Transfer learning from multiple source domains via consensus regularization. - Ping Luo 001; Fuzhen Zhuang; Hui Xiong 001; Yuhong Xiong; Qing He 003 (CIKM, 2008)

The Data Selection Criteria for HSC and SVM Algorithms. - Qing He 003; Fuzhen Zhuang; Zhongzhi Shi (ICNC (3), 2008)

Effectively Leveraging Entropy and Relevance for Summarization. - Wenjuan Luo; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (AIRS, 2010)

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi; Hui Xiong 001 (CIKM, 2010)

A noise handling method for hyper surface classification. - Tingting Li; Fuzhen Zhuang; Qing He 003 (FSKD, 2010)

D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi (ICDM, 2010)

Local Bayesian Based Rejection Method for HSC Ensemble. - Qing He 003; Wenjuan Luo; Fuzhen Zhuang; Zhongzhi Shi (ISNN (1), 2010)

Parallel Implementation of Classification Algorithms Based on MapReduce. - Qing He 003; Fuzhen Zhuang; Jincheng Li; Zhongzhi Shi (RSKT, 2010)

Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. - Fuzhen Zhuang; Ping Luo 001; Hui Xiong 001; Yuhong Xiong; Qing He 003; Zhongzhi Shi (IEEE Trans. Knowl. Data Eng., 2010)

Parallel Outlier Detection Using KD-Tree Based on MapReduce. - Qing He 003; Yunlong Ma; Qun Wang; Fuzhen Zhuang; Zhongzhi Shi (CloudCom, 2011)

Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. - Xudong Ma; Ping Luo 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi; Zhiyong Shen (IJCAI, 2011)

A parallel incremental extreme SVM classifier. - Qing He 003; Changying Du; Qun Wang; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2011)

Exploiting associations between word clusters and document classes for cross-domain text categorization. - Fuzhen Zhuang; Ping Luo 001; Hui Xiong 001; Qing He 003; Yuhong Xiong; Zhongzhi Shi (Stat. Anal. Data Min., 2011)

TINAC: A fast and effective web video topic detection framework. - Xiang Ao 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (FSKD, 2012)

Multi-task Semi-supervised Semantic Feature Learning for Classification. - Changying Du; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (ICDM, 2012)

Fast Time Series Classification Based on Infrequent Shapelets. - Qing He 003; Zhi Dong; Fuzhen Zhuang; Tianfeng Shang; Zhongzhi Shi (ICMLA (1), 2012)

PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. - Ning Li; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (IIP, 2012)

Improving Transfer Learning by Introspective Reasoner. - Zhongzhi Shi; Bo Zhang 003; Fuzhen Zhuang (IIP, 2012)

Effectively Constructing Reliable Data for Cross-Domain Text Classification. - Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (IIP, 2012)

Parallel Decision Tree with Application to Water Quality Data Analysis. - Qing He 003; Zhi Dong; Fuzhen Zhuang; Tianfeng Shang; Zhongzhi Shi (ISNN (2), 2012)

Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. - Wenjuan Luo; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (PAKDD (1), 2012)

Multi-view learning via probabilistic latent semantic analysis. - Fuzhen Zhuang; George Karypis; Xia Ning; Qing He 003; Zhongzhi Shi (Inf. Sci., 2012)

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2012)

Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2012)

A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. - Tianfeng Shang; Qing He 003; Fuzhen Zhuang; Zhongzhi Shi (APWeb, 2013)

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. - Fuzhen Zhuang; Ping Luo 001; Peifeng Yin; Qing He 003; Zhongzhi Shi (IJCAI, 2013)

Extreme Learning Machine combining matrix factorization for collaborative filtering. - Tianfeng Shang; Qing He 003; Fuzhen Zhuang; Zhongzhi Shi (IJCNN, 2013)

Shared Structure Learning for Multiple Tasks with Multiple Views. - Xin Jin 004; Fuzhen Zhuang; Shuhui Wang; Qing He 003; Zhongzhi Shi (ECML/PKDD (2), 2013)

Embedding with Autoencoder Regularization. - Wenchao Yu; Guangxiang Zeng; Ping Luo 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (ECML/PKDD (3), 2013)

Triplex transfer learning: exploiting both shared and distinct concepts for text classification. - Fuzhen Zhuang; Ping Luo 001; Changying Du; Qing He 003; Zhongzhi Shi (WSDM, 2013)

Particle swarm optimization using dimension selection methods. - Xin Jin 004; Yongquan Liang 001; Dongping Tian; Fuzhen Zhuang (Appl. Math. Comput., 2013)

Parallel extreme learning machine for regression based on MapReduce. - Qing He 003; Tianfeng Shang; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2013)

Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. - Wenjuan Luo; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (Knowl. Based Syst., 2013)

Multi-task Multi-view Learning for Heterogeneous Tasks. - Xin Jin 004; Fuzhen Zhuang; Hui Xiong 001; Changying Du; Ping Luo 001; Qing He 003 (CIKM, 2014)

Nonparametric Bayesian Multi-Task Large-margin Classification. - Changying Du; Jia He 001; Fuzhen Zhuang; Yuan Qi 001; Qing He 003 (ECAI, 2014)

Parallel feature selection using positive approximation based on MapReduce. - Qing He 003; Xiaohu Cheng; Fuzhen Zhuang; Zhongzhi Shi (FSKD, 2014)

Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. - Wenjuan Luo; Fuzhen Zhuang; Xiaohu Cheng; Qing He 003; Zhongzhi Shi (ICDM, 2014)

Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. - Shuo Han; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (PAKDD (1), 2014)

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. - Fuzhen Zhuang; Xiaohu Cheng; Sinno Jialin Pan; Wenchao Yu; Qing He 003; Zhongzhi Shi (ECML/PKDD (3), 2014)

Scalable bootstrap clustering for massive data. - Haocheng Wang; Fuzhen Zhuang; Xiang Ao 001; Qing He 003; Zhongzhi Shi (SNPD, 2014)

Discovering and learning sensational episodes of news events. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (WWW (Companion Volume), 2014)

Clustering in extreme learning machine feature space. - Qing He 003; Xin Jin 004; Changying Du; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2014)

Combining supervised and unsupervised models via unconstrained probabilistic embedding. - Xiang Ao 001; Ping Luo 001; Xudong Ma; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi; Zhiyong Shen (Inf. Sci., 2014)

Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. - Fuzhen Zhuang; Ping Luo 001; Changying Du; Qing He 003; Zhongzhi Shi; Hui Xiong 001 (IEEE Trans. Cybern., 2014)

Bayesian Maximum Margin Principal Component Analysis. - Changying Du; Shandian Zhe; Fuzhen Zhuang; Yuan Qi 001; Qing He 003; Zhongzhi Shi (AAAI, 2015)

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. - Xin Jin 004; Ping Luo 001; Fuzhen Zhuang; Jia He 001; Qing He 003 (CIKM, 2015)

Heterogeneous Multi-task Semantic Feature Learning for Classification. - Xin Jin 004; Fuzhen Zhuang; Sinno Jialin Pan; Changying Du; Ping Luo 001; Qing He 003 (CIKM, 2015)

Online Frequent Episode Mining. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (ICDE, 2015)

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. - Fuzhen Zhuang; Dan Luo; Xin Jin 004; Hui Xiong 001; Ping Luo 001; Qing He 003 (ICDM, 2015)

Supervised Representation Learning: Transfer Learning with Deep Autoencoders. - Fuzhen Zhuang; Xiaohu Cheng; Ping Luo 001; Sinno Jialin Pan; Qing He 003 (IJCAI, 2015)

Improving ESVM with Generalized Cross-Validation. - Tianshu Feng; Fuzhen Zhuang; Qing He 003 (IJCNN, 2015)

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. - Xinyu Wu; Ping Luo 001; Qing He 003; Tianshu Feng; Fuzhen Zhuang (SDM, 2015)

Parallel sampling from big data with uncertainty distribution. - Qing He 003; Haocheng Wang; Fuzhen Zhuang; Tianfeng Shang; Zhongzhi Shi (Fuzzy Sets Syst., 2015)

Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval. - Shuhui Wang; Fuzhen Zhuang; Shuqiang Jiang; Qingming Huang; Qi Tian 001 (Neurocomputing, 2015)

Learning deep representations via extreme learning machines. - Wenchao Yu; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (Neurocomputing, 2015)

QPLSA: Utilizing quad-tuples for aspect identification and rating. - Wenjuan Luo; Fuzhen Zhuang; Weizhong Zhao; Qing He 003; Zhongzhi Shi (Inf. Process. Manag., 2015)

Expenditure aware rating prediction for recommendation. - Chuan Shi 001; Bowei He; Menghao Zhang 002; Fuzhen Zhuang; Philip S. Yu; Naiwang Guo (IEEE BigData, 2016)

Ensemble of Anchor Adapters for Transfer Learning. - Fuzhen Zhuang; Ping Luo 001; Sinno Jialin Pan; Hui Xiong 001; Qing He 003 (CIKM, 2016)

Online Bayesian Max-Margin Subspace Multi-View Learning. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (IJCAI, 2016)

Tag correlation and user social relation based microblog recommendation. - Huifang Ma; Meihuizi Jia; Xianghong Lin; Fuzhen Zhuang (IJCNN, 2016)

Dual Similarity Regularization for Recommendation. - Jing Zheng; Jian Liu 001; Chuan Shi 001; Fuzhen Zhuang; Jingzhi Li 001; Bin Wu 001 (PAKDD (2), 2016)

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. - Changying Du; Fuzhen Zhuang; Jia He 001; Qing He 003; Guoping Long (ECML/PKDD (1), 2016)

Aspect Mining with Rating Bias. - Yitong Li; Chuan Shi 001; Huidong Zhao; Fuzhen Zhuang; Bin Wu 001 (ECML/PKDD (2), 2016)

RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density. - Yangli-ao Geng; Qingyong Li; Rong Zheng 001; Fuzhen Zhuang; Ruisi He (CoRR, 2016)

Expenditure Aware Rating Prediction for Recommendation. - Chuan Shi 001; Bowei He; Menghao Zhang 002; Fuzhen Zhuang; Philip S. Yu (CoRR, 2016)

Bag of little bootstraps on features for enhancing classification performance. - Haocheng Wang; Fuzhen Zhuang; Xin Jin 004; Xiang Ao 001; Qing He 003 (Intell. Data Anal., 2016)

Integrating heterogeneous information via flexible regularization framework for recommendation. - Chuan Shi 001; Jian Liu 001; Fuzhen Zhuang; Philip S. Yu; Bin Wu 001 (Knowl. Inf. Syst., 2016)

Local Ensemble across Multiple Sources for Collaborative Filtering. - Jing Zheng; Fuzhen Zhuang; Chuan Shi 001 (CIKM, 2017)

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. - Jia He 001; Changying Du; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (IJCAI, 2017)

Transfer Learning with Manifold Regularized Convolutional Neural Network. - Fuzhen Zhuang; Lang Huang 004; Jia He 001; Jixin Ma 001; Qing He 003 (KSEM, 2017)

Representation Learning with Pair-wise Constraints for Collaborative Ranking. - Fuzhen Zhuang; Dan Luo; Nicholas Jing Yuan; Xing Xie 001; Qing He 003 (WSDM, 2017)

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. - Fuzhen Zhuang; Yingmin Zhou; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003 (WWW (Companion Volume), 2017)

Recommendation in heterogeneous information network via dual similarity regularization. - Jing Zheng; Jian Liu 001; Chuan Shi 001; Fuzhen Zhuang; Jingzhi Li 001; Bin Wu 001 (Int. J. Data Sci. Anal., 2017)

Representation learning via Dual-Autoencoder for recommendation. - Fuzhen Zhuang; Zhiqiang Zhang 012; Mingda Qian; Chuan Shi 001; Xing Xie 001; Qing He 003 (Neural Networks, 2017)

Automatic Chinese Short Answer Grading with Deep Autoencoder. - Xi Yang; Yuwei Huang; Fuzhen Zhuang; Lishan Zhang; Shengquan Yu (AIED (2), 2018)

MultiE: Multi-Task Embedding for Knowledge Base Completion. - Zhao Zhang 011; Fuzhen Zhuang; Zheng-Yu Niu; Deqing Wang; Qing He 003 (CIKM, 2018)

Knowledge Graph Embedding with Hierarchical Relation Structure. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Fen Lin; Qing He 003 (EMNLP, 2018)

A General Cross-Domain Recommendation Framework via Bayesian Neural Network. - Jia He 001; Rui Liu 007; Fuzhen Zhuang; Fen Lin; Cheng Niu; Qing He 003 (ICDM, 2018)

Cross-Domain Labeled LDA for Cross-Domain Text Classification. - Baoyu Jing; Chenwei Lu; Deqing Wang; Fuzhen Zhuang; Cheng Niu (ICDM, 2018)

Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. - Yuanbo Xu; Yongjian Yang 001; Jiayu Han; En Wang; Fuzhen Zhuang; Hui Xiong 001 (ICDM, 2018)

An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. - Fei Yi; Zhiwen Yu 001; Fuzhen Zhuang; Xiao Zhang 015; Hui Xiong 001 (ICDM, 2018)

Sequential Recommender System based on Hierarchical Attention Networks. - Haochao Ying; Fuzhen Zhuang; Fuzheng Zhang; Yanchi Liu; Guandong Xu; Xing Xie 001; Hui Xiong 001; Jian Wu 001 (IJCAI, 2018)

Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. - Xiao Zhang 015; Wenzhong Li; Vu Nguyen 001; Fuzhen Zhuang; Hui Xiong 001; Sanglu Lu (IJCAI, 2018)

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. - Ying Sun 006; Hengshu Zhu; Fuzhen Zhuang; Jingjing Gu; Qing He 003 (KDD, 2018)

Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation. - Yuwei Huang; Xi Yang; Fuzhen Zhuang; Lishan Zhang; Shengquan Yu (PAKDD (1), 2018)

Attention-driven Factor Model for Explainable Personalized Recommendation. - Jingwu Chen; Fuzhen Zhuang; Xin Hong; Xiang Ao 001; Xing Xie 001; Qing He 003 (SIGIR, 2018)

Policy Gradients for Contextual Bandits. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (CoRR, 2018)

Cross-domain novelty seeking trait mining for sequential recommendation. - Fuzhen Zhuang; Yingmin Zhou; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003 (CoRR, 2018)

The Automatic Identification of Butterfly Species. - Juanying Xie; Qi Hou; Yinghuan Shi; Lv Peng; Liping Jing; Fuzhen Zhuang; Junping Zhang; Xiaoyang Tang; Shengquan Xu (CoRR, 2018)

Coupled matrix factorization and topic modeling for aspect mining. - Ding Xiao; Yugang Ji; Yitong Li; Fuzhen Zhuang; Chuan Shi 001 (Inf. Process. Manag., 2018)

Discovering and learning sensational episodes of news events. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2018)

RECOME: A new density-based clustering algorithm using relative KNN kernel density. - Yangli-ao Geng; Qingyong Li; Rong Zheng 001; Fuzhen Zhuang; Ruisi He; Naixue Xiong (Inf. Sci., 2018)

Self-organizing weighted incremental probabilistic latent semantic analysis. - Ning Li; Wenjuan Luo; Kun Yang; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (Int. J. Mach. Learn. Cybern., 2018)

Transfer collaborative filtering from multiple sources via consensus regularization. - Fuzhen Zhuang; Jing Zheng; Jingwu Chen; Xiangliang Zhang 001; Chuan Shi 001; Qing He 003 (Neural Networks, 2018)

Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. - Fuzhen Zhuang; Xuebing Li; Xin Jin 004; Dapeng Zhang; Lirong Qiu; Qing He 003 (IEEE Trans. Cybern., 2018)

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. - Fuzhen Zhuang; Xiaohu Cheng; Ping Luo 001; Sinno Jialin Pan; Qing He 003 (ACM Trans. Intell. Syst. Technol., 2018)

Mining Precise-Positioning Episode Rules from Event Sequences. - Xiang Ao 001; Ping Luo 001; Jin Wang 007; Fuzhen Zhuang; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2018)

Modelling 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 001; Qing He 003 (AAAI, 2019)

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. - Pengpeng Zhao 001; Haifeng Zhu; Yanchi Liu; Jiajie Xu 001; Zhixu Li; Fuzhen Zhuang; Victor S. Sheng; Xiaofang Zhou 001 (AAAI, 2019)

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. - Yongchun Zhu; Fuzhen Zhuang; Deqing Wang (AAAI, 2019)

SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. - Cheng Liu; Jingjing Gu; Zujia Yan; Fuzhen Zhuang; Yunyun Wang (ACML, 2019)

Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. - Yuyang Ye 002; Hengshu Zhu; Tong Xu 001; Fuzhen Zhuang; Runlong Yu; Hui Xiong 001 (ICDM, 2019)

Graph Contextualized Self-Attention Network for Session-based Recommendation. - Chengfeng Xu; Pengpeng Zhao 001; Yanchi Liu; Victor S. Sheng; Jiajie Xu 001; Fuzhen Zhuang; Junhua Fang; Xiaofang Zhou 001 (IJCAI, 2019)

Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. - Fei Yi; Zhiwen Yu 001; Fuzhen Zhuang; Bin Guo 001 (IJCAI, 2019)

DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. - Chuan Qin 002; Hengshu Zhu; Chen Zhu 003; Tong Xu 001; Fuzhen Zhuang; Chao Ma 022; Jingshuai Zhang; Hui Xiong 001 (KDD, 2019)

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Xin Song; Qing He 003; Hui Xiong 001 (KDD, 2019)

Multiple Relational Attention Network for Multi-task Learning. - Jiejie Zhao; Bowen Du 001; Leilei Sun; Fuzhen Zhuang; Weifeng Lv; Hui Xiong 001 (KDD, 2019)

Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach. - Xiao Zhang 015; Fuzhen Zhuang; Wenzhong Li; Haochao Ying; Hui Xiong 001; Sanglu Lu (ACM Multimedia, 2019)

Neural Variational Collaborative Filtering for Top-K Recommendation. - Xiaoyi Deng; Fuzhen Zhuang (PAKDD (Workshops), 2019)

Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. - Yugang Ji; Chuan Shi 001; Fuzhen Zhuang; Philip S. Yu (PAKDD (1), 2019)

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. - Yongchun Zhu; Fuzhen Zhuang; Jingyuan Yang 001; Xi Yang; Qing He 003 (PAKDD (1), 2019)

Policy Gradients for Contextual Recommendations. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (WWW, 2019)

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. - Jian Liu 001; Pengpeng Zhao 001; Yanchi Liu; Victor S. Sheng; Fuzhen Zhuang; Jiajie Xu 001; Xiaofang Zhou 001; Hui Xiong 001 (CoRR, 2019)

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. - Changying Du; Jia He 001; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (CoRR, 2019)

Transfer Learning Toolkit: Primers and Benchmarks. - Fuzhen Zhuang; Keyu Duan; Tongjia Guo; Yongchun Zhu; Dongbo Xi; Zhiyuan Qi; Qing He 003 (CoRR, 2019)

Bayesian dual neural networks for recommendation. - Jia He 001; Fuzhen Zhuang; Yanchi Liu; Qing He 003; Fen Lin (Frontiers Comput. Sci., 2019)

Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2019)

Knowledge triple mining via multi-task learning. - Zhao Zhang 011; Fuzhen Zhuang; Xuebing Li; Zheng-Yu Niu; Jia He 001; Qing He 003; Hui Xiong 001 (Inf. Syst., 2019)

Supervised representation learning for multi-label classification. - Ming Huang; Fuzhen Zhuang; Xiao Zhang 015; Xiang Ao 001; Zhengyu Niu; Min-Ling Zhang; Qing He 003 (Mach. Learn., 2019)

Neural variational collaborative filtering with side information for top-K recommendation. - Xiaoyi Deng; Fuzhen Zhuang; Zhiguo Zhu (Int. J. Mach. Learn. Cybern., 2019)

NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks. - Yuanbo Xu; Yongjian Yang 001; Jiayu Han; En Wang; Fuzhen Zhuang; Jingyuan Yang 001; Hui Xiong 001 (Neural Networks, 2019)

Multi-representation adaptation network for cross-domain image classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Jingwu Chen; Zhiping Shi 002; Wenjuan Wu; Qing He 003 (Neural Networks, 2019)

Grid-based DBSCAN: Indexing and inference. - Thapana Boonchoo; Xiang Ao 001; Yang Liu 200; Weizhong Zhao; Fuzhen Zhuang; Qing He 003 (Pattern Recognit., 2019)

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. - Zhao Zhang 011; Fuzhen Zhuang; Hengshu Zhu; Zhi-Ping Shi 002; Hui Xiong 001; Qing He 003 (AAAI, 2020)

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. - Jia He 001; Feiyang Pan; Fuzhen Zhuang; Qing He 003 (ACML, 2020)

Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. - Yanghong Wu; Pengpeng Zhao 001; Yanchi Liu; Victor S. Sheng; Junhua Fang; Fuzhen Zhuang (DASFAA (1), 2020)

Cross-Domain Recommendation with Adversarial Examples. - Haoran Yan; Pengpeng Zhao 001; Fuzhen Zhuang; Deqing Wang; Yanchi Liu; Victor S. Sheng (DASFAA (3), 2020)

The Linear Geometry Structure of Label Matrix for Multi-label Learning. - Tianzhu Chen; Fenghua Li; Fuzhen Zhuang; Yunchuan Guo; Liang Fang (DEXA (2), 2020)

Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. - Tianxin Wang; Jingwu Chen; Fuzhen Zhuang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (ECAI, 2020)

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. - Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Deqing Wang; Xiangliang Zhang 001; Qing He 003 (ICDM, 2020)

Collaborative Self-Attention Network for Session-based Recommendation. - Anjing Luo; Pengpeng Zhao 001; Yanchi Liu; Fuzhen Zhuang; Deqing Wang; Jiajie Xu 001; Junhua Fang; Victor S. Sheng (IJCAI, 2020)

Intelligent 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 001 (KDD, 2020)

Neural 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 003 (SIGIR, 2020)

Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. - Jian Liu 001; Pengpeng Zhao 001; Fuzhen Zhuang; Yanchi Liu; Victor S. Sheng; Jiajie Xu 001; Xiaofang Zhou 001; Hui Xiong 001 (WWW, 2020)

Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. - Dongbo Xi; Fuzhen Zhuang; Ganbin Zhou; Xiaohu Cheng; Fen Lin; Qing He 003 (WWW, 2020)

Modeling 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 003 (WWW, 2020)

Graph Factorization Machines for Cross-Domain Recommendation. - Dongbo Xi; Fuzhen Zhuang; Yongchun Zhu; Pengpeng Zhao 001; Xiangliang Zhang 001; Qing He 003 (CoRR, 2020)

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. - Denghui Zhang; Zixuan Yuan; Yanchi Liu; Zuohui Fu; Fuzhen Zhuang; Pengyang Wang; Haifeng Chen; Hui Xiong 001 (CoRR, 2020)

Dynamic Measurement and Data Calibration for Aerial Mobile IoT. - Jingjing Gu; Cheng Liu; Yi Zhuang 002; Xiaojiang Du; Fuzhen Zhuang; Haochao Ying; Yanchao Zhao; Mohsen Guizani (IEEE Internet Things J., 2020)

Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2020)

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. - Fuzhen Zhuang; Ying-Min Zhou; Haochao Ying; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003; Hui Xiong 001 (J. Comput. Sci. Technol., 2020)

Online Bayesian max-margin subspace learning for multi-view classification and regression. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (Mach. Learn., 2020)

Leveraging maximum entropy and correlation on latent factors for learning representations. - Zhicheng He 001; Jie Liu 007; Kai Dang; Fuzhen Zhuang; Yalou Huang (Neural Networks, 2020)

Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. - Dongbo Xi; Fuzhen Zhuang; Yanchi Liu; Hengshu Zhu; Pengpeng Zhao 001; Chang Tan; Qing He 003 (Neural Networks, 2020)

Softly Associative Transfer Learning for Cross-Domain Classification. - Deqing Wang; Chenwei Lu; Junjie Wu 002; Hongfu Liu 001; Wenjie Zhang; Fuzhen Zhuang; Hui Zhang 028 (IEEE Trans. Cybern., 2020)

Trust-embedded collaborative deep generative model for social recommendation. - Xiaoyi Deng; Yenchun Jim Wu; Fuzhen Zhuang (J. Supercomput., 2020)

Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback. - Yuanbo Xu; Yongjian Yang 001; En Wang; Jiayu Han; Fuzhen Zhuang; Zhiwen Yu 001; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2020)

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. - Jiayu Han; Lei Zheng 001; Yuanbo Xu; Bangzuo Zhang; Fuzhen Zhuang; Philip S. Yu; Wanli Zuo (IEEE Trans. Neural Networks Learn. Syst., 2020)

LightXML: 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 (AAAI, 2021)

Community-Aware Multi-Task Transportation Demand Prediction. - Hao Liu 026; Qiyu Wu 001; Fuzhen Zhuang; Xinjiang Lu; Dejing Dou; Hui Xiong 001 (AAAI, 2021)

Modeling 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 001; Qing He 003 (AAAI, 2021)

Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. - Qiang Zhou 007; Jingjing Gu; Xinjiang Lu; Fuzhen Zhuang; Yanchao Zhao; Qiuhong Wang; Xiao Zhang 015 (AAAI, 2021)

Incorporating Global Information in Local Attention for Knowledge Representation Learning. - Yu Zhao 019; Han Zhou 008; Ruobing Xie; Fuzhen Zhuang; Qing Li 005; Ji Liu 002 (ACL/IJCNLP (Findings), 2021)

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. - Runchuan Wang; Zhao Zhang 011; Fuzhen Zhuang; Dehong Gao; Yi Wei; Qing He 003 (CIKM, 2021)

Low-dimensional Alignment for Cross-Domain Recommendation. - Tianxin Wang; Fuzhen Zhuang; Zhiqiang Zhang 012; Daixin Wang; Jun Zhou 011; Qing He 003 (CIKM, 2021)

Tell Me Where to Go Next: Improving POI Recommendation via Conversation. - Changheng Li; Yongjing Hao; Pengpeng Zhao 001; Fuzhen Zhuang; Yanchi Liu; Victor S. Sheng (DASFAA (3), 2021)

Knowledge-Aware Hypergraph Neural Network for Recommender Systems. - Binghao Liu; Pengpeng Zhao 001; Fuzhen Zhuang; Xuefeng Xian; Yanchi Liu; Victor S. Sheng (DASFAA (3), 2021)

Joint alignment and compactness learning for multi-source unsupervised domain adaptation. - Yuhong Zhang; Mingxuan Du; Fuzhen Zhuang; Yuxi Jin; Yuhui Ma; Hongbo Zhang (ICMV, 2021)

BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. - Dengjie Yang; Xuehui Yu; Yi Sun 004; Fuzhen Zhuang; Qing He 003; Shiwei Ye (ICONIP (4), 2021)

AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. - Hao Chen; Fuzhen Zhuang; Li Xiao 005; Ling Ma 005; Haiyan Liu; Ruifang Zhang; Huiqin Jiang; Qing He 003 (IJCAI, 2021)

Modeling 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 (KDD, 2021)

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. - Denghui Zhang; Zixuan Yuan; Yanchi Liu; Hao Liu 026; Fuzhen Zhuang; Hui Xiong 001; Haifeng Chen (KDD, 2021)

Talent Demand Forecasting with Attentive Neural Sequential Model. - Qi Zhang 053; Hengshu Zhu; Ying Sun 006; Hao Liu 026; Fuzhen Zhuang; Hui Xiong 001 (KDD, 2021)

Learning 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 028; Leyu Lin; Juan Cao 001 (KDD, 2021)

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. - Ying Sun 006; Hengshu Zhu; Chuan Qin 002; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (NeurIPS, 2021)

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. - Yuanxin Zhuang; Chuan Shi 001; Cheng Yang 002; Fuzhen Zhuang; Yangqiu Song (ECML/PKDD (2), 2021)

An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. - Zhipeng Zhang; Li Xiao 005; Fuzhen Zhuang; Ling Ma 005; Yuan Chang; Yuanyuan Wang; Huiqin Jiang; Qing He 003 (PRCV (4), 2021)

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. - Yongchun Zhu; Kaikai Ge; Fuzhen Zhuang; Ruobing Xie; Dongbo Xi; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2021)

Learning 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 006; Xu Zhang 028; Leyu Lin; Juan Cao 001 (SIGIR, 2021)

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Qing He 003; Hui Xiong 001 (WWW, 2021)

Combat Data Shift in Few-shot Learning with Knowledge Graph. - Yongchun Zhu; Fuzhen Zhuang; Xiangliang Zhang 001; Zhiyuan Qi; Zhiping Shi 002; Qing He 003 (CoRR, 2021)

Improving Non-autoregressive Generation with Mixup Training. - Ting Jiang; Shaohan Huang; Zihan Zhang; Deqing Wang; Fuzhen Zhuang; Furu Wei; Haizhen Huang; Liangjie Zhang; Qi Zhang 066 (CoRR, 2021)

Deep Keyphrase Completion. - Yu Zhao 019; Jia Song 003; Huali Feng; Fuzhen Zhuang; Qing Li 005; Xiaojie Wang; Ji Liu 002 (CoRR, 2021)

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. - Denghui Zhang; Zixuan Yuan; Yanchi Liu; Hao Liu 026; Fuzhen Zhuang; Hui Xiong 001; Haifeng Chen (CoRR, 2021)

Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. - Yu Zhao 019; Shaopeng Wei 002; Huaming Du; Xingyan Chen; Qing Li 005; Fuzhen Zhuang; Ji Liu 002; Gang Kou (CoRR, 2021)

Long- and short-term self-attention network for sequential recommendation. - Chengfeng Xu; Jian Feng; Pengpeng Zhao 001; Fuzhen Zhuang; Deqing Wang; Yanchi Liu; Victor S. Sheng (Neurocomputing, 2021)

A semi-supervised deep convolutional framework for signet ring cell detection. - Haochao Ying; Qingyu Song 004; Jintai Chen; Tingting Liang; Jingjing Gu; Fuzhen Zhuang; Danny Z. Chen; Jian Wu 001 (Neurocomputing, 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 (Inf. Process. Manag., 2021)

Knowledge graph embedding with shared latent semantic units. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Zheng-Yu Niu; Hui Xiong 001; Qing He 003 (Neural Networks, 2021)

A Comprehensive Survey on Transfer Learning. - Fuzhen Zhuang; Zhiyuan Qi; Keyu Duan; Dongbo Xi; Yongchun Zhu; Hengshu Zhu; Hui Xiong 001; Qing He 003 (Proc. IEEE, 2021)

Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. - Jingwu Chen; Fuzhen Zhuang; Tianxin Wang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2021)

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. - Deqing Wang; Baoyu Jing; Chenwei Lu; Junjie Wu 002; Guannan Liu; Chenguang Du; Fuzhen Zhuang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Subdomain Adaptation Network for Image Classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Guolin Ke; Jingwu Chen; Jiang Bian 002; Hui Xiong 001; Qing He 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Dehong Gao; Fuzhen Zhuang; Yi Wei; Qing He 003 (AAAI, 2022)

Clustering-Enhanced Knowledge Graph Embedding. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Jingjing Gu; Zhiping Shi 002; Qing He 003 (Big Data (CCF), 2022)

Knowledge-Aware Topological Networks for Recommendation. - Jian Pan; Zhao Zhang 011; Fuzhen Zhuang; Jingyuan Yang 001; Zhiping Shi 002 (CCKS, 2022)

Modeling 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 007 (CIKM, 2022)

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Fuzhen Zhuang; Yongjun Xu 001; Qing He 003 (CIKM, 2022)

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. - Wei Chen 061; Jinglong Du; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He (COLING, 2022)

Multi-view Multi-behavior Contrastive Learning in Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Xin Chen 091; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Qing He 003 (DASFAA (2), 2022)

PromptBERT: Improving BERT Sentence Embeddings with Prompts. - Ting Jiang; Jian Jiao 007; Shaohan Huang; Zihan Zhang; Deqing Wang; Fuzhen Zhuang; Furu Wei; Haizhen Huang; Denvy Deng; Qi Zhang 066 (EMNLP, 2022)

Exploiting Global and Local Hierarchies for Hierarchical Text Classification. - Ting Jiang; Deqing Wang; Leilei Sun; Zhongzhi Chen; Fuzhen Zhuang; Qinghong Yang (EMNLP, 2022)

Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. - Yiqi Tong; Fuzhen Zhuang; Deqing Wang; Haochao Ying; Binling Wang (ICASSP, 2022)

Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. - Yan Chen; Jingjing Gu; Fuzhen Zhuang; Xinjiang Lu; Ming Sun (ICDM, 2022)

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. - Zhenwei Tang; Shichao Pei; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Robert Hoehndorf; Xiangliang Zhang 001 (IJCAI, 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 (KDD, 2022)

Customized Conversational Recommender Systems. - Shuokai Li; Yongchun Zhu; Ruobing Xie; Zhenwei Tang; Zhao Zhang 011; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ECML/PKDD (2), 2022)

User-Centric Conversational Recommendation with Multi-Aspect User Modeling. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Fuzhen Zhuang; Qing He 003 (SIGIR, 2022)

Selective Fairness in Recommendation via Prompts. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xiang Ao 001; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2022)

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. - Yongchun Zhu; Qiang Sheng 001; Juan Cao 001; Shuokai Li; Danding Wang; Fuzhen Zhuang (SIGIR, 2022)

Personalized Transfer of User Preferences for Cross-domain Recommendation. - Yongchun Zhu; Zhenwei Tang; Yudan Liu; Fuzhen Zhuang; Ruobing Xie; Xu Zhang 028; Leyu Lin; Qing He 003 (WSDM, 2022)

EvidenceNet: Evidence Fusion Network for Fact Verification. - Zhendong Chen; Siu Cheung Hui; Fuzhen Zhuang; Lejian Liao; Fei Li 037; Meihuizi Jia; Jiaqi Li (WWW, 2022)

Improving biomedical named entity recognition by dynamic caching inter-sentence information. - Yiqi Tong; Fuzhen Zhuang; Huajie Zhang; Chuyu Fang; Yu Zhao 019; Deqing Wang; Hengshu Zhu; Bin Ni (Bioinform., 2022)

PromptBERT: Improving BERT Sentence Embeddings with Prompts. - Ting Jiang; Shaohan Huang; Zihan Zhang; Deqing Wang; Fuzhen Zhuang; Furu Wei; Haizhen Huang; Liangjie Zhang; Qi Zhang 066 (CoRR, 2022)

Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. - Yu Zhao 019; Huaming Du; Ying Liu; Shaopeng Wei 002; Xingyan Chen; Fuzhen Zhuang; Qing Li 005; Ji Liu 002; Gang Kou (CoRR, 2022)

Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. - Yu Zhao 019; Shaopeng Wei 002; Yu Guo; Qing Yang; Qing Li 005; Fuzhen Zhuang; Ji Liu 002; Gang Kou (CoRR, 2022)

Personalized Prompts for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (CoRR, 2022)

Joint Abductive and Inductive Neural Logical Reasoning. - Zhenwei Tang; Shichao Pei; Xi Peng; Fuzhen Zhuang; Xiangliang Zhang 001; Robert Hoehndorf (CoRR, 2022)

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs. - Ziming Wan; Deqing Wang; Xuehua Ming; Fuzhen Zhuang; Chenguang Du; Ting Jiang; Zhengyang Zhao (CoRR, 2022)

An automatic short-answer grading model for semi-open-ended questions. - Lishan Zhang; Yuwei Huang; Xi Yang; Shengquan Yu; Fuzhen Zhuang (Interact. Learn. Environ., 2022)

Self-Supervised learning for Conversational Recommendation. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Zhenwei Tang; Wayne Xin Zhao; Qing He 003 (Inf. Process. Manag., 2022)

Adaptively sharing multi-levels of distributed representations in multi-task learning. - Tianxin Wang; Fuzhen Zhuang; Ying Sun 006; Xiangliang Zhang 001; Leyu Lin; Feng Xia 006; Lei He; Qing He 003 (Inf. Sci., 2022)

EIGAT: Incorporating global information in local attention for knowledge representation learning. - Yu Zhao 019; Huali Feng; Han Zhou 008; Yanruo Yang; Xingyan Chen; Ruobing Xie; Fuzhen Zhuang; Qing Li 005 (Knowl. Based Syst., 2022)

HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning. - Xiao Zhang 015; Hongzheng Yu; Yang Yang 129; Jingjing Gu; Yujun Li; Fuzhen Zhuang; Dongxiao Yu; Zhaochun Ren (IEEE J. Biomed. Health Informatics, 2022)

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. - Hao Liu 026; Qingyu Guo; Hengshu Zhu; Fuzhen Zhuang; Shenwen Yang; Dejing Dou; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2022)

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. - Jingjing Gu; Qiang Zhou 007; Jingyuan Yang 001; Yanchi Liu; Fuzhen Zhuang; Yanchao Zhao; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Survey on Knowledge Graph-Based Recommender Systems. - Qingyu Guo; Fuzhen Zhuang; Chuan Qin 002; Hengshu Zhu; Xing Xie 001; Hui Xiong 001; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2022)

Detect Professional Malicious User With Metric Learning in Recommender Systems. - Yuanbo Xu; Yongjian Yang 001; En Wang; Fuzhen Zhuang; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. - Pengpeng Zhao 001; Anjing Luo; Yanchi Liu; Jiajie Xu 001; Zhixu Li; Fuzhen Zhuang; Victor S. Sheng; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2022)

Pruning Pre-trained Language Models Without Fine-Tuning. - Ting Jiang; Deqing Wang; Fuzhen Zhuang; Ruobing Xie; Feng Xia 006 (ACL (1), 2023)

Knowledge Graph Error Detection with Hierarchical Path Structure. - Zhao Zhang 011; Fuwei Zhang; Fuzhen Zhuang; Yongjun Xu 001 (CIKM, 2023)

PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. - Guanyu Jiang; Fuzhen Zhuang; Bowen Song; Tianyi Zhang; Deqing Wang (CIKM, 2023)

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. - Qingyu Guo; Fuzhen Zhuang; Chuan Qin 002; Hengshu Zhu; Xing Xie 001; Hui Xiong 001; Qing He 003 (ICDE, 2023)

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. - Chenguang Du; Deqing Wang; Fuzhen Zhuang; Hengshu Zhu (ICDM (Workshops), 2023)

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. - Chuyu Fang; Chuan Qin 002; Qi Zhang 053; Kaichun Yao; Jingshuai Zhang; Hengshu Zhu; Fuzhen Zhuang; Hui Xiong 001 (KDD, 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 022; Zhulin An; Yongjun Xu 001 (KDD, 2023)

Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. - Meng Yuan; Fuzhen Zhuang; Zhao Zhang 011; Deqing Wang; Jin Dong (RecSys, 2023)

Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. - Ningjing Wang; Deqing Wang; Ting Jiang; Chenguang Du; Chuyu Fang; Fuzhen Zhuang (SDM, 2023)

Neural Multi-hop Logical Query Answering with Concept-Level Answers. - Zhenwei Tang; Shichao Pei; Xi Peng; Fuzhen Zhuang; Xiangliang Zhang 001; Robert Hoehndorf (ISWC, 2023)

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. - Xinyu Du; Huanhuan Yuan; Pengpeng Zhao 001; Jianfeng Qu; Fuzhen Zhuang; Guanfeng Liu 001; Yanchi Liu; Victor S. Sheng (SIGIR, 2023)

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. - Chenguang Du; Kaichun Yao; Hengshu Zhu; Deqing Wang; Fuzhen Zhuang; Hui Xiong 001 (SIGIR, 2023)

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. - Hanwen Du; Huanhuan Yuan; Pengpeng Zhao 001; Fuzhen Zhuang; Guanfeng Liu 001; Lei Zhao 001; Yanchi Liu; Victor S. Sheng (SIGIR, 2023)

Matching Point of Interests and Travel Blog with Multi-view Information Fusion. - Shuokai Li; Jingbo Zhou; Jizhou Huang; Hao Chen; Fuzhen Zhuang; Qing He 003; Dejing Dou (SIGIR, 2023)

Meta-optimized Contrastive Learning for Sequential Recommendation. - Xiuyuan Qin; Huanhuan Yuan; Pengpeng Zhao 001; Junhua Fang; Fuzhen Zhuang; Guanfeng Liu 001; Yanchi Liu; Victor S. Sheng (SIGIR, 2023)

Attacking Pre-trained Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Jie Zhou 016; Yongjun Xu 001; Qing He 003 (SIGIR, 2023)

Weighted Knowledge Graph Embedding. - Zhao Zhang 011; Zhanpeng Guan; Fuwei Zhang; Fuzhen Zhuang; Zhulin An; Fei Wang 014; Yongjun Xu 001 (SIGIR, 2023)

Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. - Xiao Zhang 015; Ziming Ye; Jianfeng Lu 002; Fuzhen Zhuang; Yanwei Zheng; Dongxiao Yu (SIGIR, 2023)

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. - Yuanzhou Yao; Zhao Zhang 011; Kaijia Yang; Huasheng Liang; Qiang Yan 001; Fuzhen Zhuang; Yongjun Xu 001; Boyu Diao; Chao Li 028 (WWW (Companion Volume), 2023)

CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. - Yuxin Ying; Fuzhen Zhuang; Yongchun Zhu; Deqing Wang; Hongwei Zheng 007 (WWW, 2023)

A Survey on Causal Inference for Recommendation. - Huishi Luo; Fuzhen Zhuang; Ruobing Xie; Hengshu Zhu; Deqing Wang (CoRR, 2023)

Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. - Xinyu Du; Huanhuan Yuan; Pengpeng Zhao 001; Fuzhen Zhuang; Guanfeng Liu 001; Yanchi Liu (CoRR, 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 016; Zhulin An; Yongjun Xu 001 (CoRR, 2023)

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. - Tao Zou 003; Le Yu 004; Leilei Sun; Bowen Du 001; Deqing Wang; Fuzhen Zhuang (CoRR, 2023)

DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops. - Hangtong Xu; Yuanbo Xu; Yongjian Yang 001; Fuzhen Zhuang; Hui Xiong 001 (CoRR, 2023)

Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification. - Zhendong Chen; Fuzhen Zhuang; Lejian Liao; Meihuizi Jia; Jiaqi Li; Heyan Huang (IEEE Intell. Syst., 2023)

Combat data shift in few-shot learning with knowledge graph. - Yongchun Zhu; Fuzhen Zhuang; Xiangliang Zhang 001; Zhiyuan Qi; Zhi-Ping Shi 002; Juan Cao 001; Qing He 003 (Frontiers Comput. Sci., 2023)

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Xin Song; Qing He 003; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. - Zhao Zhang 011; Fuzhen Zhuang; Hengshu Zhu; Chao Li 028; Hui Xiong 001; Qing He 003; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. - Yu Zhao 019; Han Zhou 008; Anxiang Zhang; Ruobing Xie; Qing Li 005; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2023)

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. - Hao Liu 026; Qingyu Guo; Hengshu Zhu; Yanjie Fu; Fuzhen Zhuang; Xiaojuan Ma; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2023)

FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. - Hongzheng Yu; Zekai Chen; Xiao Zhang 015; Xu Chen 004; Fuzhen Zhuang; Hui Xiong 001; Xiuzhen Cheng 001 (IEEE Trans. Mob. Comput., 2023)

Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. - Yuyang Xu; Haochao Ying; Siyi Qian; Fuzhen Zhuang; Xiao Zhang 015; Deqing Wang; Jian Wu 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Memory-Guided Multi-View Multi-Domain Fake News Detection. - Yongchun Zhu; Qiang Sheng 001; Juan Cao 001; Qiong Nan; Kai Shu; Minghui Wu 001; Jindong Wang 001; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2023)

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. - Chuanguang Yang; Zhulin An; Helong Zhou; Fuzhen Zhuang; Yongjun Xu 001; Qian Zhang 009 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. - Yu Zhao 019; Huaming Du; Ying Liu; Shaopeng Wei 002; Xingyan Chen; Fuzhen Zhuang; Qing Li 005; Gang Kou (IEEE Trans. Knowl. Data Eng., 2023)

Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. - Yu Zhao 019; Shaopeng Wei 002; Huaming Du; Xingyan Chen; Qing Li 005; Fuzhen Zhuang; Ji Liu 002; Gang Kou (IEEE Trans. Knowl. Data Eng., 2023)

Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. - Qiming Li; Zhao Zhang 011; Fuzhen Zhuang; Yongjun Xu 001; Chao Li 028 (ACM Trans. Inf. Syst., 2023)

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. - Wei Chen 061; Yuxuan Liu; Zhao Zhang 011; Fuzhen Zhuang; Jiang Zhong (AAAI, 2024)

A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. - Yongjing Hao; Fuzhen Zhuang; Deqing Wang; Guanfeng Liu 001; Victor S. Sheng; Pengpeng Zhao 001 (CIKM, 2024)

Exploring High-Order User Preference with Knowledge Graph for Recommendation. - Caijun Xu; Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Rui Liu 007 (CIKM, 2024)

Multi-view Temporal Knowledge Graph Reasoning. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Zhiqiang Zhang 012; Jun Zhou 011; Deqing Wang (CIKM, 2024)

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. - Feihu Jiang; Chuan Qin 002; Kaichun Yao; Chuyu Fang; Fuzhen Zhuang; Hengshu Zhu; Hui Xiong 001 (DASFAA (4), 2024)

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. - Guanyu Jiang; Fuzhen Zhuang; Bowen Song; Yongchun Zhu; Ying Sun 006; Weiqiang Wang; Deqing Wang (DASFAA (4), 2024)

Scaling Sentence Embeddings with Large Language Models. - Ting Jiang; Shaohan Huang; Zhongzhi Luan; Deqing Wang; Fuzhen Zhuang (EMNLP (Findings), 2024)

Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. - Yongjing Hao; Pengpeng Zhao 001; Junhua Fang; Jianfeng Qu; Guanfeng Liu 001; Fuzhen Zhuang; Victor S. Sheng; Xiaofang Zhou 001 (ICDE, 2024)

Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. - Yongjing Hao; Pengpeng Zhao 001; Jianfeng Qu; Lei Zhao 001; Guanfeng Liu 001; Fuzhen Zhuang; Victor S. Sheng; Xiaofang Zhou 001 (ICDE, 2024)

Representation Learning of Temporal Graphs with Structural Roles. - Huaming Du; Long Shi 002; Xingyan Chen; Yu Zhao 019; Hegui Zhang; Carl Yang 001; Fuzhen Zhuang; Gang Kou (KDD, 2024)

Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. - Yanjie Gou; Yuanzhou Yao; Zhao Zhang 011; Yiqing Wu; Yi Hu; Fuzhen Zhuang; Jiangming Liu; Yongjun Xu 001 (KDD, 2024)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (KDD, 2024)

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. - Yuting Zhang; Yiqing Wu; Ruidong Han; Ying Sun 006; Yongchun Zhu; Xiang Li 067; Wei Lin 022; Fuzhen Zhuang; Zhulin An; Yongjun Xu 001 (KDD, 2024)

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. - Yuting Zhang; Zhao Zhang 011; Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Wenhui Yu; Lantao Hu; Han Li 005; Kun Gai; Zhulin An; Yongjun Xu 001 (ACM Multimedia, 2024)

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. - Xi Chen 073; Chuan Qin 002; Chuyu Fang; Chao Wang 086; Chen Zhu 003; Fuzhen Zhuang; Hengshu Zhu; Hui Xiong 001 (NeurIPS, 2024)

Resource-Aware Federated Self-Supervised Learning with Global Class Representations. - Mingyi Li; Xiao Zhang 015; Qi Wang; Tengfei Liu; Ruofan Wu; Weiqiang Wang 002; Fuzhen Zhuang; Hui Xiong 001; Dongxiao Yu (NeurIPS, 2024)

Light 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 (SDM, 2024)

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. - Xiuyuan Qin; Huanhuan Yuan; Pengpeng Zhao 001; Guanfeng Liu 001; Fuzhen Zhuang; Victor S. Sheng (WSDM, 2024)

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. - Chenguang Du; Hao Geng; Deqing Wang; Fuzhen Zhuang; Zhiqiang Zhang 012; Lanshan Zhang (WWW (Companion Volume), 2024)

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. - Huajie Zhang; Yuxin Ying; Fuzhen Zhuang; Haiqin Weng; Ying Sun 006; Zhao Zhang 011; Yiqi Tong; Yan Liu 069 (WWW (Companion Volume), 2024)

Improving Domain Adaptation through Extended-Text Reading Comprehension. - Ting Jiang; Shaohan Huang; Shengyue Luo; Zihan Zhang; Haizhen Huang; Furu Wei; Weiwei Deng; Feng Sun 008; Qi Zhang 066; Deqing Wang; Fuzhen Zhuang (CoRR, 2024)

Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework. - Dongbo Xi; Zhen Chen; Yuexian Wang; He Cui; Chong Peng; Fuzhen Zhuang; Peng Yan (CoRR, 2024)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (CoRR, 2024)

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning. - Ting Jiang; Shaohan Huang; Shengyue Luo; Zihan Zhang; Haizhen Huang; Furu Wei; Weiwei Deng; Feng Sun 008; Qi Zhang 066; Deqing Wang; Fuzhen Zhuang (CoRR, 2024)

Graph Dimension Attention Networks for Enterprise Credit Assessment. - Shaopeng Wei 002; Beni Egressy; Xingyan Chen; Yu Zhao 019; Fuzhen Zhuang; Roger Wattenhofer; Gang Kou (CoRR, 2024)

E5-V: Universal Embeddings with Multimodal Large Language Models. - Ting Jiang; Minghui Song; Zihan Zhang; Haizhen Huang; Weiwei Deng; Feng Sun 008; Qi Zhang 066; Deqing Wang; Fuzhen Zhuang (CoRR, 2024)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. - Wei Chen 061; Guo Ye; Yakun Wang 001; Zhao Zhang 011; Libang Zhang; Daxin Wang; Zhiqiang Zhang 012; Fuzhen Zhuang (CoRR, 2024)

Open-category referring expression comprehension via multi-modal knowledge transfer. - Wenyu Mi; Jianji Wang 001; Fuzhen Zhuang; Zhulin An; Wei Guo (Neurocomputing, 2024)

A syntactic evidence network model for fact verification. - Zhendong Chen; Siu Cheung Hui; Fuzhen Zhuang; Lejian Liao; Meihuizi Jia; Jiaqi Li; Heyan Huang (Neural Networks, 2024)

Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization. - Ying Luo; Guoliang Kang; Kexin Liu; Fuzhen Zhuang; Jinhu Lü (IEEE Trans. Multim., 2024)

Multi-scale conditional reconstruction generative adversarial network. - Yanming Chen 002; Jiahao Xu; Zhulin An; Fuzhen Zhuang (Image Vis. Comput., 2024)

Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. - Shaopeng Wei 002; Jia Lv; Yu Guo; Qing Yang; Xingyan Chen; Yu Zhao 019; Qing Li 005; Fuzhen Zhuang; Gang Kou (Inf. Sci., 2024)

A syntactic multi-level interaction network for rumor detection. - Zhendong Chen; Fuzhen Zhuang; Lejian Liao; Meihuizi Jia; Jiaqi Li; Heyan Huang (Neural Comput. Appl., 2024)

DKPE: Deep KeyPhrase Expansion. - Huaming Du; Zhilong Xie; Jia Song 003; Yaoxing Yuan; Jiacan Li; Xingyan Chen; Huangen Chen; Yu Zhao 019; Fuzhen Zhuang; Qing Li 005 (Neurocomputing, 2024)

Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. - Chenguang Du; Kaichun Yao; Hengshu Zhu; Deqing Wang; Fuzhen Zhuang; Hui Xiong 001 (Knowl. Inf. Syst., 2024)

Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. - Tao Zou 003; Le Yu 004; Leilei Sun; Bowen Du 001; Deqing Wang; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2024)

Triple Dual Learning for Opinion-based Explainable Recommendation. - Yuting Zhang; Ying Sun 006; Fuzhen Zhuang; Yongchun Zhu; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2024)

Personalized Prompt for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2024)

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. - Wei Chen 061; Yiqing Wu; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He; Ruobing Xie; Feng Xia 006 (ACM Trans. Inf. Syst., 2024)

Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Yu Zhao 019; Deqing Wang; Hongwei Zheng 007 (IEEE Trans. Knowl. Data Eng., 2024)

TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation. - Yiheng Jiang; Yuanbo Xu; Yongjian Yang 001; Funing Yang; Pengyang Wang; Chaozhuo Li; Fuzhen Zhuang; Hui Xiong 001 (ACM Trans. Inf. Syst., 2024)

A comprehensive survey of federated transfer learning: challenges, methods and applications. - Wei Guo; Fuzhen Zhuang; Xiao Zhang 015; Yiqi Tong; Jin Dong (Frontiers Comput. Sci., 2024)

Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. - Xiao Zhang 015; Shuqing Xu; Huashan Chen; Zekai Chen; Fuzhen Zhuang; Hui Xiong 001; Dongxiao Yu (IEEE Trans. Knowl. Data Eng., 2024)

Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. - Wei Chen 061; Guo Ye; Yakun Wang 001; Zhao Zhang 011; Libang Zhang; Daixin Wang; Zhiqiang Zhang 012; Fuzhen Zhuang (AAAI, 2025)

Mixed-Curvature Multi-Modal Knowledge Graph Completion. - Yuxiao Gao; Fuwei Zhang; Zhao Zhang 011; Xiaoshuang Min; Fuzhen Zhuang (AAAI, 2025)

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. - Huishi Luo; Yiwen Chen; Yiqing Wu; Fuzhen Zhuang; Deqing Wang (AAAI, 2025)

Multi-level Relevance Document Identifier Learning for Generative Retrieval. - Fuwei Zhang; Xiaoyu Liu; Xinyu Jia; Yingfei Zhang; Shuai Zhang; Xiang Li 067; Fuzhen Zhuang; Wei Lin; Zhao Zhang 011 (ACL (1), 2025)

CDC: Causal Domain Clustering for Multi-Domain Recommendation. - Huishi Luo; Yiqing Wu; Yiwen Chen; Fuzhen Zhuang; Deqing Wang (SIGIR, 2025)

Whitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction. - Xiaoyu Liu; Yiqing Wu; Dingyuan Zhu; Yifan Wu; Daixin Wang; Xiaobo Qin; Fuzhen Zhuang (WWW (Companion Volume), 2025)

Hyperbolic Diffusion Recommender Model. - Meng Yuan; Yutian Xiao; Wei Chen 061; Chou Zhao; Deqing Wang; Fuzhen Zhuang (WWW, 2025)

COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning. - Chuan Qin 002; Chuyu Fang; Kaichun Yao; Xi Chen 073; Fuzhen Zhuang; Hengshu Zhu (ACM Trans. Manag. Inf. Syst., 2025)

A Progressively-Passing-Then-Disentangling Approach to Recipe Recommendation. - Chunlai Dong; Haochao Ying; Renjun Hu; Yuyang Xu; Jintai Chen; Fuzhen Zhuang; Jian Wu 001 (IEEE Trans. Multim., 2025)

Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. - Yuanbo Xu; Fuzhen Zhuang; En Wang; Chaozhuo Li; Jie Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Identifying Evidence Subgraphs for Financial Risk Detection via Graph Counterfactual and Factual Reasoning. - Huaming Du; Lei Yuan; Qing Yang; Xingyan Chen; Yu Zhao 019; Han Ji; Fuzhen Zhuang; Carl Yang 001; Gang Kou (CoRR, 2025)

Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment. - Wei Chen 061; Han Ding; Meng Yuan; Zhao Zhang 011; Deqing Wang; Fuzhen Zhuang (CoRR, 2025)

Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning. - Ying Sun 006; Yang Ji 004; Hengshu Zhu; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ACM Trans. Inf. Syst., 2025)

Hyperbolic Diffusion Recommender Model. - Meng Yuan; Yutian Xiao; Wei Chen 061; Chu Zhao; Deqing Wang; Fuzhen Zhuang (CoRR, 2025)

TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data. - Qi Wang; Xiao Zhang 015; Mingyi Li; Yuan Yuan 014; Mengbai Xiao; Fuzhen Zhuang; Dongxiao Yu (CoRR, 2025)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. - Yi Wen 001; Yue Liu 008; Derong Xu; Huishi Luo; Pengyue Jia; Yiqing Wu; Siwei Wang 001; Ke Liang 006; Maolin Wang 001; Yiqi Wang 001; Fuzhen Zhuang; Xiangyu Zhao 001 (CoRR, 2025)

FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis. - Wei Chen 061; Zhao Zhang 011; Meng Yuan; Kepeng Xu; Fuzhen Zhuang (CoRR, 2025)

AgriCHN: A Comprehensive Cross-domain Resource for Chinese Agricultural Named Entity Recognition. - Lingxiao Zeng; Yiqi Tong; Wei Guo; Huarui Wu; Lihao Ge; Yijun Ye; Fuzhen Zhuang; Deqing Wang; Wei Guo; Cheng Chen (CoRR, 2025)

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation. - Weilun Feng; Chuanguang Yang; Haotong Qin; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Boyu Diao; Fuzhen Zhuang; Michele Magno; Yongjun Xu 001; Yingli Tian; et al. (CoRR, 2025)

Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data. - Wei Guo; Yiyang Duan; Zhaojun Hu; Yiqi Tong; Fuzhen Zhuang; Xiao Zhang 015; Jin Dong; Ruofan Wu; Tengfei Liu; Yifan Sun (CoRR, 2025)

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity. - Wei Guo; Siyuan Lu; Yiqi Tong; Zhaojun Hu; Fuzhen Zhuang; Xiao Zhang 015; Tao Fan; Jin Dong (CoRR, 2025)

HEK-CL: Hierarchical Enhanced Knowledge-Aware Contrastive Learning for Recommendation. - Meng Yuan; Zhao Zhang 011; Wei Chen 061; Chu Zhao; Tong Cai; Deqing Wang; Rui Liu 007; Fuzhen Zhuang (ACM Trans. Inf. Syst., 2025)

AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. - Zhanpeng Guan; Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Fei Wang 014; Zhulin An; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2025)

FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. - Wei Chen 061; Meng Yuan; Zhao Zhang 011; Ruobing Xie; Fuzhen Zhuang; Deqing Wang; Rui Liu 007 (IEEE Trans. Knowl. Data Eng., 2025)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2025)