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2020 – today
- 2024
[j39]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: 108106 (2024)- [j38]Rui Wang, Jiawei Zhu, Shoujin Wang, Tao Wang, Jingze Huang, Xianxun Zhu:
Multi-modal emotion recognition using tensor decomposition fusion and self-supervised multi-tasking. Int. J. Multim. Inf. Retr. 13(4): 39 (2024) - [j37]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: 127736 (2024) - [j36]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): 56 (2024) - [j35]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): 2596-2607 (2024) - [j34]Xiaotong Wu, Yan Ding, Xiaokang Zhou, Yanwei Xu, Shoujin Wang, Xiaolong Xu, Lianyong Qi:
Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis. IEEE Trans. Fuzzy Syst. 32(10): 5493-5507 (2024) - [j33]Shoujin Wang, Xiuzhen Zhang, Yan Wang, Francesco Ricci:
Trustworthy Recommender Systems. ACM Trans. Intell. Syst. Technol. 15(4): 84:1-84:20 (2024) - [j32]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): 2504-2516 (2024) - [j31]Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem:
Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14112-14124 (2024) - [j30]Wenmin Lin, Xiaochun Yin, Shoujin Wang, Mohammad Reza Khosravi:
A Blockchain-enabled decentralized settlement model for IoT data exchange services. Wirel. Networks 30(5): 3453-3467 (2024) - [c56]Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem:
Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. CIKM 2024: 2014-2023 - [c55]Rui Yu, Yongshun Gong, Shoujin Wang, Jiasheng Si, Xueping Peng, Bing Xu, Wenpeng Lu:
Time-Series Representation Learning via Dual Reference Contrasting. CIKM 2024: 3042-3051 - [c54]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: 11148-11158 - [c53]Yishuo Li, Zhufeng Shao, Weimin Chen, Shoujin Wang, Yuehan Du, Wenpeng Lu:
Significance-aware Medication Recommendation with Medication Representation Learning. CSCWD 2024: 1633-1638 - [c52]Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam:
UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. DSAA 2024: 1-10 - [c51]Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao:
Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. ICASSP 2024: 6575-6579 - [c50]Junxian Zhou, Shoujin Wang, Yuming Ou:
Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting. IJCNN 2024: 1-8 - [c49]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: 3200-3211 - [c48]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: 3854-3863 - [c47]Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu:
MSynFD: Multi-hop Syntax Aware Fake News Detection. WWW 2024: 4128-4137 - [i33]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 abs/2402.08241 (2024) - [i32]Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu:
MSynFD: Multi-hop Syntax aware Fake News Detection. CoRR abs/2402.14834 (2024) - [i31]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 abs/2403.11136 (2024) - [i30]Liting Huang, Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Shoujin Wang:
RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection. CoRR abs/2406.04906 (2024) - [i29]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 abs/2407.13194 (2024) - [i28]Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem:
Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. CoRR abs/2408.12852 (2024) - [i27]Li Wang, Shoujin Wang, Quangui Zhang, Qiang Wu, Min Xu:
Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2408.14689 (2024) - 2023
- [j29]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: 108574 (2023) - [j28]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): 135-145 (2023) - [j27]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: 126701 (2023) - [j26]Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu:
MbSRS: A multi-behavior streaming recommender system. Inf. Sci. 631: 145-163 (2023) - [j25]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): 6776-6787 (2023) - [j24]Yucheng Liu, Yonggang Huang, Shoujin Wang, Wenpeng Lu, Huiyan Wu:
Modality Coupling for Privacy Image Classification. IEEE Trans. Inf. Forensics Secur. 18: 4843-4853 (2023) - [j23]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): 11585-11598 (2023) - [c46]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: 1495-1503 - [c45]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: 3595-3605 - [c44]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: 179-194 - [c43]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: 2148-2159 - [c42]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: 11807-11816 - [c41]Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li:
Session-based Interactive Recommendation via Deep Reinforcement Learning. ICDM 2023: 1319-1324 - [c40]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: 244-257 - [c39]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 - [c38]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: 404-419 - [c37]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. RecSys 2023: 129-140 - [c36]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR 2023: 99-109 - [c35]Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang:
WSDM 2023 Workshop on Interactive Recommender Systems. WSDM 2023: 1275-1276 - [c34]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: 648-658 - [c33]Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin:
A Counterfactual Collaborative Session-based Recommender System. WWW 2023: 971-982 - [c32]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW 2023: 1252-1263 - [i26]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 abs/2301.11535 (2023) - [i25]Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin:
A Counterfactual Collaborative Session-based Recommender System. CoRR abs/2301.13364 (2023) - [i24]Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu:
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR abs/2302.02173 (2023) - [i23]Sibo Wei, Wenpeng Lu, Xueping Peng, Shoujin Wang, Yi-Fei Wang, Weiyu Zhang:
Medical Question Summarization with Entity-driven Contrastive Learning. CoRR abs/2304.07437 (2023) - [i22]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 abs/2304.13895 (2023) - [i21]Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor W. Tsang:
Causal Intervention for Abstractive Related Work Generation. CoRR abs/2305.13685 (2023) - [i20]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 abs/2308.09419 (2023) - [i19]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 abs/2308.12241 (2023) - [i18]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 abs/2311.06184 (2023) - [i17]Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng:
An empirical study of next-basket recommendations. CoRR abs/2312.02550 (2023) - 2022
- [j22]Shoujin Wang, Chenlu Yang, Tong Qu, Kai Yang, Wanggen Wan:
Learning Users' Visual Preferences for Improving Recommendations. IEEE Access 10: 2929-2940 (2022) - [j21]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: 109795 (2022) - [j20]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): 154:1-154:38 (2022) - [j19]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): 25297-25307 (2022) - [j18]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): 425-443 (2022) - [j17]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): 1703-1723 (2022) - [c31]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: 4061-4070 - [c30]Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng:
A Systematical Evaluation for Next-Basket Recommendation Algorithms. DSAA 2022: 1-10 - [c29]Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng:
News Recommendation Via Multi-Interest News Sequence Modelling. ICASSP 2022: 7942-7946 - [c28]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: 1651-1657 - [c27]Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang:
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. IJCAI 2022: 3530-3536 - [c26]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: 1-8 - [c25]Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher:
Data Science and Artificial Intelligence for Responsible Recommendations. KDD 2022: 4904-4905 - [c24]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: 249-260 - [c23]Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang:
Rethinking Adjacent Dependency in Session-Based Recommendations. PAKDD (3) 2022: 301-313 - [c22]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: 553-570 - [c21]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: 250-254 - [c20]Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal:
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. SIGIR 2022: 3425-3428 - [c19]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: 2040-2047 - [c18]Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song:
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. WWW 2022: 3673-3684 - [i16]Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang:
Rethinking Adjacent Dependency in Session-based Recommendations. CoRR abs/2201.12532 (2022) - [i15]Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal:
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. CoRR abs/2205.10759 (2022) - [i14]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 abs/2207.14472 (2022) - [i13]Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci:
Trustworthy Recommender Systems. CoRR abs/2208.06265 (2022) - [i12]Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang:
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. CoRR abs/2209.00200 (2022) - [i11]Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng:
A Systematical Evaluation for Next-Basket Recommendation Algorithms. CoRR abs/2209.02892 (2022) - 2021
- [j16]Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu:
Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations. Appl. Intell. 51(6): 3121-3141 (2021) - [j15]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: 5571539:1-5571539:7 (2021) - [j14]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) - [j13]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): 6-15 (2021) - [j12]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): 56-64 (2021) - [j11]Tong Qu, Wanggen Wan, Shoujin Wang:
Visual content-enhanced sequential recommendation with feature-level attention. Neurocomputing 443: 262-271 (2021) - [j10]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): 3081-3099 (2021) - [j9]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): 1604-1613 (2021) - [j8]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): 75:1-75:33 (2021) - [j7]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): 98:1-98:24 (2021) - [c17]Wei Guo, Shoujin Wang, Wenpeng Lu, Hao Wu, Qian Zhang, Zhufeng Shao:
Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. DSAA 2021: 1-10 - [c16]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: 4644-4652 - [c15]Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang:
Next-item Recommendations in Short Sessions. RecSys 2021: 282-291 - [i10]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 abs/2105.06339 (2021) - [i9]Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang:
Next-item Recommendations in Short Sessions. CoRR abs/2107.07453 (2021) - [i8]Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang:
Aspect-driven User Preference and News Representation Learning for News Recommendation. CoRR abs/2110.05792 (2021) - 2020
- [j6]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: 12644-12654 (2020) - [j5]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): 3-6 (2020) - [j4]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: 1-15 (2020) - [j3]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): 5339-5348 (2020) - [j2]Shoujin Wang, Longbing Cao:
Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. IEEE Trans. Syst. Man Cybern. Syst. 50(3): 935-946 (2020) - [c14]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: 6259-6266 - [c13]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: 2333-2339 - [c12]Xu Zhang, Wenpeng Lu, Guoqiang Zhang, Fangfang Li, Shoujin Wang:
Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. PAKDD (2) 2020: 246-257 - [c11]Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang:
Double-Wing Mixture of Experts for Streaming Recommendations. WISE (2) 2020: 269-284 - [c10]Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun:
Modelling Local and Global Dependencies for Next-Item Recommendations. WISE (2) 2020: 285-300 - [i7]Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. CoRR abs/2001.04830 (2020) - [i6]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 abs/2004.11718 (2020) - [i5]Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu:
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. CoRR abs/2005.03924 (2020) - [i4]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 abs/2006.04530 (2020) - [i3]Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang:
Double-Wing Mixture of Experts for Streaming Recommendations. CoRR abs/2009.06327 (2020) - [i2]Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu:
Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations. CoRR abs/2009.06824 (2020)
2010 – 2019
- 2019
- [b1]Shoujin Wang:
Learning complex relations for session-based recommendations. University of Technology Sydney, Australia, 2019 - [c9]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. IJCAI 2019: 3771-3777 - [c8]Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. IJCAI 2019: 6332-6338 - [i1]Shoujin Wang, Longbing Cao, Yan Wang:
A Survey on Session-based Recommender Systems. CoRR abs/1902.04864 (2019) - 2018
- [c7]Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI 2018: 2532-2539 - 2017
- [c6]Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu:
Diversifying Personalized Recommendation with User-session Context. IJCAI 2017: 1858-1864 - [c5]Shoujin Wang, Liang Hu, Longbing Cao:
Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. ECML/PKDD (2) 2017: 285-302 - 2016
- [c4]Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy:
Training deep neural networks on imbalanced data sets. IJCNN 2016: 4368-4374 - 2012
- [j1]Yonghui Wang, Xiaoyu Song, Shoujin Wang:
An Improved Base State with Amendments Spatio-Temporal Data Model. J. Softw. 7(3): 663-669 (2012) - 2011
- [c3]Shoujin Wang, Xiaoyu Song, Yonghui Wang, Jingke Xu:
Design and implementation of villages and towns housing construction products intelligent service system. BMEI 2011: 2202-2205 - [c2]Yonghui Wang, Shoujin Wang, Xiaoyu Song:
Base state with amendments spatio-temporal data model on time-slot retrieval based on temporary base-state. FSKD 2011: 1540-1544 - 2010
- [c1]Yonghui Wang, Xiaoyu Song, Shoujin Wang:
Algorithm of arcs recognition based on bar tracking. FSKD 2010: 2535-2540
Coauthor Index
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