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ORCIDJie Cao 0001
曹杰
Person information
- unicode name: 曹杰
- affiliation: Hefei University of Technology, School of Management, China
- affiliation: Nanjing University of Finance and Economics, College of Information Engineering, Jiangsu Provincial Key Laboratory of E-Business, China
- affiliation (PhD 2002): Southeast University, Nanjing, China
Other persons with the same name
- Jie Cao — disambiguation page
- Jie Cao 0002
![[0000-0001-6368-4495]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6368-4495")
— Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Center for Excellence in Brain Science and Intelligence Technology, Beijing, China (and 1 more) - Jie Cao 0003 — Eastern Michigan University, School of Information Security and Applied Computing, Ypsilanti, MI, USA (and 1 more)
- Jie Cao 0004 — Beijing Institute of Technology, School of Optics and Photonics, MOE Key Laboratory of Biomimetic Robots and Systems, China
- Jie Cao 0005 — Northeast Electric Power University, School of Computer Science, Jilin, China (and 1 more)
- Jie Cao 0006 — Harbin Institute of Technology at Shenzhen, School of Electronics and Information Engineering, China
- Jie Cao 0007 — Chinese University of Hong Kong, Business School, Hong Kong (and 1 more)
- Jie Cao 0009 — Xi'an University of Posts and Telecommunications, School of Cyberspace Security, China
- Jie Cao 0010 — University of Colorado Boulder, CO, USA (and 2 more)
- Jie Cao 0011 — Xuzhou University of Technology, School of Management Engineering, Xuzhou, China (and 6 more)
- Jie Cao 0012 — Southwest University of Science and Technology, School of Information Engineering, Mianyang, China
- Jie Cao 0013 — Anhui University, School of Computer Science and Technology, Hefei, China
- Jie Cao 0014 — Lanzhou University of Technology, School of Computer and Communication, Gansu, China
- Jie Cao 0015 — University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
- Jie Cao 0016 — Zhengzhou University of Light Industry, Software Engineering College, Zhengzhou, China (and 1 more)
- Jie Cao 0017 — Nanjing University of Information Science & Technology, Nanjing, China (and 2 more)
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Books and Theses
- 2017
[b1]Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne:
Fraud Prevention in Online Digital Advertising. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-56792-1, pp. 1-51
Journal Articles
- 2024
- [j128]Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, Weiping Qin, Youquan Wang, Zhendong Wang:
Neural attentive influence maximization model in social networks via reverse influence sampling on historical behavior sequences. Expert Syst. Appl. 249: 123491 (2024) - [j127]Jiawei Miao, Haicheng Tao, Haoran Xie, Jianshan Sun, Jie Cao:
Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks. Inf. Process. Manag. 61(1): 103569 (2024) - [j126]Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, Lei Chen, Weiping Qin, Youquan Wang:
Balanced influence maximization in social networks based on deep reinforcement learning. Neural Networks 169: 334-351 (2024) - [j125]Haicheng Tao, Jie Cao, Lei Chen, Hong-Liang Sun, Yong Shi, Xingquan Zhu:
Black-box attacks on dynamic graphs via adversarial topology perturbations. Neural Networks 171: 308-319 (2024) - [j124]Yuyao Wang, Jie Cao, Zhan Bu, Mingming Leng:
Temporal Dual-Attributed Network Generation Oriented Community Detection Model. IEEE Trans. Emerg. Top. Comput. 12(2): 403-418 (2024) - [j123]Hui-Jia Li, Yuhao Feng, Chengyi Xia, Jie Cao:
Overlapping Graph Clustering in Attributed Networks via Generalized Cluster Potential Game. ACM Trans. Knowl. Discov. Data 18(1): 27:1-27:26 (2024) - [j122]Jianshan Sun, Suyuan Mei, Kun Yuan, Yuanchun Jiang, Jie Cao:
Prerequisite-Enhanced Category-Aware Graph Neural Networks for Course Recommendation. ACM Trans. Knowl. Discov. Data 18(5): 112:1-112:21 (2024) - [j121]Yuyao Wang, Jie Cao, Youquan Wang, Jia Wu, Yangyang Liu:
Position Matters: Play a Sequential Game to Detect Significant Communities. IEEE Trans. Knowl. Data Eng. 36(7): 3402-3416 (2024) - [j120]Guangliang Gao, Weichao Liang, Ming Yuan, Hanwei Qian, Qun Wang, Jie Cao:
Triangle-oriented Community Detection Considering Node Features and Network Topology. ACM Trans. Web 18(1): 11:1-11:21 (2024) - 2023
- [j119]Fan Yang, Qiao-Xi Zhang, Xiaojian Ding, Fumin Ma, Jie Cao, Deyu Tong:
Semantic preserving asymmetric discrete hashing for cross-modal retrieval. Appl. Intell. 53(12): 15352-15371 (2023) - [j118]Zhiwang Zhang, Hongliang Sun, Shuqing Li, Jing He, Jie Cao, Guanghai Cui, Gang Wang:
Two-stage sparse multi-kernel optimization classifier method for more accurate and explainable prediction. Expert Syst. Appl. 231: 120635 (2023) - [j117]Zhiwang Zhang, Jing He, Hui Zheng, Jie Cao, Gang Wang, Yong Shi:
Alternating Minimization-Based Sparse Least-Squares Classifier for Accuracy and Interpretability Improvement of Credit Risk Assessment. Int. J. Inf. Technol. Decis. Mak. 22(1): 537-567 (2023) - [j116]Shuxin Yang, Xiaoyang Chang, Guixiang Zhu, Jie Cao, Weiping Qin, Youquan Wang, Zhendong Wang:
GAA-PPO: A novel graph adversarial attack method by incorporating proximal policy optimization. Neurocomputing 557: 126707 (2023) - [j115]Fan Yang, Xiaojian Ding, Fumin Ma, Deyu Tong, Jie Cao:
EDMH: Efficient discrete matrix factorization hashing for multi-modal similarity retrieval. Inf. Process. Manag. 60(3): 103301 (2023) - [j114]Youquan Wang, Jie Cao, Haicheng Tao:
Graph convolutional network with multi-similarity attribute matrices fusion for node classification. Neural Comput. Appl. 35(18): 13135-13145 (2023) - [j113]Zhiwang Zhang, Jing He, Jie Cao, Shuqing Li:
Maximum Decentral Projection Margin Classifier for High Dimension and Low Sample Size problems. Neural Networks 157: 147-159 (2023) - [j112]Weichao Liang, Jie Cao, Lei Chen, Youquan Wang, Jia Wu, Amin Beheshti, Jiangnan Tang:
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition. IEEE Trans. Big Data 9(5): 1392-1407 (2023) - [j111]Lei Chen, Jie Cao, Haicheng Tao, Jia Wu:
Trip Reinforcement Recommendation with Graph-based Representation Learning. ACM Trans. Knowl. Discov. Data 17(4): 57:1-57:20 (2023) - [j110]Yuyao Wang, Jie Cao, Zhan Bu, Jia Wu, Youquan Wang:
Dual Structural Consistency Preserving Community Detection on Social Networks. IEEE Trans. Knowl. Data Eng. 35(11): 11301-11315 (2023) - [j109]Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao:
Online Active Learning for Drifting Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(1): 186-200 (2023) - [j108]Lei Chen, Jie Cao, Weichao Liang, Jia Wu, Qiaolin Ye:
Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation. ACM Trans. Web 17(1): 5:1-5:21 (2023) - [j107]Guixiang Zhu, Jie Cao, Lei Chen, Youquan Wang, Zhan Bu, Shuxin Yang, Jianqing Wu, Zhiping Wang:
A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation. ACM Trans. Web 17(3): 18:1-18:30 (2023) - [j106]Youquan Wang, Zhiwen Dai, Jie Cao, Jia Wu, Haicheng Tao, Guixiang Zhu:
Intra- and inter-association attention network-enhanced policy learning for social group recommendation. World Wide Web (WWW) 26(1): 71-94 (2023) - [j105]Yufei Liu, Jie Cao, Jia Wu, Dechang Pi:
Modeling the social influence of COVID-19 via personalized propagation with deep learning. World Wide Web (WWW) 26(4): 2075-2097 (2023) - [j104]Haicheng Tao, Jiawei Miao, Zhao Li, Zhenyu Zhang, Shuming Feng, Shu Wang, Jie Cao:
HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series. World Wide Web (WWW) 26(5): 2785-2800 (2023) - 2022
- [j103]Jun Wu, Jie Cao, Hongliang Sun, Chongjun Wang:
A Bayesian optimal social law synthesizing mechanism for strategical agents. Auton. Agents Multi Agent Syst. 36(2): 48 (2022) - [j102]Dandan Ma, Shuqing Li, Jia Tina Du, Zhan Bu, Jie Cao, Jianjun Sun:
Engaging voluntary contributions in online review platforms: The effects of a hierarchical badges system. Comput. Hum. Behav. 127: 107042 (2022) - [j101]Jing He, Guangyan Huang, Jie Cao, Zhiwang Zhang, Hui Zheng, Peng Zhang, Roozbeh Zarei, Ferry Susanto, Ruchuan Wang, Yimu Ji, Weibei Fan, Zhijun Xie, Xiancheng Wang, Mengjiao Guo, Chi-Hung Chi, Jiekui Zhang, Youtao Li, Xiaojun Chen, Yong Shi, André Van Zundert:
A polynomial-time algorithm for simple undirected graph isomorphism. Concurr. Comput. Pract. Exp. 34(3) (2022) - [j100]Lei Chen, Jie Cao, Youquan Wang, Weichao Liang, Guixiang Zhu:
Multi-view Graph Attention Network for Travel Recommendation. Expert Syst. Appl. 191: 116234 (2022) - [j99]Weichao Liang, Youquan Wang, Haicheng Tao, Jie Cao:
Towards hour-level crime prediction: A neural attentive framework with spatial-temporal-categorical fusion. Neurocomputing 486: 286-297 (2022) - [j98]Hui-Jia Li, Shenpeng Song, Wenze Tan, Zhaoci Huang, Xiaoyan Li, Wenzhe Xu, Jie Cao:
Characterizing the fuzzy community structure in link graph via the likelihood optimization. Neurocomputing 512: 482-493 (2022) - [j97]Lingshan Liu, Ke Xiong, Jie Cao, Yang Lu, Pingyi Fan, Khaled Ben Letaief:
Average AoI Minimization in UAV-Assisted Data Collection With RF Wireless Power Transfer: A Deep Reinforcement Learning Scheme. IEEE Internet Things J. 9(7): 5216-5228 (2022) - [j96]Ruihong Jiang, Ke Xiong, Hong-Chuan Yang, Jie Cao, Zhangdui Zhong, Bo Ai:
Coverage Performance of UAV-Assisted SWIPT Networks With Directional Antennas. IEEE Internet Things J. 9(13): 10600-10609 (2022) - [j95]Shuxin Yang, Suxin Tong, Guixiang Zhu, Jie Cao, Youquan Wang, Zhengfa Xue, Hongliang Sun, Yu Wen:
MVE-FLK: A multi-task legal judgment prediction via multi-view encoder fusing legal keywords. Knowl. Based Syst. 239: 107960 (2022) - [j94]Jiuchuan Jiang, Yuan Li, Y. Jiang, Zhan Bu, Jie Cao:
An intermediary utility-based service search and structure organization approach in service-oriented MAS. Knowl. Based Syst. 241: 108154 (2022) - [j93]Fan Yang, Xiaojian Ding, Yufeng Liu, Fumin Ma, Jie Cao:
Scalable semantic-enhanced supervised hashing for cross-modal retrieval. Knowl. Based Syst. 251: 109176 (2022) - [j92]Zhiwang Zhang, Jing He, Jie Cao, Shuqing Li, Xingsen Li, Kai Zhang, Pingjiang Wang, Yong Shi:
An explainable multi-sparsity multi-kernel nonconvex optimization least-squares classifier method via ADMM. Neural Comput. Appl. 34(18): 16103-16128 (2022) - [j91]Fan Yang, Yufeng Liu, Xiaojian Ding, Fumin Ma, Jie Cao:
Asymmetric cross-modal hashing with high-level semantic similarity. Pattern Recognit. 130: 108823 (2022) - [j90]Xiaojian Ding, Fan Yang, Yaoyi Zhong, Jie Cao:
A Novel Recursive Gene Selection Method Based on Least Square Kernel Extreme Learning Machine. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2026-2038 (2022) - [j89]Jie Cao, Yuyao Wang, Zhan Bu, Youquan Wang, Haicheng Tao, Guixiang Zhu:
Compactness Preserving Community Computation Via a Network Generative Process. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1044-1056 (2022) - [j88]Ke Xiong, Yuan Liu, Litong Zhang, Bo Gao, Jie Cao, Pingyi Fan, Khaled Ben Letaief:
Joint Optimization of Trajectory, Task Offloading, and CPU Control in UAV-Assisted Wireless Powered Fog Computing Networks. IEEE Trans. Green Commun. Netw. 6(3): 1833-1845 (2022) - [j87]Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. ACM Trans. Intell. Syst. Technol. 13(2): 32:1-32:25 (2022) - [j86]Hui-Jia Li, Lin Wang, Zhan Bu, Jie Cao, Yong Shi:
Measuring the Network Vulnerability Based on Markov Criticality. ACM Trans. Knowl. Discov. Data 16(2): 28:1-28:24 (2022) - [j85]Hui-Jia Li, Zhen Wang, Jie Cao, Jian Pei, Yong Shi:
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2860-2871 (2022) - [j84]Jie Cao, Youquan Wang, Haicheng Tao, Xiang Guo:
Sensor-based Human Activity Recognition Using Graph LSTM and Multi-task Classification Model. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 139:1-139:19 (2022) - [j83]Jiuchuan Jiang, Kai Di, Bo An, Yichuan Jiang, Zhan Bu, Jie Cao:
Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets. IEEE Trans. Parallel Distributed Syst. 33(12): 3600-3615 (2022) - [j82]Guangliang Gao, Zhiang Wu, Lu Zhang, Jie Cao, Xinzhe Qi:
Community Detection via Local Learning Based on Generalized Metric With Neighboring Regularization. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 498-510 (2022) - 2021
- [j81]Yuyao Wang, Zhan Bu, Huan Yang, Hui-Jia Li, Jie Cao:
An effective and scalable overlapping community detection approach: Integrating social identity model and game theory. Appl. Math. Comput. 390: 125601 (2021) - [j80]Xiaojian Ding, Fan Yang, Sheng Jin, Jie Cao:
An efficient alpha seeding method for optimized extreme learning machine-based feature selection algorithm. Comput. Biol. Medicine 134: 104505 (2021) - [j79]Jing He, Jinjun Chen, Guangyan Huang, Jie Cao, Zhiwang Zhang, Hui Zheng, Peng Zhang, Roozbeh Zarei, Ferry Sansoto, Ruchuan Wang, Yimu Ji, Weibei Fan, Zhijun Xie, Xiancheng Wang, Mengjiao Guo, Chi-Hung Chi, Paulo A. de Souza, Jiekui Zhang, Youtao Li, Xiaojun Chen, Yong Shi, David Green, Taraporewalla Kersi, André Van Zundert:
A polynomial-time algorithm for simple undirected graph isomorphism. Concurr. Comput. Pract. Exp. 33(7): 1 (2021) - [j78]Jie Cao, Da Ding, Jinliang Liu, Engang Tian, Songlin Hu, Xiangpeng Xie:
Hybrid-triggered-based security controller design for networked control system under multiple cyber attacks. Inf. Sci. 548: 69-84 (2021) - [j77]Xiaojian Ding, Jian Liu, Fan Yang, Jie Cao:
Random radial basis function kernel-based support vector machine. J. Frankl. Inst. 358(18): 10121-10140 (2021) - [j76]Lei Chen, Jie Cao, Huanhuan Chen, Weichao Liang, Haicheng Tao, Guixiang Zhu:
Attentive multi-task learning for group itinerary recommendation. Knowl. Inf. Syst. 63(7): 1687-1716 (2021) - [j75]Guixiang Zhu, Youquan Wang, Jie Cao, Zhan Bu, Shuxin Yang, Weichao Liang, Jingting Liu:
Neural Attentive Travel package Recommendation via exploiting long-term and short-term behaviors. Knowl. Based Syst. 211: 106511 (2021) - [j74]Yuyao Wang, Jie Cao, Zhan Bu, Jiuchuan Jiang, Huanhuan Chen:
Proximity-based group formation game model for community detection in social network. Knowl. Based Syst. 214: 106670 (2021) - [j73]Xiaojian Ding, Jian Liu, Fan Yang, Jie Cao:
Random compact Gaussian kernel: Application to ELM classification and regression. Knowl. Based Syst. 217: 106848 (2021) - [j72]Lei Chen, Jie Cao, Guixiang Zhu, Youquan Wang, Weichao Liang:
A multi-task learning approach for improving travel recommendation with keywords generation. Knowl. Based Syst. 233: 107521 (2021) - [j71]Jie Cao, Youquan Wang, Jing He, Weichao Liang, Haicheng Tao, Guixiang Zhu:
Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method. IEEE Trans. Ind. Informatics 17(6): 4390-4400 (2021) - [j70]Jiuchuan Jiang, Bo An, Yichuan Jiang, Chenyan Zhang, Zhan Bu, Jie Cao:
Group-Oriented Task Allocation for Crowdsourcing in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4417-4432 (2021) - [j69]Jinliang Liu, Tingting Yin, Jie Cao, Dong Yue, Hamid Reza Karimi:
Security Control for T-S Fuzzy Systems With Adaptive Event-Triggered Mechanism and Multiple Cyber-Attacks. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6544-6554 (2021) - 2020
- [j68]Xiaojian Ding, Fan Yang, Jian Liu, Jie Cao:
Extreme Learning Regression for nu Regularization. Appl. Artif. Intell. 34(5): 378-395 (2020) - [j67]Lei Chen, Lu Zhang, Shanshan Cao, Zhiang Wu, Jie Cao:
Personalized itinerary recommendation: Deep and collaborative learning with textual information. Expert Syst. Appl. 144: 113070 (2020) - [j66]Xiangpeng Xie, Hangtao Yuan, Dong Yue, Jie Cao:
Robust fault estimation of discrete-time nonlinear system based on an enhanced maximum-priority-based switching law. J. Frankl. Inst. 357(8): 5073-5090 (2020) - [j65]Jiuchuan Jiang, Yifeng Zhou, Yichuan Jiang, Zhan Bu, Jie Cao:
Batch allocation for decomposition-based complex task crowdsourcing e-markets in social networks. Knowl. Based Syst. 194: 105522 (2020) - [j64]Jiaxin Li, Ke Xiong, Jie Cao, Xi Yang, Tong Liu:
Energy Efficiency in RF Energy Harvesting-Powered Distributed Antenna Systems for the Internet of Things. Sensors 20(16): 4631 (2020) - [j63]Zhiang Wu, Aibo Song, Jie Cao, Junzhou Luo, Lu Zhang:
Efficiently Translating Complex SQL Query to MapReduce Jobflow on Cloud. IEEE Trans. Cloud Comput. 8(2): 508-517 (2020) - [j62]Zhiang Wu, Jie Cao, Yaqiong Wang, Youquan Wang, Lu Zhang, Junjie Wu:
hPSD: A Hybrid PU-Learning-Based Spammer Detection Model for Product Reviews. IEEE Trans. Cybern. 50(4): 1595-1606 (2020) - [j61]Hui-Jia Li, Zhan Bu, Zhen Wang, Jie Cao:
Dynamical Clustering in Electronic Commerce Systems via Optimization and Leadership Expansion. IEEE Trans. Ind. Informatics 16(8): 5327-5334 (2020) - [j60]Lei Chen, Zhiang Wu, Jie Cao, Guixiang Zhu, Yong Ge:
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization. ACM Trans. Intell. Syst. Technol. 11(2): 22:1-22:24 (2020) - [j59]Zhan Bu, Hui-Jia Li, Chengcui Zhang, Jie Cao, Aihua Li, Yong Shi:
Graph K-means Based on Leader Identification, Dynamic Game, and Opinion Dynamics. IEEE Trans. Knowl. Data Eng. 32(7): 1348-1361 (2020) - [j58]Zhiang Wu, Changsheng Li, Jie Cao, Yong Ge:
On Scalability of Association-rule-based Recommendation: A Unified Distributed-computing Framework. ACM Trans. Web 14(3): 13:1-13:21 (2020) - 2019
- [j57]Jinguang Han, Maoxuan Bei, Liqun Chen, Yang Xiang, Jie Cao, Fuchun Guo, Weizhi Meng:
Attribute-Based Information Flow Control. Comput. J. 62(8): 1214-1231 (2019) - [j56]Youquan Wang, Changjian Fang, Dongqin Shen, Zhiang Wu, Jie Cao:
Verifying the claimed sale-ranking trustworthy: A maximum marginal relevance-based ranking method. Concurr. Comput. Pract. Exp. 31(24) (2019) - [j55]Guixiang Zhu, Zhiang Wu, Youquan Wang, Shanshan Cao, Jie Cao:
Online purchase decisions for tourism e-commerce. Electron. Commer. Res. Appl. 38 (2019) - [j54]Fumin Ma, Mianwei Ding, Tengfei Zhang, Jie Cao:
Compressed binary discernibility matrix based incremental attribute reduction algorithm for group dynamic data. Neurocomputing 344: 20-27 (2019) - [j53]Haicheng Tao, Zhe Li, Zhiang Wu, Jie Cao:
Link communities detection: an embedding method on the line hypergraph. Neurocomputing 367: 46-54 (2019) - [j52]Zhan Bu, Yuyao Wang, Huijia Li, Jiuchuan Jiang, Zhiang Wu, Jie Cao:
Link prediction in temporal networks: Integrating survival analysis and game theory. Inf. Sci. 498: 41-61 (2019) - [j51]Jinliang Liu, Meng Yang, Engang Tian, Jie Cao, Shumin Fei:
Event-Based Security Control for State-Dependent Uncertain Systems Under Hybrid-Attacks and Its Application to Electronic Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(12): 4817-4828 (2019) - [j50]Zhan Bu, Huijia Li, Jie Cao, Zhen Wang, Guangliang Gao:
Dynamic Cluster Formation Game for Attributed Graph Clustering. IEEE Trans. Cybern. 49(1): 328-341 (2019) - [j49]Jiuchuan Jiang, Bo An, Yichuan Jiang, Peng Shi, Zhan Bu, Jie Cao:
Batch Allocation for Tasks with Overlapping Skill Requirements in Crowdsourcing. IEEE Trans. Parallel Distributed Syst. 30(8): 1722-1737 (2019) - [j48]Jie Cao, Zhan Bu, Yuyao Wang, Huan Yang, Jiuchuan Jiang, Hui-Jia Li:
Detecting Prosumer-Community Groups in Smart Grids From the Multiagent Perspective. IEEE Trans. Syst. Man Cybern. Syst. 49(8): 1652-1664 (2019) - [j47]Jinliang Liu, Yuanyuan Gu, Lijuan Zha, Yajuan Liu, Jie Cao:
Event-Triggered H∞ Load Frequency Control for Multiarea Power Systems Under Hybrid Cyber Attacks. IEEE Trans. Syst. Man Cybern. Syst. 49(8): 1665-1678 (2019) - 2018
- [j46]Lu Zhang, Zhiang Wu, Jie Cao:
Detecting Spammer Groups From Product Reviews: A Partially Supervised Learning Model. IEEE Access 6: 2559-2568 (2018) - [j45]Tengfei Zhang, Fumin Ma, Jie Cao, Chen Peng, Dong Yue:
Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce. Complex. 2018: 8291650:1-8291650:11 (2018) - [j44]Lu Zhang, Gaofeng He, Jie Cao, Haiting Zhu, Bingfeng Xu:
Spotting review spammer groups: A cosine pattern and network based method. Concurr. Comput. Pract. Exp. 30(20) (2018) - [j43]Guangliang Gao, Jie Cao, Zhan Bu, Huijia Li, Zhiang Wu:
A generalized game theoretic framework for mining communities in complex networks. Expert Syst. Appl. 96: 450-461 (2018) - [j42]Jinliang Liu, Jilei Xia, Jie Cao, Engang Tian:
Quantized state estimation for neural networks with cyber attacks and hybrid triggered communication scheme. Neurocomputing 291: 35-49 (2018) - [j41]Lijuan Zha, Engang Tian, Xiangpeng Xie, Zhou Gu, Jie Cao:
Decentralized event-triggered H∞ control for neural networks subject to cyber-attacks. Inf. Sci. 457-458: 141-155 (2018) - [j40]Lu Zhang, Zhiang Wu, Zhan Bu, Ye Jiang, Jie Cao:
A pattern-based topic detection and analysis system on Chinese tweets. J. Comput. Sci. 28: 369-381 (2018) - [j39]Zhan Bu, Jie Cao, Huijia Li, Guangliang Gao, Haicheng Tao:
GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks. Knowl. Inf. Syst. 55(3): 741-770 (2018) - [j38]Yin Zhang, Junming Zhao, Jie Cao, Bo Mao:
Microwave Metamaterial Absorber for Non-Destructive Sensing Applications of Grain. Sensors 18(6): 1912 (2018) - [j37]Jiuchuan Jiang, Bo An, Yichuan Jiang, Donghui Lin, Zhan Bu, Jie Cao, Zhifeng Hao:
Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach. ACM Trans. Auton. Adapt. Syst. 13(2): 8:1-8:32 (2018) - [j36]Huijia Li, Zhan Bu, Zhen Wang, Jie Cao, Yong Shi:
Enhance the Performance of Network Computation by a Tunable Weighting Strategy. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 214-223 (2018) - 2017
- [j35]Rongyao Hu, Jie Cao, Debo Cheng, Wei He, Yonghua Zhu, Qing Xie, Guoqiu Wen:
Self-representation dimensionality reduction for multi-model classification. Neurocomputing 253: 154-161 (2017) - [j34]Zhan Bu, Guangliang Gao, Huijia Li, Jie Cao:
CAMAS: A cluster-aware multiagent system for attributed graph clustering. Inf. Fusion 37: 10-21 (2017) - [j33]Jinliang Liu, Lili Wei, Engang Tian, Shumin Fei, Jie Cao:
H∞ filtering for networked systems with hybrid-triggered communication mechanism and stochastic cyber attacks. J. Frankl. Inst. 354(18): 8490-8512 (2017) - [j32]Guixiang Zhu, Jie Cao, Changsheng Li, Zhiang Wu:
A recommendation engine for travel products based on topic sequential patterns. Multim. Tools Appl. 76(16): 17595-17612 (2017) - [j31]Junjie Wu, Zhiang Wu, Jie Cao, Hongfu Liu, Guoqing Chen, Yanchun Zhang:
Fuzzy Consensus Clustering With Applications on Big Data. IEEE Trans. Fuzzy Syst. 25(6): 1430-1445 (2017) - 2016
- [j30]Zhiang Wu, Guangliang Gao, Zhan Bu, Jie Cao:
SIMPLE: a simplifying-ensembling framework for parallel community detection from large networks. Clust. Comput. 19(1): 211-221 (2016) - [j29]Jinliang Liu, Qiuhong Liu, Jie Cao, Yuanyuan Zhang:
Adaptive event-triggered H∞ filtering for T-S fuzzy system with time delay. Neurocomputing 189: 86-94 (2016) - [j28]Jinguang Han, Ye Yang, Xinyi Huang, Tsz Hon Yuen, Jiguo Li, Jie Cao:
Accountable mobile E-commerce scheme via identity-based plaintext-checkable encryption. Inf. Sci. 345: 143-155 (2016) - [j27]Jie Cao, Bin Wang, Douglas Brown:
Similarity based leaf image retrieval using multiscale R-angle description. Inf. Sci. 374: 51-64 (2016) - [j26]Zhan Bu, Huijia Li, Jie Cao, Zhiang Wu, Lu Zhang:
Game theory based emotional evolution analysis for chinese online reviews. Knowl. Based Syst. 103: 60-72 (2016) - [j25]Youquan Wang, Zhiang Wu, Zhan Bu, Jie Cao, Dun Yang:
Discovering shilling groups in a real e-commerce platform. Online Inf. Rev. 40(1): 62-78 (2016) - [j24]Zhan Bu, Zhiang Wu, Jie Cao, Yichuan Jiang:
Local Community Mining on Distributed and Dynamic Networks From a Multiagent Perspective. IEEE Trans. Cybern. 46(4): 986-999 (2016) - [j23]Yi Zhuang, Nan Jiang, Zhiang Wu, Jie Cao, Chunhua Ju:
Efficient batch similarity join processing of social images based on arbitrary features. World Wide Web 19(4): 725-753 (2016) - 2015
- [j22]Guandong Xu, Zhiang Wu, Yanchun Zhang, Jie Cao:
Social networking meets recommender systems: survey. Int. J. Soc. Netw. Min. 2(1): 64-100 (2015) - [j21]Jinguang Han, Willy Susilo, Yi Mu, Man Ho Au, Jie Cao:
AAC-OT: Accountable Oblivious Transfer With Access Control. IEEE Trans. Inf. Forensics Secur. 10(12): 2502-2514 (2015) - [j20]Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen:
K-Means-Based Consensus Clustering: A Unified View. IEEE Trans. Knowl. Data Eng. 27(1): 155-169 (2015) - [j19]Weilong Yao, Jing He, Guangyan Huang, Jie Cao, Yanchun Zhang:
A Graph-based model for context-aware recommendation using implicit feedback data. World Wide Web 18(5): 1351-1371 (2015) - [j18]Zhiang Wu, Jie Cao, Guixiang Zhu, Wenpeng Yin, Alfredo Cuzzocrea, Jin Shi:
Detecting overlapping communities in poly-relational networks. World Wide Web 18(5): 1373-1390 (2015) - 2014
- [j17]Zhiang Wu, Jie Cao, Junjie Wu, Youquan Wang, Chunyang Liu:
Detecting Genuine Communities from Large-Scale Social Networks: A Pattern-Based Method. Comput. J. 57(9): 1343-1357 (2014) - [j16]Zidong Wang, Bachar Zineddin, Jinling Liang, Nianyin Zeng, Yurong Li, Min Du, Jie Cao, Xiaohui Liu:
cDNA microarray adaptive segmentation. Neurocomputing 142: 408-418 (2014) - [j15]Jinliang Liu, Jie Cao, Zhiang Wu, Qiong Qi:
State estimation for complex systems with randomly occurring nonlinearities and randomly missing measurements. Int. J. Syst. Sci. 45(7): 1364-1374 (2014) - [j14]Jie Cao, Zhiang Wu, Junjie Wu:
Scaling up cosine interesting pattern discovery: A depth-first method. Inf. Sci. 266: 31-46 (2014) - [j13]Bin Wang, Douglas Brown, Xiaozheng Zhang, Hanxi Li, Yongsheng Gao, Jie Cao:
Polygonal approximation using integer particle swarm optimization. Inf. Sci. 278: 311-326 (2014) - [j12]Guangyan Huang, Yanchun Zhang, Jie Cao, Michael Steyn, Kersi Taraporewalla:
Online mining abnormal period patterns from multiple medical sensor data streams. World Wide Web 17(4): 569-587 (2014) - 2013
- [j11]Zidong Wang, Bachar Zineddin, Jinling Liang, Nianyin Zeng, Yurong Li, Min Du, Jie Cao, Xiaohui Liu:
A novel neural network approach to cDNA microarray image segmentation. Comput. Methods Programs Biomed. 111(1): 189-198 (2013) - [j10]Zhiang Wu, Jie Cao, Haicheng Tao, Yi Zhuang:
A novel noise filter based on interesting pattern mining for bag-of-features images. Expert Syst. Appl. 40(18): 7555-7561 (2013) - [j9]Jie Cao, Zhiang Wu, Youquan Wang, Yi Zhuang:
Hybrid Collaborative Filtering algorithm for bidirectional Web service recommendation. Knowl. Inf. Syst. 36(3): 607-627 (2013) - [j8]Jie Cao, Zhiang Wu, Junjie Wu, Wenjie Liu:
Towards information-theoretic K-means clustering for image indexing. Signal Process. 93(7): 2026-2037 (2013) - [j7]Nianyin Zeng, Zidong Wang, Yurong Li, Min Du, Jie Cao, Xiaohui Liu:
Time Series Modeling of Nano-Gold Immunochromatographic Assay via Expectation Maximization Algorithm. IEEE Trans. Biomed. Eng. 60(12): 3418-3424 (2013) - [j6]Jie Cao, Zhiang Wu, Junjie Wu, Hui Xiong:
SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering. IEEE Trans. Cybern. 43(2): 570-584 (2013) - [j5]Jie Cao, Zhiang Wu, Bo Mao, Yanchun Zhang:
Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system. World Wide Web 16(5-6): 729-748 (2013) - 2012
- [j4]Jing He, Yanchun Zhang, Guangyan Huang, Yong Shi, Jie Cao:
Distributed data possession checking for securing multiple replicas in geographically-dispersed clouds. J. Comput. Syst. Sci. 78(5): 1345-1358 (2012) - [j3]Bo Mao, Jie Cao, Zhiang Wu:
Web-based Visualization of Generalized 3D City Models using HTML5 and X3DOM. Smart Comput. Rev. 2(5): 349-359 (2012) - 2011
- [j2]Yanchang Zhao, Jie Cao, Chengqi Zhang, Shichao Zhang:
Enhancing grid-density based clustering for high dimensional data. J. Syst. Softw. 84(9): 1524-1539 (2011) - 2010
- [j1]Jie Cao, Zhiang Wu:
An Improved Protocol for Deadlock and Livelock Avoidance Resource Co-allocation in Network Computing. World Wide Web 13(3): 373-388 (2010)
Conference and Workshop Papers
- 2022
- [c65]Xinhao Wang, Huiju Zhao, Youquan Wang, Haicheng Tao, Jie Cao:
Supervised Prototypical Variational Autoencoder for Shilling Attack Detection in Recommender Systems. DMBD (2) 2022: 231-245 - [c64]Zhenyu Zhang, Zhao Li, Dongyang Cai, Shuming Feng, Jiawei Miao, Yirun Guan, Haicheng Tao, Jie Cao:
Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning. ICKG 2022: 392-397 - [c63]Jiangnan Tang, Youquan Wang, Jie Cao, Haicheng Tao, Guixiang Zhu:
Inter- and Intra-Graph Attention Aggregation Learning for Multi-relational GNN Spam Detection. ITQM 2022: 1522-1530 - [c62]Jinjin Cao, Jie Cao, Youquan Wang:
Gentle Teaching Assistant Model For Improved Accuracy In Question-Answering. MLNLP 2022: 353-359 - [c61]Fan Yang, Qiao-Xi Zhang, Xiaojian Ding, Deyu Tong, Fumin Ma, Jie Cao:
SEAH: Semantic Preserving Asymmetric Hashing for Efficient Cross-Media retrieval. SMC 2022: 1260-1265 - 2021
- [c60]Jia-Tao Huang, Hong-Liang Sun, Xiao-Fei Chen, Xiao-lin Liu, Jie Cao:
An Iterative Deviation-based Ranking Method to Evaluate User Reputation in Online Rating Systems✱. DSIT 2021: 15-21 - [c59]Zhiwang Zhang, Jing He, Jie Cao, Shuqing Li, Yimu Ji, Gang Qian, Xingsen Li, Kai Zhang, Pingjiang Wang:
Maximum Projection Distance Classifier for High Dimension and Low Sample Size Problems. WI/IAT (Workshop/Special Session) 2021: 334-339 - [c58]Jia-Tao Huang, Hong-Liang Sun, Jie Cao, Lan Yi:
Identify Spammers in Rating Systems Using Multi-layer Graph Convolutional Network ✱. WI/IAT (Workshop/Special Session) 2021: 340-346 - 2020
- [c57]Yue Wei, Weichao Liang, Youquan Wang, Jie Cao:
CrimeSTC: A Deep Spatial-Temporal-Categorical Network for Citywide Crime Prediction. CIIS 2020: 75-79 - [c56]Xiang Guo, Youquan Wang, Kaiyuan Gao, Jie Cao, Haicheng Tao, Chaoyue Chen:
Integrating Bi-Dynamic Routing Capsule Network with Label-Constraint for Text classification. ICKG 2020: 4-11 - 2019
- [c55]Yufei Liu, Jie Cao:
IIRank: A Novel Algorithm for Identifying Influencers in Micro-Blog Social Networks. ICDM Workshops 2019: 735-740 - [c54]Chenxin Gu, Jie Cao:
Functional Dependency Discovery on Distributed Database: Sampling Verification Framework. ICDS 2019: 463-476 - [c53]Zi Qi, Zhan Bu, Xi Xiong, Hongliang Sun, Jie Cao, Chengcui Zhang:
A Stock Index Prediction Framework: Integrating Technical and Topological Mesoscale Indicators. IRI 2019: 23-30 - [c52]Yaqiang Yao, Jie Cao, Huanhuan Chen:
Robust Task Grouping with Representative Tasks for Clustered Multi-Task Learning. KDD 2019: 1408-1417 - 2018
- [c51]Yonggang Zeng, Fumin Ma, Jie Cao, Bo Mao:
Knowledge Granularity Based Incremental Attribute Reduction for Hybrid Attribute Data. CCIS 2018: 252-256 - [c50]Fumin Ma, Xintao Zhang, Jie Cao, Bo Mao, Gregory M. P. O'Hare:
Simulation of Continuous Enterprise Energy Consumption Process with Uncertain Factors. CCIS 2018: 502-506 - [c49]Weichao Liang, Zhiang Wu, Jie Cao, Jun Gu:
Understanding Customer Behavior in Shopping Mall from Indoor Tracking Data. CSCWD 2018: 648-653 - [c48]Chaoyi Pu, Zhiang Wu, Hui Chen, Kai Xu, Jie Cao:
A Sequential Recommendation for Mobile Apps: What Will User Click Next App? ICWS 2018: 243-248 - [c47]Changsheng Li, Weichao Liang, Zhiang Wu, Jie Cao:
An Efficient Distributed-Computing Framework for Association-Rule-Based Recommendation. ICWS 2018: 339-342 - [c46]Shuchang Chen, Bingchan Li, Jie Cao, Bo Mao:
Research on Agricultural Environment Prediction Based on Deep Learning. ITQM 2018: 33-40 - [c45]Kangcheng Jin, Jie Cao, Dongqin Shen:
the Algorithm of Warehouse Vehicle Trajectory Intelligent Identification. ITQM 2018: 64-70 - [c44]Bingchan Li, Bo Mao, Jie Cao:
Maintenance and Management of Marine Communication and Navigation Equipment Based on Virtual Reality. ITQM 2018: 221-226 - 2017
- [c43]Lu Zhang, Yang Yuan, Zhiang Wu, Jie Cao:
Semi-SGD: Semi-Supervised Learning Based Spammer Group Detection in Product Reviews. CBD 2017: 368-373 - [c42]Jian-Shu Zhang, Jie Cao, Bo Mao:
Application of deep learning and unmanned aerial vehicle technology in traffic flow monitoring. ICMLC 2017: 189-194 - [c41]Hanxiao Yu, Bingchan Li, Dongqin Shen, Jie Cao, Bo Mao:
Study on prediction model of grain post-harvest loss. ITQM 2017: 122-129 - [c40]Xueli Liu, Bingchan Li, Dongqin Shen, Jie Cao, Bo Mao:
Analysis of Grain Storage Loss Based on Decision Tree Algorithm. ITQM 2017: 130-137 - [c39]Wen Xu, Jing He, Bo Mao, Youtao Li, Peiqun Liu, Zhiwang Zhang, Jie Cao:
TIDM: Topic-Specific Information Detection Model. ITQM 2017: 229-236 - [c38]Tingkai Huang, Bingchan Li, Dongqin Shen, Jie Cao, Bo Mao:
Analysis of the grain loss in harvest based on logistic regression. ITQM 2017: 698-705 - 2016
- [c37]Lu Zhang, Zhan Bu, Zhiang Wu, Jie Cao:
DGWC: Distributed and generic web crawler for online information extraction. BESC 2016: 1-6 - [c36]Bowen Wang, Jun Yin, Qi Hua, Zhiang Wu, Jie Cao:
Parallelizing K-Means-Based Clustering on Spark. CBD 2016: 31-36 - [c35]Lu Zhang, Xiaopeng Wang, Zhan Bu, Jie Cao, Zhiang Wu:
Online Public Opinion System: Design and Applications. CBD 2016: 75-80 - [c34]Bo Mao, Zhengchun Yu, Jie Cao:
Large scale spatial temporal data visualization based on spark and 3D volume rendering. IJCNN 2016: 1879-1882 - [c33]Wen Xu, Jing He, Hao Lan Zhang, Bo Mao, Jie Cao:
Real-time target detection and recognition with deep convolutional networks for intelligent visual surveillance. UCC 2016: 321-326 - [c32]Dun Yang, Zhiang Wu, Xiaopeng Wang, Jie Cao, Guandong Xu:
Predicting Replacement of Smartphones with Mobile App Usage. WISE (1) 2016: 343-351 - 2015
- [c31]Jing He, Roozbeh Zarei, Jie Cao, Kersi Taraporewalla, Michael Steyn, André Van Zundert, Guangyan Huang, Hao Lan Zhang, Chi-Hung Chi:
Building the Computational Virtual Reality Environment for Anaesthetists' Training and Practice. SCC 2015: 242-248 - [c30]Weilong Yao, Jing He, Hua Wang, Yanchun Zhang, Jie Cao:
Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction. AAAI 2015: 374-380 - [c29]Guangliang Gao, Zhan Bu, Lingbo Liu, Jie Cao, Zhiang Wu:
A survival analysis method for stock market prediction. BESC 2015: 116-122 - [c28]Zhiang Wu, Youquan Wang, Yaqiong Wang, Junjie Wu, Jie Cao, Lu Zhang:
Spammers Detection from Product Reviews: A Hybrid Model. ICDM 2015: 1039-1044 - [c27]Bo Mao, Jing He, Jie Cao, Stephen W. Bigger, Todor Vasiljevic:
3D Model-Based Food Traceability Information Extraction Framework. ICDS 2015: 112-119 - [c26]Bo Mao, Jing He, Jie Cao, Stephen W. Bigger, Todor Vasiljevic:
A Framework for Food Traceability Information Extraction Based on a Video Surveillance System. ITQM 2015: 1285-1292 - 2014
- [c25]Haicheng Tao, Zhiang Wu, Jin Shi, Jie Cao, Xiaofeng Yu:
Overlapping Community Extraction: A Link Hypergraph Partitioning Based Method. IEEE SCC 2014: 123-130 - [c24]Zhan Bu, Guangliang Gao, Zhiang Wu, Jie Cao, Xiao Zheng:
Local Community Extraction for Non-overlapping and Overlapping Community Detection. ADMA 2014: 98-111 - [c23]Zhan Bu, Zhiang Wu, Liqiang Qian, Jie Cao, Guandong Xu:
A backbone extraction method with Local Search for complex weighted networks. ASONAM 2014: 85-88 - [c22]Zhexi Xu, Zhiang Wu, Jie Cao, Hengnong Xuan:
Scaling Information-Theoretic Text Clustering: A Sampling-based Approximate Method. CBD 2014: 18-25 - [c21]Guangliang Gao, Zhan Bu, Zhiang Wu, Yuan Li, Jie Cao:
Efficient Parallel Community Detection in Large Edge-Intensive Networks. CBD 2014: 253-260 - 2013
- [c20]Guangyan Huang, Jing He, Jie Cao, Zhi Qiao, Michael Steyn, Kersi Taraporewalla:
A real-time abnormality detection system for intensive care management. ICDE 2013: 1376-1379 - [c19]Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao:
A Theoretic Framework of K-Means-Based Consensus Clustering. IJCAI 2013: 1799-1805 - [c18]Yaqiong Wang, Hongfu Liu, Hao Lin, Junjie Wu, Zhiang Wu, Jie Cao:
SEA: a system for event analysis on chinese tweets. KDD 2013: 1498-1501 - [c17]Zhi Qiao, Guangyan Huang, Jing He, Peng Zhang, Li Guo, Jie Cao, Yanchun Zhang:
Discovering Semantics from Multiple Correlated Time Series Stream. PAKDD (2) 2013: 509-520 - [c16]Zhiang Wu, Wenpeng Yin, Jie Cao, Guandong Xu, Alfredo Cuzzocrea:
Community Detection in Multi-relational Social Networks. WISE (2) 2013: 43-56 - [c15]Youquan Wang, Haicheng Tao, Jie Cao, Zhiang Wu:
Understanding User Behavior through URL Analysis in Sina Tweets. WISE Workshops 2013: 98-108 - [c14]Weilong Yao, Jing He, Guangyan Huang, Jie Cao, Yanchun Zhang:
Personalized Recommendation on Multi-Layer Context Graph. WISE (1) 2013: 135-148 - [c13]Zhiang Wu, Haicheng Tao, Youquan Wang, Changjian Fang, Jie Cao:
A Cloud System for Community Extraction from Super-Large Scale Social Networks. WISE (2) 2013: 499-502 - 2012
- [c12]Denghui Liu, Jinli Cao, Jie Cao:
FEAS: A full-time event aware scheduler for improving responsiveness. ACSC 2012: 3-9 - [c11]Bo Mao, Jie Cao, Zhiang Wu, Guangyan Huang, Jingjun Li:
Predicting Driving Direction with Weighted Markov Model. ADMA 2012: 407-418 - [c10]Youquan Wang, Zhiang Wu, Jie Cao, Changjian Fang:
Towards a Tricksy Group Shilling Attack Model against Recommender Systems. ADMA 2012: 675-688 - [c9]Changjian Fang, Bo Mao, Jie Cao, Zhiang Wu:
Exploiting Space-Time Status for Service Recommendation. APWeb Workshops 2012: 245-256 - [c8]Zhi Qiao, Jing He, Jie Cao, Guangyan Huang, Peng Zhang:
Multiple Time Series Anomaly Detection Based on Compression and Correlation Analysis: A Medical Surveillance Case Study. APWeb 2012: 294-305 - [c7]Zhiang Wu, Junjie Wu, Jie Cao, Dacheng Tao:
HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation. KDD 2012: 985-993 - [c6]Haoran Hu, Zhiang Wu, Bo Mao, Yi Zhuang, Jie Cao, Jingui Pan:
Pick-Up Tree Based Route Recommendation from Taxi Trajectories. WAIM 2012: 471-483 - 2011
- [c5]Zhiang Wu, Jie Cao, Changjian Fang:
Data Cloud for Distributed Data Mining via Pipelined MapReduce. ADMI 2011: 316-330 - [c4]Jiajia Feng, Fei Xie, Xuegang Hu, Pei-Pei Li, Jie Cao, Xindong Wu:
Keyword extraction based on sequential pattern mining. ICIMCS 2011: 34-38 - [c3]Zhiang Wu, Jie Cao, Youquan Wang:
Dynamic Advance Reservation for Grid System Using Resource Pools. NPC 2011: 123-134 - [c2]Zhiang Wu, Jie Cao, Bo Mao, Youquan Wang:
Semi-SAD: applying semi-supervised learning to shilling attack detection. RecSys 2011: 289-292 - 2009
- [c1]Yanshan Xiao, Bo Liu, Longbing Cao, Xindong Wu, Chengqi Zhang, Zhifeng Hao, Fengzhao Yang, Jie Cao:
Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. ICDM Workshops 2009: 82-87
Editorship
- 2021
- [e4]Xiaoying Gao, Guangyan Huang, Jie Cao, Jian Cao, Ke Deng:
WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021 - Workshop/Special Session. ACM 2021, ISBN 978-1-4503-9187-0 [contents] - [e3]Jing He, Rainer Unland, Eugene Santos Jr., Xiaohui Tao, Hemant Purohit, Willem-Jan van den Heuvel, John Yearwood, Jie Cao:
WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14 - 17, 2021. ACM 2021, ISBN 978-1-4503-9115-3 [contents] - 2020
- [e2]Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao:
Data Science - 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, Revised Selected Papers. Communications in Computer and Information Science 1179, Springer 2020, ISBN 978-981-15-2809-5 [contents] - 2015
- [e1]Guandong Xu, Yves Demazeau, Shu-Heng Chen, Junjie Wu, Michael Gavin, Irwin King, Jie Cao, Zhiang Wu, Zhan Bu:
2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015. IEEE 2015, ISBN 978-1-4673-8783-5 [contents]
Reference Works
- 2018
- [r3]Zhiang Wu, Lu Zhang, Youquan Wang, Jie Cao:
Identifying Spam in Reviews. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r2]Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao:
Models for Community Dynamics. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2014
- [r1]Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao:
Models for Community Dynamics. Encyclopedia of Social Network Analysis and Mining 2014: 969-982
Informal and Other Publications
- 2022
- [i3]Guangliang Gao, Weichao Liang, Ming Yuan, Hanwei Qian, Qun Wang, Jie Cao:
Triangle-oriented Community Detection considering Node Features and Network Topology. CoRR abs/2207.00718 (2022) - [i2]Yufei Liu, Jie Cao, Dechang Pi:
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning. CoRR abs/2207.13016 (2022) - 2019
- [i1]Guangliang Gao, Zhifeng Bao, Jie Cao, A. Kai Qin, Timos Sellis, Zhiang Wu:
Location-Centered House Price Prediction: A Multi-Task Learning Approach. CoRR abs/1901.01774 (2019)
Coauthor Index
Hui-Jia Li
aka: Huijia Li
aka: Huijia Li
[b1] [j82] [j67] [j63] [j62] [j60] [j58] [j56] [j55] [j53] [j52] [j46] [j43] [j40] [j32] [j31] [j30] [j26] [j25] [j24] [j23] [j22] [j18] [j17] [j15] [j14] [j10] [j9] [j8] [j6] [j5] [j3] [j1] [c49] [c48] [c47] [c43] [c37] [c36] [c35] [c32] [c29] [c28] [c25] [c24] [c23] [c22] [c21] [c18] [c16] [c15] [c13] [c11] [c10] [c9] [c7] [c6] [c5] [c3] [c2] [e1] [r3] [r2] [r1] [i1]
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