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Fuzhen Zhuang
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Publications
- 2023
- [j77]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He:
Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. 17(1): 171305 (2023) - [j74]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2809-2822 (2023) - [j73]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4321-4334 (2023) - [c152]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE 2023: 3803-3804 - [c139]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [c138]Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou:
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR 2023: 2149-2153 - [i70]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023) - 2022
- [j63]Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He:
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59(6): 103067 (2022) - [j62]Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He:
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591: 226-234 (2022) - [j56]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3549-3568 (2022) - [c135]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI 2022: 4345-4353 - [c134]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He:
Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) 2022: 104-123 - [c131]Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM 2022: 2529-2538 - [c129]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) 2022: 166-182 - [c122]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. ECML/PKDD (2) 2022: 740-756 - [c121]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR 2022: 223-233 - [c119]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. SIGIR 2022: 2657-2662 - [c118]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM 2022: 1507-1515 - [i59]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR abs/2201.00014 (2022) - [i58]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He:
Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR abs/2201.01002 (2022) - [i56]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR abs/2201.01004 (2022) - [i52]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR abs/2203.10576 (2022) - [i51]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR abs/2204.09263 (2022) - [i47]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. CoRR abs/2205.04682 (2022) - [i46]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompts for Sequential Recommendation. CoRR abs/2205.09666 (2022) - [i42]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. CoRR abs/2207.00814 (2022) - 2021
- [j51]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He:
Knowledge graph embedding with shared latent semantic units. Neural Networks 139: 140-148 (2021) - [j50]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. Proc. IEEE 109(1): 43-76 (2021) - [j49]Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. 33(7): 2903-2913 (2021) - [j47]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1713-1722 (2021) - [c113]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI 2021: 14957-14965 - [c111]Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He:
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM 2021: 3498-3502 - [c110]Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM 2021: 3508-3512 - [c106]Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye:
BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. ICONIP (4) 2021: 40-50 - [c105]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI 2021: 2235-2241 - [c100]Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong:
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS 2021: 17221-17234 - [c98]Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He:
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) 2021: 536-547 - [c96]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR 2021: 1813-1817 - [c95]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong:
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW 2021: 3827-3838 - [i35]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He:
Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR abs/2101.11354 (2021) - [i34]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR abs/2105.04785 (2021) - [i30]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR abs/2106.08732 (2021) - [i29]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. CoRR abs/2106.09388 (2021) - [i27]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR abs/2110.11154 (2021) - [i25]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR abs/2111.06103 (2021) - [i22]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR abs/2112.13510 (2021) - [i21]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR abs/2112.15285 (2021) - [i20]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. CoRR abs/2112.15290 (2021) - [i19]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR abs/2112.15292 (2021) - 2020
- [j45]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. 93: 101364 (2020) - [j44]Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong:
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. 35(2): 305-319 (2020) - [j43]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. 109(2): 219-249 (2020) - [j41]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks 132: 75-83 (2020) - [c94]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He:
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI 2020: 9612-9619 - [c93]Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He:
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML 2020: 177-192 - [c89]Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI 2020: 529-536 - [c88]Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He:
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM 2020: 1334-1339 - [c85]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR 2020: 1893-1896 - [c84]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW 2020: 928-938 - [c82]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW 2020: 3133-3139 - [i18]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 (2020) - [i16]Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He:
Graph Factorization Machines for Cross-Domain Recommendation. CoRR abs/2007.05911 (2020) - [i14]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR abs/2008.05600 (2020) - 2019
- [j36]Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin:
Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. 13(6): 1255-1265 (2019) - [j35]Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong:
Knowledge triple mining via multi-task learning. Inf. Syst. 80: 64-75 (2019) - [j34]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. 81: 178 (2019) - [j33]Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He:
Supervised representation learning for multi-label classification. Mach. Learn. 108(5): 747-763 (2019) - [j30]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He:
Multi-representation adaptation network for cross-domain image classification. Neural Networks 119: 214-221 (2019) - [j29]Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He:
Grid-based DBSCAN: Indexing and inference. Pattern Recognit. 90: 271-284 (2019) - [c81]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI 2019: 5458-5465 - [c73]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD 2019: 1625-1633 - [c70]Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He:
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) 2019: 110-122 - [c67]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Recommendations. WWW 2019: 1421-1431 - [i11]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. CoRR abs/1910.04420 (2019) - [i10]Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. CoRR abs/1910.05250 (2019) - [i9]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. CoRR abs/1911.02685 (2019) - [i8]Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He:
Transfer Learning Toolkit: Primers and Benchmarks. CoRR abs/1911.08967 (2019) - 2018
- [j27]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018) - [j25]Ning Li, Wenjuan Luo, Kun Yang, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Self-organizing weighted incremental probabilistic latent semantic analysis. Int. J. Mach. Learn. Cybern. 9(12): 1987-1998 (2018) - [j24]Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He:
Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks 108: 287-295 (2018) - [j23]Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing He:
Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE Trans. Cybern. 48(8): 2284-2293 (2018) - [j22]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(2): 16:1-16:17 (2018) - [j21]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. 30(3): 530-543 (2018) - [c65]Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He:
MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM 2018: 1715-1718 - [c64]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He:
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP 2018: 3198-3207 - [c62]Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He:
A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM 2018: 1001-1006 - [c57]Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He:
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD 2018: 2269-2278 - [c55]Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He:
Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR 2018: 909-912 - [i7]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Bandits. CoRR abs/1802.04162 (2018) - [i6]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Cross-domain novelty seeking trait mining for sequential recommendation. CoRR abs/1803.01542 (2018) - 2017
- [j19]Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He:
Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90: 83-89 (2017) - [c53]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86 - [c52]Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI 2017: 1830-1836 - [c51]Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He:
Transfer Learning with Manifold Regularized Convolutional Neural Network. KSEM 2017: 483-494 - [c50]Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM 2017: 567-575 - [c49]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) 2017: 881-882 - 2016
- [j18]Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He:
Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. 20(5): 1085-1099 (2016) - [c47]Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He:
Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340 - [c46]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI 2016: 1555-1561 - [c43]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) 2016: 148-164 - 2015
- [j16]Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel sampling from big data with uncertainty distribution. Fuzzy Sets Syst. 258: 117-133 (2015) - [j15]Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Learning deep representations via extreme learning machines. Neurocomputing 149: 308-315 (2015) - [j13]Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi:
QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. 51(1): 25-41 (2015) - [c41]Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi:
Bayesian Maximum Margin Principal Component Analysis. AAAI 2015: 2582-2588 - [c40]Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He:
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM 2015: 113-122 - [c39]Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He:
Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015: 1847-1850 - [c38]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Online Frequent Episode Mining. ICDE 2015: 891-902 - [c37]Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He:
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM 2015: 1141-1146 - [c36]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125 - [c35]Tianshu Feng, Fuzhen Zhuang, Qing He:
Improving ESVM with Generalized Cross-Validation. IJCNN 2015: 1-8 - [c34]Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang:
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015: 945-953 - 2014
- [j12]Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi:
Clustering in extreme learning machine feature space. Neurocomputing 128: 88-95 (2014) - [j11]Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. 257: 101-114 (2014) - [j10]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong:
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybern. 44(7): 1191-1203 (2014) - [c33]Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He:
Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM 2014: 441-450 - [c32]Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He:
Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI 2014: 255-260 - [c31]Qing He, Xiaohu Cheng, Fuzhen Zhuang, Zhongzhi Shi:
Parallel feature selection using positive approximation based on MapReduce. FSKD 2014: 397-402 - [c30]Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi:
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. ICDM 2014: 380-389 - [c29]Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. PAKDD (1) 2014: 65-77 - [c28]Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi:
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) 2014: 417-431 - [c27]Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi:
Scalable bootstrap clustering for massive data. SNPD 2014: 1-6 - [c26]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Discovering and learning sensational episodes of news events. WWW (Companion Volume) 2014: 217-218 - 2013
- [j8]Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel extreme learning machine for regression based on MapReduce. Neurocomputing 102: 52-58 (2013) - [j7]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. Knowl. Based Syst. 46: 33-42 (2013) - [c25]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb 2013: 384-391 - [c24]Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi:
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013: 1960-1967 - [c23]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
Extreme Learning Machine combining matrix factorization for collaborative filtering. IJCNN 2013: 1-8 - [c22]Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013: 208-223 - [c21]Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi:
Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) 2013: 353-368 - [c20]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi:
Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM 2013: 425-434 - 2012
- [j6]Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi:
Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. 199: 20-30 (2012) - [j5]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE Trans. Knowl. Data Eng. 24(11): 2025-2039 (2012) - [j4]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". IEEE Trans. Knowl. Data Eng. 24(12): 2301 (2012) - [c19]Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
TINAC: A fast and effective web video topic detection framework. FSKD 2012: 1252-1256 - [c18]Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM 2012: 191-200 - [c17]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) 2012: 215-219 - [c16]Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Constructing Reliable Data for Cross-Domain Text Classification. Intelligent Information Processing 2012: 16-27 - [c14]Ning Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. Intelligent Information Processing 2012: 40-49 - [c13]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel Decision Tree with Application to Water Quality Data Analysis. ISNN (2) 2012: 628-637 - [c12]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) 2012: 392-404 - 2011
- [j3]Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
A parallel incremental extreme SVM classifier. Neurocomputing 74(16): 2532-2540 (2011) - [j2]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting associations between word clusters and document classes for cross-domain text categorization. Stat. Anal. Data Min. 4(1): 100-114 (2011) - [c11]Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom 2011: 75-80 - [c10]Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI 2011: 1396-1401 - 2010
- [j1]Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi:
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. 22(12): 1664-1678 (2010) - [c9]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Leveraging Entropy and Relevance for Summarization. AIRS 2010: 241-250 - [c8]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM 2010: 359-368 - [c7]Tingting Li, Fuzhen Zhuang, Qing He:
A noise handling method for hyper surface classification. FSKD 2010: 1484-1488 - [c6]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi:
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM 2010: 709-718 - [c5]Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi:
Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) 2010: 404-412 - [c4]Qing He, Fuzhen Zhuang, Jincheng Li, Zhongzhi Shi:
Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT 2010: 655-662 - [c3]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM 2010: 13-24 - 2008
- [c2]Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He:
Transfer learning from multiple source domains via consensus regularization. CIKM 2008: 103-112 - [c1]Qing He, Fuzhen Zhuang, Zhongzhi Shi:
The Data Selection Criteria for HSC and SVM Algorithms. ICNC (3) 2008: 384-388
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