庄福振｜北京航空航天大学｜学者主页

百晓学者学者目录

精选作品

期刊论文

2026

多视图增强图注意力网络的多模态知识图谱补全

陈伟，庄福振

《计算机研究与发展》

2026

Temporal knowledge graph reasoning via multi-granularity knowledge refinement

Fu-Wei Zhang, Fu-Zhen Zhuang, Zhao Zhang, Pengpeng Zhao

Frontiers of Computer Science

DOI

2026

S$^{2}$Q-VDiT$^+$: Accurate Quantized Video Diffusion Transformer With Multi-Resolution S ampling and S tructural Distillation

Wei Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Mingqiang Wu, Guoxin Fan, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Renshuai Tao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Zhigang Zeng, Tingwen Huang, Yingli Tian

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models With Temporal Distillation

Wei Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

Multi-Aspect Cross-modal Quantization for Generative Recommendation

Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, huan chen, Peng Yan, Fuzhen Zhuang, Zhao Zhang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction

Yutian Xiao, Shukuan Wang, Zhao Zhang, Meng Yuan, Wei Chen, Hao Geng, Chenghao Zhang, Yanze Zhang, Shanqi Liu, Chao Feng, Xiang Li, Lantao Hu, Han Li, Fuzhen Zhuang

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method

Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu

Lecture notes in computer science

DOI

2025

Mixed-Curvature Multi-Modal Knowledge Graph Completion

Yuxiao Gao, Fu-Wei Zhang, Zhao Zhang, Xiaoshuang Min, Fu-Zhen Zhuang

AAAI Conference on Artificial Intelligence

DOI

2025

Self-Disentangling Domain-Specific and Domain-Agnostic Representations Across Multiple Sources for Data-To-Text Generation

Mingxuan Du, Jingbo Zhou, Fuzhen Zhuang, Yuhong Zhang

IEEE International Conference on Knowledge Graph (ICKG)

DOI

2025

Causal Structure Representation Learning of Unobserved Confounders in Latent Space for Recommendation

Hangtong Xu, Yuanbo Xu, Chaozhuo Li, Fuzhen Zhuang

ACM Transactions on Information Systems

DOI

2025

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation

Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

SeqFedEDT: Accelerating Sequential Federated Learning on non-IID Data via Element-Wise Decoupled Training

Tian Yan Du, Xingyan Chen, Mu Wang, Yaling Liu, Su Fen Yao, Gang Kou, Fuzhen Zhuang, Changqiao Xu, Gabriel‐Miro Muntean

IEEE Transactions on Mobile Computing

DOI

2024

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback

Yi-Qing Wu, Ruo-Bing Xie, Zhao Zhang, Xu Zhang, Fu-Zhen Zhuang, Le-Yu Lin, Zhan-Hui Kang, Yongjun Xu

Knowledge Discovery and Data Mining

DOI

2024

Multi-view Temporal Knowledge Graph Reasoning

Fu-Wei Zhang, Zhao Zhang, Fu-Zhen Zhuang, Zhi-Qiang Zhang, Jun Zhou, Deqing Wang

International Conference on Information and Knowledge Management

DOI

2024

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction

Wei Chen, Yuxuan Liu, Zhao Zhang, Fu-Zhen Zhuang, Jiang Zhong

AAAI Conference on Artificial Intelligence

DOI

2024

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction

Chenguang Du, Hao Geng, Deqing Wang, Fu-Zhen Zhuang, Zhiqiang Zhang, Lan-Shan Zhang

The Web Conference

DOI

2024

ID-centric Pre-training for Recommendation

Yi-Qing Wu, Ruo-Bing Xie, Zhao Zhang, Xu Zhang, Fu-Zhen Zhuang, Le-Yu Lin, Zhan-Hui Kang, Zhu-Lin An, Yongjun Xu

ACM Trans. Inf. Syst.

DOI

2024

Open-category referring expression comprehension via multi-modal knowledge transfer

Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo

Neurocomputing

DOI

2024

A General Strategy Graph Collaborative Filtering for Recommendation Unlearning

Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2024

Representation Learning of Temporal Graphs with Structural Roles

Huaming Du, Long Qing Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2024

Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation

Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou

Proceedings - International Conference on Data Engineering

DOI

2024

Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering

Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou

Proceedings - International Conference on Data Engineering

DOI

2024

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation

Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2024

A comprehensive survey of federated transfer learning: challenges, methods and applications

Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong

Frontiers of Computer Science

DOI

2024

Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning

Ying Qiu Sun, Yang Ji, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Yun Xiong

ACM Transactions on Information Systems

DOI

2024

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation

Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Qiu Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu

ACM International Conference on Multimedia (ACM MM)

DOI

2024

A survey on causal inference for recommendation

Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang, Zhulin An, Yongjun Xu

The Innovation

DOI

2024

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions

Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Qiu Sun, Weiqiang Wang, Deqing Wang

Lecture notes in computer science

DOI

2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation

Yuting Zhang, Yi-Qing Wu, Ran Le, Yongchun Zhu, Fu-Zhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhu-Lin An, Yong-Jun Xu

Knowledge Discovery and Data Mining

DOI

2023

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing

Yu Zhao, Han Zhou, Anxiang Zhang, Ruo-Bing Xie, Qing Li, Fu-Zhen Zhuang

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

Chenguang Du, Kaichun Yao, Heng-Shu Zhu, Deqing Wang, Fu-Zhen Zhuang, Hui Xiong

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

DOI

2023

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph

Wei Chen, Yi-Qing Wu, Zhao Zhang, Fu-Zhen Zhuang, Zhongshi He, Ruo-Bing Xie, Feng Xia

ACM Trans. Inf. Syst.

DOI

2023

Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation

Meng Yuan, Fu-Zhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong

ACM Conference on Recommender Systems

DOI

2023

Attacking Pre-trained Recommendation

Yi-Qing Wu, Ruo-Bing Xie, Zhao Zhang, Yongchun Zhu, Fu-Zhen Zhuang, Jie Zhou, Yongjun Xu, Qing He

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

DOI

2023

Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement

Qiming Li, Zhao Zhang, Fu-Zhen Zhuang, Yongjun Xu, Chao Li

ACM Trans. Inf. Syst.

DOI

2023

Neural Multi-hop Logical Query Answering with Concept-Level Answers

Zhenwei Tang, Shichao Pei, Xi Peng, Fu-Zhen Zhuang, Xiangliang Zhang, R. Hoehndorf

International Workshop on the Semantic Web

2023

Customized Conversational Recommender Systems

Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Yun Xiong

Lecture notes in computer science

DOI

2023

Meta-optimized Contrastive Learning for Sequential Recommendation

Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng

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

DOI

2023

Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction

Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment

Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Yun Xiong

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2023

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation

Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng

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

DOI

2023

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation

Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng

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

DOI

2023

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract

Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Yun Xiong, Qing He

Proceedings - International Conference on Data Engineering

DOI

2023

Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification

Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang

IEEE Intelligent Systems

DOI

2023

Matching Point of Interests and Travel Blog with Multi-view Information Fusion

Shuokai Li, Jingbo Zhou, Jizhou Huang, H. M. Chen, Fuzhen Zhuang, Qing He, Dejing Dou

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

DOI

2022

Self-Supervised learning for Conversational Recommendation

Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He

Information Processing & Management，Vol. 59, No. 6

DOI

2022

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fu-Zhen Zhuang, R. Hoehndorf, Xiang-Liang Zhang

International Joint Conference on Artificial Intelligence

DOI

2022

Knowledge-Aware Topological Networks for Recommendation

Jian Pan, Zhao Zhang, Fu-Zhen Zhuang, Jingyuan Yang, Zhi-Ping Shi

China Conference on Knowledge Graph and Semantic Computing

DOI

2022

Clustering-Enhanced Knowledge Graph Embedding

Fuwei Zhang, Zhao Zhang, Fu-Zhen Zhuang, Jing-Jing Gu, Zhi-Ping Shi, Qing He

Big Data

DOI

2022

Personalized Prompt for Sequential Recommendation

Yi-Qing Wu, Ruo-Bing Xie, Yongchun Zhu, Fu-Zhen Zhuang, Xu Zhang, Le-Yu Lin, Qing He

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion

Fuwei Zhang, Zhao Zhang, Xiang Ao, Fu-Zhen Zhuang, Yongjun Xu, Qing He

International Conference on Information and Knowledge Management

DOI

2022

Adaptively sharing multi-levels of distributed representations in multi-task learning

Tian-Xin Wang, Fu-Zhen Zhuang, Ying Sun, Xiang-Liang Zhang, Le-Yu Lin, Feng Xia, Lei He, Qing He

Information Sciences

DOI

2022

Joint Abductive and Inductive Neural Logical Reasoning

Zhenwei Tang, Shichao Pei, Xi Peng, Fu-Zhen Zhuang, Xiang-Liang Zhang, R. Hoehndorf

arXiv.org

DOI

2022

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs

Zimin Wan, Deqing Wang, Xuehua Ming, Fu-Zhen Zhuang, Chenguang Du, Ting Jiang, Zhengyang Zhao

arXiv.org

DOI

2022

User-Centric Conversational Recommendation with Multi-Aspect User Modeling

Shuokai Li, Ruo-Bing Xie, Yongchun Zhu, Xiang Ao, Fu-Zhen Zhuang, Qing He

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

DOI

2022

Multi-view Multi-behavior Contrastive Learning in Recommendation

Yi-Qing Wu, Ruo-Bing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fu-Zhen Zhuang, Le-Yu Lin, Qing He

International Conference on Database Systems for Advanced Applications

DOI

2022

Fast and Robust Link Prediction using Ontology

Varun Ranganathan, Siddharth Suresh, Yash Mathur, Andrea Rossi, Denilson Barbosa, D. Firmani, Antonio Matinata, Paolo Merialdo, Knowl-396, Liang Yao, Chengsheng Mao, Yuan Luo, Kg-422, Zhao Zhang, Fu-Zhen Zhuang, M. Qu, Fen Lin

2022

Selective Fairness in Recommendation via Prompts

Yi-Qing Wu, Ruo-Bing Xie, Yongchun Zhu, Fu-Zhen Zhuang, Ao Xiang, Xu Zhang, Le-Yu Lin, Qing He

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

DOI

2022

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis

Wei Chen, Jinglong Du, Zhao Zhang, Fu-Zhen Zhuang, Zhongshi He

International Conference on Computational Linguistics

DOI

2022

A Logic Aware Neural Generation Method for Explainable Data-to-text

Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2022

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement

Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Wei Yi, Qing He

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2022

Memory-Guided Multi-View Multi-Domain Fake News Detection

Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

A neural topic model with word vectors and entity vectors for short texts

Xiaowei Zhao, Deqing Wang, Zhengyang Zhao, Wei Liu, Chenwei Lu, Fuzhen Zhuang

Information Processing & Management，Vol. 58, No. 2

DOI

2021

协同过滤推荐系统综述

赵俊逸，庄福振，敖翔，何清，蒋慧琴，马岭

《信息安全学报》

DOI

2021

Incorporating Global Information in Local Attention for Knowledge Representation Learning

Yu Zhao, Hannah Zhou, Ruo-Bing Xie, Fu-Zhen Zhuang, Qing Li, Ji Liu

Findings

DOI

2021

Knowledge graph embedding with shared latent semantic units

Zhao Zhang, Fu-Zhen Zhuang, M. Qu, Zheng-Yu Niu, Hui Xiong, Qing He

Neural Networks

DOI

2021

Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks

Yu Zhao, Shaopeng Wei, Huaming Du, Xing-Yan Chen, Qing Li, Fu-Zhen Zhuang, J. Liu, Gang Kou

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Personalized Transfer of User Preferences for Cross-domain Recommendation

Yongchun Zhu, Zhenwei Tang, Yu-Dan Liu, Fu-Zhen Zhuang, Ruo-Bing Xie, Xu Zhang, Le-Yu Lin, Qing He

Web Search and Data Mining

DOI

2021

EIGAT: Incorporating global information in local attention for knowledge representation learning

Yu Zhao, Huali Feng, Han Zhou, Yanru Yang, Xing-Yan Chen, Ruo-Bing Xie, Fu-Zhen Zhuang, Qing Li

Knowledge-Based Systems

DOI

2021

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising

Dong-Bo Xi, Zhen Chen, Peng Yan, Ying-Er Zhang, Yongchun Zhu, Fu-Zhen Zhuang, Yu Chen

Knowledge Discovery and Data Mining

DOI

2021

Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising

Yongchun Zhu, Yu-Dan Liu, Ruo-Bing Xie, Fu-Zhen Zhuang, Xiao-Bo Hao, Kai-Kai Ge, Xu Zhang, Le-Yu Lin, Juan Cao

Knowledge Discovery and Data Mining

DOI

2021

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

Yongchun Zhu, Kai-Kai Ge, Fu-Zhen Zhuang, Ruo-Bing Xie, Dong-Bo Xi, Xu Zhang, Le-Yu Lin, Qing He

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

DOI

2021

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning

Ying Sun, Fu-Zhen Zhuang, Heng-Shu Zhu, Qing He, Hui Xiong

The Web Conference

DOI

2021

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks

Yongchun Zhu, Ruo-Bing Xie, Fu-Zhen Zhuang, Kai-Kai Ge, Ying Sun, Xu Zhang, Le-Yu Lin, Juan Cao

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

DOI

2021

Combat data shift in few-shot learning with knowledge graph

Yongchun Zhu, Fu-Zhen Zhuang, Xiang-Liang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He

Frontiers of Computer Science

DOI

2021

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning

Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Yun Xiong, Qing He, Yongjun Xu

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT

Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2021

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation

Ying Qiu Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qinglin He, Hui Yun Xiong

Rare & Special e-Zone (The Hong Kong University of Science and Technology)

2021

Low-dimensional Alignment for Cross-Domain Recommendation

Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2021

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation

Yuanxin Zhuang, Chuan Shi, Cheng Hong Yang, Fuzhen Zhuang, Yangqiu Song

Lecture notes in computer science

DOI

2020

基于知识图谱的推荐系统研究综述

秦川，祝恒书，庄福振，郭庆宇，张琦，张乐，王超，陈恩红，熊辉

《中国科学:信息科学》

2020

Domain Adaptation with Category Attention Network for Deep Sentiment Analysis

Dong-Bo Xi, Fu-Zhen Zhuang, Ganbin Zhou, X. Cheng, Fen Lin, Qing He

The Web Conference

DOI

2020

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow

Jia He, Feiyang Pan, Fu-Zhen Zhuang, Qing He

Asian Conference on Machine Learning

2020

Deep Subdomain Adaptation Network for Image Classification

Yongchun Zhu, Fu-Zhen Zhuang, Jin-Dong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Softly Associative Transfer Learning for Cross-Domain Classification

Deqing Wang, Chen-Wei Lu, Junjie Wu, Hong-Fu Liu, W. Zhang, Fu-Zhen Zhuang, Hui Zhang

IEEE Transactions on Cybernetics

DOI

2020

Compressing Knowledge Graph Embedding with Relational Graph Auto-encoder

Shiyu Zhang, Zhao Zhang, Fu-Zhen Zhuang, Zhi-Ping Shi, Xu Han

IEEE International Conference on Electronics Information and Emergency Communication

DOI

2020

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition

Yi-Qing Wu, Ying Sun, Fu-Zhen Zhuang, Deqing Wang, Xiang-Liang Zhang, Qing He

Industrial Conference on Data Mining

DOI

2020

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

Zhao Zhang, Fu-Zhen Zhuang, Heng-Shu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He

AAAI Conference on Artificial Intelligence

DOI

2020

A Survey on Knowledge Graph-Based Recommender Systems

Qi Zhang, Le Zhang, Chuan Qin, Chao Wang, Heng-Shu Zhu, Hui Xiong, En-Hong Chen, Qingyu Guo, Fu-Zhen Zhuang

IEEE Transactions on Knowledge and Data Engineering

DOI

2020

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation

Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fu-Zhen Zhuang, Philip S. Yu, Wanli Zuo

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining

Fu-Zhen Zhuang, Yingmin Zhou, Haochao Ying, Fu-Zheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong

Journal of Computational Science and Technology

DOI

2020

Graph Factorization Machines for Cross-Domain Recommendation

Dong-Bo Xi, Fu-Zhen Zhuang, Yongchun Zhu, Peng-Peng Zhao, Xiang-Liang Zhang, Qing He

arXiv.org

2020

Neural Hierarchical Factorization Machines for User's Event Sequence Analysis

Dong-Bo Xi, Fu-Zhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He

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

DOI

2019

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

Yongchun Zhu, Fu-Zhen Zhuang, Deqing Wang

AAAI Conference on Artificial Intelligence

DOI

2019

A Comprehensive Survey on Transfer Learning

Fu-Zhen Zhuang, Zhiyuan Qi, Keyu Duan, Dong-Bo Xi, Yongchun Zhu, Heng-Shu Zhu, Hui Xiong, Qing He

Proceedings of the IEEE

DOI

2019

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview

Chuan Qin, Heng-Shu Zhu, Chen Zhu, Tong Xu, Fu-Zhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong

Knowledge Discovery and Data Mining

DOI

2019

Multiple Relational Attention Network for Multi-task Learning

Jiejie Zhao, Bowen Du, Leilei Sun, Fu-Zhen Zhuang, Weifeng Lv, Hui Xiong

Knowledge Discovery and Data Mining

DOI

2019

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition

Yongchun Zhu, Fu-Zhen Zhuang, Jingyuan Yang, Xi Yang, Qing He

Pacific-Asia Conference on Knowledge Discovery and Data Mining

DOI

2019

Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification

Dong-Bo Xi, Fu-Zhen Zhuang, Yanchi Liu, Jing-Jing Gu, Hui Xiong, Qing He

AAAI Conference on Artificial Intelligence

DOI

2019

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach

Yu-Yang Ye, Heng-Shu Zhu, Tong Xu, Fu-Zhen Zhuang, Runlong Yu, Hui Xiong

Industrial Conference on Data Mining

DOI

2019

Multi-representation adaptation network for cross-domain image classification

Yongchun Zhu, Fu-Zhen Zhuang, Jin-Dong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He

Neural Networks

DOI

2019

Transfer Learning Toolkit: Primers and Benchmarks

Fu-Zhen Zhuang, Keyu Duan, Tong Guo, Yongchun Zhu, Dong-Bo Xi, Zhiyuan Qi, Qing He

arXiv.org

2019

Supervised representation learning for multi-label classification

Ming-Hsui Huang, Fu-Zhen Zhuang, X. Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He

Machine-mediated learning

DOI

2019

Knowledge triple mining via multi-task learning

Zhao Zhang, Fu-Zhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong

Information Systems

DOI

2019

Bayesian dual neural networks for recommendation

Jia He, Fu-Zhen Zhuang, Yanchi Liu, Qing He, Fen Lin

Frontiers of Computer Science

DOI

2019

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning

Changying Du, Jia He, Jia He, Changde Du, Fu-Zhen Zhuang, Qing He, Guoping Long

arXiv.org

2018

Coupled matrix factorization and topic modeling for aspect mining

Ding Xiao, Yugang Ji, Yitong Li, Fuzhen Zhuang, Chuan Shi

Information Processing & Management，Vol. 54, No. 6

DOI

2018

基于集成局部性特征学习的推荐算法

庄福振，罗丹，何清

《计算机科学与探索》

2018

基于Spark的高效并行自动编码机

庄福振，钱明达，申恩兆，张大鹏，何清

《数据采集与处理》

2018

Cross-Domain Labeled LDA for Cross-Domain Text Classification

Baoyu Jing, Chen-Wei Lu, Deqing Wang, Fu-Zhen Zhuang, Cheng Niu

Industrial Conference on Data Mining

DOI

2018

Sequential Recommender System based on Hierarchical Attention Networks

Haochao Ying, Fu-Zhen Zhuang, Fu-Zheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu

International Joint Conference on Artificial Intelligence

DOI

2018

A General Cross-Domain Recommendation Framework via Bayesian Neural Network

Jia He, R. Liu, Fu-Zhen Zhuang, Fen Lin, Cheng Niu, Qing He

Industrial Conference on Data Mining

DOI

2018

Policy Gradients for Contextual Recommendations

Feiyang Pan, Qingpeng Cai, Ping-Zhong Tang, Fu-Zhen Zhuang, Qing He

The Web Conference

DOI

2018

Knowledge Graph Embedding with Hierarchical Relation Structure

Zhao Zhang, Fu-Zhen Zhuang, M. Qu, Fen Lin, Qing He

Conference on Empirical Methods in Natural Language Processing

DOI

2018

Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning

X. Zhang, Wenzhong Li, Vu Nguyen, Fu-Zhen Zhuang, Hui Xiong, Sang-Lu Lu

International Joint Conference on Artificial Intelligence

DOI

2018

MultiE: Multi-Task Embedding for Knowledge Base Completion

Zhao Zhang, Fu-Zhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He

International Conference on Information and Knowledge Management

DOI

2018

Attention-driven Factor Model for Explainable Personalized Recommendation

Jingwu Chen, Fu-Zhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He

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

DOI

2017

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning

Fu-Zhen Zhuang, X. Cheng, P. Luo, Sinno Jialin Pan, Qing He

ACM Transactions on Intelligent Systems and Technology

DOI

2017

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation

Fu-Zhen Zhuang, Yingmin Zhou, Fu-Zheng Zhang, Xiang Ao, Xing Xie, Qing He

The Web Conference

DOI

2017

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel

Jia He, Changying Du, Changde Du, Fu-Zhen Zhuang, Qing He, Guoping Long

International Joint Conference on Artificial Intelligence

DOI

2017

Representation Learning with Pair-wise Constraints for Collaborative Ranking

Fu-Zhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He

Web Search and Data Mining

DOI

2017

Transfer Learning with Manifold Regularized Convolutional Neural Network

Fu-Zhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He

Knowledge Science, Engineering and Management

DOI

2017

Representation learning via Dual-Autoencoder for recommendation

Fu-Zhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He

Neural Networks

DOI

2016

Online Bayesian Max-Margin Subspace Multi-View Learning

Jia He, Changying Du, Fu-Zhen Zhuang, Xin Yin, Qing He, Guoping Long

International Joint Conference on Artificial Intelligence

2016

Ensemble of Anchor Adapters for Transfer Learning

Fu-Zhen Zhuang, P. Luo, Sinno Jialin Pan, Hui Xiong, Qing He

International Conference on Information and Knowledge Management

DOI

2015

QPLSA: Utilizing quad-tuples for aspect identification and rating

Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi

Information Processing & Management，Vol. 51, No. 1

DOI

2015

基于MapReduce的并行PLSA算法及在文本挖掘中的应用

李宁，罗文娟，庄福振，何清，史忠植

《中文信息学报》

2015

一种基于Hadoop的大数据挖掘云服务及应用

何清，敖翔，庄福振，罗平

《信息通信技术》

2015

Learning deep representations via extreme learning machines

Wen-Chao Yu, Fu-Zhen Zhuang, Qing He, Zhong-Zhi Shi

Neurocomputing

DOI

2015

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning

Fu-Zhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, P. Luo, Qing He

2015 IEEE International Conference on Data Mining

DOI

2015

Supervised Representation Learning: Transfer Learning with Deep Autoencoders

Fu-Zhen Zhuang, X. Cheng, P. Luo, Sinno Jialin Pan, Qing He

International Joint Conference on Artificial Intelligence

2015

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks

Xin Jin, P. Luo, Fu-Zhen Zhuang, Jia He, Jia He, Qing He

International Conference on Information and Knowledge Management

DOI

2015

Heterogeneous Multi-task Semantic Feature Learning for Classification

Xin Jin, Fu-Zhen Zhuang, Sinno Jialin Pan, Changying Du, P. Luo, Qing He

International Conference on Information and Knowledge Management

DOI

2014

PDMiner:基于云计算的并行分布式数据挖掘工具平台

何清，庄福振，曾立，赵卫中，谭庆

《中国科学:信息科学》

2014

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders

Fu-Zhen Zhuang, X. Cheng, Sinno Jialin Pan, Wen-Chao Yu, Qing He, Zhong-Zhi Shi

ECML/PKDD

DOI

2014

Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews

Wenjuan Luo, Fu-Zhen Zhuang, X. Cheng, Qing He, Zhong-Zhi Shi

2014 IEEE International Conference on Data Mining

DOI

2014

Nonparametric Bayesian Multi-Task Large-margin Classification

Changying Du, Jia He, Fu-Zhen Zhuang, Yuan Qi, Qing He

European Conference on Artificial Intelligence

DOI

2014

Multi-task Multi-view Learning for Heterogeneous Tasks

Xin Jin, Fu-Zhen Zhuang, Hui Xiong, Changying Du, P. Luo, Qing He

International Conference on Information and Knowledge Management

DOI

2013

基于云计算的大数据挖掘平台

何清，庄福振

《中兴通讯技术》

2013

大数据挖掘与云服务模式

何清，庄福振

《高科技与产业化》

2013

A New Similarity Measure Based on Preference Sequences for Collaborative Filtering

Tianfeng Shang, Qing He, Fu-Zhen Zhuang, Zhong-Zhi Shi

Asia-Pacific Web Conference

DOI

2013

Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification

Fu-Zhen Zhuang, P. Luo, Changying Du, Qing He, Zhong-Zhi Shi, Hui Xiong

IEEE Transactions on Cybernetics

DOI

2013

Shared Structure Learning for Multiple Tasks with Multiple Views

Xin Jin, Fu-Zhen Zhuang, Shuhui Wang, Qing He, Zhong-Zhi Shi

ECML/PKDD

DOI

2013

Embedding with Autoencoder Regularization

Wen-Chao Yu, Guangxiang Zeng, P. Luo, Fu-Zhen Zhuang, Qing He, Zhong-Zhi Shi

ECML/PKDD

DOI

2013

Extreme Learning Machine combining matrix factorization for collaborative filtering

Tianfeng Shang, Qing He, Fu-Zhen Zhuang, Zhong-Zhi Shi

IEEE International Joint Conference on Neural Network

DOI

2012

Parallel Web Mining System Based on Cloud Platform

Shengmei Luo, Qing He, Lixia Liu, Xiang Ao, Ning Li, Fuzhen Zhuang

ZTE Communications

2012

Multi-view learning via probabilistic latent semantic analysis

Fu-Zhen Zhuang, G. Karypis, Xia Ning, Qing He, Zhong-Zhi Shi

Information Sciences

DOI

2012

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification

Fu-Zhen Zhuang, P. Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhong-Zhi Shi, Hui Xiong

IEEE Transactions on Knowledge and Data Engineering

DOI

2012

Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification

Wenjuan Luo, Fu-Zhen Zhuang, Qing He, Zhong-Zhi Shi

Pacific-Asia Conference on Knowledge Discovery and Data Mining

DOI

2012

Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification"

Fu-Zhen Zhuang, P. Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhong-Zhi Shi, Hui Xiong

IEEE Transactions on Knowledge and Data Engineering

DOI

2012

Multi-task Semi-supervised Semantic Feature Learning for Classification

Changying Du, Fu-Zhen Zhuang, Qing He, Zhong-Zhi Shi

2012 IEEE 12th International Conference on Data Mining

DOI

2012

Improving Transfer Learning by Introspective Reasoner

Zhong-Zhi Shi, Bo Zhang, Fu-Zhen Zhuang

IFIP International Conference on Intelligent Information Processing

DOI

2012

Effectively Constructing Reliable Data for Cross-Domain Text Classification

Fu-Zhen Zhuang, Qing He, Zhong-Zhi Shi

IFIP International Conference on Intelligent Information Processing

DOI

2011

Exploiting associations between word clusters and document classes for cross‐domain text categorization †

Fu-Zhen Zhuang, P. Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhong-Zhi Shi

Statistical analysis and data mining

DOI

2010

Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective

Fu-Zhen Zhuang, P. Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhong-Zhi Shi

IEEE Transactions on Knowledge and Data Engineering

DOI

2010

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification

Fu-Zhen Zhuang, P. Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhong-Zhi Shi, Hui Xiong

International Conference on Information and Knowledge Management

DOI

2009

Inductive transfer learning for unlabeled target-domain via hybrid regularization

Fu-Zhen Zhuang, P. Luo, Qing He, Zhong-Zhi Shi

DOI

2008

Transfer learning from multiple source domains via consensus regularization

P. Luo, Fu-Zhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He

International Conference on Information and Knowledge Management

DOI

预印本

2026

HiTS-CL: A Continual Learning Framework for Long-Horizon Temporal Knowledge Graph Extrapolation

Yansong Liu, Rui Liu, Yuan Zuo, Hongwei Zhao, Da Fu, Fuwei Zhang, Fuzhen Zhuang, Yong Chen, Zhe Li

arXiv (Cornell University)

DOI

2026

ICEGR: An Intent-Coherent End-to-End Generative Retrieval Framework for E-commerce Search

Jiayi Tuo, Hehan Li, Dongjun Fu, Xin Lu, Ling Zhuang, Fuwei Zhang, Li, Meifang, Peizhi Xu, Hanmeng Liu, Shuanglong Li, Liwei Qian, Yanbiao Ma, Fuzhen Zhuang

arXiv (Cornell University)

DOI

2026

Agent Exploration toward Artificial General Intelligence: A Survey

Yikun Ban, Fengkai Yang, Fangzheng Chen, Yibo Wang, Zhijun Chen, Zhongyi Li, Gongxun Li, Huaiyang Wang, Gongxun Li, Zixuan Huang, Xiaoyuan Zhang, Zehao Chen, Yaocheng Yang, Pengcheng Wei, Wan Tian, Zherui Chen, Zhixia Zhang, Hongyan Xie, Lingyu Lv, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Tianxiang Ai, Zhongxiang Dai, Zhiyong Wang, Ruijie Wang, Haoyi Zhou, Chaochao Lu, Wanxiang Che, Fuzhen Zhuang, Ning Ding, Qianqian Xu, Deqing Wang, Yaodong Yang, Jianxin Li

SSRN Electronic Journal

DOI

2026

Dual-Channel Robust Group-Relative Policy Optimization via Advantage and Sequence-Weight Estimation

Zhongyi Li, Wan Tian, Xiang Xu, Yutian Xiao, Yikun Ban, Yijie Peng, Fuzhen Zhuang

arXiv (Cornell University)

DOI

2026

WDL-OPD: Weak-Driven On-Policy Distillation via Mixture-Constrained Co-Training

Zehao Chen, Gongxun Li, Tianxiang Ai, Yifei Li, Zixuan Huang, Wang Zhou, Tao Huang, Fuzhen Zhuang, Xianglong Liu, Jianxin Li, Deqing Wang, Yikun Ban

arXiv (Cornell University)

DOI

2026

Counterfactual Credit Policy Optimization for Multi-Agent Collaboration

Zhongyi Li, Wan Tian, Jinju Chen, Huiming Zhang, Yang Liu, Yikun Ban, Fuzhen Zhuang

arXiv (Cornell University)

DOI

2026

Heterogeneous Agent Collaborative Reinforcement Learning

Zhixia Zhang, Zixuan Huang, Gongxun Li, Deqing Wang, Chengyi Yuan, Xin Xia, Deqing Wang, Fuzhen Zhuang, Shuai Ma, Ning Ding, Yaodong Yang, Jianxin Li, Yikun Ban

arXiv (Cornell University)

DOI

2026

Does Your Reasoning Model Implicitly Know When to Stop Thinking?

Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuanda Wang, Zheng Zhang, Hongyan Xie, Songshi Liang, Zehao Chen, Xuefeng Xiao, Fuzhen Zhuang, Jianxin Li, Deqing Wang, Yikun Ban

arXiv (Cornell University)

DOI

2026

Real-Time Aligned Reward Model beyond Semantics

Zixuan Huang, Xin Xia, Yuxi Ren, Jianbin Zheng, Xuefeng Xiao, Hongyan Xie, Li Huaqiu, Songshi Liang, Zhongxiang Dai, Fuzhen Zhuang, Jianxin Li, Yikun Ban, Deqing Wang

arXiv (Cornell University)

DOI

2026

Your Group-Relative Advantage Is Biased

Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu, Jiajun Chai, Guojun Yin, Wei Lin, Shuai Ma, Fuzhen Zhuang, Deqing Wang, Yaodong Yang, Jianxin Li, Yikun Ban

arXiv (Cornell University)

DOI

2024