Shoujin Wang - RankMe

160 papers A* 29A 7B 7C 1Misc 2Journal 91Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Modal Prompt-Tuning Framework for Non-Overlapping Multi-Domain Recommendation. IEEE Trans. Multim. Li Wang, Shoujin Wang, Qiang Wu, Min Xu
2026	A*	`conf`	DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation. WWW Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Sunghun Kim, Xu Cai
2026	J	`jnl`	Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems. Trans. Recomm. Syst. Lianyong Qi, Shoujin Wang, Victor S. Sheng, Lina Yao
2026	J	`jnl`	Neural Federated Learning for Livestock Growth Prediction. CoRR Shoujin Wang, Mingze Ni, Wei Liu, Victor W. Chu, Bryan Zheng, Ayush Kanwal, Roy Jing Yang, Kenneth Sabir, Fang Chen
2026	A*	`conf`	SAR: A Structure-Aligned Reasoning Framework for Temporal Knowledge Graph Question Answering. AAAI Qianyi Hu, Jiaxue Liu, Xinhui Tu, Shoujin Wang
2026	A*	`conf`	Towards Fair Large Language Model-based Recommender Systems without Costly Retraining. WWW Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen
2026	J	`jnl`	Towards Fair Large Language Model-based Recommender Systems without Costly Retraining. CoRR Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen
2025	A*	`conf`	A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection. WWW Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam
2025	J	`jnl`	A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection. CoRR Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam
2025	—	`conf`	A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. KDD (2) Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025	—	`conf`	A Survey on Enhancing Causal Reasoning Ability of Large Language Models. PAKDD (4) Xin Li, Zhuo Cai, Shoujin Wang, Kun Yu, Fang Chen
2025	J	`jnl`	A Survey on Enhancing Causal Reasoning Ability of Large Language Models. CoRR Xin Li, Zhuo Cai, Shoujin Wang, Kun Yu, Fang Chen
2025	J	`jnl`	A Survey on Progress in LLM Alignment from the Perspective of Reward Design. CoRR Miaomiao Ji, Yanqiu Wu, Zhibin Wu, Shoujin Wang, Jian Yang, Mark Dras, Usman Naseem
2025	J	`jnl`	DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation. CoRR Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Xu Cai, Sunghun Kim
2025	A*	`conf`	DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. WWW Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel
2025	J	`jnl`	FGCM: Modality-Behavior Fusion Model Integrated with Graph Contrastive Learning for Multimodal Recommendation. IEEE Multim. Feng Mo, Lin Xiao, Qiya Song, Xieping Gao, Wenzhuo Song, Shoujin Wang
2025	J	`jnl`	Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation. IEEE Trans. Multim. Li Wang, Shoujin Wang, Quangui Zhang, Qiang Wu, Min Xu
2025	A*	`conf`	Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations. WWW Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen
2025	J	`jnl`	Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations. CoRR Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen
2025	J	`jnl`	Modeling information propagation for target user groups in online social networks based on guidance and incentive strategies. Inf. Sci. Lei Meng, Guiqiong Xu, Chen Dong, Shoujin Wang
2025	—	`conf`	RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection. WWW (Companion Volume) Liting Huang, Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Shoujin Wang
2025	J	`jnl`	Revealing Multimodal Causality with Large Language Models. CoRR Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen
2025	J	`jnl`	Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift. IEEE Trans. Neural Networks Learn. Syst. Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2025	J	`jnl`	Semantic Relation Guided Dual-view Contrastive Learning for Session-based Recommendations. ACM Trans. Inf. Syst. Qian Zhang, Shoujin Wang, Longbing Cao, Defu Lian, Haibo Zhang, Wenpeng Lu
2025	J	`jnl`	Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation. CoRR Zhongtao Rao, Peilin Zhou, Dading Chong, Zhiwei Chen, Shoujin Wang, Nan Tang
2025	A*	`conf`	Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations. SIGIR Zhuo Cai, Shoujin Wang, Victor W. Chu, Usman Naseem, Yang Wang, Fang Chen
2025	A*	`conf`	When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. WWW Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim
2024	J	`jnl`	A Blockchain-enabled decentralized settlement model for IoT data exchange services. Wirel. Networks Wenmin Lin, Xiaochun Yin, Shoujin Wang, Mohammad Reza Khosravi
2024	A*	`conf`	A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen
2024	J	`jnl`	Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
2024	J	`jnl`	Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. CoRR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2024	J	`jnl`	Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation. CoRR Li Wang, Shoujin Wang, Quangui Zhang, Qiang Wu, Min Xu
2024	Misc	`conf`	Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. ICASSP Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao
2024	B	`conf`	Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting. IJCNN Junxian Zhou, Shoujin Wang, Yuming Ou
2024	J	`jnl`	Fuzzy Federated Learning for Privacy-Preserving Detection of Adolescent Idiopathic Scoliosis. IEEE Trans. Fuzzy Syst. Xiaotong Wu, Yan Ding, Xiaokang Zhou, Yanwei Xu, Shoujin Wang, Xiaolong Xu, Lianyong Qi
2024	J	`jnl`	Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. Neurocomputing Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain
2024	J	`jnl`	Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC. IEEE Trans. Consumer Electron. Jiwei Huang, Bowen Ma, Ming Wang, Xiaokang Zhou, Lina Yao, Shoujin Wang, Lianyong Qi, Ying Chen
2024	A*	`conf`	Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. WWW Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
2024	J	`jnl`	Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. CoRR Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim
2024	J	`jnl`	Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. IEEE Trans. Knowl. Data Eng. Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2024	A*	`conf`	MSynFD: Multi-hop Syntax Aware Fake News Detection. WWW Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
2024	J	`jnl`	MSynFD: Multi-hop Syntax aware Fake News Detection. CoRR Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
2024	—	`conf`	Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge. LREC/COLING Wenpeng Lu, Guobiao Zhang, Xueping Peng, Hongjiao Guan, Shoujin Wang
2024	J	`jnl`	Medical Question Summarization with Entity-driven Contrastive Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. Wenpeng Lu, Sibo Wei, Xueping Peng, Yi-Fei Wang, Usman Naseem, Shoujin Wang
2024	J	`jnl`	Medical long-tailed learning for imbalanced data: Bibliometric analysis. Comput. Methods Programs Biomed. Zheng Wu, Kehua Guo, Entao Luo, Tian Wang, Shoujin Wang, Yi Yang, Xiangyuan Zhu, Rui Ding
2024	J	`jnl`	Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. CoRR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2024	J	`jnl`	Multi-modal emotion recognition using tensor decomposition fusion and self-supervised multi-tasking. Int. J. Multim. Inf. Retr. Rui Wang, Jiawei Zhu, Shoujin Wang, Tao Wang, Jingze Huang, Xianxun Zhu
2024	A*	`conf`	NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. NeurIPS Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024	J	`jnl`	NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. CoRR Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024	J	`jnl`	RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection. CoRR Liting Huang, Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Shoujin Wang
2024	J	`jnl`	Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2024	J	`jnl`	Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees. IEEE Trans. Neural Networks Learn. Syst. Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem
2024	C	`conf`	Significance-aware Medication Recommendation with Medication Representation Learning. CSCWD Yishuo Li, Zhufeng Shao, Weimin Chen, Shoujin Wang, Yuehan Du, Wenpeng Lu
2024	A	`conf`	Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. CIKM Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem
2024	J	`jnl`	Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. CoRR Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem
2024	A	`conf`	Time-Series Representation Learning via Dual Reference Contrasting. CIKM Rui Yu, Yongshun Gong, Shoujin Wang, Jiasheng Si, Xueping Peng, Bing Xu, Wenpeng Lu
2024	J	`jnl`	Trustworthy Recommender Systems. ACM Trans. Intell. Syst. Technol. Shoujin Wang, Xiuzhen Zhang, Yan Wang, Francesco Ricci
2024	B	`conf`	UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. DSAA Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam
2023	A*	`conf`	A Counterfactual Collaborative Session-based Recommender System. WWW Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin
2023	J	`jnl`	A Counterfactual Collaborative Session-based Recommender System. CoRR Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin
2023	—	`conf`	All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures. ICONIP (14) Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Xiao Liu, Rui Bing, Shoujin Wang
2023	J	`jnl`	An empirical study of next-basket recommendations. CoRR Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng
2023	A	`conf`	Attention Calibration for Transformer-based Sequential Recommendation. CIKM Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023	J	`jnl`	Attention Calibration for Transformer-based Sequential Recommendation. CoRR Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023	J	`jnl`	Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. IEEE Trans. Cybern. Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu
2023	—	`conf`	Causal Intervention for Abstractive Related Work Generation. EMNLP (Findings) Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang
2023	J	`jnl`	Causal Intervention for Abstractive Related Work Generation. CoRR Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor W. Tsang
2023	J	`jnl`	Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. Neurocomputing Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu
2023	J	`jnl`	Data science for next-generation recommender systems. Int. J. Data Sci. Anal. Shoujin Wang, Yan Wang, Fikret Sivrikaya, Sahin Albayrak, Vito Walter Anelli
2023	J	`jnl`	DuCL: Dual-stage contrastive learning framework for Chinese semantic textual matching. Comput. Electr. Eng. Youhui Zuo, Wenpeng Lu, Xueping Peng, Shoujin Wang, Weiyu Zhang, Xinxiao Qiao
2023	A*	`conf`	Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2023	A	`conf`	Efficient Interactive Recommendation via Huffman Tree-based Policy Learning. AAMAS Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang, Shijian Li
2023	A	`conf`	Equivariant Contrastive Learning for Sequential Recommendation. RecSys Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
2023	A*	`conf`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
2023	—	`conf`	Intention-Aware User Modeling for Personalized News Recommendation. DASFAA (2) Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Xinxiao Qiao
2023	J	`jnl`	LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
2023	J	`jnl`	Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. CoRR Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao
2023	J	`jnl`	MbSRS: A multi-behavior streaming recommender system. Inf. Sci. Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu
2023	J	`jnl`	Medical Question Summarization with Entity-driven Contrastive Learning. CoRR Sibo Wei, Wenpeng Lu, Xueping Peng, Shoujin Wang, Yi-Fei Wang, Weiyu Zhang
2023	J	`jnl`	Modality Coupling for Privacy Image Classification. IEEE Trans. Inf. Forensics Secur. Yucheng Liu, Yonggang Huang, Shoujin Wang, Wenpeng Lu, Huiyan Wu
2023	A*	`conf`	Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2023	J	`jnl`	Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
2023	—	`conf`	Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. EMNLP (Findings) Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu
2023	J	`jnl`	Neural Time Series Analysis with Fourier Transform: A Survey. CoRR Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu
2023	—	`conf`	News Recommendation via Jointly Modeling Event Matching and Style Matching. ECML/PKDD (4) Pengyu Zhao, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Yonggang Huang
2023	J	`jnl`	Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. CoRR Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem
2023	A*	`conf`	Session-based Interactive Recommendation via Deep Reinforcement Learning. ICDM Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2023	A	`conf`	WSDM 2023 Workshop on Interactive Recommender Systems. WSDM Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang
2022	A*	`conf`	A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu
2022	J	`jnl`	A Survey on Session-based Recommender Systems. ACM Comput. Surv. Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian
2022	B	`conf`	A Systematical Evaluation for Next-Basket Recommendation Algorithms. DSAA Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng
2022	J	`jnl`	A Systematical Evaluation for Next-Basket Recommendation Algorithms. CoRR Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng
2022	—	`conf`	An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. ECML/PKDD (2) Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
2022	J	`jnl`	An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. CoRR Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
2022	J	`jnl`	Aspect-Driven User Preference and News Representation Learning for News Recommendation. IEEE Trans. Intell. Transp. Syst. Wenpeng Lu, Rongyao Wang, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang
2022	J	`jnl`	Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. CoRR Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu
2022	B	`conf`	Chinese Sentence Matching with Multiple Alignments and Feature Augmentation. IJCNN Youhui Zuo, Xueping Peng, Wenpeng Lu, Shoujin Wang, Zhao Li, Weiyu Zhang, Yi Zhai
2022	J	`jnl`	Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction. Appl. Soft Comput. Wenpeng Lu, Pengyu Zhao, Yifeng Li, Shoujin Wang, Heyan Huang, Shumin Shi, Hao Wu
2022	A*	`conf`	Data Science and Artificial Intelligence for Responsible Recommendations. KDD Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher
2022	J	`jnl`	Exploiting intra- and inter-session dependencies for session-based recommendations. World Wide Web Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun
2022	J	`jnl`	Learning Users' Visual Preferences for Improving Recommendations. IEEE Access Shoujin Wang, Chenlu Yang, Tong Qu, Kai Yang, Wanggen Wan
2022	A*	`conf`	Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. IJCAI Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang
2022	J	`jnl`	Multi-granularity interaction model based on pinyins and radicals for Chinese semantic matching. World Wide Web Pengyu Zhao, Wenpeng Lu, Shoujin Wang, Xueping Peng, Ping Jian, Hao Wu, Weiyu Zhang
2022	Misc	`conf`	News Recommendation Via Multi-Interest News Sequence Modelling. ICASSP Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng
2022	—	`conf`	Rethinking Adjacent Dependency in Session-Based Recommendations. PAKDD (3) Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang
2022	J	`jnl`	Rethinking Adjacent Dependency in Session-based Recommendations. CoRR Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang
2022	A*	`conf`	Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. SIGIR Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022	J	`jnl`	Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. CoRR Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022	—	`conf`	The Control of intelligent building robot patrol technology based on Raspberry Pi. RICAI Yingsong Ning, Yifei Chen, Zixuan Xu, Wangran Ma, Shoujin Wang, Shiyu Zhao
2022	J	`jnl`	Trustworthy Recommender Systems. CoRR Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci
2022	—	`conf`	Vehicle Check-In Data-driven POI Recommendation Based on Improved SVD and Graph Convolutional Network. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Yuwen Liu, Jie Zhang, Ruihan Dou, Xiaokang Zhou, Xiaolong Xu, Shoujin Wang, Lianyong Qi
2022	A*	`conf`	Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. WWW Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song
2022	—	`conf`	Word Sense Disambiguation Based on Memory Enhancement Mechanism. KSEM (2) Baoshuo Kan, Wenpeng Lu, Xueping Peng, Shoujin Wang, Guobiao Zhang, Weiyu Zhang, Xinxiao Qiao
2022	B	`conf`	Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension. COLING Guobiao Zhang, Wenpeng Lu, Xueping Peng, Shoujin Wang, Baoshuo Kan, Rui Yu
2021	J	`jnl`	A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response. Complex. Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong
2021	J	`jnl`	Aspect-driven User Preference and News Representation Learning for News Recommendation. CoRR Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang
2021	J	`jnl`	Chinese clinical named entity recognition based on stacked neural network. Concurr. Comput. Pract. Exp. Ruoyu Zhang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Rui Yu, Yuan Gao
2021	J	`jnl`	Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion. IEEE Trans. Ind. Informatics Lin Xiao, Yongsheng Zhang, Jianhua Dai, Qiuyue Zuo, Shoujin Wang
2021	J	`jnl`	Concept Representation by Learning Explicit and Implicit Concept Couplings. IEEE Intell. Syst. Wenpeng Lu, Yuteng Zhang, Shoujin Wang, Heyan Huang, Qian Liu, Sheng Luo
2021	J	`jnl`	Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing. ACM Trans. Internet Techn. Qianmu Li, Shunmei Meng, Xiaonan Sang, Hanrui Zhang, Shoujin Wang, Ali Kashif Bashir, Keping Yu, Usman Tariq
2021	A*	`conf`	Graph Learning based Recommender Systems: A Review. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	J	`jnl`	Graph Learning based Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	J	`jnl`	Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
2021	A	`conf`	Next-item Recommendations in Short Sessions. RecSys Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang
2021	J	`jnl`	Next-item Recommendations in Short Sessions. CoRR Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang
2021	J	`jnl`	Sentence Semantic Matching Based on 3D CNN for Human-Robot Language Interaction. ACM Trans. Internet Techn. Wenpeng Lu, Rui Yu, Shoujin Wang, Can Wang, Ping Jian, Heyan Huang
2021	J	`jnl`	Sentence pair modeling based on semantic feature map for human interaction with IoT devices. Int. J. Mach. Learn. Cybern. Rui Yu, Wenpeng Lu, Huimin Lu, Shoujin Wang, Fangfang Li, Xu Zhang, Jiguo Yu
2021	B	`conf`	Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. DSAA Wei Guo, Shoujin Wang, Wenpeng Lu, Hao Wu, Qian Zhang, Zhufeng Shao
2021	J	`jnl`	Stratified and time-aware sampling based adaptive ensemble learning for streaming recommendations. Appl. Intell. Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu
2021	J	`jnl`	Visual content-enhanced sequential recommendation with feature-level attention. Neurocomputing Tong Qu, Wanggen Wan, Shoujin Wang
2020	J	`jnl`	Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation. CoRR Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu
2020	—	`conf`	Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. PAKDD (2) Xu Zhang, Wenpeng Lu, Guoqiang Zhang, Fangfang Li, Shoujin Wang
2020	J	`jnl`	Contour-Maintaining-Based Image Adaption for an Efficient Ambulance Service in Intelligent Transportation Systems. IEEE Access Qingfang Liu, Baosheng Kang, Keping Yu, Xin Qi, Jing Li, Shoujin Wang, Hong-an Li
2020	J	`jnl`	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. Lin Xiao, Jianhua Dai, Rongbo Lu, Shuai Li, Jichun Li, Shoujin Wang
2020	—	`conf`	Double-Wing Mixture of Experts for Streaming Recommendations. WISE (2) Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang
2020	J	`jnl`	Double-Wing Mixture of Experts for Streaming Recommendations. CoRR Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang
2020	J	`jnl`	Graph Learning Approaches to Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
2020	J	`jnl`	Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency. IEEE Trans. Syst. Man Cybern. Syst. Shoujin Wang, Longbing Cao
2020	A*	`conf`	Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2020	A*	`conf`	Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2020	J	`jnl`	Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
2020	—	`conf`	Modelling Local and Global Dependencies for Next-Item Recommendations. WISE (2) Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun
2020	J	`jnl`	Privacy-aware offloading for training tasks of generative adversarial network in edge computing. Inf. Sci. Xiaolong Xu, Xihua Liu, Xiaochun Yin, Shoujin Wang, Quan Qi, Lianyong Qi
2020	J	`jnl`	Sequential Recommender Systems: Challenges, Progress and Prospects. CoRR Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun
2020	J	`jnl`	Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations. CoRR Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu
2020	J	`jnl`	The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intell. Syst. Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao
2019	J	`jnl`	A Survey on Session-based Recommender Systems. CoRR Shoujin Wang, Longbing Cao, Yan Wang
2019	—	`—`	Learning complex relations for session-based recommendations Shoujin Wang
2019	A*	`conf`	Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2019	A*	`conf`	Sequential Recommender Systems: Challenges, Progress and Prospects. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun
2018	A*	`conf`	Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
2017	A*	`conf`	Diversifying Personalized Recommendation with User-session Context. IJCAI Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu
2017	—	`conf`	Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. ECML/PKDD (2) Shoujin Wang, Liang Hu, Longbing Cao
2016	B	`conf`	Training deep neural networks on imbalanced data sets. IJCNN Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy
2012	J	`jnl`	An Improved Base State with Amendments Spatio-Temporal Data Model. J. Softw. Yonghui Wang, Xiaoyu Song, Shoujin Wang
2011	—	`conf`	Base state with amendments spatio-temporal data model on time-slot retrieval based on temporary base-state. FSKD Yonghui Wang, Shoujin Wang, Xiaoyu Song
2011	—	`conf`	Design and implementation of villages and towns housing construction products intelligent service system. BMEI Shoujin Wang, Xiaoyu Song, Yonghui Wang, Jingke Xu
2010	—	`conf`	Algorithm of arcs recognition based on bar tracking. FSKD Yonghui Wang, Xiaoyu Song, Shoujin Wang