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2020 – today
- 2024
[j30]Yadong Xiao, Jiajin Huang, Jian Yang:
HFNF: learning a hybrid Fourier neural filter with a heterogeneous loss for sequential recommendation. Appl. Intell. 54(11-12): 283-300 (2024)- [j29]Jianan Xu
, Jiajin Huang, Jianwei Zhao, Jian Yang:
HyNCF: A hybrid normalization strategy via feature statistics for collaborative filtering. Expert Syst. Appl. 238(Part B): 121875 (2024) - [j28]Yadong Xiao, Jiajin Huang, Jian Yang:
TFCSRec: Time-frequency consistency based contrastive learning for sequential recommendation. Expert Syst. Appl. 245: 123118 (2024) - [j27]Ziheng Gao, Jiajin Huang, Jianhui Chen, Haiyan Zhou:
FAformer: parallel Fourier-attention architectures benefits EEG-based affective computing with enhanced spatial information. Neural Comput. Appl. 36(8): 3903-3919 (2024) - [j26]Yongshuai Zhang, Jiajin Huang, Jian Yang:
Disentangled Variational Autoencoder for Social Recommendation. Neural Process. Lett. 56(3): 159 (2024) - [j25]Chao Gao, Hao Liu, Jiajin Huang, Zhen Wang, Xianghua Li, Xuelong Li:
Regularized Spatial-Temporal Graph Convolutional Networks for Metro Passenger Flow Prediction. IEEE Trans. Intell. Transp. Syst. 25(9): 11241-11255 (2024) - 2023
- [j24]Haoning Kan, Jiale Yu, Jiajin Huang, Zihe Liu, Heqian Wang, Haiyan Zhou:
Self-supervised group meiosis contrastive learning for EEG-based emotion recognition. Appl. Intell. 53(22): 27207-27225 (2023) - [j23]Shu Yin, Peican Zhu, Xinyu Wu, Jiajin Huang, Xianghua Li, Zhen Wang, Chao Gao:
Integrating information by Kullback-Leibler constraint for text classification. Neural Comput. Appl. 35(24): 17521-17535 (2023) - [j22]Jianan Xu, Jiajin Huang, Jian Yang, Ning Zhong:
M2GCF: A multi-mixing strategy for graph neural network based collaborative filtering. Web Intell. 21(2): 149-166 (2023) - 2022
- [j21]Huanhuan Yuan, Jian Yang, Jiajin Huang:
Improving hypergraph convolution network collaborative filtering with feature crossing and contrastive learning. Appl. Intell. 52(9): 10220-10233 (2022) - [j20]Bin Chen, Li Yu, Weiyi Luo, Chizhong Wu, Manyu Li, Hai Tan, Jiajin Huang, Zhijiang Wan:
Hybrid tree model for root cause analysis of wireless network fault localization. Web Intell. 20(3): 213-223 (2022) - [c41]Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang, Qi Xuan:
A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation. WWW 2022: 1372-1380 - [i1]Haoning Kan, Jiale Yu, Jiajin Huang, Zihe Liu, Haiyan Zhou:
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition. CoRR abs/2208.00877 (2022) - 2021
- [j19]Xiaohui Tao, Oliver Chi, Patrick J. Delaney, Lin Li, Jiajin Huang:
Detecting depression using an ensemble classifier based on Quality of Life scales. Brain Informatics 8(1): 2 (2021) - [j18]Yishan He, Jiajin Huang, Gaowei Wu, Jian Yang:
Exploring highly reliable substructures in auto-reconstructions of a neuron. Brain Informatics 8(1): 17 (2021) - [j17]Bin Yang, Jiajin Huang, Gaowei Wu, Jian Yang:
Classifying the tracing difficulty of 3D neuron image blocks based on deep learning. Brain Informatics 8(1): 25 (2021) - [j16]Haiqiang Wang, Yinying Wu, Chao Gao, Yue Deng, Fan Zhang, Jiajin Huang, Jiming Liu:
Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution. IEEE J. Biomed. Health Informatics 25(10): 3995-4004 (2021) - [c40]Kai Deng, Jiajin Huang, Jin Qin:
Box4Rec: Box Embedding for Sequential Recommendation. PAKDD (2) 2021: 537-548 - [c39]Huanhuan Yuan, Jian Yang, Jiajin Huang, Ning Zhong:
Probabilistic Embedding for Collaborative Reasoning. WI/IAT 2021: 25-31 - 2020
- [j15]Zhijiang Wan, Jiajin Huang, Hao Zhang, Haiyan Zhou, Jie Yang, Ning Zhong:
HybridEEGNet: A Convolutional Neural Network for EEG Feature Learning and Depression Discrimination. IEEE Access 8: 30332-30342 (2020) - [j14]Hang Xiong, Tobias Dalhaus, Puqing Wang, Jiajin Huang:
Blockchain Technology for Agriculture: Applications and Rationale. Frontiers Blockchain 3: 7 (2020) - [j13]Jin Yi, Jiajin Huang, Jin Qin:
Adversarial auto-encoder for rating prediction with ratings and reviews. Web Intell. 18(4): 285-294 (2020) - [c38]Kai Deng, Jiajin Huang, Jin Qin:
HybridGNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation. ICDM (Workshops) 2020: 136-143 - [c37]Kai Deng, Jiajin Huang, Jin Qin:
GCN-ICF: Graph Convolution Networks for Item-based Recommendation. WI/IAT 2020: 98-104
2010 – 2019
- 2019
- [j12]Zhijiang Wan, Hao Zhang, Jiajin Huang, Haiyan Zhou, Jie Yang, Ning Zhong:
Single-Channel EEG-Based Machine Learning Method for Prescreening Major Depressive Disorder. Int. J. Inf. Technol. Decis. Mak. 18(5): 1579-1603 (2019) - [c36]Xiaofei Zhang, Ruohao Liu, Jiajin Huang, Yang Yang, Hongzhi Kuai, Ning Zhong:
Connectivity Shifted Cerebral Regions as Seeds for Mental Arithmetic Cognitive State Classification. AIAM (IEEE) 2019: 364-369 - [c35]Ruohao Liu, Ning Zhong, Xiaofei Zhang, Yang Yang, Jiajin Huang:
Classification of Mental Arithmetic Cognitive States Based on CNN and FBN. BI 2019: 220-230 - [c34]Shun Zhang, Ying Sheng, Jiangfan Gao, Jianhui Chen, Jiajin Huang, Shaofu Lin:
A Multi-domain Named Entity Recognition Method Based on Part-of-Speech Attention Mechanism. ChineseCSCW 2019: 631-644 - [c33]Jin Yi, Jiajin Huang, Jin Qin, Yuan Luo:
Joint Heterogeneous Pair-wise Loss For Top-N Recommendation. WI 2019: 188-191 - 2018
- [j11]Jian Wang, Jiajin Huang, Ning Zhong:
Exploiting item-item relations to improve review-based rating prediction. Web Intell. 16(1): 1-13 (2018) - [c32]Zhaoqiang Li, Jiajin Huang, Ning Zhong:
Leveraging Reconstructive Profiles of Users and Items for Tag-Aware Recommendation. ICDM Workshops 2018: 1294-1299 - [c31]Jin Yi, Jiajin Huang, Jin Qin:
Rating Prediction in Review-Based Recommendations via Adversarial Auto-Encoder. WI 2018: 144-149 - [c30]Liqing Liu, Haiyan Zhou, Minghui Zhang, Jiajin Huang, Lei Feng, Ning Zhong:
Resting EEG Features and Their Application in Depressive Disorders. WI 2018: 318-322 - 2017
- [j10]Chao Gao, Shi Chen, Xianghua Li, Jiajin Huang, Zili Zhang:
A Physarum-inspired optimization algorithm for load-shedding problem. Appl. Soft Comput. 61: 239-255 (2017) - [j9]Jiajin Huang, Jian Wang, Yiyu Yao, Ning Zhong:
Cost-sensitive three-way recommendations by learning pair-wise preferences. Int. J. Approx. Reason. 86: 28-40 (2017) - [j8]Jian Wang, Jiajin Huang:
LDA-RR: 一种基于评分和评论的推荐方法 (LDA-RR: A Recommendation Method Based on Ratings and Reviews). 计算机科学 44(2): 267-269 (2017) - [c29]Jiajin Huang, Jian Wang, Ning Zhong:
A Poisson Regression Method for Top-N Recommendation. SIGIR 2017: 885-888 - [c28]Zhaoqiang Li, Jiajin Huang, Ning Zhong:
Exploiting user and item embedding in latent factor models for recommendations. WI 2017: 1241-1245 - 2016
- [j7]Jiajin Huang, Kunlei Zhu, Ning Zhong:
A probabilistic inference model for recommender systems. Appl. Intell. 45(3): 686-694 (2016) - [c27]Youjun Li, Haiyan Zhou, Jianhui Chen, Jiajin Huang, Meng Chen, Yan Liu, Ning Zhong:
Human Emotion Variation Analysis Based on EEG Signal and POMS Scale. BIH 2016: 75-84 - [c26]Kunlei Zhu, Jiajin Huang, Ning Zhong:
Exploiting Group Pairwise Preference Influences for Recommendations. IJCRS 2016: 429-438 - [c25]Ce Cheng, Jiajin Huang, Ning Zhong:
Point-of-Interest Recommendations by Unifying Multiple Correlations. WAIM (1) 2016: 178-190 - [c24]Jiajin Huang, Ning Zhong:
Leveraging Item Connections to Improve Social Recommendations with Ratings and Reviews. WI 2016: 185-191 - [p4]Erzhong Zhou, Ning Zhong, Yuefeng Li, Jiajin Huang:
Hot Topic Detection in News Blog Based on W2T Methodology. Semantic Web Technologies for Intelligent Engineering Applications 2016: 237-258 - [p3]Hui Wang, Jiajin Huang, Erzhong Zhou, Zhisheng Huang, Ning Zhong:
Suitable Route Recommendation Inspired by Cognition. Semantic Web Technologies for Intelligent Engineering Applications 2016: 303-322 - [p2]Haiyuan Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang, Yuzhong Han, Feng Zhang:
A Monitoring System for the Safety of Building Structure Based on W2T Methodology. Semantic Web Technologies for Intelligent Engineering Applications 2016: 323-335 - 2015
- [j6]Haiyuan Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang, Yuzhong Han, Feng Zhang:
An Intelligent Monitoring System for the Safety of Building Structure under the W2T Framework. Int. J. Distributed Sens. Networks 11: 378694:1-378694:16 (2015) - [j5]Jiajin Huang, Xi Yuan, Ning Zhong, Yiyu Yao:
Modeling Tag-Aware Recommendations Based on User Preferences. Int. J. Inf. Technol. Decis. Mak. 14(5): 947-970 (2015) - [j4]Erzhong Zhou, Jiajin Huang, Xinxin Xu:
一种基于用户网络签到行为的地点推荐方法 (Approach to Place Recommendation Based on User Check-in Behavior in Online Network). 计算机科学 42(10): 232-234 (2015) - [j3]Hui Wang, Jiajin Huang, Erzhong Zhou, Zhisheng Huang, Ning Zhong:
Cognition-inspired route evaluation using mobile phone data. Nat. Comput. 14(4): 637-648 (2015) - [c23]Erzhong Zhou, Jiajin Huang, Xinxin Xu:
A Point-of-Interest Recommendation Method Based on User Check-in Behaviors in Online Social Networks. CSoNet 2015: 160-171 - [c22]Kunlei Zhu, Jiajin Huang, Ning Zhong:
GPS-Based Location Recommendation Using a Belief Network Model. KSEM 2015: 721-731 - [c21]Ning Zhong, Jiajin Huang:
Granular Structures Induced by Interval Sets and Rough Sets. RSFDGrC 2015: 49-60 - [c20]Ce Cheng, Jiajin Huang, Ning Zhong:
Unifying Geographical Influence in Recommender Systems via Matrix Factorization. WI-IAT (3) 2015: 84-87 - [c19]Youjun Li, Zhijiang Wan, Jiajin Huang, Jianhui Chen, Zhisheng Huang, Ning Zhong:
A Smart Hospital Information System for Mental Disorders. WI-IAT (1) 2015: 321-324 - 2014
- [j2]Jiajin Huang, Ning Zhong, Yiyu Yao:
A Unified Framework of Targeted Marketing using Customer Preferences. Comput. Intell. 30(3): 451-472 (2014) - [c18]Lu Zhong, Chao Gao, Zili Zhang, Ning Shi, Jiajin Huang:
Identifying Influential Nodes in Complex Networks: A Multiple Attributes Fusion Method. AMT 2014: 11-22 - [c17]Hui Wang, Ning Zhong, Zhisheng Huang, Jiajin Huang, Erzhong Zhou, Runqiang Du:
Detecting Stay Areas from a User's Mobile Phone Data for Urban Computing. AMT 2014: 336-346 - [c16]Liangliang Zhao, Jiajin Huang, Ning Zhong:
A Context-Aware Recommender System with a Cognition Inspired Model. RSKT 2014: 613-622 - 2013
- [c15]Ning Shi, Chao Gao, Zili Zhang, Lu Zhong, Jiajin Huang:
The Spontaneous Behavior in Extreme Events: A Clustering-Based Quantitative Analysis. ADMA (1) 2013: 336-347 - [c14]Xi Yuan, Jiajin Huang, Ning Zhong:
Preference Structure and Similarity Measure in Tag-Based Recommender Systems. AMT 2013: 193-202 - [c13]Hui Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang:
Semantically Modeling Mobile Phone Data for Urban Computing. AMT 2013: 203-210 - [c12]Xiaolong Guo, Jiajin Huang:
A self-organization method for discovering communities in a distributed network. ICNC 2013: 90-94 - [c11]Runqiang Du, Jiajin Huang, Zhisheng Huang, Hui Wang, Ning Zhong:
A System to Generate Mobile Data Based on Real User Behavior. WISE Workshops 2013: 48-61 - 2012
- [c10]Erzhong Zhou, Ning Zhong, Yuefeng Li, Jiajin Huang:
Hot Topic Detection in News Blogs from the Perspective of W2T. AMT 2012: 22-31 - [c9]Xi Yuan, Jiajin Huang:
An Adaptive Method for the Tag-Rating-Based Recommender System. AMT 2012: 206-214 - [c8]Xiaolong Guo, Jiajin Huang:
A Self-organization Method for Reorganizing Resources in a Distributed Network. AMT 2012: 348-356
2000 – 2009
- 2008
- [c7]Jia Hu, Ning Zhong, Shengfu Lu, Haiyan Zhou, Jiajin Huang:
A Human-Web Interaction Based Trust Model for Trustworthy Web Software Development. Web Intelligence 2008: 914-917 - [p1]Jiajin Huang, Ning Zhong:
A Unified Probabilistic Inference Model for Targeted Marketing. Communications and Discoveries from Multidisciplinary Data 2008: 171-186 - 2005
- [c6]Jiajin Huang, Chunnian Liu, Dejun Qiu:
On applying inductive logic programming to the Web. AMT 2005: 335-338 - [c5]Jiajin Huang, Ning Zhong, Yiyu Yao, Chunnian Liu:
A General Framework of Targeted Marketing. AWIC 2005: 197-203 - 2004
- [c4]Ning Zhong, Chunnian Liu, Yiyu Yao, Muneaki Ohshima, Mingxin Huang, Jiajin Huang:
Relational Peculiarity Oriented Data Mining. ICDM 2004: 575-578 - [c3]Jiajin Huang, Ning Zhong, Chunnian Liu, Yiyu Yao:
Adaptive Linear Market Value Functions for Targeted Marketing. Rough Sets and Current Trends in Computing 2004: 743-751 - [c2]Jiajin Huang, Ning Zhong, Chunnian Liu, Yiyu Yao, Dejun Qiu, Chuangxin Ou:
TMS: Targeted Marketing System Based on Market Value Functions. Web Intelligence 2004: 775-776 - 2003
- [c1]Jiajin Huang, Chunnian Liu, Chuangxin Ou, Yiyu Yao, Ning Zhong:
Attribute Reduction of Rough Sets in Mining Market Value Functions. Web Intelligence 2003: 470-473 - 2002
- [j1]Yiyu Yao, Ning Zhong, Jiajin Huang, Chuangxin Ou, Chunnian Liu:
Using Market Value Functions for Targeted Marketing Data Mining. Int. J. Pattern Recognit. Artif. Intell. 16(8): 1117-1132 (2002)
Coauthor Index
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