Algorithm of arcs recognition based on bar tracking. - Yonghui Wang; Xiaoyu Song; Shoujin Wang (FSKD, 2010)

Design and implementation of villages and towns housing construction products intelligent service system. - Shoujin Wang; Xiaoyu Song; Yonghui Wang; Jingke Xu (BMEI, 2011)

Base state with amendments spatio-temporal data model on time-slot retrieval based on temporary base-state. - Yonghui Wang; Shoujin Wang; Xiaoyu Song (FSKD, 2011)

An Improved Base State with Amendments Spatio-Temporal Data Model. - Yonghui Wang; Xiaoyu Song; Shoujin Wang (J. Softw., 2012)

Training deep neural networks on imbalanced data sets. - Shoujin Wang; Wei Liu 007; Jia Wu 001; Longbing Cao; Qinxue Meng; Paul J. Kennedy (IJCNN, 2016)

Diversifying Personalized Recommendation with User-session Context. - Liang Hu 004; Longbing Cao; Shoujin Wang; Guandong Xu; Jian Cao 001; Zhiping Gu (IJCAI, 2017)

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. - Shoujin Wang; Liang Hu 004; Longbing Cao (ECML/PKDD (2), 2017)

Attention-Based Transactional Context Embedding for Next-Item Recommendation. - Shoujin Wang; Liang Hu 004; Longbing Cao; Xiaoshui Huang; Defu Lian; Wei Liu 007 (AAAI, 2018)

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (IJCAI, 2019)

Sequential Recommender Systems: Challenges, Progress and Prospects. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Longbing Cao; Quan Z. Sheng; Mehmet A. Orgun (IJCAI, 2019)

A Survey on Session-based Recommender Systems. - Shoujin Wang; Longbing Cao; Yan Wang 002 (CoRR, 2019)

Learning complex relations for session-based recommendations - Shoujin Wang (2019)

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (AAAI, 2020)

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (IJCAI, 2020)

Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. - Xu Zhang 053; Wenpeng Lu; Guoqiang Zhang 003; Fangfang Li; Shoujin Wang (PAKDD (2), 2020)

Modelling Local and Global Dependencies for Next-Item Recommendations. - Nan Wang 009; Shoujin Wang; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun (WISE (2), 2020)

Double-Wing Mixture of Experts for Streaming Recommendations. - Yan Zhao; Shoujin Wang; Yan Wang 002; Hongwei Liu 002; Weizhe Zhang (WISE (2), 2020)

Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems. - Qingfang Liu; Baosheng Kang; Keping Yu; Xin Qi 002; Jing Li 027; Shoujin Wang; Hong-An Li (IEEE Access, 2020)

Graph Learning Approaches to Recommender Systems: A Review. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Xiangnan He 001; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Nan Wang 009; Francesco Ricci 001; Philip S. Yu (CoRR, 2020)

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. - Shuchao Pang; Anan Du; Mehmet A. Orgun; Yan Wang 002; Quanzheng Sheng; Shoujin Wang; Xiaoshui Huang; Zhenmei Yu (CoRR, 2020)

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. - Shoujin Wang; Longbing Cao; Liang Hu 004; Shlomo Berkovsky; Xiaoshui Huang; Lin Xiao 002; Wenpeng Lu (CoRR, 2020)

The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. - Shoujin Wang; Gabriella Pasi; Liang Hu 004; Longbing Cao (IEEE Intell. Syst., 2020)

Privacy-aware offloading for training tasks of generative adversarial network in edge computing. - Xiaolong Xu 001; Xihua Liu; Xiaochun Yin; Shoujin Wang; Quan Qi; Lianyong Qi (Inf. Sci., 2020)

Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. - Lin Xiao 002; Jianhua Dai; Rongbo Lu; Shuai Li 002; Jichun Li 002; Shoujin Wang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. - Shoujin Wang; Longbing Cao (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. - Wei Guo; Shoujin Wang; Wenpeng Lu; Hao Wu 066; Qian Zhang 070; Zhufeng Shao (DSAA, 2021)

Graph Learning based Recommender Systems: A Review. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Xiangnan He 001; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Francesco Ricci 001; Philip S. Yu (IJCAI, 2021)

Next-item Recommendations in Short Sessions. - Wenzhuo Song; Shoujin Wang; Yan Wang 002; Shengsheng Wang 001 (RecSys, 2021)

Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations. - Yan Zhao; Shoujin Wang; Yan Wang 002; Hongwei Liu 002 (Appl. Intell., 2021)

A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response. - Xifeng Guo; Qiannan Zhao; Shoujin Wang; Dan Shan; Wei Gong (Complex., 2021)

Chinese clinical named entity recognition based on stacked neural network. - Ruoyu Zhang; Wenpeng Lu; Shoujin Wang; Xueping Peng; Rui Yu 005; Yuan Gao (Concurr. Comput. Pract. Exp., 2021)

Concept Representation by Learning Explicit and Implicit Concept Couplings. - Wenpeng Lu; Yuteng Zhang; Shoujin Wang; Heyan Huang; Qian Liu 012; Sheng Luo (IEEE Intell. Syst., 2021)

Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. - Shoujin Wang; Longbing Cao; Liang Hu 004; Shlomo Berkovsky; Xiaoshui Huang; Lin Xiao 002; Wenpeng Lu (IEEE Intell. Syst., 2021)

Visual content-enhanced sequential recommendation with feature-level attention. - Tong Qu; Wanggen Wan; Shoujin Wang (Neurocomputing, 2021)

Sentence pair modeling based on semantic feature map for human interaction with IoT devices. - Rui Yu 005; Wenpeng Lu; Huimin Lu 001; Shoujin Wang; Fangfang Li; Xu Zhang 053; Jiguo Yu (Int. J. Mach. Learn. Cybern., 2021)

Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion. - Lin Xiao 002; Yongsheng Zhang; Jianhua Dai; Qiuyue Zuo; Shoujin Wang (IEEE Trans. Ind. Informatics, 2021)

Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing. - Qianmu Li; Shunmei Meng; Xiaonan Sang; Hanrui Zhang 002; Shoujin Wang; Ali Kashif Bashir; Keping Yu; Usman Tariq (ACM Trans. Internet Techn., 2021)

Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction. - Wenpeng Lu; Rui Yu 005; Shoujin Wang; Can Wang 004; Ping Jian; Heyan Huang (ACM Trans. Internet Techn., 2021)

Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension. - Guobiao Zhang; Wenpeng Lu; Xueping Peng; Shoujin Wang; Baoshuo Kan; Rui Yu 005 (COLING, 2022)

A Systematical Evaluation for Next-Basket Recommendation Algorithms. - Zhufeng Shao; Shoujin Wang; Qian Zhang 070; Wenpeng Lu; Zhao Li; Xueping Peng (DSAA, 2022)

News Recommendation Via Multi-Interest News Sequence Modelling. - Rongyao Wang; Shoujin Wang; Wenpeng Lu; Xueping Peng (ICASSP, 2022)

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. - Qi Zhang 020; Liang Hu 004; Longbing Cao; Chongyang Shi 001; Shoujin Wang; Dora D. Liu (IJCAI, 2022)

Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. - Xiaolin Wang; Guohao Sun; Xiu Fang 001; Jian Yang 001; Shoujin Wang (IJCAI, 2022)

Chinese Sentence Matching with Multiple Alignments and Feature Augmentation. - Youhui Zuo; Xueping Peng; Wenpeng Lu; Shoujin Wang; Zhao Li; Weiyu Zhang 001; Yi Zhai (IJCNN, 2022)

Data Science and Artificial Intelligence for Responsible Recommendations. - Shoujin Wang; Ninghao Liu; Xiuzhen Zhang 001; Yan Wang 002; Francesco Ricci 001; Bamshad Mobasher (KDD, 2022)

Word Sense Disambiguation Based on Memory Enhancement Mechanism. - Baoshuo Kan; Wenpeng Lu; Xueping Peng; Shoujin Wang; Guobiao Zhang; Weiyu Zhang 001; Xinxiao Qiao (KSEM (2), 2022)

Rethinking Adjacent Dependency in Session-Based Recommendations. - Qian Zhang 070; Shoujin Wang; Wenpeng Lu; Chong Feng; Xueping Peng; Qingxiang Wang (PAKDD (3), 2022)

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. - Xinyu Jiang; Qi Zhang 020; Chongyang Shi 001; Kaiying Jiang; Liang Hu 004; Shoujin Wang (ECML/PKDD (2), 2022)

The Control of intelligent building robot patrol technology based on Raspberry Pi. - Yingsong Ning; Yifei Chen; Zixuan Xu; Wangran Ma; Shoujin Wang; Shiyu Zhao (RICAI, 2022)

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. - Shoujin Wang; Qi Zhang 020; Liang Hu 004; Xiuzhen Zhang 001; Yan Wang 002; Charu Aggarwal 001 (SIGIR, 2022)

Vehicle Check-In Data-driven POI Recommendation Based on Improved SVD and Graph Convolutional Network. - Yuwen Liu; Jie Zhang 053; Ruihan Dou; Xiaokang Zhou; Xiaolong Xu 001; Shoujin Wang; Lianyong Qi (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. - Shoujin Wang; Xiaofei Xu; Xiuzhen Zhang 001; Yan Wang 002; Wenzhuo Song (WWW, 2022)

Learning Users' Visual Preferences for Improving Recommendations. - Shoujin Wang; Chenlu Yang; Tong Qu; Kai Yang; Wanggen Wan (IEEE Access, 2022)

Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction. - Wenpeng Lu; Pengyu Zhao; Yifeng Li 001; Shoujin Wang; Heyan Huang; Shumin Shi; Hao Wu 066 (Appl. Soft Comput., 2022)

Trustworthy Recommender Systems. - Shoujin Wang; Xiuzhen Zhang 001; Yan Wang 002; Huan Liu 001; Francesco Ricci 001 (CoRR, 2022)

A Survey on Session-based Recommender Systems. - Shoujin Wang; Longbing Cao; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Defu Lian (ACM Comput. Surv., 2022)

Aspect-Driven User Preference and News Representation Learning for News Recommendation. - Wenpeng Lu; Rongyao Wang; Shoujin Wang; Xueping Peng; Hao Wu 066; Qian Zhang 070 (IEEE Trans. Intell. Transp. Syst., 2022)

Exploiting intra- and inter-session dependencies for session-based recommendations. - Nan Wang 009; Shoujin Wang; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun (World Wide Web, 2022)

Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching. - Pengyu Zhao; Wenpeng Lu; Shoujin Wang; Xueping Peng; Ping Jian; Hao Wu 066; Weiyu Zhang 001 (World Wide Web, 2022)

Efficient Interactive Recommendation via Huffman Tree-based Policy Learning. - Longxiang Shi; Zilin Zhang; Shoujin Wang; Binbin Zhou; Minghui Wu; Cheng Yang; Shijian Li (AAMAS, 2023)

Attention Calibration for Transformer-based Sequential Recommendation. - Peilin Zhou; Qichen Ye; Yueqi Xie; Jingqi Gao; Shoujin Wang; Jae Boum Kim; Chenyu You; Sunghun Kim 001 (CIKM, 2023)

Intention-Aware User Modeling for Personalized News Recommendation. - Rongyao Wang; Shoujin Wang; Wenpeng Lu; Xueping Peng; Weiyu Zhang 001; Chaoqun Zheng; Xinxiao Qiao (DASFAA (2), 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Liang Hu 004; Ivor W. Tsang (EMNLP (Findings), 2023)

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. - Chongyang Shi 001; Yijun Yin; Qi Zhang 020; Liang Xiao 010; Usman Naseem; Shoujin Wang; Liang Hu 004 (EMNLP (Findings), 2023)

Session-based Interactive Recommendation via Deep Reinforcement Learning. - Longxiang Shi; Zilin Zhang; Shoujin Wang; Qi Zhang; Minghui Wu; Cheng Yang; Shijian Li (ICDM, 2023)

All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures. - Zhuo Cai 002; Guan Yuan; Xiaobao Zhuang; Xiao Liu; Rui Bing; Shoujin Wang (ICONIP (14), 2023)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Shoujin Wang; Pengyang Wang; Hui He; Ning An 001; Defu Lian; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

News Recommendation via Jointly Modeling Event Matching and Style Matching. - Pengyu Zhao; Shoujin Wang; Wenpeng Lu; Xueping Peng; Weiyu Zhang 001; Chaoqun Zheng; Yonggang Huang (ECML/PKDD (4), 2023)

Equivariant Contrastive Learning for Sequential Recommendation. - Peilin Zhou; Jingqi Gao; Yueqi Xie; Qichen Ye; Yining Hua; Jaeboum Kim; Shoujin Wang; Sunghun Kim 001 (RecSys, 2023)

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (SIGIR, 2023)

WSDM 2023 Workshop on Interactive Recommender Systems. - Yong Liu 020; Hao Zhang 048; Zhu Sun 001; Shoujin Wang; Jie Zhang 002 (WSDM, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (WWW, 2023)

A Counterfactual Collaborative Session-based Recommender System. - Wenzhuo Song; Shoujin Wang; Yan Wang 002; Kunpeng Liu 001; Xueyan Liu 001; Minghao Yin (WWW, 2023)

A Counterfactual Collaborative Session-based Recommender System. - Wenzhuo Song; Shoujin Wang; Yan Wang 002; Kunpeng Liu 001; Xueyan Liu 002; Minghao Yin (CoRR, 2023)

Neural Time Series Analysis with Fourier Transform: A Survey. - Kun Yi 001; Qi Zhang 020; Shoujin Wang; Hui He; Guodong Long; Zhendong Niu (CoRR, 2023)

Medical Question Summarization with Entity-driven Contrastive Learning. - Sibo Wei; Wenpeng Lu; Xueping Peng; Shoujin Wang; Yi-Fei Wang; Weiyu Zhang 001 (CoRR, 2023)

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 004; Shoujin Wang; Usman Naseem (CoRR, 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Ivor W. Tsang (CoRR, 2023)

LLMRec: Benchmarking Large Language Models on Recommendation Task. - Junling Liu; Chao Liu 001; Peilin Zhou; Qichen Ye; Dading Chong; Kang Zhou; Yueqi Xie; Yuwei Cao; Shoujin Wang; Chenyu You; Philip S. Yu (CoRR, 2023)

An empirical study of next-basket recommendations. - Zhufeng Shao; Shoujin Wang; Qian Zhang 070; Wenpeng Lu; Zhao Li; Xueping Peng (CoRR, 2023)

MbSRS: A multi-behavior streaming recommender system. - Yan Zhao; Shoujin Wang; Yan Wang 002; Hongwei Liu 002 (Inf. Sci., 2023)

Modality Coupling for Privacy Image Classification. - Yucheng Liu; Yonggang Huang; Shoujin Wang; Wenpeng Lu; Huiyan Wu (IEEE Trans. Inf. Forensics Secur., 2023)

DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching. - Youhui Zuo; Wenpeng Lu; Xueping Peng; Shoujin Wang; Weiyu Zhang 001; Xinxiao Qiao (Comput. Electr. Eng., 2023)

Data science for next-generation recommender systems. - Shoujin Wang; Yan Wang 002; Fikret Sivrikaya; Sahin Albayrak; Vito Walter Anelli (Int. J. Data Sci. Anal., 2023)

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. - Simeng Bai; Qi Zhang 020; Hui He; Liang Hu 004; Shoujin Wang; Zhendong Niu (Neurocomputing, 2023)

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. - Shuchao Pang; Anan Du; Mehmet A. Orgun; Yan Wang 002; Quan Z. Sheng; Shoujin Wang; Xiaoshui Huang; Zhenmei Yu (IEEE Trans. Cybern., 2023)

Modeling User Demand Evolution for Next-Basket Prediction. - Shoujin Wang; Yan Wang 002; Liang Hu 004; Xiuzhen Zhang 001; Qi Zhang 020; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Defu Lian (IEEE Trans. Knowl. Data Eng., 2023)

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. - Jinzhi Shan; Qi Zhang 020; Chongyang Shi 001; Mengting Gui; Shoujin Wang; Usman Naseem (CIKM, 2024)

Time-Series Representation Learning via Dual Reference Contrasting. - Rui Yu 005; Yongshun Gong; Shoujin Wang; Jiasheng Si; Xueping Peng; Bing Xu; Wenpeng Lu (CIKM, 2024)

Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge. - Wenpeng Lu; Guobiao Zhang; Xueping Peng; Hongjiao Guan; Shoujin Wang (LREC/COLING, 2024)

Significance-aware Medication Recommendation with Medication Representation Learning. - Yishuo Li; Zhufeng Shao; Weimin Chen; Shoujin Wang; Yuehan Du; Wenpeng Lu (CSCWD, 2024)

UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. - Xuankai Yang; Yan Wang 002; Xiuzhen Zhang 001; Shoujin Wang; Huaxiong Wang; Kwok-Yan Lam (DSAA, 2024)

Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. - Zhufeng Shao; Shoujin Wang; Wenpeng Lu; Weiyu Zhang 001; Hongjiao Guan; Long Zhao 002 (ICASSP, 2024)

Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting. - Junxian Zhou; Shoujin Wang; Yuming Ou (IJCNN, 2024)

A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. - Shoujin Wang; Wentao Wang; Xiuzhen Zhang 001; Yan Wang 002; Huan Liu 001; Fang Chen 001 (KDD, 2024)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. - Zixuan Gong; Guangyin Bao; Qi Zhang 020; Zhongwei Wan; Duoqian Miao 001; Shoujin Wang; Lei Zhu 003; Changwei Wang 001; Rongtao Xu; Liang Hu 004; Ke Liu; Yu Zhang 133 (NeurIPS, 2024)

MSynFD: Multi-hop Syntax Aware Fake News Detection. - Liang Xiao 010; Qi Zhang 020; Chongyang Shi 001; Shoujin Wang; Usman Naseem; Liang Hu 004 (WWW, 2024)

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. - Peilin Zhou; You-Liang Huang; Yueqi Xie; Jingqi Gao; Shoujin Wang; Jae Boum Kim; Sunghun Kim 001 (WWW, 2024)

Medical long-tailed learning for imbalanced data: Bibliometric analysis. - Zheng Wu 004; Kehua Guo; Entao Luo; Tian Wang 001; Shoujin Wang; Yi Yang; Xiangyuan Zhu; Rui Ding 017 (Comput. Methods Programs Biomed., 2024)

Causal Learning for Trustworthy Recommender Systems: A Survey. - Jin Li 002; Shoujin Wang; Qi Zhang 020; Longbing Cao; Fang Chen 001; Xiuzhen Zhang 001; Dietmar Jannach; Charu C. Aggarwal (CoRR, 2024)

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. - Hui He; Qi Zhang 020; Kun Yi 001; Xiaojun Xue; Shoujin Wang; Liang Hu 004; Longbing Cao (CoRR, 2024)

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Shoujin Wang; Junaid Rashid; Liang Hu 004; Amir Hussain 001 (Neurocomputing, 2024)

Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC. - Jiwei Huang; Bowen Ma; Ming Wang; Xiaokang Zhou; Lina Yao 001; Shoujin Wang; Lianyong Qi; Ying Chen 010 (IEEE Trans. Consumer Electron., 2024)

Medical Question Summarization with Entity-driven Contrastive Learning. - Wenpeng Lu; Sibo Wei; Xueping Peng; Yi-Fei Wang; Usman Naseem; Shoujin Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. - Hui He; Qi Zhang 020; Shoujin Wang; Kun Yi 001; Zhendong Niu; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2024)

A Blockchain-enabled decentralized settlement model for IoT data exchange services. - Wenmin Lin; Xiaochun Yin; Shoujin Wang; Mohammad Reza Khosravi (Wirel. Networks, 2024)

Trustworthy Recommender Systems. - Shoujin Wang; Xiuzhen Zhang 001; Yan Wang 002; Francesco Ricci 001 (ACM Trans. Intell. Syst. Technol., 2024)

Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis. - Xiaotong Wu; Yan Ding; Xiaokang Zhou; Yanwei Xu; Shoujin Wang; Xiaolong Xu 001; Lianyong Qi (IEEE Trans. Fuzzy Syst., 2024)

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 008; Shoujin Wang; Usman Naseem (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-modal emotion recognition using tensor decomposition fusion and self-supervised multi-tasking. - Rui Wang 034; Jiawei Zhu; Shoujin Wang; Tao Wang 002; Jingze Huang; Xianxun Zhu (Int. J. Multim. Inf. Retr., 2024)

A Survey on Enhancing Causal Reasoning Ability of Large Language Models. - Xin Li; Zhuo Cai 003; Shoujin Wang; Kun Yu 001; Fang Chen 001 (PAKDD (4), 2025)

Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations. - Zhuo Cai 003; Shoujin Wang; Victor W. Chu; Usman Naseem; Yang Wang 002; Fang Chen 001 (SIGIR, 2025)

RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection. - Liting Huang; Zhihao Zhang; Yiran Zhang; Xiyue Zhou; Shoujin Wang (WWW (Companion Volume), 2025)

Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations. - Jin Li 002; Shoujin Wang; Qi Zhang 020; Shui Yu 001; Fang Chen 001 (WWW, 2025)

DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. - Usman Naseem; Liang Hu 008; Qi Zhang 020; Shoujin Wang; Shoaib Jameel (WWW, 2025)

A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection. - Xuankai Yang; Yan Wang 002; Xiuzhen Zhang 001; Shoujin Wang; Huaxiong Wang; Kwok-Yan Lam (WWW, 2025)

When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. - Peilin Zhou; Chao Liu 001; Jing Ren 010; Xinfeng Zhou; Yueqi Xie; Meng Cao 002; Zhongtao Rao; You-Liang Huang; Dading Chong; Junling Liu; Jae Boum Kim; Shoujin Wang; et al. (WWW, 2025)

Modeling information propagation for target user groups in online social networks based on guidance and incentive strategies. - Lei Meng 002; Guiqiong Xu; Chen Dong; Shoujin Wang (Inf. Sci., 2025)

Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation. - Li Wang 064; Shoujin Wang; Quangui Zhang; Qiang Wu 001; Min Xu 001 (IEEE Trans. Multim., 2025)

A Survey on Progress in LLM Alignment from the Perspective of Reward Design. - Miaomiao Ji; Yanqiu Wu 002; Zhibin Wu; Shoujin Wang; Jian Yang 001; Mark Dras; Usman Naseem (CoRR, 2025)