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ORCIDJiawei Zhang 0001
Person information
- affiliation: University of California, Davis, Department of Computer Science, IFM Lab, CA, USA
- affiliation (former): Florida State University, Department of Computer Science, Tallahassee, FL, USA
- affiliation (former, PhD 2017): University of Illinois at Chicago, USA
Other persons with the same name
- Jiawei Zhang (aka: Jia-Wei Zhang, Jia Wei Zhang) — disambiguation page
- Jiawei Zhang 0002
![[0000-0002-2292-4592]](https://dblp.uni-trier.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 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)
- Jiawei Zhang 0008 — East China Jiaotong University, China
- Jia-Wei Zhang 0009 (aka: Jiawei Zhang 0009) — Guangxi University, School of Business Administration, Nanning, China
- Jia-Wei Zhang 0010 (aka: Jiawei Zhang 0010) — Northeast Forestry University, Electromechanical Engineering Academy, Harbin, China
- Jiawei Zhang 0011 — Xidian University, School of Cyber Engineering, Xi'an, China
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2020 – today
- 2024
[j21]Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. 15(4): 1397-1413 (2024)- [j20]Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang:
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(1): 973-984 (2024) - [i72]Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR abs/2401.01243 (2024) - [i71]Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Feng Zhao, Yulin Kang:
Prompt Learning on Temporal Interaction Graphs. CoRR abs/2402.06326 (2024) - 2023
- [j19]Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu:
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics. Knowl. Inf. Syst. 65(11): 4687-4712 (2023) - [j18]Yongheng Wang, Weidi Zhang, Hoyin Yip, Chuyuan Qu, Hongru Hu, Xiaotie Chen, Teresa Lee, Xi Yang, Bingjun Yang, Priyadarsini Kumar, Su Yeon Lee, Javier J. Casimiro, Jiawei Zhang, Aijun Wang, Kit S. Lam:
SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator. Patterns 4(2): 100686 (2023) - [j17]Zhongbao Zhang, Fuxin Ren, Jiawei Zhang, Sen Su, Yang Yan, Qian Wei, Li Sun, Guozhen Zhu, Congying Guo:
When Behavior Analysis Meets Social Network Alignment. IEEE Trans. Knowl. Data Eng. 35(7): 7590-7607 (2023) - [c98]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion. ACL (Findings) 2023: 13089-13100 - [c97]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
Dual Intents Graph Modeling for User-centric Group Discovery. CIKM 2023: 2716-2725 - [c96]Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang:
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CIKM 2023: 3216-3225 - [c95]Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang:
Generative Graph Augmentation for Minority Class in Fraud Detection. CIKM 2023: 4200-4204 - [c94]Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu:
Location-Adaptive Generative Graph Augmentation for Fraud Detection. CogMI 2023: 24-30 - [c93]Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang:
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. DASFAA (4) 2023: 250-265 - [c92]Lin Meng, Yuxiang Ren, Jiawei Zhang:
Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. DASFAA (4) 2023: 397-414 - [c91]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
Extractive Summarization via ChatGPT for Faithful Summary Generation. EMNLP (Findings) 2023: 3270-3278 - [c90]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR 2023: 2037-2041 - [c89]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW 2023: 240-250 - [i70]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) - [i69]Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang:
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System. CoRR abs/2303.14524 (2023) - [i68]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR abs/2304.03344 (2023) - [i67]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
Extractive Summarization via ChatGPT for Faithful Summary Generation. CoRR abs/2304.04193 (2023) - [i66]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion. CoRR abs/2305.01735 (2023) - [i65]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
Dual Intents Graph Modeling for User-centric Group Discovery. CoRR abs/2308.05013 (2023) - [i64]Xi Chen, Yongxiang Liao, Yun Xiong, Yao Zhang, Siwei Zhang, Jiawei Zhang, Yiheng Sun:
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding. CoRR abs/2308.14129 (2023) - [i63]Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang:
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CoRR abs/2309.02012 (2023) - 2022
- [j16]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) - [j15]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) - [j14]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs. Knowl. Inf. Syst. 64(1): 235-260 (2022) - [c88]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 - [c87]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu:
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. BIBM 2022: 1574-1579 - [c86]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
HEGEL: Hypergraph Transformer for Long Document Summarization. EMNLP 2022: 10167-10176 - [c85]Lin Meng, Haoran Yang, Jiawei Zhang:
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles. IJCNN 2022: 1-8 - [c84]Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Deoscillated Adaptive Graph Collaborative Filtering. TAG-ML 2022: 248-257 - [i62]Jiawei Zhang:
Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning. CoRR abs/2206.13465 (2022) - [i61]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) - [i60]Haopeng Zhang, Xiao Liu, Jiawei Zhang:
HEGEL: Hypergraph Transformer for Long Document Summarization. CoRR abs/2210.04126 (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) - [c83]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 - [c82]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang:
Radiology Report Generation for Rare Diseases via Few-shot Transformer. BIBM 2021: 1347-1352 - [c81]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM 2021: 433-442 - [c80]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding Based Graph Neural Network for Graph Classification. DASFAA (1) 2021: 123-140 - [c79]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 - [c78]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 - [c77]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. IJCNN 2021: 1-8 - [c76]Yuxiang Ren, Jiawei Zhang:
Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. IJCNN 2021: 1-8 - [c75]Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045 - [c74]Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang:
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD 2021: 4157-4158 - [c73]Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu:
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. WSDM 2021: 788-796 - [i59]Yuxiang Ren, Jiyang Bai, Jiawei Zhang:
Label Contrastive Coding based Graph Neural Network for Graph Classification. CoRR abs/2101.05486 (2021) - [i58]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) - [i57]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) - [i56]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR abs/2108.06625 (2021) - [i55]Yuxiang Ren, Jiawei Zhang:
Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. CoRR abs/2111.03262 (2021) - [i54]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) - [i53]He Huang, Wei Tang, Jiawei Zhang, Philip S. Yu:
Translational Concept Embedding for Generalized Compositional Zero-shot Learning. CoRR abs/2112.10871 (2021) - [i52]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) - [c72]Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang:
Learning Signed Network Embedding via Graph Attention. AAAI 2020: 4772-4779 - [c71]Jiyang Bai, Yuxiang Ren, Jiawei Zhang:
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. ASONAM 2020: 37-41 - [c70]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu:
Few-shot Radiology Report Generation for Rare Diseases. BIBM 2020: 601-608 - [c69]Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu:
CommDGI: Community Detection Oriented Deep Graph Infomax. CIKM 2020: 1843-1852 - [c68]Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu:
Low-shot Learning in Natural Language Processing. CogMI 2020: 185-189 - [c67]Lin Meng, Ning Yan, Masood S. Mortazavi, Jiawei Zhang:
Discovering Localized Information for Heterogeneous Graph Node Representation Learning. CIC 2020: 88-96 - [c66]Haopeng Zhang, Jiawei Zhang:
Text Graph Transformer for Document Classification. EMNLP (1) 2020: 8322-8327 - [c65]Yuxiang Ren, Lin Meng, Jiawei Zhang:
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. HT 2020: 261-270 - [c64]Jiawei Zhang, Bowen Dong, Philip S. Yu:
FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network. ICDE 2020: 1826-1829 - [c63]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. ICDM 2020: 222-231 - [c62]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM 2020: 452-461 - [c61]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 - [c60]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 - [c59]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [i51]Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun:
Graph-Bert: Only Attention is Needed for Learning Graph Representations. CoRR abs/2001.05140 (2020) - [i50]Jiawei Zhang:
Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification. CoRR abs/2001.07922 (2020) - [i49]Jiawei Zhang:
Segmented Graph-Bert for Graph Instance Modeling. CoRR abs/2002.03283 (2020) - [i48]Jiawei Zhang:
Graph Neural Distance Metric Learning with Graph-Bert. CoRR abs/2002.03427 (2020) - [i47]Yuxiang Ren, Jiawei Zhang:
HGAT: Hierarchical Graph Attention Network for Fake News Detection. CoRR abs/2002.04397 (2020) - [i46]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) - [i45]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) - [i44]Jiawei Zhang:
G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning. CoRR abs/2006.06183 (2020) - [i43]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. CoRR abs/2009.10273 (2020) - [i42]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) - [c58]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 - [c57]Lin Meng, Jiyang Bai, Jiawei Zhang:
LATTE: Application Oriented Social Network Embedding. IEEE BigData 2019: 1169-1174 - [c56]Jiawei Zhang, Bowen Dong, Philip S. Yu:
Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks. IEEE BigData 2019: 1259-1266 - [c55]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CIKM 2019: 419-428 - [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 - [i41]Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang:
Meta Diagram based Active Social Networks Alignment. CoRR abs/1902.04220 (2019) - [i40]Jiawei Zhang:
Gradient Descent based Optimization Algorithms for Deep Learning Models Training. CoRR abs/1903.03614 (2019) - [i39]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) - [i38]Lin Meng, Jiawei Zhang:
IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification. CoRR abs/1907.09495 (2019) - [i37]Yixin Chen, Lin Meng, Jiawei Zhang:
Graph Neural Lasso for Dynamic Network Regression. CoRR abs/1907.11114 (2019) - [i36]Jiyang Bai, Jiawei Zhang:
DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization. CoRR abs/1907.11307 (2019) - [i35]Jiyang Bai, Jiawei Zhang:
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization. CoRR abs/1908.08015 (2019) - [i34]Jiawei Zhang, Lin Meng:
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation. CoRR abs/1909.05729 (2019) - [i33]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CoRR abs/1910.05736 (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 - [c23]Jiawei Zhang, Philip S. Yu:
Trip Route Planning for Bicycle-Sharing Systems. CIC 2016: 381-390 - [c22]Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu:
Bicycle-sharing systems expansion: station re-deployment through crowd planning. SIGSPATIAL/GIS 2016: 2:1-2:10 - [c21]Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu:
Multi-source Multi-view Clustering via discrepancy penalty. IJCNN 2016: 2714-2721 - [c20]Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie:
Discover Tipping Users for Cross Network Influencing (Invited Paper). IRI 2016: 67-76 - [c19]Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu:
Bicycle-Sharing System Analysis and Trip Prediction. MDM 2016: 174-179 - [c18]Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin:
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) 2016: 476-492 - [c17]Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu:
Trust Hole Identification in Signed Networks. ECML/PKDD (1) 2016: 697-713 - [c16]Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu:
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. WWW 2016: 41-50 - [c15]Jiawei Zhang, Philip S. Yu:
PCT: Partial Co-Alignment of Social Networks. WWW 2016: 749-759 - [p1]Jiawei Zhang, Qianyi Zhan, Philip S. Yu:
Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching. Theoretical Information Reuse and Integration 2016: 173-196 - [i9]Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu:
Bicycle-Sharing System Analysis and Trip Prediction. CoRR abs/1604.00664 (2016) - [i8]Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu:
Multi-Source Multi-View Clustering via Discrepancy Penalty. CoRR abs/1604.04029 (2016) - [i7]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Badge System Analysis and Design. CoRR abs/1607.00537 (2016) - [i6]Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu:
Intertwined Viral Marketing through Online Social Networks. CoRR abs/1607.00542 (2016) - 2015
- [c14]Philip S. Yu, Jiawei Zhang:
MCD: Mutual Clustering across Multiple Social Networks. BigData Congress 2015: 762-771 - [c13]Jiawei Zhang, Yuanhua Lv, Philip S. Yu:
Enterprise Social Link Recommendation. CIKM 2015: 841-850 - [c12]Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li:
Inferring Diffusion Networks with Sparse Cascades by Structure Transfer. DASFAA (1) 2015: 405-421 - [c11]Jiawei Zhang, Philip S. Yu:
Multiple Anonymized Social Networks Alignment. ICDM 2015: 599-608 - [c10]Jiawei Zhang, Philip S. Yu:
Integrated Anchor and Social Link Predictions across Social Networks. IJCAI 2015: 2125-2132 - [c9]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
PNA: Partial Network Alignment with Generic Stable Matching. IRI 2015: 166-173 - [c8]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Organizational Chart Inference. KDD 2015: 1435-1444 - [c7]Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie:
Influence Maximization Across Partially Aligned Heterogenous Social Networks. PAKDD (1) 2015: 58-69 - [c6]Jiawei Zhang, Philip S. Yu:
Community Detection for Emerging Networks. SDM 2015: 127-135 - [i5]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching. CoRR abs/1506.05164 (2015) - [i4]Jiawei Zhang, Philip S. Yu:
Mutual Community Detection across Multiple Partially Aligned Social Networks. CoRR abs/1506.05529 (2015) - [i3]Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Organizational Chart Inference. CoRR abs/1507.06841 (2015) - [i2]Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu:
A Survey of Heterogeneous Information Network Analysis. CoRR abs/1511.04854 (2015) - 2014
- [c5]Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang, Aiping Li:
Synergistic partitioning in multiple large scale social networks. IEEE BigData 2014: 281-290 - [c4]Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou:
Meta-path based multi-network collective link prediction. KDD 2014: 1286-1295 - [c3]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Transferring heterogeneous links across location-based social networks. WSDM 2014: 303-312 - 2013
- [c2]Xiangnan Kong, Jiawei Zhang, Philip S. Yu:
Inferring anchor links across multiple heterogeneous social networks. CIKM 2013: 179-188 - [c1]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. ICDM 2013: 1289-1294 - [i1]Jiawei Zhang, Xiangnan Kong, Philip S. Yu:
Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. CoRR abs/1310.3492 (2013)
Coauthor Index
[j21] [i72] [c94] [c90] [c89] [i70] [i68] [c88] [c87] [c84] [i61] [c83] [c81] [c75] [i57] [i56] [i54] [i53] [j12] [c68] [c64] [c61] [i45] [i42] [b1] [j10] [j9] [c58] [c56] [c53] [c50] [c49] [c48] [i39] [i32] [j8] [j7] [j6] [c47] [c46] [c45] [c43] [c42] [r1] [i19] [i18] [i17] [i16] [i15] [i14] [j4] [j3] [j2] [j1] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i13] [i12] [i11] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [p1] [i9] [i8] [i7] [i6] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i5] [i4] [i3] [i2] [c5] [c4] [c3] [c2] [c1] [i1]
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