Fuzhen Zhuang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 283

Top Venues

CoRR

KDD

IEEE Trans. Knowl. Data Eng.

SIGIR

Publications

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. Knowl. Inf. Syst. 66 (5) (2024)
Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang
Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD (2024)
Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR (2024)
Huaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li
DKPE: Deep KeyPhrase Expansion. Neurocomputing 572 (2024)
Ying Luo, Guoliang Kang, Kexin Liu, Fuzhen Zhuang, Jinhu Lü
Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization. IEEE Trans. Multim. 26 (2024)
Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong
A comprehensive survey of federated transfer learning: challenges, methods and applications. Frontiers Comput. Sci. 18 (6) (2024)
Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou
Graph Dimension Attention Networks for Enterprise Credit Assessment. CoRR (2024)
Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou
Representation Learning of Temporal Graphs with Structural Roles. KDD (2024)
Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Gang Kou
Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. Inf. Sci. 659 (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu
ID-centric Pre-training for Recommendation. CoRR (2024)
Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang
A syntactic multi-level interaction network for rumor detection. Neural Comput. Appl. 36 (4) (2024)
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM (2024)
Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang
Improving Domain Adaptation through Extended-Text Reading Comprehension. CoRR (2024)
Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI (2024)
Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su
Light POI-Guided Conversational Recommender System based on Adaptive Space. SDM (2024)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang
A syntactic evidence network model for fact verification. Neural Networks 178 (2024)
Dongbo Xi, Zhen Chen, Yuexian Wang, He Cui, Chong Peng, Fuzhen Zhuang, Peng Yan
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework. CoRR (2024)
Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE (2024)
Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications. CoRR (2024)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR (2024)
Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Sun Ying, Zhao Zhang, Yiqi Tong, Yan Liu
Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. WWW (Companion Volume) (2024)
Wenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo
Open-category referring expression comprehension via multi-modal knowledge transfer. Neurocomputing 598 (2024)
Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR (2024)
Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning. CoRR (2024)
Ting Jiang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang
E5-V: Universal Embeddings with Multimodal Large Language Models. CoRR (2024)
Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu
Triple Dual Learning for Opinion-based Explainable Recommendation. ACM Trans. Inf. Syst. 42 (3) (2024)
Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD (2024)
Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42 (4) (2024)
Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE (2024)
Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. CoRR (2024)
Yanming Chen, Jiahao Xu, Zhulin An, Fuzhen Zhuang
Multi-scale conditional reconstruction generative adversarial network. Image Vis. Comput. 141 (2024)
Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu
Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD (2024)
Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR (2023)
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR (2023)
Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. SIGIR (2023)
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR (2023)
Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He
Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. 17 (1) (2023)
Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) (2023)
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR (2023)
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. CoRR (2023)
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR (2023)
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE (2023)
Hangtong Xu, Yuanbo Xu, Yongjian Yang, Fuzhen Zhuang, Hui Xiong
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops. CoRR (2023)
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR (2023)
Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) (2023)
Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR (2023)
Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. CoRR (2023)
Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR (2023)
Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CoRR (2023)
Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. IEEE Trans. Mob. Comput. 22 (6) (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. SIGIR (2023)
Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang
A Survey on Causal Inference for Recommendation. CoRR (2023)
Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
Neural Multi-hop Logical Query Answering with Concept-Level Answers. ISWC (2023)
Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys (2023)
Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD (2023)
Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction. CoRR (2023)
Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu
Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM (2023)
Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. CIKM (2023)
Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. 41 (4) (2023)
Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR (2023)
Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang
Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification. IEEE Intell. Syst. 38 (5) (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. CoRR (2023)
Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang
Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. SDM (2023)
Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR (2023)
Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. ACM Trans. Knowl. Discov. Data 17 (5) (2023)
Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR (2023)
Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW (2023)
Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang
Scaling Sentence Embeddings with Large Language Models. CoRR (2023)
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR (2023)
Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. KDD (2023)
Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
Weighted Knowledge Graph Embedding. SIGIR (2023)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. ECML/PKDD (2) (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompts for Sequential Recommendation. CoRR (2022)
Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong
Detect Professional Malicious User With Metric Learning in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li
EvidenceNet: Evidence Fusion Network for Fact Verification. WWW (2022)
Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) (2022)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. CoRR (2022)
Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR (2022)
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM (2022)
Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang
PromptBERT: Improving BERT Sentence Embeddings with Prompts. EMNLP (2022)
Yan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun
Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. ICDM (2022)
Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi
Knowledge-Aware Topological Networks for Recommendation. CCKS (2022)
Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. CoRR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. CoRR (2022)
Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR (2022)
Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR (2022)
Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf
Joint Abductive and Inductive Neural Logical Reasoning. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fuzhen Zhuang