Menghui Zhu - RankMe

30 papers A* 4A 3Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An Automatic Graph Construction Framework based on Large Language Models for Recommendation. KDD (2) Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2025	—	`conf`	An Efficient Approximation Framework for LLM-Enhanced Recommendation. ICIC (8) Huacan Chai, Menghui Zhu, Jianghao Lin, Yunjia Xi, Weinan Zhang, Yong Yu
2025	A*	`conf`	Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. SIGIR Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu
2025	J	`jnl`	Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey. CoRR Jiachen Zhu, Menghui Zhu, Renting Rui, Rong Shan, Congmin Zheng, Bo Chen, Yunjia Xi, Jianghao Lin, Weiwen Liu, Ruiming Tang, Yong Yu, Weinan Zhang
2025	J	`jnl`	InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation. CoRR 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
2025	—	`conf`	LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. KDD (2) Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025	J	`jnl`	LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. CoRR Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025	J	`jnl`	MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models. CoRR Jianghao Lin, Xinyuan Wang, Xinyi Dai, Menghui Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2024	J	`jnl`	A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. CoRR Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
2024	A	`conf`	AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. RecSys Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024	J	`jnl`	AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. CoRR Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024	J	`jnl`	An Automatic Graph Construction Framework based on Large Language Models for Recommendation. CoRR Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2024	J	`jnl`	Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. CoRR Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
2024	—	`conf`	HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. WWW (Companion Volume) Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
2024	A	`conf`	HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. CIKM Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024	A	`conf`	Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CIKM Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang
2024	J	`jnl`	Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CoRR Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang
2023	—	`conf`	Integrated Ranking for News Feed with Reinforcement Learning. WWW (Companion Volume) Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang
2023	J	`jnl`	Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. CoRR Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2023	A*	`conf`	Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2023	J	`jnl`	Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2022	J	`jnl`	Generative Adversarial Exploration for Reinforcement Learning. CoRR Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun
2022	A*	`conf`	Goal-Conditioned Reinforcement Learning: Problems and Solutions. IJCAI Minghuan Liu, Menghui Zhu, Weinan Zhang
2022	J	`jnl`	Goal-Conditioned Reinforcement Learning: Problems and Solutions. CoRR Minghuan Liu, Menghui Zhu, Weinan Zhang
2022	J	`jnl`	Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. CoRR Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao
2021	A*	`conf`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	J	`jnl`	MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
2021	J	`jnl`	Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Trans. Games Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
2020	J	`jnl`	Which Heroes to Pick? Learning to Draft in MOBA Games with Neural Networks and Tree Search. CoRR Sheng Chen, Menghui Zhu, Deheng Ye, Weinan Zhang, Qiang Fu, Wei Yang
2019	—	`conf`	Generative adversarial exploration for reinforcement learning. DAI Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun