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Viewing Publication 1 - 100 from 268

2025

Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender SystemsYuanbo Xu, Fuzhen Zhuang, En Wang, Chaozhuo Li 0001, Jie Wu 0001. tkde, 37(2):754-765, February 2025. [doi]

2024

Event-Based Dynamic Graph Representation Learning for Patent Application Trend PredictionTao Zou 0003, Le Yu 0004, Leilei Sun, Bowen Du 0001, Deqing Wang, Fuzhen Zhuang. tkde, 36(5):1951-1963, May 2024. [doi]

Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational PerspectiveXiao Zhang 0015, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong 0001, Dongxiao Yu. tkde, 36(12):9136-9149, December 2024. [doi]

Multi-scale conditional reconstruction generative adversarial networkYanming Chen, Jiahao Xu, Zhulin An, Fuzhen Zhuang. ivc, 141:104885, January 2024. [doi]

A syntactic multi-level interaction network for rumor detectionZhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang. nca, 36(4):1713-1726, February 2024. [doi]

A syntactic evidence network model for fact verificationZhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang. NN, 178:106424, 2024. [doi]

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and BenchmarkingXi Chen, Chuan Qin 0002, Chuyu Fang, Chao Wang, Chen Zhu 0003, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong 0001. nips 2024: [doi]

Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment PredictionWei Chen, Yuxuan Liu, Zhao Zhang 0011, Fuzhen Zhuang, Jiang Zhong. AAAI 2024: 17781-17789 [doi]

FairGap: Fairness-Aware Recommendation via Generating Counterfactual GraphWei Chen, Yiqing Wu, Zhao Zhang 0011, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia 0006. tois, 42(4), July 2024. [doi]

Mining technology trends in scientific publications: a graph propagated neural topic modeling approachChenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong 0001. kais, 66(5):3085-3114, May 2024. [doi]

DKPE: Deep KeyPhrase ExpansionHuaming Du, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao 0019, Fuzhen Zhuang, Qing Li 0005. ijon, 572:127177, March 2024. [doi]

Representation Learning of Temporal Graphs with Structural RolesHuaming Du, Long Shi, Xingyan Chen, Yu Zhao 0019, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou. kdd 2024: 654-665 [doi]

Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link PredictionChenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang. WWW 2024: 979-982 [doi]

Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential ModelYanjie Gou, Yuanzhou Yao, Zhao Zhang 0011, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu. kdd 2024: 4986-4996 [doi]

A comprehensive survey of federated transfer learning: challenges, methods and applicationsWei Guo, Fuzhen Zhuang, Xiao Zhang 0015, Yiqi Tong, Jin Dong. fcsc, 18(6):186356, December 2024. [doi]

A General Strategy Graph Collaborative Filtering for Recommendation UnlearningYongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu 0001, Victor S. Sheng, Pengpeng Zhao. CIKM 2024: 799-808 [doi]

Meta-Optimized Joint Generative and Contrastive Learning for Sequential RecommendationYongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu 0001, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou 0001. icde 2024: 705-718 [doi]

Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative FilteringYongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao 0001, Guanfeng Liu 0001, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou 0001. icde 2024: 679-691 [doi]

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language ModelsFeihu Jiang, Chuan Qin 0002, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong 0001. dasfaa 2024: 273-290 [doi]

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential PredictionsGuanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun 0006, Weiqiang Wang, Deqing Wang. dasfaa 2024: 89-104 [doi]

Scaling Sentence Embeddings with Large Language ModelsTing Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang. emnlp 2024: 3182-3196 [doi]

TriMLP: A Foundational MLP-Like Architecture for Sequential RecommendationYiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li 0001, Fuzhen Zhuang, Hui Xiong 0001. tois, 42(6), November 2024. [doi]

Resource-Aware Federated Self-Supervised Learning with Global Class RepresentationsMingyi Li, Xiao Zhang 0015, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong 0001, Dongxiao Yu. nips 2024: [doi]

Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain GeneralizationYing Luo, Guoliang Kang, Kexin Liu, Fuzhen Zhuang, Jinhu Lü. tmm, 26:5872-5883, 2024. [doi]

Open-category referring expression comprehension via multi-modal knowledge transferWenyu Mi, Jianji Wang, Fuzhen Zhuang, Zhulin An, Wei Guo. ijon, 598:128063, 2024. [doi]

Intent Contrastive Learning with Cross Subsequences for Sequential RecommendationXiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu 0001, Fuzhen Zhuang, Victor S. Sheng. wsdm 2024: 548-556 [doi]

Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networksShaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao 0019, Qing Li 0005, Fuzhen Zhuang, Gang Kou. isci, 659:120081, February 2024. [doi]

DFGNN: Dual-frequency Graph Neural Network for Sign-aware FeedbackYiqing Wu, Ruobing Xie, Zhao Zhang 0011, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu. kdd 2024: 3437-3447 [doi]

Personalized Prompt for Sequential RecommendationYiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He 0003. tkde, 36(7):3376-3389, July 2024. [doi]

Exploring High-Order User Preference with Knowledge Graph for RecommendationCaijun Xu, Fuwei Zhang, Zhao Zhang 0011, Fuzhen Zhuang, Rui Liu 0007. CIKM 2024: 4138-4142 [doi]

Light POI-Guided Conversational Recommender System based on Adaptive SpaceMeng Yuan, Fuwei Zhang, Yiqi Tong, Yuxin Ying, Fuzhen Zhuang, Deqing Wang, Baoxing Huai, Yi Zhang, Jia Su. sdm 2024: 724-733 [doi]

Unified Dual-Intent Translation for Joint Modeling of Search and RecommendationYuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun 0006, Yongchun Zhu, Xiang Li 0067, Wei Lin 0022, Fuzhen Zhuang, Zhulin An, Yongjun Xu. kdd 2024: 6291-6300 [doi]

Triple Dual Learning for Opinion-based Explainable RecommendationYuting Zhang, Ying Sun 0006, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu. tois, 42(3), May 2024. [doi]

Multi-view Temporal Knowledge Graph ReasoningFuwei Zhang, Zhao Zhang 0011, Fuzhen Zhuang, Zhiqiang Zhang 0012, Jun Zhou 0011, Deqing Wang. CIKM 2024: 4263-4267 [doi]

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video RecommendationYuting Zhang, Zhao Zhang 0011, Yiqing Wu, Ying Sun 0006, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu. mm 2024: 5683-5691 [doi]

Temporal Knowledge Graph Reasoning With Dynamic Memory EnhancementFuwei Zhang, Zhao Zhang 0011, Fuzhen Zhuang, Yu Zhao 0019, Deqing Wang, Hongwei Zheng 0007. tkde, 36(11):7115-7128, November 2024. [doi]

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text ClassificationHuajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Sun Ying, Zhao Zhang 0011, Yiqi Tong, Yan Liu. WWW 2024: 774-777 [doi]

2023

Knowledge Graph Error Detection with Hierarchical Path StructureZhao Zhang 0011, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu. CIKM 2023: 4430-4434 [doi]

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement LearningZhao Zhang 0011, Fuzhen Zhuang, Hengshu Zhu, Chao Li 0028, Hui Xiong, Qing He 0003, Yongjun Xu. tkde, 35(4):4321-4334, April 2023. [doi]

Weighted Knowledge Graph EmbeddingZhao Zhang 0011, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu. sigir 2023: 867-877 [doi]

Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention NetworksYu Zhao 0019, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou. tkde, 35(9):9054-9066, September 2023. [doi]

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity TypingYu Zhao 0019, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang. tkde, 35(5):4608-4620, May 2023. [doi]

Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention NetworksYu Zhao 0019, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou. tkde, 35(8):8559-8571, August 2023. [doi]

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining PerspectiveHao Liu 0026, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong 0001. tkdd, 17(5), June 2023. [doi]

Effectively Modeling Sentence Interactions With Factorization Machines for Fact VerificationZhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang. expert, 38(5):18-27, September - October 2023. [doi]

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous GraphChenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong 0001. sigir 2023: 1721-1730 [doi]

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive ModelingChenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu. icdm 2023: 1453-1462 [doi]

Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationHanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu 0001, Lei Zhao 0001, Yanchi Liu, Victor S. Sheng. sigir 2023: 58-67 [doi]

Frequency Enhanced Hybrid Attention Network for Sequential RecommendationXinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu 0001, Yanchi Liu, Victor S. Sheng. sigir 2023: 78-88 [doi]

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent RecruitmentChuyu Fang, Chuan Qin 0002, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong. kdd 2023: 3991-4002 [doi]

A Survey on Knowledge Graph-Based Recommender Systems : Extended AbstractQingyu Guo, Fuzhen Zhuang, Chuan Qin 0002, Hengshu Zhu, Xing Xie 0001, Hui Xiong 0001, Qing He 0003. icde 2023: 3803-3804 [doi]

Pruning Pre-trained Language Models Without Fine-TuningTing Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia 0006. acl 2023: 594-605 [doi]

PriSHAP: Prior-guided Shapley Value Explanations for Correlated FeaturesGuanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang. CIKM 2023: 955-964 [doi]

Matching Point of Interests and Travel Blog with Multi-view Information FusionShuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou. sigir 2023: 2149-2153 [doi]

Topic-aware Intention Network for Explainable Recommendation with Knowledge EnhancementQiming Li, Zhao Zhang 0011, Fuzhen Zhuang, Yongjun Xu, Chao Li. tois, 41(4), October 2023. [doi]

Meta-optimized Contrastive Learning for Sequential RecommendationXiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu 0001, Yanchi Liu, Victor S. Sheng. sigir 2023: 89-98 [doi]

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural NetworksYing Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He 0003, Hui Xiong 0001. tkde, 35(3):2809-2822, March 2023. [doi]

Neural Multi-hop Logical Query Answering with Concept-Level AnswersZhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang 0001, Robert Hoehndorf. semweb 2023: 522-540 [doi]

Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational InferenceNingjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang. sdm 2023: 936-944 [doi]

Attacking Pre-trained RecommendationYiqing Wu, Ruobing Xie, Zhao Zhang 0011, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He 0003. sigir 2023: 1811-1815 [doi]

Time-Aware Context-Gated Graph Attention Network for Clinical Risk PredictionYuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang 0015, Deqing Wang, Jian Wu 0001, Hui Xiong 0001. tkde, 35(7):7557-7568, July 2023. [doi]

Online Knowledge Distillation via Mutual Contrastive Learning for Visual RecognitionChuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang 0009. pami, 45(8):10212-10227, August 2023. [doi]

CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in RecommendationYuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng. WWW 2023: 1396-1404 [doi]

FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity RecognitionHongzheng Yu, Zekai Chen, Xiao Zhang 0015, Xu Chen 0004, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng 0001. tmc, 22(6):3318-3332, June 2023. [doi]

Knowledge-based Multiple Adaptive Spaces Fusion for RecommendationMeng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong. recsys 2023: 565-575 [doi]

Modeling Dual Period-Varying Preferences for Takeaway RecommendationYuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu. kdd 2023: 5628-5638 [doi]

Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data SparsityXiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu. sigir 2023: 413-422 [doi]

Memory-Guided Multi-View Multi-Domain Fake News DetectionYongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang 0001, Fuzhen Zhuang. tkde, 35(7):7178-7191, July 2023. [doi]

Combat data shift in few-shot learning with knowledge graphYongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang 0001, Zhiyuan Qi, Zhi-Ping Shi 0002, Juan Cao, Qing He 0003. fcsc, 17(1):171305, 2023. [doi]

2022

EIGAT: Incorporating global information in local attention for knowledge representation learningYu Zhao 0019, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li. kbs, 237:107909, 2022. [doi]

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and BeyondHao Liu 0026, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong 0001. tkdd, 16(5), 2022. [doi]

EvidenceNet: Evidence Fusion Network for Fact VerificationZhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li. WWW 2022: 2636-2645 [doi]

Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow PredictionYan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun. icdm 2022: 891-896 [doi]

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment AnalysisWei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He. COLING 2022: 7013-7019 [doi]

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation PredictionHao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu 0007. CIKM 2022: 572-581 [doi]

Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing SystemsJingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong 0001. tkde, 34(2):640-652, 2022. [doi]

A Survey on Knowledge Graph-Based Recommender SystemsQingyu Guo, Fuzhen Zhuang, Chuan Qin 0002, Hengshu Zhu, Xing Xie 0001, Hui Xiong 0001, Qing He 0003. tkde, 34(8):3549-3568, 2022. [doi]

Exploiting Global and Local Hierarchies for Hierarchical Text ClassificationTing Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang. emnlp 2022: 4030-4039 [doi]

PromptBERT: Improving BERT Sentence Embeddings with PromptsTing Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang. emnlp 2022: 8826-8837 [doi]

User-Centric Conversational Recommendation with Multi-Aspect User ModelingShuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao 0001, Fuzhen Zhuang, Qing He 0003. sigir 2022: 223-233 [doi]

Customized Conversational Recommender SystemsShuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang 0011, Fuzhen Zhuang, Qing He 0003, Hui Xiong 0001. pkdd 2023: 740-756 [doi]

Self-Supervised learning for Conversational RecommendationShuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He 0003. ipm, 59(6):103067, 2022. [doi]

A Logic Aware Neural Generation Method for Explainable Data-to-textXiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang. kdd 2022: 3318-3326 [doi]

Knowledge-Aware Topological Networks for RecommendationJian Pan, Zhao Zhang 0011, Fuzhen Zhuang, Jingyuan Yang 0001, Zhiping Shi 0002. ccks 2022: 189-201 [doi]

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph CompletionZhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang 0001. IJCAI 2022: 2248-2254 [doi]

Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC FrameworkYiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang. icassp 2022: 8332-8336 [doi]

Improving biomedical named entity recognition by dynamic caching inter-sentence informationYiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao 0019, Deqing Wang, Hengshu Zhu, Bin Ni. bioinformatics, 38(16):3976-3983, 2022. [doi]

Adaptively sharing multi-levels of distributed representations in multi-task learningTianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang 0001, Leyu Lin, Feng Xia 0006, Lei He, Qing He 0003. isci, 591:226-234, 2022. [doi]

Selective Fairness in Recommendation via PromptsYiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao 0001, Xu Zhang, Leyu Lin, Qing He 0003. sigir 2022: 2657-2662 [doi]

Multi-view Multi-behavior Contrastive Learning in RecommendationYiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao 0001, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He 0003. dasfaa 2022: 166-182 [doi]

Detect Professional Malicious User With Metric Learning in Recommender SystemsYuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong 0001. tkde, 34(9):4133-4146, 2022. [doi]

Clustering-Enhanced Knowledge Graph EmbeddingFuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi 0002, Qing He 0003. bdccf 2022: 104-123 [doi]

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionFuwei Zhang, Zhao Zhang, Xiang Ao 0001, Fuzhen Zhuang, Yongjun Xu, Qing He 0003. CIKM 2022: 2529-2538 [doi]

HarMI: Human Activity Recognition Via Multi-Modality Incremental LearningXiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren. titb, 26(3):939-951, 2022. [doi]

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge EnhancementFuwei Zhang, Zhao Zhang, Xiang Ao 0001, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He 0003. AAAI 2022: 4345-4353 [doi]

An automatic short-answer grading model for semi-open-ended questionsLishan Zhang, Yuwei Huang, Xi Yang, Shengquan Yu, Fuzhen Zhuang. ile, 30(1):177-190, 2022. [doi]

Where to Go Next: A Spatio-Temporal Gated Network for Next POI RecommendationPengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu 0001, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou 0001. tkde, 34(5):2512-2524, 2022. [doi]

Personalized Transfer of User Preferences for Cross-domain RecommendationYongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He. wsdm 2022: 1507-1515 [doi]

Generalizing to the Future: Mitigating Entity Bias in Fake News DetectionYongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang. sigir 2022: 2120-2125 [doi]

2021

Deep Subdomain Adaptation Network for Image ClassificationYongchun Zhu, Fuzhen Zhuang, Jindong Wang 0001, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong 0001, Qing He 0003. tnn, 32(4):1713-1722, 2021. [doi]

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