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ORCIDJiawei Zhang 0001
Person information
- affiliation: Florida State University, Department of Computer Science, FL, USA
- affiliation (former): University of Illinois at Chicago, USA
Other persons with the same name
- Jiawei Zhang — disambiguation page
- Jiawei Zhang 0002
![[0000-0002-2292-4592]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2292-4592")
— SenseTime Research, Shenzhen, China (and 1 more) - Jiawei Zhang 0003 — Purdue University, West Lafayette, IN, USA
- Jiawei Zhang 0004 — Beijing University of Posts and Telecommunication, State Key Laboratory of Information Photonics and Optical Communications, China
- Jiawei Zhang 0005 — University of California, Davis, IFM Lab, Department of Computer Science, CA, USA
- Jiawei Zhang 0006 — New York University, Department of Information, Operations and Management Sciences, Stern School of Business, NY, USA (and 1 more)
- Jiawei Zhang 0007 — Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China (and 1 more)
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2020 – today
- 2023
[i58]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR abs/2302.03555 (2023)- 2022
- [j15]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Adaptive momentum with discriminative weight for neural network stochastic optimization. Int. J. Intell. Syst. 37(9): 6531-6554 (2022) - [j14]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Measuring and sampling: A metric-guided subgraph learning framework for graph neural network. Int. J. Intell. Syst. 37(10): 7502-7525 (2022) - [c77]Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-Supervised Mixed-Curvature Graph Neural Network. AAAI 2022: 4146-4155 - [c76]Lin Meng, Haoran Yang, Jiawei Zhang:
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles. IJCNN 2022: 1-8 - [i57]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu:
PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment. CoRR abs/2209.02908 (2022) - 2021
- [j13]Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. IEEE Trans. Knowl. Data Eng. 33(5): 1848-1860 (2021) - [c75]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu:
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. AAAI 2021: 4375-4383 - [c74]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding Based Graph Neural Network for Graph Classification. DASFAA (1) 2021: 123-140 - [c73]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE 2021: 2039-2044 - [c72]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. IJCNN 2021: 1-8 - [c71]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. IJCNN 2021: 1-8 - [c70]Yuxiang Ren, Jiawei Zhang:
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. IJCNN 2021: 1-8 - [c69]Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang:
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD 2021: 4157-4158 - [i56]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding based Graph Neural Network for Graph Classification. CoRR abs/2101.05486 (2021) - [i55]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR abs/2101.11206 (2021) - [i54]Haopeng Zhang, Jiawei Zhang:
Centrality Meets Centroid: A Graph-based Approach for Unsupervised Document Summarization. CoRR abs/2103.15327 (2021) - [i53]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu:
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. CoRR abs/2104.02228 (2021) - [i52]Yuxiang Ren, Jiawei Zhang:
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. CoRR abs/2111.03262 (2021) - [i51]Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-supervised Mixed-curvature Graph Neural Network. CoRR abs/2112.05393 (2021) - [i50]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network. CoRR abs/2112.15015 (2021) - 2020
- [j12]Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu:
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems. IEEE Trans. Knowl. Data Eng. 32(12): 2374-2388 (2020) - [c68]Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang:
Learning Signed Network Embedding via Graph Attention. AAAI 2020: 4772-4779 - [c67]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. ASONAM 2020: 37-41 - [c66]Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu:
Low-shot Learning in Natural Language Processing. CogMI 2020: 185-189 - [c65]Lin Meng, Ning Yan, Masood S. Mortazavi, Jiawei Zhang:
Discovering Localized Information for Heterogeneous Graph Node Representation Learning. CIC 2020: 88-96 - [c64]Haopeng Zhang, Jiawei Zhang:
Text Graph Transformer for Document Classification. EMNLP (1) 2020: 8322-8327 - [c63]Yuxiang Ren, Lin Meng, Jiawei Zhang:
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. HT 2020: 261-270 - [c62]Jiawei Zhang, Bowen Dong, Philip S. Yu:
FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network. ICDE 2020: 1826-1829 - [c61]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM 2020: 452-461 - [c60]Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu:
Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. ICDM 2020: 501-510 - [c59]Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo:
BANANA: when Behavior ANAlysis meets social Network Alignment. IJCAI 2020: 1438-1444 - [c58]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [i49]Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun:
Graph-Bert: Only Attention is Needed for Learning Graph Representations. CoRR abs/2001.05140 (2020) - [i48]Jiawei Zhang:
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification. CoRR abs/2001.07922 (2020) - [i47]Jiawei Zhang:
Segmented Graph-Bert for Graph Instance Modeling. CoRR abs/2002.03283 (2020) - [i46]Jiawei Zhang:
Graph Neural Distance Metric Learning with Graph-Bert. CoRR abs/2002.03427 (2020) - [i45]Yuxiang Ren, Jiawei Zhang:
HGAT: Hierarchical Graph Attention Network for Fake News Detection. CoRR abs/2002.04397 (2020) - [i44]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. CoRR abs/2002.07206 (2020) - [i43]Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu:
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. CoRR abs/2004.01881 (2020) - [i42]Jiawei Zhang:
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning. CoRR abs/2006.06183 (2020) - [i41]Zhiwei Liu, Lin Meng, Jiawei Zhang, Philip S. Yu:
Deoscillated Graph Collaborative Filtering. CoRR abs/2011.02100 (2020)
2010 – 2019
- 2019
- [b1]Jiawei Zhang, Philip S. Yu:
Broad Learning Through Fusions - An Application on Social Networks. Springer 2019, ISBN 978-3-030-12527-1, pp. 1-419 - [j11]Xiao Pan, Ma Ang, Jiawei Zhang, Lei Wu:
Approximate Similarity Measurements on Multi-Attributes Trajectories Data. IEEE Access 7: 10905-10915 (2019) - [j10]Limeng Cui, Jiawei Zhang, Lifang He, Philip S. Yu:
Multi-view collective tensor decomposition for cross-modal hashing. Int. J. Multim. Inf. Retr. 8(1): 47-59 (2019) - [j9]Qianyi Zhan, Jiawei Zhang, Philip S. Yu:
Integrated anchor and social link predictions across multiple social networks. Knowl. Inf. Syst. 60(1): 303-326 (2019) - [c57]Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData 2019: 850-859 - [c56]Lin Meng, Jiyang Bai, Jiawei Zhang:
LATTE: Application Oriented Social Network Embedding. IEEE BigData 2019: 1169-1174 - [c55]Jiawei Zhang, Bowen Dong, Philip S. Yu:
Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks. IEEE BigData 2019: 1259-1266 - [c54]Chuan Shi, Yanfang Ye, Jiawei Zhang:
HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM 2019: 2991-2992 - [c53]Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu:
Deep Heterogeneous Social Network Alignment. CogMI 2019: 43-52 - [c52]Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
Meta Diagram Based Active Social Networks Alignment. ICDE 2019: 1690-1693 - [c51]Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang:
Learning Network Embedding with Community Structural Information. IJCAI 2019: 2937-2943 - [c50]Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang, Philip S. Yu:
Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries. IJCNN 2019: 1-8 - [c49]Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR 2019: 1077-1080 - [c48]Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR 2019: 1081-1084 - [i40]Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
Meta Diagram based Active Social Networks Alignment. CoRR abs/1902.04220 (2019) - [i39]Jiawei Zhang:
Gradient Descent based Optimization Algorithms for Deep Learning Models Training. CoRR abs/1903.03614 (2019) - [i38]Jiawei Zhang, Chenwei Zhang, Bowen Dong, Yang Yang, Philip S. Yu:
Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries. CoRR abs/1905.06365 (2019) - [i37]Lin Meng, Jiawei Zhang:
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification. CoRR abs/1907.09495 (2019) - [i36]Yixin Chen, Lin Meng, Jiawei Zhang:
Graph Neural Lasso for Dynamic Network Regression. CoRR abs/1907.11114 (2019) - [i35]Jiyang Bai, Jiawei Zhang:
DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization. CoRR abs/1907.11307 (2019) - [i34]Jiyang Bai, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization. CoRR abs/1908.08015 (2019) - [i33]Jiawei Zhang, Lin Meng:
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation. CoRR abs/1909.05729 (2019) - [i32]Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu:
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR abs/1910.08219 (2019) - [i31]Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang:
Heterogeneous Deep Graph Infomax. CoRR abs/1911.08538 (2019) - [i30]Yuxiang Ren, Lin Meng, Jiawei Zhang:
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. CoRR abs/1912.08372 (2019) - [i29]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR abs/1912.11113 (2019) - 2018
- [j8]Taisong Li, Jiawei Zhang, Philip S. Yu, Yan Zhang, Yonghong Yan:
Deep Dynamic Network Embedding for Link Prediction. IEEE Access 6: 29219-29230 (2018) - [j7]Jiawei Zhang, Philip S. Yu:
Broad Learning: : An Emerging Area in Social Network Analysis. SIGKDD Explor. 20(1): 24-50 (2018) - [j6]Weiwei Shi, Yongxin Zhu, Philip S. Yu, Jiawei Zhang, Tian Huang, Chang Wang, Yufeng Chen:
Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series. IEEE Trans. Big Data 4(4): 473-486 (2018) - [j5]Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin:
Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Trans. Intell. Syst. Technol. 9(6): 63:1-63:28 (2018) - [c47]Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu:
Data-driven Blockbuster Planning on Online Movie Knowledge Library. IEEE BigData 2018: 1612-1617 - [c46]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM 2018: 1007-1012 - [c45]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-View Fusion Through Cross-Modal Retrieval. ICIP 2018: 1977-1981 - [c44]Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal:
You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD 2018: 2457-2466 - [c43]Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu:
Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR 2018: 73-81 - [c42]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral collaborative filtering. RecSys 2018: 311-319 - [c41]Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das:
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. SDM 2018: 171-179 - [c40]Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal:
Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. SDM 2018: 351-359 - [r1]Jiawei Zhang, Philip S. Yu:
Cross-Platform Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i28]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
SEGEN: Sample-Ensemble Genetic Evolutional Network Model. CoRR abs/1803.08631 (2018) - [i27]Jiawei Zhang:
Social Network Fusion and Mining: A Survey. CoRR abs/1804.09874 (2018) - [i26]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization. CoRR abs/1805.07500 (2018) - [i25]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
On Deep Ensemble Learning from a Function Approximation Perspective. CoRR abs/1805.07502 (2018) - [i24]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning. CoRR abs/1805.07504 (2018) - [i23]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models. CoRR abs/1805.07507 (2018) - [i22]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
GEN Model: An Alternative Approach to Deep Neural Network Models. CoRR abs/1805.07508 (2018) - [i21]Jiawei Zhang, Limeng Cui, Fisher B. Gouza:
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model. CoRR abs/1805.08747 (2018) - [i20]Jiawei Zhang, Limeng Cui, Yanjie Fu, Fisher B. Gouza:
Fake News Detection with Deep Diffusive Network Model. CoRR abs/1805.08751 (2018) - [i19]Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu:
Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach. CoRR abs/1805.10617 (2018) - [i18]Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu:
r-instance Learning for Missing People Tweets Identification. CoRR abs/1805.10856 (2018) - [i17]Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu:
TI-CNN: Convolutional Neural Networks for Fake News Detection. CoRR abs/1806.00749 (2018) - [i16]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral Collaborative Filtering. CoRR abs/1808.10523 (2018) - [i15]Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR abs/1810.07874 (2018) - [i14]Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu:
Data-driven Blockbuster Planning on Online Movie Knowledge Library. CoRR abs/1810.10175 (2018) - 2017
- [j4]Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu:
CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access 5: 15283-15299 (2017) - [j3]Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu:
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors 17(8): 1786 (2017) - [j2]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) - [j1]Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Junyuan Xie:
Community detection for emerging social networks. World Wide Web 20(6): 1409-1441 (2017) - [c39]Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui:
Real Time Social Attitude Expression Prediction. BigData Congress 2017: 472-479 - [c38]Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu:
Inverse extreme learning machine for learning with label proportions. IEEE BigData 2017: 576-585 - [c37]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant removal for Android malware detection systems. IEEE BigData 2017: 1053-1062 - [c36]Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv:
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CIKM 2017: 859-868 - [c35]Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu:
Broad Learning based Multi-Source Collaborative Recommendation. CIKM 2017: 1409-1418 - [c34]Jiawei Zhang, Charu C. Aggarwal, Philip S. Yu:
Rumor Initiator Detection in Infected Signed Networks. ICDCS 2017: 1900-1909 - [c33]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Enterprise Community Detection. ICDE 2017: 219-222 - [c32]Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han:
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982 - [c31]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. ICDM 2017: 605-614 - [c30]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Enterprise Employee Training via Project Team Formation. WSDM 2017: 3-12 - [c29]Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu:
Link Prediction with Cardinality Constraint. WSDM 2017: 121-130 - [i13]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant Removal for Android Malware Detection Systems. CoRR abs/1711.02715 (2017) - [i12]Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu:
BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. CoRR abs/1711.09409 (2017) - [i11]Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv:
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CoRR abs/1711.09411 (2017) - [i10]Jiawei Zhang, Limeng Cui, Yanjie Fu:
LATTE: Application Oriented Network Embedding. CoRR abs/1711.11466 (2017) - 2016
- [c28]Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu:
Intertwined viral marketing in social networks. ASONAM 2016: 239-246 - [c27]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Social badge system analysis. ASONAM 2016: 453-460 - [c26]Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie:
Inferring Social Influence of anti-Tobacco mass media campaigns. BIBM 2016: 805-812 - [c25]Xiao Pan, Jiawei Zhang, Fengjiao Wang, Philip S. Yu:
DistSD: Distance-based social discovery with personalized posterior screening. IEEE BigData 2016: 1110-1119 - [c24]Jiawei Zhang, Philip S. Yu, Yuanhua Lv, Qianyi Zhan:
Information Diffusion at Workplace. CIKM 2016: 1673-1682