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2020 – today
- 2024
[j55]Fan Zhou, Yuanchun Jiang, Yang Qian, Yezheng Liu, Yidong Chai:
Product consumptions meet reviews: Inferring consumer preferences by an explainable machine learning approach. Decis. Support Syst. 177: 114088 (2024)- [j54]Yi Li, Suyang Yu, Yulin Chen, Yuanchun Jiang, Kun Yuan:
Explainable fashion compatibility Prediction: An Attribute-Augmented neural framework. Electron. Commer. Res. Appl. 68: 101451 (2024) - [j53]YingQiu Xiong, Yezheng Liu, Yang Qian, Yuanchun Jiang, Yidong Chai
, Haifeng Ling:
Review-based recommendation under preference uncertainty: An asymmetric deep learning framework. Eur. J. Oper. Res. 316(3): 1044-1057 (2024) - [j52]Yidong Chai, Yi Liu, Weifeng Li, Bin Zhu, Hongyan Liu, Yuanchun Jiang:
An interpretable wide and deep model for online disinformation detection. Expert Syst. Appl. 237(Part B): 121588 (2024) - [j51]Fulai Cui, Shuo Yu, Yidong Chai, Yang Qian, Yuanchun Jiang, Yezheng Liu, Xiao Liu, Jianxin Li:
A Bayesian deep recommender system for uncertainty-aware online physician recommendation. Inf. Manag. 61(7): 104027 (2024) - [j50]Zhiqiang Tian, Yezheng Liu, Jianshan Sun, Xue Zhang, Yuanchun Jiang:
Why a user prefers an artwork: A deep attention model for artwork recommendation. J. Inf. Sci. 50(5): 1195-1210 (2024) - [j49]Hui Wang, Zhenghao Li, Lian Chen, Dongliang Li, Yuanchun Jiang:
The Disparity in Normalized Difference Vegetarian Index Response to Climate Warming and Humidification in the Tibetan Plateau before and after 1998. Remote. Sens. 16(12): 2121 (2024) - [j48]Jianshan Sun, Suyuan Mei, Kun Yuan, Yuanchun Jiang, Jie Cao:
Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation. ACM Trans. Knowl. Discov. Data 18(5): 112:1-112:21 (2024) - [j47]Jianshan Sun, Qing Zhang, Kun Yuan, Yuanchun Jiang, Xinran Chen:
A supervised contrastive learning-based model for image emotion classification. World Wide Web (WWW) 27(3): 29 (2024) - [i5]Erkang Jing, Yezheng Liu, Yidong Chai, Shuo Yu, Longshun Liu, Yuanchun Jiang, Yang Wang:
Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. CoRR abs/2406.14090 (2024) - [i4]Anqi Zhou, Yezheng Liu, Yidong Chai, Hongyi Zhu, Xinyue Ge, Yuanchun Jiang, Meng Wang:
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning. CoRR abs/2407.00719 (2024) - [i3]Yonghang Zhou, Hongyi Zhu, Yidong Chai, Yuanchun Jiang, Yezheng Liu:
Towards Trustworthy Web Attack Detection: An Uncertainty-Aware Ensemble Deep Kernel Learning Model. CoRR abs/2410.07725 (2024) - 2023
- [j46]Hao Li, Yang Qian, Yuanchun Jiang, Ye-Zheng Liu, Fan Zhou:
A novel label-based multimodal topic model for social media analysis. Decis. Support Syst. 164: 113863 (2023) - [j45]Yang Qian, Yuanchun Jiang, Jennifer Shang, Yidong Chai, Ye-Zheng Liu:
Why some products compete and others don't: A competitive attribution model from customer perspective. Decis. Support Syst. 169: 113956 (2023) - [j44]Erkang Jing, Yezheng Liu, Yidong Chai, Jianshan Sun, Sagar Samtani, Yuanchun Jiang, Yang Qian:
A deep interpretable representation learning method for speech emotion recognition. Inf. Process. Manag. 60(6): 103501 (2023) - [j43]Xuemei Wei, Ye-Zheng Liu, Jianshan Sun, Yuanchun Jiang, Qifeng Tang, Kun Yuan:
Dual Subgraph-Based Graph Neural Network for Friendship Prediction in Location-Based Social Networks. ACM Trans. Knowl. Discov. Data 17(3): 42:1-42:28 (2023) - [j42]Yidong Chai, Ruicheng Liang, Sagar Samtani, Hongyi Zhu, Meng Wang, Ye-Zheng Liu, Yuanchun Jiang:
Additive Feature Attribution Explainable Methods to Craft Adversarial Attacks for Text Classification and Text Regression. IEEE Trans. Knowl. Data Eng. 35(12): 12400-12414 (2023) - [j41]Yidong Chai, Hongyan Liu, Jie Xu, Sagar Samtani, Yuanchun Jiang, Haoxin Liu:
A Multi-Label Classification with an Adversarial-Based Denoising Autoencoder for Medical Image Annotation. ACM Trans. Manag. Inf. Syst. 14(2): 19:1-19:21 (2023) - [c22]Qing Zhang, Jianshan Sun, Kun Yuan, Yuanchun Jiang:
An Image Emotion Classification Method Based on Supervised Contrastive Learning. DSC 2023: 313-320 - [c21]Ruicheng Liang, Yidong Chai, Weifeng Li, Michael Chau, Yuanchun Jiang, Yezheng Liu:
Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach. PACIS 2023: 211 - [c20]Jiakai Xiao, Yang Qian, Wei Du, Yuyang Wang, Yuanchun Jiang, Ye-Zheng Liu:
VR/AR/MR in the Electricity Industry: Concepts, Techniques, and Applications. VR Workshops 2023: 82-88 - 2022
- [j40]Jianshan Sun, Jian Song, Yuanchun Jiang, Yezheng Liu, Jun Li:
Prick the filter bubble: A novel cross domain recommendation model with adaptive diversity regularization. Electron. Mark. 32(1): 101-121 (2022) - [j39]Ju Fan, Yuanchun Jiang, Yezheng Liu, Yonghang Zhou:
Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis. Internet Res. 32(2): 588-605 (2022) - [j38]Yang Qian, Wang Xu, Xiao Liu, Haifeng Ling, Yuanchun Jiang, Yidong Chai, Ye-Zheng Liu:
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion. Inf. Process. Manag. 59(4): 102984 (2022) - [j37]Yaguang Li, Yuanchun Jiang, Jianshan Sun, Chunhua Sun, Ye-Zheng Liu, Hai Wang:
Adaptive finite-time direct fuzzy control for a nonlinear system with an unknown control gain based on an observer. Inf. Sci. 607: 92-108 (2022) - [j36]Yidong Chai, Yonghang Zhou, Weifeng Li, Yuanchun Jiang:
An Explainable Multi-Modal Hierarchical Attention Model for Developing Phishing Threat Intelligence. IEEE Trans. Dependable Secur. Comput. 19(2): 790-803 (2022) - [j35]Yuanchun Jiang, Ruicheng Liang, Ji Zhang, Jianshan Sun, Ye-Zheng Liu, Yang Qian:
Network Public Opinion Detection During the Coronavirus Pandemic: A Short-Text Relational Topic Model. ACM Trans. Knowl. Discov. Data 16(3): 52:1-52:27 (2022) - [j34]Zhiqiang Tian, Yezheng Liu, Jianshan Sun, Yuanchun Jiang, Mingyue Zhu:
Exploiting Group Information for Personalized Recommendation with Graph Neural Networks. ACM Trans. Inf. Syst. 40(2): 27:1-27:23 (2022) - [c19]Meng Zhang, Yang Qian, Yuanchun Jiang, Yuyang Wang, Ye-Zheng Liu:
Helpfulness Prediction for VR Application Reviews: Exploring Topic Signals for Causal Inference. ISMAR Adjunct 2022: 17-21 - [c18]Yang Qian, Huahua Xu, Yuyang Wang, Ye-Zheng Liu, Yuanchun Jiang:
Explore and Interpret the Correlations Among VR Applications. ISMAR Adjunct 2022: 22-26 - [c17]Yang Qian, YingQiu Xiong, Yuyang Wang, Yuanchun Jiang, Yezheng Liu, Yidong Chai:
Identification of Key Features for VR Applications with VREVIEW: A Topic Model Approach. VR Workshops 2022: 183-188 - 2021
- [j33]Lingfei Li, Qing Zhou, Wei Yang, Yuanchun Jiang:
Uncovering information diffusion patterns in different networks using the L-metric. Enterp. Inf. Syst. 15(10): 1635-1657 (2021) - [j32]Jianshan Sun, Mingyue Zhu, Yuanchun Jiang, Ye-Zheng Liu, Le Wu:
Hierarchical attention model for personalized tag recommendation. J. Assoc. Inf. Sci. Technol. 72(2): 173-189 (2021) - [j31]Lu Yang, Ye-Zheng Liu, Yuanchun Jiang, Le Wu, Jianshan Sun:
Predicting personalized grouping and consumption: A collaborative evolution model. Knowl. Based Syst. 228: 107248 (2021) - [c16]Ye-Zheng Liu, Jicheng Wang, Yang Qian, Yuanchun Jiang, Jianshan Sun, Yidong Chai:
Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature. DSC 2021: 315-320 - [c15]Yangfei Sun, Yuanchun Jiang:
Design and Implementation of Data Adapter in SWIM. ICAIS (2) 2021: 70-81 - 2020
- [j30]Jianshan Sun, Rongrong Ying, Yuanchun Jiang, Jianmin He, Zhengping Ding:
Leveraging friend and group information to improve social recommender system. Electron. Commer. Res. 20(1): 147-172 (2020) - [j29]Yang Qian, Yuanchun Jiang, Yanan Du, Jianshan Sun, Yezheng Liu:
Segmenting market structure from multi-channel clickstream data: a novel generative model. Electron. Commer. Res. 20(3): 509-533 (2020) - [j28]Yezheng Liu, Yang Qian, Yuanchun Jiang, Jennifer Shang:
Using favorite data to analyze asymmetric competition: Machine learning models. Eur. J. Oper. Res. 287(2): 600-615 (2020) - [j27]Yezheng Liu, Fei Du, Jianshan Sun, Yuanchun Jiang:
iLDA: An interactive latent Dirichlet allocation model to improve topic quality. J. Inf. Sci. 46(1) (2020) - [j26]Yezheng Liu, Zhiqiang Tian, Jianshan Sun, Yuanchun Jiang, Xue Zhang:
Distributed representation learning via node2vec for implicit feedback recommendation. Neural Comput. Appl. 32(9): 4335-4345 (2020) - [j25]Ye-Zheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, Xiangnan He:
Generative Adversarial Active Learning for Unsupervised Outlier Detection. IEEE Trans. Knowl. Data Eng. 32(8): 1517-1528 (2020) - [j24]Yang Qian, Yezheng Liu, Yuanchun Jiang, Xiao Liu:
Detecting topic-level influencers in large-scale scientific networks. World Wide Web 23(2): 831-851 (2020) - [c14]Jianshan Sun, Jian Song, Yuanchun Jiang, Yezheng Liu, Mingyue Zhu:
Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems. AMCIS 2020 - [i2]Yang Qian, Yuanchun Jiang, Yidong Chai, Yezheng Liu, Jianshan Sun:
TopicModel4J: A Java Package for Topic Models. CoRR abs/2010.14707 (2020)
2010 – 2019
- 2019
- [j23]Yezheng Liu, Tingting Zhu, Yuanchun Jiang, Xiao Liu:
Service matchmaking for Internet of Things based on probabilistic topic model. Future Gener. Comput. Syst. 94: 272-281 (2019) - [j22]Yuanchun Jiang, Dandan Tao, Yezheng Liu, Jianshan Sun, Haifeng Ling:
Cloud service recommendation based on unstructured textual information. Future Gener. Comput. Syst. 97: 387-396 (2019) - [j21]Yezheng Liu, Fei Du, Jianshan Sun, Thushari P. Silva, Yuanchun Jiang, Tingting Zhu:
Identifying social roles using heterogeneous features in online social networks. J. Assoc. Inf. Sci. Technol. 70(7): 660-674 (2019) - [j20]Yezheng Liu, Qiang Xiong, Jianshan Sun, Yuanchun Jiang, Thushari P. Silva, Haifeng Ling:
Topic-based hierarchical Bayesian linear regression models for niche items recommendation. J. Inf. Sci. 45(1) (2019) - [c13]Yezheng Liu, Tingting Zhu, Yuanchun Jiang:
Purchase Prediction Based on a Non-parametric Bayesian Method. HICSS 2019: 1-9 - [c12]Yezheng Liu, Xue Zhang, Jianshan Sun, Yuanchun Jiang, Zhiqiang Tian:
Understanding Patients' WOM of IT-Enabled Healthcare Service: A Case Study of Online Health Consultation. HICSS 2019: 1-10 - 2018
- [j19]An Lu, Zhengping Ding, Yezheng Liu, Yaguang Guo, Yuanchun Jiang, Zhengguang Chen:
An Evolution Model of Group Opinions Based on Social Judgment Theory (August 2018). IEEE Access 6: 69288-69293 (2018) - [j18]Yuanchun Jiang, Yezheng Liu, Jennifer Shang, Pinar Yildirim, Qingfu Zhang:
Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives. Eur. J. Oper. Res. 267(2): 612-627 (2018) - [j17]Yezheng Liu, Fei Du, Jianshan Sun, Yuanchun Jiang, Jianmin He, Tingting Zhu, Chunhua Sun:
A crowdsourcing-based topic model for service matchmaking in Internet of Things. Future Gener. Comput. Syst. 87: 186-197 (2018) - [j16]Yuanchun Jiang, Yezheng Liu, Hai Wang, Jennifer Shang, Shuai Ding:
Online pricing with bundling and coupon discounts. Int. J. Prod. Res. 56(5): 1773-1788 (2018) - [j15]Yezheng Liu, Jiajia Wang, Yuanchun Jiang, Jianshan Sun, Jennifer Shang:
Identifying impact of intrinsic factors on topic preferences in online social media: A nonparametric hierarchical Bayesian approach. Inf. Sci. 423: 219-234 (2018) - [j14]Jianshan Sun, Yuanchun Jiang, Xusen Cheng, Wei Du, Yezheng Liu, Jian Ma:
A hybrid approach for article recommendation in research social networks. J. Inf. Sci. 44(5): 696-711 (2018) - [j13]Yezheng Liu, Lu Yang, Jianshan Sun, Yuanchun Jiang, Jinkun Wang:
Collaborative matrix factorization mechanism for group recommendation in big data-based library systems. Libr. Hi Tech 36(3): 458-481 (2018) - [j12]Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Yezheng Liu, Xiao Liu:
Group recommendation based on a bidirectional tensor factorization model. World Wide Web 21(4): 961-984 (2018) - [c11]Yuanchun Jiang, Cuicui Ji, Yang Qian, Yezheng Liu:
Mining Product Relationships for Recommendation Based on Cloud Service Data. Business Process Management Workshops 2018: 374-386 - [c10]Yuanchun Jiang, Manli Lv, Jianshan Sun, Yezheng Liu:
A Bayesian Personalized Ranking Algorithm Based on Tag Preference. DSC 2018: 465-471 - [i1]Yezheng Liu, Zhe Li, Chong Zhou, Yuanchun Jiang, Jianshan Sun, Meng Wang, Xiangnan He:
Generative Adversarial Active Learning for Unsupervised Outlier Detection. CoRR abs/1809.10816 (2018) - 2017
- [j11]Jinkun Wang, Shasha Zhang, Xiao Liu, Yuanchun Jiang, Min Zhang:
A novel collective matrix factorization model for recommendation with fine-grained social trust prediction. Concurr. Comput. Pract. Exp. 29(19) (2017) - 2016
- [j10]Xujun Li, Yezheng Liu, Yuan-Chun Jiang, Xiao Liu:
Identifying social influence in complex networks: A novel conductance eigenvector centrality model. Neurocomputing 210: 141-154 (2016) - [j9]Yezheng Liu, Jiajia Wang, Yuan-Chun Jiang:
PT-LDA: A latent variable model to predict personality traits of social network users. Neurocomputing 210: 155-163 (2016) - [j8]Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Chunhua Sun:
考虑用户活跃度和项目流行度的基于项目最近邻的协同过滤算法 (Item-based Collaborative Filtering Algorithm Integrating User Activity and Item Popularity). 计算机科学 43(12): 158-162 (2016) - [c9]Shasha Zhang, Xiao Liu, Yuan-Chun Jiang, Min Zhang:
A Novel Fine-Grained User Trust Relation Prediction for Improving Recommendation Accuracy. CBD 2016: 164-171 - [c8]Fei Du, Yezheng Liu, Xiao Liu, Jianshan Sun, Yuan-Chun Jiang:
User Role Analysis in Online Social Networks Based on Dirichlet Process Mixture Models. CBD 2016: 172-177 - [c7]Jiajia Wang, Yezheng Liu, Yuanchun Jiang, Chunhua Sun, Jianshan Sun, Yanan Du:
Clustering Product Features of Online Reviews Based on Nonnegative Matrix Tri-factorizations. DSC 2016: 199-208 - [c6]Yezheng Liu, Jinkun Wang, Yuanchun Jiang, Jianshan Sun, Chunhua Sun:
Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems. DSC 2016: 412-417 - [c5]Yuanchun Jiang, Yuxiang Xu, Liang Shao:
A Personalized Microblog Search Model Considering User-Author Relationship. DSC 2016: 508-513 - [c4]Yezheng Liu, Fei Du, Yuanchun Jiang, Xiao Liu, Qiudan Wang:
A Novel APPs Recommendation Algorithm Based on APPs Popularity and User Behaviors. DSC 2016: 584-589 - [c3]Jinkun Wang, Yezheng Liu, Jianshan Sun, Yuan-Chun Jiang, Chunhua Sun:
Diversified Recommendation Incorporating Item Content Information Based on MOEA/D. HICSS 2016: 688-696 - 2015
- [c2]Qiudang Wang, Xiao Liu, Shasha Zhang, Yuan-Chun Jiang, Fei Du, Yading Yue, Yu Liang:
A Novel APP Recommendation Method Based on SVD and Social Influence. ICA3PP (2) 2015: 269-281 - 2012
- [j7]Yuan-Chun Jiang, Yezheng Liu:
Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation. Int. J. Inf. Technol. Decis. Mak. 11(5): 961-982 (2012) - 2011
- [j6]Xiao Liu, Zhiwei Ni, Dong Yuan, Yuan-Chun Jiang, Zhangjun Wu, Jinjun Chen, Yun Yang:
A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems. J. Syst. Softw. 84(3): 354-376 (2011) - [j5]Yuan-Chun Jiang, Jennifer Shang, Chris F. Kemerer, Yezheng Liu:
Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles. Mark. Sci. 30(4): 737-752 (2011) - [j4]Xiao Liu, Yun Yang, Yuan-Chun Jiang, Jinjun Chen:
Preventing Temporal Violations in Scientific Workflows: Where and How. IEEE Trans. Software Eng. 37(6): 805-825 (2011) - 2010
- [j3]Yuan-Chun Jiang, Jennifer Shang, Yezheng Liu:
Maximizing customer satisfaction through an online recommendation system: A novel associative classification model. Decis. Support Syst. 48(3): 470-479 (2010) - [j2]Yuan-Chun Jiang, Yezheng Liu, Xiao Liu, Shanling Yang:
Integrating classification capability and reliability in associative classification: A beta-stronger model. Expert Syst. Appl. 37(5): 3953-3961 (2010)
2000 – 2009
- 2008
- [j1]Ye-Zheng Liu, Yuan-Chun Jiang, Xiao Liu, Shanlin Yang:
CSMC: A combination strategy for multi-class classification based on multiple association rules. Knowl. Based Syst. 21(8): 786-793 (2008) - 2007
- [c1]Yuan-Chun Jiang, Ye-Zheng Liu, Xiao Liu, Jie-Kui Zhang:
Constructing Associative Classifier Using Rough Sets and Evidence Theory. RSFDGrC 2007: 263-271
Coauthor Index
[j55] [j53] [j51] [j50] [i5] [i4] [i3] [j46] [j45] [j44] [j43] [j42] [c21] [c20] [j40] [j39] [j38] [j37] [j35] [j34] [c19] [c18] [c17] [j32] [j31] [c16] [j29] [j28] [j27] [j26] [j25] [j24] [c14] [i2] [j23] [j22] [j21] [j20] [c13] [c12] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [c11] [c10] [i1] [j10] [j9] [c8] [c7] [c6] [c4] [c3] [j7] [j5] [j3] [j2] [j1] [c1]
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