Shoujin Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 114

Top Venues

Publications

Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW (2024)
Liting Huang, Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Shoujin Wang
RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection. CoRR (2024)
Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR (2024)
Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
MSynFD: Multi-hop Syntax aware Fake News Detection. CoRR (2024)
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. Neurocomputing 592 (2024)
Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen
A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD (2024)
Wenmin Lin, Xiaochun Yin, Shoujin Wang, Mohammad Reza Khosravi
A Blockchain-enabled decentralized settlement model for IoT data exchange services. Wirel. Networks 30 (5) (2024)
Zheng Wu, Kehua Guo, Entao Luo, Tian Wang, Shoujin Wang, Yi Yang, Xiangyuan Zhu, Rui Ding
Medical long-tailed learning for imbalanced data: Bibliometric analysis. Comput. Methods Programs Biomed. 247 (2024)
Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR (2024)
Wenpeng Lu, Sibo Wei, Xueping Peng, Yi-Fei Wang, Usman Naseem, Shoujin Wang
Medical Question Summarization with Entity-driven Contrastive Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23 (4) (2024)
Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao
Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. ICASSP (2024)
Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
MSynFD: Multi-hop Syntax Aware Fake News Detection. WWW (2024)
Jiwei Huang, Bowen Ma, Ming Wang, Xiaokang Zhou, Lina Yao, Shoujin Wang, Lianyong Qi, Ying Chen
Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC. IEEE Trans. Consumer Electron. 70 (1) (2024)
Wenpeng Lu, Guobiao Zhang, Xueping Peng, Hongjiao Guan, Shoujin Wang
Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge. LREC/COLING (2024)
Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR (2024)
Yishuo Li, Zhufeng Shao, Weimin Chen, Shoujin Wang, Yuehan Du, Wenpeng Lu
Significance-aware Medication Recommendation with Medication Representation Learning. CSCWD (2024)
Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li
Session-based Interactive Recommendation via Deep Reinforcement Learning. ICDM (2023)
Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Xinxiao Qiao
Intention-Aware User Modeling for Personalized News Recommendation. DASFAA (2) (2023)
Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang, Shijian Li
Efficient Interactive Recommendation via Huffman Tree-based Policy Learning. AAMAS (2023)
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS (2023)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. RecSys (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. IEEE Trans. Cybern. 53 (11) (2023)
Yucheng Liu, Yonggang Huang, Shoujin Wang, Wenpeng Lu, Huiyan Wu
Modality Coupling for Privacy Image Classification. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin
A Counterfactual Collaborative Session-based Recommender System. CoRR (2023)
Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor Tsang
Causal Intervention for Abstractive Related Work Generation. CoRR (2023)
Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu
MbSRS: A multi-behavior streaming recommender system. Inf. Sci. 631 (2023)
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR (2023)
Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang
Causal Intervention for Abstractive Related Work Generation. EMNLP (Findings) (2023)
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW (2023)
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR (2023)
Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng
An empirical study of next-basket recommendations. CoRR (2023)
Shoujin Wang, Yan Wang, Fikret Sivrikaya, Sahin Albayrak, Vito Walter Anelli
Data science for next-generation recommender systems. Int. J. Data Sci. Anal. 16 (2) (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CIKM (2023)
Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. CoRR (2023)
Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Xiao Liu, Rui Bing, Shoujin Wang
All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures. ICONIP (14) (2023)
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR (2023)
Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu
Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. Neurocomputing 558 (2023)
Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. EMNLP (Findings) (2023)
Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang
WSDM 2023 Workshop on Interactive Recommender Systems. WSDM (2023)
Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin
A Counterfactual Collaborative Session-based Recommender System. WWW (2023)
Sibo Wei, Wenpeng Lu, Xueping Peng, Shoujin Wang, Yi-Fei Wang, Weiyu Zhang
Medical Question Summarization with Entity-driven Contrastive Learning. CoRR (2023)
Youhui Zuo, Wenpeng Lu, Xueping Peng, Shoujin Wang, Weiyu Zhang, Xinxiao Qiao
DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching. Comput. Electr. Eng. 106 (2023)
Pengyu Zhao, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Yonggang Huang
News Recommendation via Jointly Modeling Event Matching and Style Matching. ECML/PKDD (4) (2023)
Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem
Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. CoRR (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CoRR (2023)
Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR (2023)
Youhui Zuo, Xueping Peng, Wenpeng Lu, Shoujin Wang, Zhao Li, Weiyu Zhang, Yi Zhai
Chinese Sentence Matching with Multiple Alignments and Feature Augmentation. IJCNN (2022)
Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang
Rethinking Adjacent Dependency in Session-Based Recommendations. PAKDD (3) (2022)
Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher
Data Science and Artificial Intelligence for Responsible Recommendations. KDD (2022)
Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. CoRR (2022)
Baoshuo Kan, Wenpeng Lu, Xueping Peng, Shoujin Wang, Guobiao Zhang, Weiyu Zhang, Xinxiao Qiao
Word Sense Disambiguation Based on Memory Enhancement Mechanism. KSEM (2) (2022)
Shoujin Wang, Chenlu Yang, Tong Qu, Kai Yang, Wanggen Wan
Learning Users' Visual Preferences for Improving Recommendations. IEEE Access 10 (2022)
Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI (2022)
Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng
News Recommendation Via Multi-Interest News Sequence Modelling. ICASSP (2022)
Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci
Trustworthy Recommender Systems. CoRR (2022)
Yuwen Liu, Jie Zhang, Ruihan Dou, Xiaokang Zhou, Xiaolong Xu, Shoujin Wang, Lianyong Qi
Vehicle Check-In Data-driven POI Recommendation Based on Improved SVD and Graph Convolutional Network. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Pengyu Zhao, Wenpeng Lu, Shoujin Wang, Xueping Peng, Ping Jian, Hao Wu, Weiyu Zhang
Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching. World Wide Web 25 (4) (2022)
Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng
A Systematical Evaluation for Next-Basket Recommendation Algorithms. CoRR (2022)
Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. IJCAI (2022)
Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. CoRR (2022)
Yingsong Ning, Yifei Chen, Zixuan Xu, Wangran Ma, Shoujin Wang, Shiyu Zhao
The Control of intelligent building robot patrol technology based on Raspberry Pi. RICAI (2022)
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. SIGIR (2022)
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. CoRR (2022)
Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian
A Survey on Session-based Recommender Systems. ACM Comput. Surv. 54 (7) (2022)
Wenpeng Lu, Rongyao Wang, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang
Aspect-Driven User Preference and News Representation Learning for News Recommendation. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Wenpeng Lu, Pengyu Zhao, Yifeng Li, Shoujin Wang, Heyan Huang, Shumin Shi, Hao Wu
Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction. Appl. Soft Comput. 131 (2022)
Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. WWW (2022)
Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang
Rethinking Adjacent Dependency in Session-based Recommendations. CoRR (2022)
Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. ECML/PKDD (2) (2022)
Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng
A Systematical Evaluation for Next-Basket Recommendation Algorithms. DSAA (2022)
Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun
Exploiting intra- and inter-session dependencies for session-based recommendations. World Wide Web 25 (1) (2022)
Guobiao Zhang, Wenpeng Lu, Xueping Peng, Shoujin Wang, Baoshuo Kan, Rui Yu
Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension. COLING (2022)
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
Graph Learning based Recommender Systems: A Review. CoRR (2021)
Wenpeng Lu, Yuteng Zhang, Shoujin Wang, Heyan Huang, Qian Liu, Sheng Luo
Concept Representation by Learning Explicit and Implicit Concept Couplings. IEEE Intell. Syst. 36 (1) (2021)
Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang
Aspect-driven User Preference and News Representation Learning for News Recommendation. CoRR (2021)
Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong
A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response. Complex. 2021 (2021)
Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu
Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations. Appl. Intell. 51 (6) (2021)
Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang
Next-item Recommendations in Short Sessions. RecSys (2021)
Qianmu Li, Shunmei Meng, Xiaonan Sang, Hanrui Zhang, Shoujin Wang, Ali Kashif Bashir, Keping Yu, Usman Tariq
Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing. ACM Trans. Internet Techn. 21 (3) (2021)
Wei Guo, Shoujin Wang, Wenpeng Lu, Hao Wu, Qian Zhang, Zhufeng Shao
Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. DSAA (2021)
Lin Xiao, Yongsheng Zhang, Jianhua Dai, Qiuyue Zuo, Shoujin Wang
Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion. IEEE Trans. Ind. Informatics 17 (3) (2021)
Wenpeng Lu, Rui Yu, Shoujin Wang, Can Wang, Ping Jian, Heyan Huang
Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction. ACM Trans. Internet Techn. 21 (4) (2021)
Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. 36 (4) (2021)
Rui Yu, Wenpeng Lu, Huimin Lu, Shoujin Wang, Fangfang Li, Xu Zhang, Jiguo Yu
Sentence pair modeling based on semantic feature map for human interaction with IoT devices. Int. J. Mach. Learn. Cybern. 12 (11) (2021)
Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang
Next-item Recommendations in Short Sessions. CoRR (2021)
Tong Qu, Wanggen Wan, Shoujin Wang
Visual content-enhanced sequential recommendation with feature-level attention. Neurocomputing 443 (2021)
Ruoyu Zhang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Rui Yu, Yuan Gao
Chinese clinical named entity recognition based on stacked neural network. Concurr. Comput. Pract. Exp. 33 (22) (2021)
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
Graph Learning based Recommender Systems: A Review. IJCAI (2021)
Xiaolong Xu, Xihua Liu, Xiaochun Yin, Shoujin Wang, Quan Qi, Lianyong Qi
Privacy-aware offloading for training tasks of generative adversarial network in edge computing. Inf. Sci. 532 (2020)
Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI (2020)
Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
Graph Learning Approaches to Recommender Systems: A Review. CoRR (2020)
Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao
The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intell. Syst. 35 (5) (2020)
Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI (2020)
Xu Zhang, Wenpeng Lu, Guoqiang Zhang, Fangfang Li, Shoujin Wang
Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. PAKDD (2) (2020)
Lin Xiao, Jianhua Dai, Rongbo Lu, Shuai Li, Jichun Li, Shoujin Wang
Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization. IEEE Trans. Neural Networks Learn. Syst. 31 (12) (2020)
Qingfang Liu, Baosheng Kang, Keping Yu, Xin Qi, Jing Li, Shoujin Wang, Hong-An Li
Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems. IEEE Access 8 (2020)
Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR (2020)

Shoujin Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Shoujin Wang