百晓学者学者目录

钟鸣

副教授、教授、硕士生导师、硕导，武汉大学

精选作品

期刊论文

2026

Multi-domain sequential recommendation via multi-sequence and multi-task learning

Liwei Pan, Weike Pan, Zhong Ming

Information Processing & Management，Vol. 63, No. 2

DOI

2026

Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation

Jing Xiao, Dongqin Wu, Liwei Pan, Ya-Wen Luo, Wei-Ke Pan, Ming Zhong

arXiv.org

DOI

2026

A Two-Stage Ensemble Framework for Repurchase Prediction Integrating Sequence Modeling and Multi-Granularity Features

Jun Zhang, Lietai Hong, Zhongyu Yao, Xiu-Qiang He, Xing Tang, Ming Zhong, Ling-Jie Li

2026 6th International Symposium on Intelligent Robotics and Systems (ISoIRS)

DOI

2026

FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation

Zihong Xian, En-Yue Yang, Wei-Ke Pan, Ming Zhong

ACM Trans. Inf. Syst.

DOI

2026

Towards Efficient Federated Recommendation with Discrete Graph Convolutional Network

Yang Li, Wei-Ke Pan, Qiang Yang, Ming Zhong

Artificial Intelligence

DOI

2026

AMS: Adaptive Modality Scheduling for Industrial Multi-Scenario CTR Prediction

Kai-Liang Hao, Chao-Hua Yang, Wei Zeng, Jia-Nan Su, Kai-Xin Shen, Jing-Tong Wu, Du-Gang Liu, Xing Tang, Jing-Yang Bin, Xiu-Qiang He, Ming Zhong

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

DOI

2026

Automated Selection-based Mixture-of-Experts with Dual-stage Input–Target Pattern Learning for Sequential Recommendation

Xiao-Lin Lin, Wei-Ke Pan, Ming Zhong

Proceedings of the 20th ACM Conference on Recommender Systems

DOI

2026

Multi-Task Multi-Behavior Sequential Recommendation

Wei-Wei Du, Ziran Deng, Wei-Ke Pan, Ming Zhong

The Web Conference

DOI

2026

Behavior-aware Attribute-infused Sequential Encoders for Next-Item Recommendation

Xiaoqi Chen, Yawen Luo, Zitao Xu, Wei-Ke Pan, Ming Zhong

ACM Trans. Inf. Syst.

DOI

2026

Heterogeneous Graph Transfer Learning for Diversity-enhanced Cross-Domain Sequential Recommendation

Gengyu Zhan, Zitao Xu, Xiaoqi Chen, Xueqi Li, Wei-Ke Pan, Ming Zhong

ACM Transactions on Recommender Systems

DOI

2026

FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction

Jun Zhang, Dugang Liu, Xing Tang, Xiu-Qiang He, Ming Zhong

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2026

Towards Multi-Behavior Multi-Task Recommendation via Behavior-Informed Graph Embedding Learning

Wen-Hao Lai, Wei-Ke Pan, Ming Zhong

ACM Trans. Inf. Syst.

DOI

2026

GTP: Mitigating Popularity Bias in PLM-based Sequential Recommendation via Group-Aware Token Pruning

Rui-Lin Yuan, Du-Gang Liu, Hao Chen, Ming Zhong

Proceedings of the 20th ACM Conference on Recommender Systems

DOI

2026

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment

Guorui Li, Dugang Liu, Lei Li, Xing Tang, Ming Zhong

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Recursive Short-to-Long Generalization for Multi-hop Reasoning

Mayi Xu, Ke Sun, Jianhao Chen, Qiankun Pi, Guixin Su, Yunfeng Ning, Yongqi Li, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2026

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering

Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data

Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu, Tieyun Qian

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Historical betweenness centrality and its computation

Zhenyu Mao, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu

World Wide Web

DOI

2026

SynTSE: A Syntax-Aware Generative Method for Topic-Stance Extraction

Jintao Wen, Yongqi Li, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian

Lecture notes in computer science

DOI

2026

Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment

Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Y Z Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian

Lecture notes in computer science

DOI

2025

Modeling and analysis of cascading failures in multilayer higher-order networks

Cheng Qian, Dandan Zhao, Ming Zhong, Hao Peng, Wei Wang

Reliability Engineering & System Safety，Vol. 253

DOI

2025

Cross-User Federated Recommendation Unlearning

Yang Li, En-Yue Yang, Wei-Ke Pan, Qiang Yang, Ming Zhong

ACM Transactions on Intelligent Systems and Technology

DOI

2025

Ownership Verification for Federated Recommendation

En-Yue Yang, Wei-Ke Pan, Li-Xin Fan, Han-Lin Gu, Zhitao Li, Qiang Yang, Ming Zhong

ACM Trans. Inf. Syst.

DOI

2025

VCGAE++: variational collective graph autoEncoder for multi-behavior recommendation

Ying-Xuan Zhuang, Yang Liu, Wei-Ke Pan, Ming Zhong

Knowledge and Information Systems

DOI

2025

Target Item-oriented Conditional Diffusion Differential Transformer for Next-Item Prediction

Xiaoqi Chen, Zitao Xu, Wei-Ke Pan, Ming Zhong

International Conference on Information and Knowledge Management

DOI

2025

A survey on cross-user federated recommendation

En-Yue Yang, Yudi Xiong, Wei Yuan, Wei-Ke Pan, Qiang Yang, Ming Zhong

Science China Information Sciences

DOI

2025

Towards Interest Drift-driven User Representation Learning in Sequential Recommendation

Xiao-Lin Lin, Wei-Ke Pan, Ming Zhong

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2025

A survey on sequential recommendation

Liwei Pan, Wei-Ke Pan, Meiyan Wei, Hong-Zhi Yin, Ming Zhong

Frontiers of Computer Science

DOI

2025

MBASR: A Generic Framework for Multi-Behavior Data Augmentation in Sequential Recommendation

Qiang Xiao, Jing Xiao, Wei-Ke Pan, Ming Zhong

Trans. Recomm. Syst.

DOI

2025

Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation

Zitao Xu, Xiaoqi Chen, Wei-Ke Pan, Ming Zhong

The Web Conference

DOI

2025

TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap

Haitao Zhang, Ran Pang, Yuanyuan Zhu, Hao Zhang, Congli Gao, Ming Zhong, Jiawei Jiang, Tieyun Qian, Jeffrey Xu Yu

Proceedings of the ACM on Management of Data

DOI

2025

NPBD: Neighbor Pattern-Based Backdoor Detection for Node Classifiers

Mengfan Li, Ming Zhong

DOI

2025

TDT: Tensor Based Directed Truss Decomposition

Guojing Li, Yuanyuan Zhu, Junchao Ma, Ming Zhong, Tieyun Qian, Jeffrey Xu Yu

Proceedings - International Conference on Data Engineering

DOI

2025

Efficient Frequency-Aware k-Core Query on Temporal Graphs

Zhongfan Du, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu

Proceedings - International Conference on Data Engineering

DOI

2025

TGraph: A Tensor-centric Graph Processing Framework

Yongliang Zhang, Yuanyuan Zhu, Hao Zhang, Congli Gao, Yuyang Wang, Guojing Li, Tianyang Xu, Ming Zhong, Jiawei Jiang, Tieyun Qian, Chenyi Zhang, Jeffrey Xu Yu

Proceedings of the ACM on Management of Data

DOI

2025

On More Efficiently and Versatilely Querying Historical k -Cores

Zhi Wang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu

Proceedings of the VLDB Endowment

DOI

2024

Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph

Zhitao Li, Zhaohao Lin, Feng Liang, Wei-Ke Pan, Qiang Yang, Ming Zhong

ACM Transactions on Intelligent Systems and Technology

DOI

2024

Benchmarking for Deep Uplift Modeling in Online Marketing

Du-Gang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiu-Qiang He, Ming Zhong

arXiv.org

DOI

2024

A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation

Zitao Xu, Shu Chen, Wei-Ke Pan, Ming Zhong

Trans. Recomm. Syst.

DOI

2024

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation

Xiao-Lin Lin, Jinwei Luo, Jun-Wei Pan, Wei-Ke Pan, Ming Zhong, Xun Liu, Shu-Dong Huang, Jie Jiang

Web Search and Data Mining

DOI

2024

Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering

En-Yue Yang, Wei-Ke Pan, Qiang Yang, Ming Zhong

ACM Trans. Inf. Syst.

DOI

2024

A Practice-Friendly Two-Stage LLM-Enhanced Paradigm in Sequential Recommendation

Du-Gang Liu, Shen-Xian Xian, Xiao-Lin Lin, Xiao-Lian Zhang, Hong Zhu, Yuan Fang, Zhen Chen, Ming Zhong

arXiv.org

DOI

2024

Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation

Guowei Wu, Wei-Ke Pan, Qiang Yang, Ming Zhong

arXiv.org

DOI

2024

Sample enrichment via temporary operations on subsequences for sequential recommendation

Shu Chen, Jinwei Luo, Wei-Ke Pan, Jiangxing Yu, Xin Huang, Hong-Cheng Fu, Ming Zhong

Knowledge and Information Systems

DOI

2024

A Survey on Cross-Domain Sequential Recommendation

Shu Chen, Zitao Xu, Wei-Ke Pan, Qiang Yang, Ming Zhong

International Joint Conference on Artificial Intelligence

DOI

2024

Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation

Weixin Li, Xiao-Lin Lin, Wei-Ke Pan, Ming Zhong

ACM Conference on Recommender Systems

DOI

2024

BMLP: behavior-aware MLP for heterogeneous sequential recommendation

Weixin Li, Yuhao Wu, Yang Liu, Wei-Ke Pan, Ming Zhong

Frontiers of Computer Science

DOI

2024

Transfer learning in cross-domain sequential recommendation

Zitao Xu, Wei-Ke Pan, Ming Zhong

Information Sciences

DOI

2024

Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation

Ming Chen, Wei-Ke Pan, Ming Zhong

Knowledge Discovery and Data Mining

DOI

2024

A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation

Jing Xiao, Wei-Ke Pan, Ming Zhong

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2024

DCOAT: Dynamic Core-attachment based Protein Complex Detection

Yaoran Chen, Difu Feng, Yuanyuan Zhu, Guoliang Li, Ming Zhong, Tieyun Qian, Juan Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Evolution Forest Index: Towards Optimal Temporal k -Core Component Search via Time-Topology Isomorphic Computation

Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu

Proceedings of the VLDB Endowment

DOI

2024

Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs

Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu

Proceedings - International Conference on Data Engineering

DOI

2024

PSA-GNN: An augmented GNN framework with priori subgraph knowledge

Guotong Xue, Ming Zhong, Tieyun Qian, Jianxin Li

Neural Networks

DOI

2024

A Unified and Scalable Algorithm Framework of User-Defined Temporal (k,X)-Core Query

Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

低资源方面级情感分析研究综述

陈壮，钱铁云，李万理，张婷，周燊，钟鸣，祝园园，刘梦赤

《计算机学报》

2023

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation

Du-Gang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiu-Qiang He, Wei-Ke Pan, Ming Zhong

International Conference on Database Systems for Advanced Applications

DOI

2023

Transfer learning for collaborative recommendation with biased and unbiased data

Zi-Han Lin, Du-Gang Liu, Wei-Ke Pan, Qiang Yang, Ming Zhong

Artificial Intelligence

DOI

2023

Cascaded Cross Attention for Review-based Sequential Recommendation

Bin Huang, Jinwei Luo, Wei-Wei Du, Wei-Ke Pan, Ming Zhong

Industrial Conference on Data Mining

DOI

2023

Privacy-Preserving Cross-Domain Sequential Recommendation

Zhaohao Lin, Wei-Ke Pan, Ming Zhong

Industrial Conference on Data Mining

DOI

2023

A survey on multi-behavior sequential recommendation

Xiaoqi Chen, Zhitao Li, Wei-Ke Pan, Qiang Yang, Ming Zhong

Science China Information Sciences

DOI

2023

Variational Collective Graph AutoEncoder for Multi-behavior Recommendation

Yang Liu, Qianzhen Rao, Wei-Ke Pan, Ming Zhong

Industrial Conference on Data Mining

DOI

2023

A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation

Zitao Xu, Wei-Ke Pan, Ming Zhong

ACM Conference on Recommender Systems

DOI

2023

BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation

Qianzhen Rao, Yang Liu, Wei-Ke Pan, Ming Zhong

ACM Conference on Recommender Systems

DOI

2023

Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing

Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian

International Joint Conference on Artificial Intelligence

DOI

2023

Pre-Training Across Different Cities for Next POI Recommendation

Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu

ACM Transactions on the Web

DOI

2023

Towards more effective encoders in pre-training for sequential recommendation

Ke Sun, Tieyun Qian, Ming Zhong, Xuhui Li

World Wide Web

DOI

2023

Scalable Time-Range k -Core Query on Temporal Graphs

Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu

Proceedings of the VLDB Endowment

DOI

2022

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation

Zijie Zeng, Jing Lin, Wei-Ke Pan, Ming Zhong, Zhongqi Lu

IEEE International Joint Conference on Neural Network

DOI

2022

SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback

Zheng Yuan, Du-Gang Liu, Wei-Ke Pan, Ming Zhong

IEEE International Joint Conference on Neural Network

DOI

2022

Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization

Pengqing Hu, En-Yue Yang, Wei-Ke Pan, Xiaogang Peng, Ming Zhong

Knowledge-Based Systems

DOI

2022

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets

Yongxin Ni, Sha Ouyang, Lin Li, Wei-Ke Pan, Ming Zhong

CCF Transactions on Pervasive Computing and Interaction

DOI

2022

ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation

Jixiong Liu, Du-Gang Liu, Wei-Ke Pan, Ming Zhong

International Conference on Data Science and Advanced Analytics

DOI

2022

VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering

Wanqi Ma, Xiancong Chen, Wei-Ke Pan, Ming Zhong

Web Search and Data Mining

DOI

2022

On Time-optimal (k, p)-core Community Search in Dynamic Graphs

Zhao Lu, Yuanyuan Zhu, Ming Zhong, Jeffrey Xu Yu

Proceedings - International Conference on Data Engineering

DOI

2022

Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction

Wanli Li, Tieyun Qian, Ming Zhong, Xu Chen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Reliable Keyword Query Interpretation on Summary Graphs

Ming Zhong, Yingyi Zheng, Guotong Xue, Mengchi Liu

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing

Jia Chen, Ming Zhong, Jianxin Li, Dian-Hui Wang, T. Qian, Hang Tu

IEEE Transactions on Cybernetics

DOI

2021

Dynamic Network Embedding Survey

Guotong Xue, Ming Zhong, Jianxin Li, Jia Chen, C. Zhai, Ruochen Kong

Neurocomputing

DOI

2021

Transfer Learning in Collaborative Recommendation for Bias Reduction

Zi-Han Lin, Du-Gang Liu, Wei-Ke Pan, Ming Zhong

ACM Conference on Recommender Systems

DOI

2021

FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing

Zhaohao Lin, Wei-Ke Pan, Ming Zhong

ACM Conference on Recommender Systems

DOI

2021

FedRec++: Lossless Federated Recommendation with Explicit Feedback

Feng Liang, Wei-Ke Pan, Ming Zhong

AAAI Conference on Artificial Intelligence

DOI

2021

Factored heterogeneous similarity model for recommendation with implicit feedback

Yongxin Ni, Xiancong Chen, Wei-Ke Pan, Zixiang Chen, Ming Zhong

Neurocomputing

DOI

2021

Sequence-aware similarity learning for next-item recommendation

Zhuoxin Zhan, Liulan Zhong, Jing Lin, Wei-Ke Pan, Ming Zhong

Journal of Supercomputing

DOI

2021

COMNA: Core-attachment based protein complex detection via multiple network alignment

Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Juan Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2021

Context-aware seq2seq translation model for sequential recommendation

Ke Sun, Tieyun Qian, Xu Chen, Ming Zhong

Information Sciences

DOI

2021

Business location planning based on a novel geo-social influence diffusion model

Qian Zeng, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Jianxin Li

Information Sciences

DOI

2021

Efficient Sample Location Selection for Query Zone in Geo‐Social Networks

Kejian Tang, Shaohui Zhan, Tao Zhan, Hui Zhu, Qian Zeng, Ming Zhong, Xiaoyu Zhu, Yuanyuan Zhu, Jianxin Li, Tieyun Qian

Complexity

DOI

2021

FANE: A Fusion-Based Attributed Network Embedding Framework

Guanghua Li, Qiyan Li, Jingqiao Liu, Yuanyuan Zhu, Ming Zhong

Lecture notes in computer science

DOI

2020

CoFi-points

Lin Li, Wei-Ke Pan, Ming Zhong

ACM Transactions on Intelligent Systems and Technology

DOI

2020

A Survey on Heterogeneous One-class Collaborative Filtering

Xiancong Chen, Lin Li, Wei-Ke Pan, Ming Zhong

ACM Trans. Inf. Syst.

DOI

2020

FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation

Jing Lin, Wei-Ke Pan, Ming Zhong

ACM Conference on Recommender Systems

DOI

2020

GPPIAL: A New Global PPI Network Aligner Based on Orthologs

Yaoran Chen, Yuanyuan Zhu, Ming Zhong, Rong Peng, Juan Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2020

Diversified keyword search based web service composition

Huanyu Cheng, Ming Zhong, Jian Wang

Journal of Systems and Software

DOI

2020

Business Location Selection Based on Geo-Social Networks

Qian Zeng, Ming Zhong, Yuanyuan Zhu, Jianxin Li

Lecture notes in computer science

DOI

2020

Correction to: Keyword Search Based Mashup Construction with Guaranteed Diversity

Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian

Lecture notes in computer science

DOI

2020

Correction to: Coverage-Oriented Diversification of Keyword Search Results on Graphs

Ming Zhong, Ying Wang, Yuanyuan Zhu

Lecture notes in computer science

DOI

2020

STIM: Scalable Time-Sensitive Influence Maximization in Large Social Networks

Yuanyuan Zhu, Kailin Ding, Ming Zhong, Lijia Wei

Lecture notes in computer science

DOI

2019

Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity

Zijie Zeng, Jing Lin, Lin Li, Wei-Ke Pan, Ming Zhong

ACM Trans. Inf. Syst.

DOI

2019

Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements

Chaoqun Yang, Yuanyuan Zhu, Ming Zhong, Rongrong Li

IEEE International Conference on Data Engineering Workshops (ICDEW)

DOI

2019

Towards both Local and Global Query Result Diversification

Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian, Jianxin Li

Lecture notes in computer science

DOI

2019

Keyword Search Based Mashup Construction with Guaranteed Diversity

Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian

Lecture notes in computer science

DOI

2018

Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks

Ming Zhong, Qian Zeng, Yuanyuan Zhu, Jianxin Li, Tieyun Qian

Lecture notes in computer science

DOI

2018

Coverage-Oriented Diversification of Keyword Search Results on Graphs

Ming Zhong, Ying Wang, Yuanyuan Zhu

Lecture notes in computer science

DOI

2018

BASSI: Balance and Status Combined Signed Network Embedding

Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li

Lecture notes in computer science

DOI

2016

TOCCF: Time-Aware One-Class Collaborative Filtering

Xinchao Chen, Wei-Ke Pan, Ming Zhong

User Modeling, Adaptation, and Personalization

2016

RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering

Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Wei-Ke Pan, Ming Zhong

User Modeling, Adaptation, and Personalization

2014

一种大规模图数据上已知项搜索的优化方法

钟鸣，王盛，刘梦赤

《计算机研究与发展》

2014

Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks

Hao Zhong, Wei-Ke Pan, Congfu Xu, Zhi Yin, Ming Zhong

International Conference on Information and Knowledge Management

DOI

2014

Co-training on authorship attribution with very fewlabeled examples

Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He

DOI

2013

Presenting XML Schema Mapping with Conjunctive-Disjunctive Views

Xuhui Li, Shanfeng Zhu, Mengchi Liu, Ming Zhong

Lecture notes in computer science

DOI

2013

MVP Index: Towards Efficient Known-Item Search on Large Graphs

Ming Zhong, Mengchi Liu, Zhifeng Bao, Xuhui Li, Tieyun Qian

Lecture notes in computer science

DOI

2012

Revising word lattice using support vector machine for Chinese word segmentation

Ming Zhong, Sheng Wang, Ming Wu

International Conference on Information Integration and Web-based Applications & Services (iiWAS)

DOI

2012

A distributed index for efficient parallel top-k keyword search on massive graphs

Ming Zhong, Mengchi Liu

DOI

2012

Ranking the answer trees of graph search by both structure and content

Ming Zhong, Mengchi Liu

DOI

2009

3se

Ming Zhong, Mengchi Liu

DOI

2009

A Flexible Data Warehousing Approach for One-Stop Querying on Heterogeneous Personal Information

Ming Zhong, Mengchi Liu

DOI

2009

Efficient keyword proximity search using a frontier-reduce strategy based ond-distance graph index

Ming Zhong, Mengchi Liu

International Database Engineering & Applications Symposium (IDEAS)

DOI

2008

Modeling heterogeneous data in dataspace

Ming Zhong, Mengchi Liu, Qian Chen

IEEE International Conference on Information Reuse and Integration (IRI)

DOI

会议论文

2012

FindGrape:一个高效的图数据库关键词搜索引擎

桑雷，钟鸣，陈柳，屈俊峰，刘梦赤

《第29届中国数据库学术会议（NDBC2012）》

预印本

2026

DocNavRAG: Document-Structured Graph RAG with Stateful Evidence Construction for Complex Document Question Answering

Dongyang Xie, Yao Tian, Hao Zhang, Yifei Yuan, Tieyun Qian, Ming Zhong, Jiawei Jiang, Yuanyuan Zhu

arXiv (Cornell University)

DOI

2026

Evolving from Lessons: Skill-Augmented Table Graph Reasoning for Operation-wise Table Question Answering

Guixin Su, Qiankun Pi, Mayi Xu, Wenli Li, Ming Zhong, Yuanyuan Zhu, Jiawei Jiang, Tieyun Qian

arXiv (Cornell University)

DOI

2026

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction

Zhuofeng Li, Haoxiang Zhang, Cong Wei, Pan Lu, Ping Nie, Yi Lu, Yuyang Bai, Shangbin Feng, Hangxiao Zhu, Ming Zhong, Yuyu Zhang, Jianwen Xie, Yejin Choi, James Zou, Jiawei Han, Wenhu Chen, Jimmy Lin, Dongfu Jiang, Yu Zhang

arXiv preprint

2026

Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation

Jiashuo Sun, Pengcheng Jiang, Saizhuo Wang, Jiajun Fan, Heng Wang, Siru Ouyang, Ming Zhong, Yizhu Jiao, Chengsong Huang, Xueqiang Xu, Pengrui Han, Peiran Li, Jiaxin Huang, Ge Liu, Heng Ji, Jiawei Han

arXiv preprint

2026

Symphony-Coord: Adaptive Routing for Multi-Agent LLM Systems

Zhaoyang Guan, Huixi Cao, Ming Zhong, Yin Wang, Guanyu Liu, Eric Yang, Lynn Ai, Yongxin Ni, Bill Shi

arXiv preprint

2026

DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use

Aili Chen, Chi Zhang, Junteng Liu, Jiangjie Chen, Chengyu Du, Yunji Li, Ming Zhong, Qin Wang, Zhengmao Zhu, Jiayuan Song, Ke Ji, Junxian He, Pengyu Zhao, Yanghua Xiao

arXiv preprint

2026

Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs

Pengrui Han, Xueqiang Xu, Keyang Xuan, Peiyang Song, Siru Ouyang, Runchu Tian, Yuqing Jiang, Cheng Qian, Pengcheng Jiang, Jiashuo Sun, Junxia Cui, Ming Zhong, Ge Liu, Jiawei Han, Jiaxuan You

arXiv preprint

2026

How Hard Does It Think? Analyzing Step-Aware Reasoning Energy in LLM Chain-of-Thought Trajectories

Hui Wei, Junda Wu, Sheldon Yu, Sizhe Zhou, Yizhu Jiao, Ming Zhong, Bowen Jin, Tong Yu, Shijia Pan, Jiawei Han, Julian McAuley

arXiv preprint

2025

SWE-IF: Aligning Code Evaluation with Human Preference

Ming Zhong, Xiang Zhou, Ting-Yun Chang, Qingze Wang, Nan Xu, Xiance Si, Dan Garrette, Shyam Upadhyay, Jeremiah Liu, Jiawei Han, Benoit Schillings, Jiao Sun

arXiv preprint

2025

Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills

Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han

arXiv preprint

2025

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science

An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding

arXiv preprint

2025

Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation

Donglin Zhou, Weike Pan, Zhong Ming

arXiv preprint

2025

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu

arXiv preprint

2025

Robustness of One-to-Many Interdependent Higher-order Networks Against Cascading Failures

Cheng Qian, Dandan Zhao, Bo Zhang, Ming Zhong, Jianmin Han, Shenghong Li, Hao Peng, Wei Wang

arXiv preprint

2025

A Survey on Training-free Alignment of Large Language Models

Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian

arXiv preprint

2025

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models

Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han

arXiv preprint

DOI

2025

Automated Information Flow Selection for Multi-scenario Multi-task Recommendation

Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming

arXiv preprint

DOI

2024

Deep Learning Based Dense Retrieval: A Comparative Study

Ming Zhong, Zhizhi Wu, Nanako Honda

arXiv preprint

2024

Investigating Instruction Tuning Large Language Models on Graphs

Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han

arXiv preprint

2024

Why Does the Effective Context Length of LLMs Fall Short?

Chenxin An, Jun Zhang, Ming Zhong, Lei Li, Shansan Gong, Yao Luo, Jingjing Xu, Lingpeng Kong

arXiv preprint

2024

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation

Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen

arXiv preprint

2023

Message passing approach to analyze the robustness of hypergraph

Hao Peng, Cheng Qian, Dandan Zhao, Ming Zhong, Jianmin Han, Runchao Li, Wei Wang

arXiv preprint

2023

GNN4FR: A Lossless GNN-based Federated Recommendation Framework

Guowei Wu, Weike Pan, Zhong Ming

arXiv preprint

2023

Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset

Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming

arXiv preprint

2022

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data

Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He

arXiv preprint

研究方向

大数据与数据库信息检索与机器学习大规模图数据管理分析地理社交网络金融图谱

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