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2020 – today
- 2021
[j30]Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu, Xiaoli Li
:
Entity set expansion in knowledge graph: a heterogeneous information network perspective. Frontiers Comput. Sci. 15(1): 151307 (2021)- [i23]Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. CoRR abs/2101.00797 (2021) - [i22]Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. CoRR abs/2101.11859 (2021) - 2020
- [j29]Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao:
Graph neural news recommendation with long-term and short-term interest modeling. Inf. Process. Manag. 57(2): 102142 (2020) - [j28]Yugang Ji, Chuan Shi, Yuan Fang, Xiangnan Kong, Mingyang Yin:
Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks. Inf. Process. Manag. 57(6): 102338 (2020) - [j27]Linmei Hu, Jiayu Ding, Chuan Shi, Chao Shao, Shaohua Li:
Graph neural entity disambiguation. Knowl. Based Syst. 195: 105620 (2020) - [j26]Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi:
Embedding geographic information for anomalous trajectory detection. World Wide Web 23(5): 2789-2809 (2020) - [c107]Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. AAAI 2020: 4361-4368 - [c106]Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng:
FlowScope: Spotting Money Laundering Based on Graphs. AAAI 2020: 4731-4738 - [c105]Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. AAAI 2020: 6267-6274 - [c104]Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou:
Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL 2020: 4255-4264 - [c103]Shuang Mo, Yifei Wang, Ding Xiao, Wenrui Wu, Shaohua Fan, Chuan Shi:
Encrypted Traffic Classification Using Graph Convolutional Networks. ADMA 2020: 207-219 - [c102]Mingjun Ma, Bo Peng, Ding Xiao, Yugang Ji, Chuan Shi:
STCNet: Spatial-Temporal Convolution Network for Traffic Speed Prediction. ADMA 2020: 315-323 - [c101]Jing Zhang, Yangli-ao Geng, Qingyong Li, Chuan Shi:
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. CIKM 2020: 1803-1812 - [c100]Zhiqiang Zhang, Jun Zhou, Chuan Shi:
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. CIKM 2020: 3485-3488 - [c99]Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao:
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market. ICDM 2020: 132-141 - [c98]Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang:
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. ICDM 2020: 791-800 - [c97]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. ICDM 2020: 1310-1315 - [c96]Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye:
Network Schema Preserving Heterogeneous Information Network Embedding. IJCAI 2020: 1366-1372 - [c95]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. IJCAI 2020: 2177-2183 - [c94]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. KDD 2020: 1243-1253 - [c93]Yuanfu Lu, Yuan Fang, Chuan Shi:
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. KDD 2020: 1563-1573 - [c92]Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin:
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. ECML/PKDD (4) 2020: 3-18 - [c91]Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi:
Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation. ECML/PKDD (3) 2020: 314-329 - [c90]Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi:
Multiplex Memory Network for Collaborative Filtering. SDM 2020: 91-99 - [c89]Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. WWW 2020: 1400-1410 - [c88]Shaohua Fan, Xiao Wang, Chuan Shi, Emiao Lu, Ken Lin, Bai Wang:
One2Multi Graph Autoencoder for Multi-view Graph Clustering. WWW 2020: 3070-3076 - [i21]Deyu Bo, Xiao Wang, Chuan Shi, Meiqi Zhu, Emiao Lu, Peng Cui:
Structural Deep Clustering Network. CoRR abs/2002.01633 (2020) - [i20]Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang:
Decorrelated Clustering with Data Selection Bias. CoRR abs/2006.15874 (2020) - [i19]Xiao Wang, Meiqi Zhu, Deyu Bo, Peng Cui, Chuan Shi, Jian Pei:
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks. CoRR abs/2007.02265 (2020) - [i18]Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou:
Heterogeneous Graph Neural Network for Recommendation. CoRR abs/2009.00799 (2020) - [i17]Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu:
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference. CoRR abs/2010.02602 (2020) - [i16]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. CoRR abs/2011.14867 (2020) - [i15]Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi:
Learning Node Representations from Noisy Graph Structures. CoRR abs/2012.02434 (2020)
2010 – 2019
- 2019
- [j25]Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Pengcheng Sheng:
On Balancing Neighborhood and Global Replacement Strategies in MOEA/D. IEEE Access 7: 45274-45290 (2019) - [j24]Jianwei Liu, Chuan Shi:
Optimization of Network-Based Caching and Forwarding Using Mobile Edge Computing. IEEE Access 7: 181855-181866 (2019) - [j23]Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu:
Heterogeneous Information Network Embedding for Recommendation. IEEE Trans. Knowl. Data Eng. 31(2): 357-370 (2019) - [j22]Chuan Shi, Zhiqiang Zhang, Yugang Ji, Weipeng Wang, Philip S. Yu, Zhiping Shi:
SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks. World Wide Web 22(1): 153-184 (2019) - [c87]Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI 2019: 946-953 - [c86]Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. AAAI 2019: 4456-4463 - [c85]Xiao Wang, Yiding Zhang, Chuan Shi:
Hyperbolic Heterogeneous Information Network Embedding. AAAI 2019: 5337-5344 - [c84]Yun-Yao Cheng, Bin Wu, Li Song, Chuan Shi:
Spatial-Temporal Recurrent Neural Network for Anomalous Trajectories Detection. ADMA 2019: 565-578 - [c83]Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi:
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. APWeb/WAIM (1) 2019: 95-109 - [c82]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CIKM 2019: 469-478 - [c81]Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi:
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. CIKM 2019: 549-558 - [c80]Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye:
Author Set Identification via Quasi-Clique Discovery. CIKM 2019: 771-780 - [c79]Chuan Shi, Philip S. Yu:
Recent Developments of Deep Heterogeneous Information Network Analysis. CIKM 2019: 2973-2974 - [c78]Chuan Shi, Yanfang Ye, Jiawei Zhang:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM 2019: 2991-2992 - [c77]Jiayu Ding, Xiaohuan Cao, Linmei Hu, Chuan Shi:
Meta-Path based Text Feature Enrichment Using Knowledge Graph. DSC 2019: 649-655 - [c76]Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang:
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP/IJCNLP (1) 2019: 3819-3827 - [c75]Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li:
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP/IJCNLP (1) 2019: 4820-4829 - [c74]Xiaojun Yang, Zhongfu Xu, Chuan Shi, Hao Lei, Changwei Yan:
Credibility Assessment of Simulation Models Using Hesitant Cloud Linguistic Term Sets. ICNC-FSKD 2019: 856-863 - [c73]Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu:
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow. IJCAI 2019: 2272-2278 - [c72]Luhao Zhang, Linmei Hu, Chuan Shi:
Incorporating Instance Correlations in Distantly Supervised Relation Extraction. JIST 2019: 177-191 - [c71]Binbin Hu, Yuan Fang, Chuan Shi:
Adversarial Learning on Heterogeneous Information Networks. KDD 2019: 120-129 - [c70]Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li:
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. KDD 2019: 2478-2486 - [c69]Dedong Li, Aimin Zhou, Chuan Shi:
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation. PAKDD (3) 2019: 15-26 - [c68]Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu:
Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. PAKDD (1) 2019: 160-171 - [c67]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, Philip S. Yu:
Heterogeneous Graph Attention Network. WWW 2019: 2022-2032 - [c66]Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong:
Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network. WWW 2019: 3448-3454 - [i14]Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, Philip S. Yu, Yanfang Ye:
Heterogeneous Graph Attention Network. CoRR abs/1903.07293 (2019) - [i13]Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. CoRR abs/1905.08027 (2019) - [i12]Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye:
Temporal Network Embedding with Micro- and Macro-dynamics. CoRR abs/1909.04246 (2019) - [i11]Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. CoRR abs/1909.06627 (2019) - [i10]Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao:
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling. CoRR abs/1910.14025 (2019) - [i9]Yilun Jin, Guojie Song, Chuan Shi:
GraLSP: Graph Neural Networks with Local Structural Patterns. CoRR abs/1911.07675 (2019) - [i8]Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li:
Multi-Component Graph Convolutional Collaborative Filtering. CoRR abs/1911.10699 (2019) - [i7]Yiding Zhang, Xiao Wang, Xunqiang Jiang, Chuan Shi, Yanfang Ye:
Hyperbolic Graph Attention Network. CoRR abs/1912.03046 (2019) - 2018
- [j21]Ding Xiao, Yugang Ji, Yitong Li, Fuzhen Zhuang, Chuan Shi:
Coupled matrix factorization and topic modeling for aspect mining. Inf. Process. Manag. 54(6): 861-873 (2018) - [j20]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) - [j19]Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S. Yu:
MFPR: A Personalized Ranking Recommendation with Multiple Feedback. ACM Trans. Soc. Comput. 1(2): 7:1-7:22 (2018) - [c65]Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi:
Anomalous Trajectory Detection Using Recurrent Neural Network. ADMA 2018: 263-277 - [c64]Xin Wan, Chen Li, Ruijia Wang, Ding Xiao, Chuan Shi:
Abstractive Document Summarization via Bidirectional Decoder. ADMA 2018: 364-377 - [c63]Menghao Zhang, Binbin Hu, Chuan Shi, Bin Wu, Bai Wang:
Matrix Factorization Meets Social Network Embedding for Rating Prediction. APWeb/WAIM (1) 2018: 121-129 - [c62]Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu:
Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. APWeb/WAIM (1) 2018: 181-188 - [c61]Xiaoji Chen, Chuan Shi, Aimin Zhou, Siyong Xu, Bin Wu:
A Hybrid Replacement Strategy for MOEA/D. BIC-TA (1) 2018: 246-262 - [c60]Yang Xiao, Ding Xiao, Binbin Hu, Chuan Shi:
ANE: Network Embedding via Adversarial Autoencoders. BigComp 2018: 66-73 - [c59]Shaohua Fan, Chuan Shi, Xiao Wang:
Abnormal Event Detection via Heterogeneous Information Network Embedding. CIKM 2018: 1483-1486 - [c58]Binbin Hu, Chuan Shi, Wayne Xin Zhao, Tianchi Yang:
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network. CIKM 2018: 1683-1686 - [c57]Michael D'Antonio, Chuan Shi, Bin Wu, Alireza Khaligh:
Design and Optimization of a Solar Power Conversion System for Space Applications. ISA 2018: 1-8 - [c56]Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng:
NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI 2018: 3315-3321 - [c55]Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song:
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI 2018: 3393-3399 - [c54]Chuan Shi, Yang Zhang, Lihuang Wang:
The Design and Research on a Target Tracking Arithmetic Under Complex Background. ISCID (1) 2018: 225-228 - [c53]Binbin Hu, Chuan Shi, Wayne Xin Zhao, Philip S. Yu:
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model. KDD 2018: 1531-1540 - [c52]Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li, Bin Wu:
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph. PAKDD (2) 2018: 288-299 - [c51]Houye Ji, Chuan Shi, Bai Wang:
Attention Based Meta Path Fusion for Heterogeneous Information Network Embedding. PRICAI (1) 2018: 348-360 - 2017
- [b1]Chuan Shi, Philip S. Yu:
Heterogeneous Information Network Analysis and Applications. Data Analytics, Springer 2017, ISBN 978-3-319-56211-7, pp. 1-227 - [j18]Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Recommendation in heterogeneous information network via dual similarity regularization. Int. J. Data Sci. Anal. 3(1): 35-48 (2017) - [j17]Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu:
Meta-path-based link prediction in schema-rich heterogeneous information network. Int. J. Data Sci. Anal. 3(4): 285-296 (2017) - [j16]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) - [j15]Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu:
A Survey of Heterogeneous Information Network Analysis. IEEE Trans. Knowl. Data Eng. 29(1): 17-37 (2017) - [j14]Chuan Shi, Yichao Tang, Alireza Khaligh:
A Single-Phase Integrated Onboard Battery Charger Using Propulsion System for Plug-in Electric Vehicles. IEEE Trans. Veh. Technol. 66(12): 10899-10910 (2017) - [c50]Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Zixing Cai:
A decomposition based multiobjective evolutionary algorithm with semi-supervised classification. CEC 2017: 797-804 - [c49]Jing Zheng, Fuzhen Zhuang, Chuan Shi:
Local Ensemble across Multiple Sources for Collaborative Filtering. CIKM 2017: 2431-2434 - [c48]Haibo Chen, Jianfei Zhao, Xiaoji Chen, Ding Xiao, Chuan Shi:
Visual analysis of large heterogeneous network through interactive centrality based sampling. ICNSC 2017: 378-383 - [c47]Binbin Hu, Chuan Shi, Jian Liu:
Playlist Recommendation Based on Reinforcement Learning. IFIP TC12 ICIS 2017: 172-182 - [c46]Yang Zhang, Chuan Shi, Huanyao Dai:
Design of an Image-Jamming Signal Detection System. ISCID (1) 2017: 197-200 - [c45]Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu:
Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD (2) 2017: 131-143 - [c44]Longfei Shi, Bin Wu, Jing Zheng, Chuan Shi, Mengxin Li:
DSBPR: Dual Similarity Bayesian Personalized Ranking. PAKDD (1) 2017: 266-277 - [c43]Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu:
Entity Set Expansion with Meta Path in Knowledge Graph. PAKDD (1) 2017: 317-329 - [c42]Menghao Zhang, Binbin Hu, Chuan Shi, Bai Wang:
Local Low-Rank Matrix Approximation with Preference Selection of Anchor Points. WWW (Companion Volume) 2017: 1395-1403 - [i6]Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu:
Heterogeneous Information Network Embedding for Recommendation. CoRR abs/1711.10730 (2017) - 2016
- [j13]Chuan Shi, Stanley B. Gershwin:
Part sojourn time distribution in a two-machine line. Eur. J. Oper. Res. 248(1): 146-158 (2016) - [j12]Chuan Shi, Yitong Li, Philip S. Yu, Bin Wu:
Constrained-meta-path-based ranking in heterogeneous information network. Knowl. Inf. Syst. 49(2): 719-747 (2016) - [j11]Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu:
Integrating heterogeneous information via flexible regularization framework for recommendation. Knowl. Inf. Syst. 49(3): 835-859 (2016) - [c41]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo:
Expenditure aware rating prediction for recommendation. BigData 2016: 1018-1025 - [c40]Qiaolian Liu, Jianfei Zhao, Naiwang Guo, Ding Xiao, Chuan Shi:
High-Dimensional Data Visualization Based on User Knowledge. DMBD 2016: 321-329 - [c39]Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu:
Link Prediction in Schema-Rich Heterogeneous Information Network. PAKDD (1) 2016: 449-460 - [c38]Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Dual Similarity Regularization for Recommendation. PAKDD (2) 2016: 542-554 - [c37]Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu:
Aspect Mining with Rating Bias. ECML/PKDD (2) 2016: 458-474 - [c36]Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang:
RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network. RecSys 2016: 401-402 - [i5]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu:
Expenditure Aware Rating Prediction for Recommendation. CoRR abs/1610.05464 (2016) - 2015
- [c35]Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu:
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM 2015: 453-462 - [c34]Xiaoming Li, Bin Wu, Qian Guo, Xuelin Zeng, Chuan Shi:
Dynamic Community Detection Algorithm Based on Incremental Identification. ICDM Workshops 2015: 900-907 - [i4]Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu:
Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation. CoRR abs/1511.03759 (2015) - [i3]Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu:
A Survey of Heterogeneous Information Network Analysis. CoRR abs/1511.04854 (2015) - 2014
- [j10]Chuan Shi, Stanley B. Gershwin:
Improvement of the evaluation of closed-loop production systems with unreliable machines and finite buffers. Comput. Ind. Eng. 75: 239-256 (2014) - [j9]Chuan Shi, Philip S. Yu, Zhenyu Yan, Yue Huang, Bai Wang:
Comparison and Selection of objective Functions in multiobjective Community Detection. Comput. Intell. 30(3): 562-582 (2014) - [j8]Chuan Shi, Xiangnan Kong, Di Fu, Philip S. Yu, Bin Wu:
Multi-Label Classification Based on Multi-Objective Optimization. ACM Trans. Intell. Syst. Technol. 5(2): 35:1-35:22 (2014) - [j7]Chuan Shi, Xiangnan Kong, Yue Huang, Philip S. Yu, Bin Wu:
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 26(10): 2479-2492 (2014) - [c33]Xiaofeng Meng, Chuan Shi, Yitong Li, Lei Zhang, Bin Wu:
Relevance Measure in Large-Scale Heterogeneous Networks. APWeb 2014: 636-643 - [c32]Chuanyang Li, Xiuqin Lin, Bin Wu, Chuan Shi:
Location inference using microblog text and friendships. ASONAM 2014: 778-784 - [c31]Huidong Zhao, Bin Wu, Haoyu Wang, Chuan Shi:
Sentiment analysis based on transfer learning for Chinese ancient literature. BESC 2014: 68-74 - [c30]