Shoujin Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
61
Venues
22
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*WWW13 papers
- A*IJCAI7 papers
- A*SIGIR5 papers
- A*AAAI3 papers
- A*KDD3 papers
- BPAKDD3 papers
- ACIKM3 papers
- BDSAA3 papers
- BIJCNN3 papers
- BCOLING2 papers
- MulticonferenceICASSP2 papers
- A*EMNLP2 papers
- ARecSys2 papers
- BWISE2 papers
- A*ACL1 paper
- CCSCWD1 paper
- BDASFAA1 paper
- A*ICDM1 paper
- BICONIP1 paper
- AWSDM1 paper
- CKSEM1 paper
- CUIC1 paper
Papers
61 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SAR: A Structure-Aligned Reasoning Framework for Temporal Knowledge Graph Question Answering. | Qianyi Hu, Jiaxue Liu, Xinhui Tu, Shoujin Wang |
| 2026 | ACL | CheMM-R1: Enhancing Chemical Structure Recognition and Elucidation with Reasoning Multimodal Large Language Models. | Liting Huang, Zhihao Zhang, Shoujin Wang |
| 2026 | WWW | Towards Fair Large Language Model-based Recommender Systems without Costly Retraining. | Jin Li, Huilin Gu, Shoujin Wang, Qi Zhang, Shui Yu, Chen Wang, Xiwei Xu, Fang Chen |
| 2026 | WWW | DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation. | Yifan Shao, Peilin Zhou, Shoujin Wang, Weizhi Zhang, Sunghun Kim, Xu Cai |
| 2026 | SIGIR | Structural and Disentangled Adaptation of Large Vision Language Models for Multimodal Recommendation. | Zhongtao Rao, Peilin Zhou, Dading Chong, Zhiwei Chen, Shoujin Wang, Nan Tang |
| 2026 | SIGIR | RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation. | Cong Wang, Jin Li, Shoujin Wang, Yishuo Li, Huilin Gu, Wenpeng Lu |
| 2025 | KDD | A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. | Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong |
| 2025 | PAKDD | A Survey on Enhancing Causal Reasoning Ability of Large Language Models. | Xin Li, Zhuo Cai, Shoujin Wang, Kun Yu, Fang Chen |
| 2025 | WWW | RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection. | Liting Huang, Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Shoujin Wang |
| 2025 | WWW | Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations. | Jin Li, Shoujin Wang, Qi Zhang, Shui Yu, Fang Chen |
| 2025 | WWW | DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. | Usman Naseem, Liang Hu, Qi Zhang, Shoujin Wang, Shoaib Jameel |
| 2025 | WWW | A Macro- and Micro-Hierarchical Transfer Learning Framework for Cross-Domain Fake News Detection. | Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam |
| 2025 | WWW | When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. | 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 |
| 2025 | SIGIR | Unleashing the Potential of Diffusion Models Towards Diversified Sequential Recommendations. | Zhuo Cai, Shoujin Wang, Victor W. Chu, Usman Naseem, Yang Wang, Fang Chen |
| 2024 | CIKM | Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. | Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem |
| 2024 | CIKM | Time-Series Representation Learning via Dual Reference Contrasting. | Rui Yu, Yongshun Gong, Shoujin Wang, Jiasheng Si, Xueping Peng, Bing Xu, Wenpeng Lu |
| 2024 | COLING | Medical Entity Disambiguation with Medical Mention Relation and Fine-grained Entity Knowledge. | Wenpeng Lu, Guobiao Zhang, Xueping Peng, Hongjiao Guan, Shoujin Wang |
| 2024 | CSCWD | Significance-aware Medication Recommendation with Medication Representation Learning. | Yishuo Li, Zhufeng Shao, Weimin Chen, Shoujin Wang, Yuehan Du, Wenpeng Lu |
| 2024 | DSAA | UPDATE: Mining User-News Engagement Patterns for Dual-Target Cross-Domain Fake News Detection. | Xuankai Yang, Yan Wang, Xiuzhen Zhang, Shoujin Wang, Huaxiong Wang, Kwok-Yan Lam |
| 2024 | ICASSP | Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation. | Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao |
| 2024 | IJCNN | Fourier Graph Convolution Transformer for Financial Multivariate Time Series Forecasting. | Junxian Zhou, Shoujin Wang, Yuming Ou |
| 2024 | KDD | A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. | Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen |
| 2024 | WWW | MSynFD: Multi-hop Syntax Aware Fake News Detection. | Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu |
| 2024 | WWW | 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 |
| 2023 | CIKM | Attention Calibration for Transformer-based Sequential Recommendation. | Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim |
| 2023 | DASFAA | Intention-Aware User Modeling for Personalized News Recommendation. | Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Chaoqun Zheng, Xinxiao Qiao |
| 2023 | EMNLP | Causal Intervention for Abstractive Related Work Generation. | Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang |
| 2023 | EMNLP | Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. | Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu |
| 2023 | ICDM | Session-based Interactive Recommendation via Deep Reinforcement Learning. | Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li |
| 2023 | ICONIP | 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 |
| 2023 | RecSys | Equivariant Contrastive Learning for Sequential Recommendation. | Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim |
| 2023 | WWW | 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 Espn-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 Kk-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 | WWW | Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. | Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao |
| 2023 | WWW | A Counterfactual Collaborative Session-based Recommender System. | Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin |
| 2023 | SIGIR | Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. | Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao |
| 2023 | WSDM | WSDM 2023 Workshop on Interactive Recommender Systems. | Yong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang |
| 2022 | COLING | 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 |
| 2022 | DSAA | A Systematical Evaluation for Next-Basket Recommendation Algorithms. | Zhufeng Shao, Shoujin Wang, Qian Zhang, Wenpeng Lu, Zhao Li, Xueping Peng |
| 2022 | ICASSP | News Recommendation Via Multi-Interest News Sequence Modelling. | Rongyao Wang, Shoujin Wang, Wenpeng Lu, Xueping Peng |
| 2022 | IJCAI | 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 |
| 2022 | IJCAI | Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. | Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang |
| 2022 | IJCNN | Chinese Sentence Matching with Multiple Alignments and Feature Augmentation. | Youhui Zuo, Xueping Peng, Wenpeng Lu, Shoujin Wang, Zhao Li, Weiyu Zhang, Yi Zhai |
| 2022 | KDD | Data Science and Artificial Intelligence for Responsible Recommendations. | Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher |
| 2022 | KSEM | Word Sense Disambiguation Based on Memory Enhancement Mechanism. | Baoshuo Kan, Wenpeng Lu, Xueping Peng, Shoujin Wang, Guobiao Zhang, Weiyu Zhang, Xinxiao Qiao |
| 2022 | PAKDD | Rethinking Adjacent Dependency in Session-Based Recommendations. | Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang |
| 2022 | WWW | Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. | Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song |
| 2022 | SIGIR | Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. | Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal |
| 2022 | UIC | 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 |
| 2021 | DSAA | Sequential Dependency Enhanced Graph Neural Networks for Session-based Recommendations. | Wei Guo, Shoujin Wang, Wenpeng Lu, Hao Wu, Qian Zhang, Zhufeng Shao |
| 2021 | IJCAI | 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 |
| 2021 | RecSys | Next-item Recommendations in Short Sessions. | Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang |
| 2020 | AAAI | 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 |
| 2020 | IJCAI | 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 |
| 2020 | PAKDD | Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. | Xu Zhang, Wenpeng Lu, Guoqiang Zhang, Fangfang Li, Shoujin Wang |
| 2020 | WISE | Modelling Local and Global Dependencies for Next-Item Recommendations. | Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun |
| 2020 | WISE | Double-Wing Mixture of Experts for Streaming Recommendations. | Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang |
| 2019 | IJCAI | 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 |
| 2019 | IJCAI | Sequential Recommender Systems: Challenges, Progress and Prospects. | Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun |
| 2018 | AAAI | Attention-Based Transactional Context Embedding for Next-Item Recommendation. | Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu |
| 2017 | IJCAI | Diversifying Personalized Recommendation with User-session Context. | Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu |
| 2016 | IJCNN | Training deep neural networks on imbalanced data sets. | Shoujin Wang, Wei Liu, Jia Wu, Longbing Cao, Qinxue Meng, Paul J. Kennedy |