Shoujin Wang

According to our database, Shoujin Wang authored at least 93 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.

Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao

IEEE Trans. Knowl. Data Eng., June, 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

CoRR, 2024

MSynFD: Multi-hop Syntax aware Fake News Detection.

Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu

CoRR, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.

Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal

CoRR, 2024

2023

Modeling User Demand Evolution for Next-Basket Prediction.

Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian

IEEE Trans. Knowl. Data Eng., November, 2023

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu

IEEE Trans. Cybern., November, 2023

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting.

Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu

Neurocomputing, November, 2023

Data science for next-generation recommender systems.

Shoujin Wang, Yan Wang, Fikret Sivrikaya, Sahin Albayrak, Vito Walter Anelli

Int. J. Data Sci. Anal., August, 2023

DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching.

Youhui Zuo, Wenpeng Lu, Xueping Peng, Shoujin Wang, Weiyu Zhang, Xinxiao Qiao

Comput. Electr. Eng., March, 2023

Modality Coupling for Privacy Image Classification.

Yucheng Liu, Yonggang Huang, Shoujin Wang, Wenpeng Lu, Huiyan Wu

IEEE Trans. Inf. Forensics Secur., 2023

MbSRS: A multi-behavior streaming recommender system.

Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu

Inf. Sci., 2023

An empirical study of next-basket recommendations.

Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng

CoRR, 2023

LLMRec: Benchmarking Large Language Models on Recommendation Task.

Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

CoRR, 2023

Causal Intervention for Abstractive Related Work Generation.

Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor W. Tsang

CoRR, 2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.

Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem

CoRR, 2023

Medical Question Summarization with Entity-driven Contrastive Learning.

Sibo Wei, Wenpeng Lu, Xueping Peng, Shoujin Wang, Yi-Fei Wang, Weiyu Zhang

CoRR, 2023

Neural Time Series Analysis with Fourier Transform: A Survey.

Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu

CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.

Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin

CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.

Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin

Proceedings of the ACM Web Conference 2023, 2023

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation.

Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao

Proceedings of the ACM Web Conference 2023, 2023

Tutorials at The Web Conference 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

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

WSDM 2023 Workshop on Interactive Recommender Systems.

Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation.

Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Equivariant Contrastive Learning for Sequential Recommendation.

Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

News Recommendation via Jointly Modeling Event Matching and Style Matching.

Pengyu Zhao, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Yonggang Huang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.

Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures.

Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Xiao Liu, Rui Bing, Shoujin Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Session-based Interactive Recommendation via Deep Reinforcement Learning.

Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li

Proceedings of the IEEE International Conference on Data Mining, 2023

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.

Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Causal Intervention for Abstractive Related Work Generation.

Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Intention-Aware User Modeling for Personalized News Recommendation.

Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Xinxiao Qiao

Proceedings of the Database Systems for Advanced Applications, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Efficient Interactive Recommendation via Huffman Tree-based Policy Learning.

Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang, Shijian Li

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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, Weiyu Zhang

World Wide Web, 2022

Exploiting intra- and inter-session dependencies for session-based recommendations.

Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun

World Wide Web, 2022

Aspect-Driven User Preference and News Representation Learning for News Recommendation.

Wenpeng Lu, Rongyao Wang, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang

IEEE Trans. Intell. Transp. Syst., 2022

A Survey on Session-based Recommender Systems.

Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian

ACM Comput. Surv., 2022

Trustworthy Recommender Systems.

Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci

CoRR, 2022

Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction.

Wenpeng Lu, Pengyu Zhao, Yifeng Li, Shoujin Wang, Heyan Huang, Shumin Shi, Hao Wu

Appl. Soft Comput., 2022

Learning Users' Visual Preferences for Improving Recommendations.

Shoujin Wang, Chenlu Yang, Tong Qu, Kai Yang, Wanggen Wan

IEEE Access, 2022

Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation.

Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Vehicle Check-In Data-driven POI Recommendation Based on Improved SVD and Graph Convolutional Network.

Yuwen Liu, Jie Zhang, Ruihan Dou, Xiaokang Zhou, Xiaolong Xu, Shoujin Wang, Lianyong Qi

Proceedings of the IEEE Smartworld, 2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.

Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

Proceedings of the 4th International Conference on Robotics, 2022

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters.

Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Rethinking Adjacent Dependency in Session-Based Recommendations.

Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Word Sense Disambiguation Based on Memory Enhancement Mechanism.

Baoshuo Kan, Wenpeng Lu, Xueping Peng, Shoujin Wang, Guobiao Zhang, Weiyu Zhang, Xinxiao Qiao

Proceedings of the Knowledge Science, Engineering and Management, 2022

Data Science and Artificial Intelligence for Responsible Recommendations.

Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Chinese Sentence Matching with Multiple Alignments and Feature Augmentation.

Youhui Zuo, Xueping Peng, Wenpeng Lu, Shoujin Wang, Zhao Li, Weiyu Zhang, Yi Zhai

Proceedings of the International Joint Conference on Neural Networks, 2022

Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation.

Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing.

Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

News Recommendation Via Multi-Interest News Sequence Modelling.

Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng

Proceedings of the IEEE International Conference on Acoustics, 2022

A Systematical Evaluation for Next-Basket Recommendation Algorithms.

Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction.

Wenpeng Lu, Rui Yu, Shoujin Wang, Can Wang, Ping Jian, Heyan Huang

ACM Trans. Internet Techn., 2021

Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing.

Qianmu Li, Shunmei Meng, Xiaonan Sang, Hanrui Zhang, Shoujin Wang, Ali Kashif Bashir, Keping Yu, Usman Tariq

ACM Trans. Internet Techn., 2021

Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion.

Lin Xiao, Yongsheng Zhang, Jianhua Dai, Qiuyue Zuo, Shoujin Wang

IEEE Trans. Ind. Informatics, 2021

Sentence pair modeling based on semantic feature map for human interaction with IoT devices.

Rui Yu, Wenpeng Lu, Huimin Lu, Shoujin Wang, Fangfang Li, Xu Zhang, Jiguo Yu

Int. J. Mach. Learn. Cybern., 2021

Visual content-enhanced sequential recommendation with feature-level attention.

Tong Qu, Wanggen Wan, Shoujin Wang

Neurocomputing, 2021

Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation.

Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu

IEEE Intell. Syst., 2021

Concept Representation by Learning Explicit and Implicit Concept Couplings.

Wenpeng Lu, Yuteng Zhang, Shoujin Wang, Heyan Huang, Qian Liu, Sheng Luo

IEEE Intell. Syst., 2021

Aspect-driven User Preference and News Representation Learning for News Recommendation.

Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang

CoRR, 2021

Chinese clinical named entity recognition based on stacked neural network.

Ruoyu Zhang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Rui Yu, Yuan Gao

Concurr. Comput. Pract. Exp., 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

Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations.

Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu

Appl. Intell., 2021

Next-item Recommendations in Short Sessions.

Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Graph Learning based Recommender Systems: A Review.

Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations.

Wei Guo, Shoujin Wang, Wenpeng Lu, Hao Wu, Qian Zhang, Zhufeng Shao

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency.

Shoujin Wang, Longbing Cao

IEEE Trans. Syst. Man Cybern. Syst., 2020

Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization.

Lin Xiao, Jianhua Dai, Rongbo Lu, Shuai Li, Jichun Li, Shoujin Wang

IEEE Trans. Neural Networks Learn. Syst., 2020

Privacy-aware offloading for training tasks of generative adversarial network in edge computing.

Xiaolong Xu, Xihua Liu, Xiaochun Yin, Shoujin Wang, Quan Qi, Lianyong Qi

Inf. Sci., 2020

The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning.

Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao

IEEE Intell. Syst., 2020

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation.

Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu

CoRR, 2020

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation.

Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu

CoRR, 2020

Graph Learning Approaches to Recommender Systems: A Review.

Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu

CoRR, 2020

Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems.

Qingfang Liu, Baosheng Kang, Keping Yu, Xin Qi, Jing Li, Shoujin Wang, Hong-An Li

IEEE Access, 2020

Double-Wing Mixture of Experts for Streaming Recommendations.

Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Modelling Local and Global Dependencies for Next-Item Recommendations.

Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model.

Xu Zhang, Wenpeng Lu, Guoqiang Zhang, Fangfang Li, Shoujin Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning.

Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction.

Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning complex relations for session-based recommendations

Shoujin Wang

PhD thesis, 2019

A Survey on Session-based Recommender Systems.

Shoujin Wang, Longbing Cao, Yan Wang

CoRR, 2019

Sequential Recommender Systems: Challenges, Progress and Prospects.

Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks.

Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Attention-Based Transactional Context Embedding for Next-Item Recommendation.

Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation.

Shoujin Wang, Liang Hu, Longbing Cao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Diversifying Personalized Recommendation with User-session Context.

Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Training deep neural networks on imbalanced data sets.

Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2012

An Improved Base State with Amendments Spatio-Temporal Data Model.

Yonghui Wang, Xiaoyu Song, Shoujin Wang

J. Softw., 2012

2011

Base state with amendments spatio-temporal data model on time-slot retrieval based on temporary base-state.

Yonghui Wang, Shoujin Wang, Xiaoyu Song

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Design and implementation of villages and towns housing construction products intelligent service system.

Shoujin Wang, Xiaoyu Song, Yonghui Wang, Jingke Xu

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010

Algorithm of arcs recognition based on bar tracking.

Yonghui Wang, Xiaoyu Song, Shoujin Wang

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010