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Fuzhen Zhuang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

171

Venues

31

Active years

2008–2026

Best venue rank

A*

Where they publish

Papers

171 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIMulti-Aspect Cross-modal Quantization for Generative Recommendation.Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, Huan Chen, Peng Yan, Fuzhen Zhuang, Zhao Zhang
2026KDDHow Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals.Feng Liu, Hao Cang, Huanhuan Yuan, Jiaqing Fan, Yongjing Hao, Fuzhen Zhuang, Guanfeng Liu, Pengpeng Zhao
2026KSEMCausal Backdoor Adjustment for Citation Intent Classification.Yu Song, Lidan Wan, Zhao Zhang, Deqing Wang, Fuzhen Zhuang
2026WSDMCAT-IDXiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin
2025AAAISmoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation.Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2025AAAIMixed-Curvature Multi-Modal Knowledge Graph Completion.Yuxiao Gao, Fuwei Zhang, Zhao Zhang, Xiaoshuang Min, Fuzhen Zhuang
2025AAAIOne for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation.Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang
2025ACLHierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search.Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Zenghua Xia, Fei Jiang, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025ACLMulti-level Relevance Document Identifier Learning for Generative Retrieval.Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025CIKMA Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation.Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin
2025CIKMORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling.Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2025CIKMEnhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging.Qi Zhou, Xi Chen, Chuyu Fang, Jianji Wang, Chuan Qin, Fuzhen Zhuang
2025DASFAAFLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents.Zheng Dou, Deqing Wang, Fuzhen Zhuang, Jian Ren, Yanlin Hu
2025DASFAAImproving 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
2025ECAIHWei Guo, Siyuan Lu, Yiqi Tong, Zhaojun Hu, Fuzhen Zhuang, Xiao Zhang, Tao Fan, Jin Dong
2025IJCAIFCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis.Wei Chen, Zhao Zhang, Meng Yuan, Kepeng Xu, Fuzhen Zhuang
2025KDDMeasure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation.Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao
2025KDDFEZE: Alignment-Flexible Zero-Shot Vertical Federated Learning.Wei Guo, Yiqi Tong, Yiyang Duan, Fuzhen Zhuang, Xiao Zhang, Zhaojun Hu, Jin Dong
2025WWWWhitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction.Xiaoyu Liu, Yiqing Wu, Dingyuan Zhu, Yifan Wu, Daixin Wang, Xiaobo Qin, Fuzhen Zhuang
2025WWWHyperbolic Diffusion Recommender Model.Meng Yuan, Yutian Xiao, Wei Chen, Chou Zhao, Deqing Wang, Fuzhen Zhuang
2025SIGIRCDC: Causal Domain Clustering for Multi-Domain Recommendation.Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang
2024AAAIModeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction.Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong
2024CIKMA General Strategy Graph Collaborative Filtering for Recommendation Unlearning.Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024CIKMExploring High-Order User Preference with Knowledge Graph for Recommendation.Caijun Xu, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Rui Liu
2024CIKMMulti-view Temporal Knowledge Graph Reasoning.Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang
2024DASFAAEnhancing Question Answering for Enterprise Knowledge Bases using Large Language Models.Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024DASFAASeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions.Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang
2024EMNLPScaling Sentence Embeddings with Large Language Models.Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang
2024ICDEMeta-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
2024ICDEMeta-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
2024KDDRepresentation Learning of Temporal Graphs with Structural Roles.Huaming Du, Long Shi, Xingyan Chen, Yu Zhao, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou
2024KDDControllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model.Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu
2024KDDDFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback.Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024KDDUnified Dual-Intent Translation for Joint Modeling of Search and Recommendation.Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024WWWExploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction.Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang
2024WWWMulti-round Counterfactual Generation: Interpreting and Improving Models of Text Classification.Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu
2024WSDMIntent Contrastive Learning with Cross Subsequences for Sequential Recommendation.Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2024SDMLight POI-Guided Conversational Recommender System based on Adaptive Space.Meng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su
2023ACLPruning Pre-trained Language Models Without Fine-Tuning.Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2023CIKMKnowledge Graph Error Detection with Hierarchical Path Structure.Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu
2023CIKMPriSHAP: Prior-guided Shapley Value Explanations for Correlated Features.Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang
2023ICDEA Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2023ICDMExploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling.Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
2023KDDRecruitPro: 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 Xiong
2023KDDModeling Dual Period-Varying Preferences for Takeaway Recommendation.Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023RecSysKnowledge-based Multiple Adaptive Spaces Fusion for Recommendation.Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong
2023WWWA Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat.Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li
2023WWWCAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation.Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng
2023SIGIRFrequency Enhanced Hybrid Attention Network for Sequential Recommendation.Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023SIGIRSeq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph.Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
2023SIGIREnsemble 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
2023SIGIRMatching Point of Interests and Travel Blog with Multi-view Information Fusion.Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou
2023SIGIRMeta-optimized Contrastive Learning for Sequential Recommendation.Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023SIGIRAttacking Pre-trained Recommendation.Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023SIGIRWeighted Knowledge Graph Embedding.Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
2023SIGIRFine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity.Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu
2023SDMHierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference.Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang
2022AAAIMind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement.Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2022CIKMModeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
2022CIKMAlong the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He
2022COLINGA Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis.Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He
2022DASFAAMulti-view Multi-behavior Contrastive Learning in Recommendation.Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022EMNLPPromptBERT: Improving BERT Sentence Embeddings with Prompts.Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang
2022EMNLPExploiting Global and Local Hierarchies for Hierarchical Text Classification.Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang
2022ICASSPImproving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework.Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang
2022ICDMExploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction.Yan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun
2022IJCAIPositive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion.Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022KDDA 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
2022WWWEvidenceNet: Evidence Fusion Network for Fact Verification.Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li
2022SIGIRUser-Centric Conversational Recommendation with Multi-Aspect User Modeling.Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022SIGIRSelective Fairness in Recommendation via Prompts.Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022SIGIRGeneralizing to the Future: Mitigating Entity Bias in Fake News Detection.Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
2022WSDMPersonalized Transfer of User Preferences for Cross-domain Recommendation.Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2021AAAILightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification.Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang
2021AAAICommunity-Aware Multi-Task Transportation Demand Prediction.Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
2021AAAIModeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection.Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2021AAAIModeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction.Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang
2021ACLIncorporating Global Information in Local Attention for Knowledge Representation Learning.Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu
2021CIKMAdversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT.Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He
2021CIKMLow-dimensional Alignment for Cross-Domain Recommendation.Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
2021DASFAATell Me Where to Go Next: Improving POI Recommendation via Conversation.Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng
2021DASFAAKnowledge-Aware Hypergraph Neural Network for Recommender Systems.Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng
2021ICMVJoint alignment and compactness learning for multi-source unsupervised domain adaptation.Yuhong Zhang, Mingxuan Du, Fuzhen Zhuang, Yuxi Jin, Yuhui Ma, Hongbo Zhang
2021ICONIPBFConv: Improving Convolutional Neural Networks with Butterfly Convolution.Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye
2021IJCAIAMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction.Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
2021KDDModeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising.Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
2021KDDDomain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021KDDTalent Demand Forecasting with Attentive Neural Sequential Model.Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong
2021KDDLearning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising.Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
2021WWWCost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong
2021SIGIRTransfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
2021SIGIRLearning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
2020AAAIRelational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion.Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
2020ACMLCCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow.Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
2020DASFAAVector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction.Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang
2020DASFAACross-Domain Recommendation with Adversarial Examples.Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2020DEXAThe Linear Geometry Structure of Label Matrix for Multi-label Learning.Tianzhu Chen, Fenghua Li, Fuzhen Zhuang, Yunchuan Guo, Liang Fang
2020ECAICapturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction.Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2020ICDMMeta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He
2020IJCAICollaborative Self-Attention Network for Session-based Recommendation.Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
2020KDDIntelligent Exploration for User Interface Modules of Mobile App with Collective Learning.Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong
2020WWWExploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation.Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2020WWWDomain Adaptation with Category Attention Network for Deep Sentiment Analysis.Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
2020WWWModeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection.Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
2020SIGIRNeural Hierarchical Factorization Machines for User's Event Sequence Analysis.Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
2019AAAIModelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification.Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
2019AAAIWhere to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2019AAAIAligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources.Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
2019ACMLSDC-causing Error Detection Based on Lightweight Vulnerability Prediction.Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang
2019ICDMIdentifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach.Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong
2019IJCAIGraph Contextualized Self-Attention Network for Session-based Recommendation.Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou
2019IJCAINeural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction.Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo
2019KDDDuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview.Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong
2019KDDThe Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
2019KDDMultiple Relational Attention Network for Multi-task Learning.Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong
2019PAKDDNeural Variational Collaborative Filtering for Top-K Recommendation.Xiaoyi Deng, Fuzhen Zhuang
2019PAKDDIntegrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias.Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu
2019PAKDDAdaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition.Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He
2019WWWPolicy Gradients for Contextual Recommendations.Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
2018AIEDAutomatic Chinese Short Answer Grading with Deep Autoencoder.Xi Yang, Yuwei Huang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu
2018CIKMMultiE: Multi-Task Embedding for Knowledge Base Completion.Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He
2018EMNLPKnowledge Graph Embedding with Hierarchical Relation Structure.Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He
2018ICDMA General Cross-Domain Recommendation Framework via Bayesian Neural Network.Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He
2018ICDMCross-Domain Labeled LDA for Cross-Domain Text Classification.Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
2018ICDMExploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation.Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong
2018ICDMAn Integrated Model for Crime Prediction Using Temporal and Spatial Factors.Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong
2018IJCAISequential Recommender System based on Hierarchical Attention Networks.Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
2018IJCAILabel-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning.Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
2018KDDExploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He
2018PAKDDAutomatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation.Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu
2018SIGIRAttention-driven Factor Model for Explainable Personalized Recommendation.Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He
2017CIKMLocal Ensemble across Multiple Sources for Collaborative Filtering.Jing Zheng, Fuzhen Zhuang, Chuan Shi
2017ICDEMining Precise-Positioning Episode Rules from Event Sequences.Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He
2017IJCAINonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
2017KSEMTransfer Learning with Manifold Regularized Convolutional Neural Network.Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He
2017WWWSequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2017WSDMRepresentation Learning with Pair-wise Constraints for Collaborative Ranking.Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He
2016CIKMEnsemble of Anchor Adapters for Transfer Learning.Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He
2016IJCAIOnline Bayesian Max-Margin Subspace Multi-View Learning.Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
2016IJCNNTag correlation and user social relation based microblog recommendation.Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang
2016PAKDDDual Similarity Regularization for Recommendation.Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu
2015AAAIBayesian Maximum Margin Principal Component Analysis.Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
2015CIKMCollaborating between Local and Global Learning for Distributed Online Multiple Tasks.Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He
2015CIKMHeterogeneous Multi-task Semantic Feature Learning for Classification.Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He
2015ICDEOnline Frequent Episode Mining.Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2015ICDMRepresentation Learning via Semi-Supervised Autoencoder for Multi-task Learning.Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He
2015IJCAISupervised Representation Learning: Transfer Learning with Deep Autoencoders.Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
2015IJCNNImproving ESVM with Generalized Cross-Validation.Tianshu Feng, Fuzhen Zhuang, Qing He
2015SDMFestival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing.Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang
2014CIKMMulti-task Multi-view Learning for Heterogeneous Tasks.Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He
2014ECAINonparametric Bayesian Multi-Task Large-margin Classification.Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He
2014ICDMRatable Aspects over Sentiments: Predicting Ratings for Unrated Reviews.Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi
2014PAKDDBalanced Seed Selection for Budgeted Influence Maximization in Social Networks.Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014WWWDiscovering and learning sensational episodes of news events.Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014SNPDScalable bootstrap clustering for massive data.Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi
2013APWEBA New Similarity Measure Based on Preference Sequences for Collaborative Filtering.Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi
2013IJCAIConcept Learning for Cross-Domain Text Classification: A General Probabilistic Framework.Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi
2013IJCNNExtreme Learning Machine combining matrix factorization for collaborative filtering.Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi
2013WSDMTriplex transfer learning: exploiting both shared and distinct concepts for text classification.Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi
2012ICDMMulti-task Semi-supervised Semantic Feature Learning for Classification.Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012ICMLAFast Time Series Classification Based on Infrequent Shapelets.Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2012ISNNParallel Decision Tree with Application to Water Quality Data Analysis.Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2012PAKDDQuad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification.Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2011CloudComParallel Outlier Detection Using KD-Tree Based on MapReduce.Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi
2011IJCAICombining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding.Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen
2010CIKMCollaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification.Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
2010ICDMD-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification.Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi
2010ISNNLocal Bayesian Based Rejection Method for HSC Ensemble.Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi
2010SDMExploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization.Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi
2008CIKMTransfer learning from multiple source domains via consensus regularization.Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He
2008ICNCThe Data Selection Criteria for HSC and SVM Algorithms.Qing He, Fuzhen Zhuang, Zhongzhi Shi