Lin, Zilu Wang, Yuting Ning, Yuekun Yao, Tianci Xue, Zhehao Zhang, Zhongyang Li, Kai Zhang, Yufan Wu, Shijie Chen, Boyu Gou, Mingzhe Han, Yifei Wang, Vint Lee, Xinpeng Wei, Xiangjun Wang, Yu Su, Huan Sun

CoRR, May, 2026

From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents.

Jiahao Liu, Mingzhe Han, Guanming Liu, Weihang Wang, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu

CoRR, April, 2026

Drift-Aware Continual Tokenization for Generative Recommendation.

Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu

CoRR, March, 2026

Agentic AI for Scalable and Robust Optical Systems Control.

Zehao Wang, Mingzhe Han, Wei Cheng, Yue-Kai Huang, Philip Ji, Denton Wu, Mahdi Safari, Flemming Holtorf, Kenaish Al Qubaisi, Norbert M. Linke, Danyang Zhuo, Yiran Chen, Ting Wang, Dirk Englund, Tingjun Chen

CoRR, February, 2026

Feature-Indexed Federated Recommendation with Residual-Quantized Codebooks.

Mingzhe Han, Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu

CoRR, January, 2026

LLM Agent-based Shilling Attack on Recommender Systems.

Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Coexistence Field Trial of 1092nm Quantum Link, Coherent 400GbE, and 5G Services.

Zehao Wang, Denton Wu, Mingzhe Han, Mika A. Zalewski, Ana Luiza Ferrari, Yuanheng Xie, Norbert M. Linke, Tingjun Chen

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2026

2025

ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code.

Jian Xie, Zhendong Chu, Aoxiao Zhong, Kaiyi Zhang, Mingzhe Han, Xing Fan, Jialie Shen, Qingsong Wen

CoRR, October, 2025

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models.

Jiongran Wu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Li Shang, Tun Lu, Ning Gu

CoRR, May, 2025

LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems.

Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu

CoRR, May, 2025

Enhancing Cross-Domain Recommendations with Memory-Optimized LLM-Based User Agents.

Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

CoRR, February, 2025

AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations.

Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation.

Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Rethinking Contrastive Learning for Electrocardiogram Anomaly Detection: A Time-Frequency Augmentations Perspective.

Huihui Chang, Haoyi Fan, Han Han, Mingzhe Han, Bing Zhou, Zongmin Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

PML-MPI: A Pre-Trained ML Framework for Efficient Collective Algorithm Selection in MPI.

Mingzhe Han, Goutham Kalikrishna Reddy Kuncham, Benjamin Michalowicz, Rahul Vaidya, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

SAI: AI-Enabled Speech Assistant Interface for Science Gateways in HPC.

Pouya Kousha, Arpan Jain, Ayyappa Kolli, Matthew Lieber, Mingzhe Han, Nicholas Contini, Hari Subramoni, Dhabaleswar K. Panda

Proceedings of the High Performance Computing - 38th International Conference, 2023

Developer's Responsibility or Database's Responsibility? Rethinking Concurrency Control in Databases.

Chaoyi Cheng, Mingzhe Han, Nuo Xu, Spyros Blanas, Michael D. Bond, Yang Wang

Proceedings of the 13th Conference on Innovative Data Systems Research, 2023

2022

Author Correction: Dynamic forecasting of severe acute graft-versus- host disease after transplantation.

Xueou Liu, Yigeng Cao, Ye Guo, Xiaowen Gong, Yahui Feng, Yao Wang, Mingyang Wang, Mengxuan Cui, Wenwen Guo, Luyang Zhang, Ningning Zhao, Xiaoqiang Song, Xuetong Zheng, Xia Chen, Qiujin Shen, Song Zhang, Zhen Song, Linfeng Li, Sizhou Feng, Mingzhe Han, Xiaofan Zhu, Erlie Jiang, Junren Chen

Nat. Comput. Sci., 2022

Dynamic forecasting of severe acute graft-versus-host disease after transplantation.

Xueou Liu, Yigeng Cao, Ye Guo, Xiaowen Gong, Yahui Feng, Yao Wang, Mingyang Wang, Mengxuan Cui, Wenwen Guo, Luyang Zhang, Ningning Zhao, Xiaoqiang Song, Xuetong Zheng, Xia Chen, Qiujin Shen, Song Zhang, Zhen Song, Linfeng Li, Sizhou Feng, Mingzhe Han, Xiaofan Zhu, Erlie Jiang, Junren Chen

Nat. Comput. Sci., 2022

A Wearable Low-Power Collaborative Sensing System for High-Quality SSVEP-BCI Signal Acquisition.

Rui Na, Dezhi Zheng, Ying Sun, Mingzhe Han, Shuai Wang, Shuailei Zhang, Qianxin Hui, Xinlei Chen, Jun Zhang, Chun Hu

IEEE Internet Things J., 2022

Reprint of: An embedded lightweight SSVEP-BCI electric wheelchair with hybrid stimulator.

Rui Na, Chun Hu, Ying Sun, Shuai Wang, Shuailei Zhang, Mingzhe Han, Wenhan Yin, Jun Zhang, Xinlei Chen, Dezhi Zheng

Digit. Signal Process., 2022

2021

An embedded lightweight SSVEP-BCI electric wheelchair with hybrid stimulator.

Rui Na, Chun Hu, Ying Sun, Shuai Wang, Shuailei Zhang, Mingzhe Han, Wenhan Yin, Jun Zhang, Xinlei Chen, Dezhi Zheng

Digit. Signal Process., 2021

2020

Adversarial Learning-based Bias Mitigation for Fatigue Driving Detection in Fair-Intelligent IoV.

Mingzhe Han, Jun Wu, Ali Kashif Bashir, Wu Yang, Muhammad Imran, Nidal Nasser

Proceedings of the IEEE Global Communications Conference, 2020