Menghui Zhu

According to our database, Menghui Zhu authored at least 21 papers between 2019 and 2025.

Collaborative distances:

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

2025

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models.

Jianghao Lin, Xinyuan Wang, Xinyi Dai, Menghui Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, July, 2025

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey.

Jiachen Zhu, Menghui Zhu, Renting Rui, Rong Shan, Congmin Zheng, Bo Chen, Yunjia Xi, Jianghao Lin, Weiwen Liu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, June, 2025

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation.

Yunjia Xi, Jianghao Lin, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, May, 2025

LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models.

Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo

CoRR, February, 2025

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding.

Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu

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

An Efficient Approximation Framework for LLM-Enhanced Recommendation.

Huacan Chai, Menghui Zhu, Jianghao Lin, Yunjia Xi, Weinan Zhang, Yong Yu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

An Automatic Graph Construction Framework based on Large Language Models for Recommendation.

Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems.

Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang

CoRR, 2024

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning.

Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.

Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Retrieval-Oriented Knowledge for Click-Through Rate Prediction.

Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.

Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.

Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang

CoRR, 2023

Integrated Ranking for News Feed with Reinforcement Learning.

Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.

Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents.

Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao

CoRR, 2022

Goal-Conditioned Reinforcement Learning: Problems and Solutions.

Minghuan Liu, Menghui Zhu, Weinan Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search.

Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang

IEEE Trans. Games, 2021

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks.

Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019

Generative adversarial exploration for reinforcement learning.

Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019