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ORCIDJi Zhang 0001
Person information
- affiliation: University of Southern Queensland, Faculty of Health Engineering and Sciences, Toowoomba, Australia
- affiliation (PhD 2008): Dalhousie University, Halifax, NS, Canada
Other persons with the same name
- Ji Zhang — disambiguation page
- Ji Zhang 0002 — Auburn University, Department of Computer Science and Software Engineering, AL, USA
- Ji Zhang 0003
![[0000-0002-3122-3106]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3122-3106")
— Kaarta, Inc., Pittsburgh, PA, USA (and 1 more) - Ji Zhang 0004 — Henan University of Science and Technology, School of Mathematics and Statistics, Luoyang, China (and 1 more)
- Ji Zhang 0005 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
- Ji Zhang 0006 — Beijing Institute of Technology, School of Automation, China
- Ji Zhang 0007 — Wuhan University of Science and Technology, School of Computer Science and Technology / Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China
- Ji Zhang 0008 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Ji Zhang 0009 — Soochow University, School of Electronic and Information Engineering, Suzhou, China
- Ji Zhang 0010 — Huazhong University of Science and Technology, HUST, Wuhan National Laboratory for Optoelectronics, China (and 2 more)
- Ji Zhang 0011 — Alibaba Group, DAMO Academy, Hangzhou, China
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2020 – today
- 2023
[j56]Zhen Wang, Ting Jiang, Zenghui Xu, Ji Zhang, Jianliang Gao:
Irregularly Sampled Multivariate Time Series Classification: A Graph Learning Approach. IEEE Intell. Syst. 38(3): 3-11 (2023)- [j55]Markian Jaworsky, Xiaohui Tao, Lei Pan, Shiva Raj Pokhrel, Jianming Yong, Ji Zhang:
Interrelated feature selection from health surveys using domain knowledge graph. Health Inf. Sci. Syst. 11(1): 54 (2023) - [j54]Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu:
Exploring developments of the AI field from the perspective of methods, datasets, and metrics. Inf. Process. Manag. 60(2): 103157 (2023) - [j53]Ting Yu, Mengchi Liu, Zujie Ren, Ji Zhang:
A fast approximate method for k-edge connected component detection in graphs with high accuracy. Inf. Sci. 633: 384-409 (2023) - [j52]Shengrui Li, Yining Zhao, Jun Zhang, Ting Yu, Ji Zhang, Yue Gao:
High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11008-11023 (2023) - [j51]Jialin Wang, Xiaoru Qu, Jinze Bai, Zhao Li, Ji Zhang, Jun Gao:
SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5216-5229 (2023) - [j50]Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang:
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. IEEE Trans. Knowl. Data Eng. 35(6): 5823-5836 (2023) - [j49]Yifan He, Zhao Li, Zhenpeng Li, Shuigeng Zhou, Ting Yu, Ji Zhang:
Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management. IEEE Trans. Netw. Serv. Manag. 20(2): 1040-1050 (2023) - [c99]Xiaobo Zhang, Yutao Liu, Hao Wang, Wei Wang, Panpan Ni, Ji Zhang:
CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization. CIKM 2023: 3184-3194 - [c98]Ting Jiang, Ting Yu, Xueting Qiao, Ji Zhang:
An Efficient Embedding Framework for Uncertain Attribute Graph. DEXA (2) 2023: 219-229 - [c97]Markian Jaworsky, Xiaohui Tao, Jianming Yong, Lei Pan, Ji Zhang, Shiva Raj Pokhrel:
Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification. HIS 2023: 115-126 - [c96]Venkata Bharath Bandi, Xiaohui Tao, Thanveer Shaik, Jianming Yong, Ji Zhang:
The Impact on Employability by COVID-19 Pandemic - AI Case Studies. WISE 2023: 850-864 - 2022
- [j48]Jiamu Li, Ji Zhang, Mohamed Jaward Bah, Jian Wang, Youwen Zhu, Gaoming Yang, Lingling Li, Kexin Zhang:
An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection. Algorithms 15(11): 429 (2022) - [j47]Yan Pang, Teng Huang, Zhen Wang, Jianwei Li, Poorya Hosseini, Ji Zhang, Chao Liu, Shan Ai:
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification. Int. J. Intell. Syst. 37(11): 8747-8769 (2022) - [j46]Yan Pang, Ai Shan, Zhen Wang, Mengyu Wang, Jianwei Li, Ji Zhang, Teng Huang, Chao Liu:
Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network. Int. J. Intell. Syst. 37(11): 8770-8789 (2022) - [j45]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. Knowl. Based Syst. 235: 107621 (2022) - [j44]Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong, Yuefeng Li, Haoran Xie:
Graph-based multi-label disease prediction model learning from medical data and domain knowledge. Knowl. Based Syst. 235: 107662 (2022) - [j43]Xi Weng, Yan Yan, Genshun Dong, Chang Shu, Biao Wang, Hanzi Wang, Ji Zhang:
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes. IEEE Trans. Intell. Transp. Syst. 23(10): 17224-17240 (2022) - [j42]Youxi Wu, Xiaohui Wang, Yan Li, Lei Guo, Zhao Li, Ji Zhang, Xindong Wu:
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining. ACM Trans. Manag. Inf. Syst. 13(3): 25:1-25:23 (2022) - [j41]Ting Jiang, Yang Zhang, Minhao Zhang, Ting Yu, Yizheng Chen, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou:
A Survey on Contact Tracing: The Latest Advancements and Challenges. ACM Trans. Spatial Algorithms Syst. 8(2): 1-35 (2022) - [c95]Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang:
Logit Perturbation. AAAI 2022: 1359-1366 - [c94]Yuxin Wu, Zenghui Xu, Hongzhou Li, Yuquan Gan, Josh Jia-Ching Ying, Ting Yu, Ji Zhang:
Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention. ADMA (1) 2022: 93-105 - [c93]Josh Jia-Ching Ying, Wan-Ju Yang, Ji Zhang, Yu-Ching Ni, Chia-Yu Lin, Fan-Pin Tseng, Xiaohui Tao:
A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography. ADMA (1) 2022: 275-289 - [c92]Yuquan Gan, Wenqiang Li, Ying Liu, Jinglu He, Ji Zhang:
Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold Constraint. AIPR 2022: 873-879 - [c91]Yani Wang, Ji Zhang, Xiangmin Zhou, Yang Zhang:
Hierarchical Aggregation Based Knowledge Graph Embedding for Multi-task Recommendation. APWeb/WAIM (3) 2022: 174-181 - [c90]Tamara Abdulmunim Abduljabbar, Xiaohui Tao, Ji Zhang, Jianming Yong, Xujuan Zhou:
A Secured Movie Recommendation System using Decentralized Blockchain Network. BESC 2022: 1-6 - [c89]Ting Jiang, Ting Yu, Zexian Hong, Zujie Ren, Ji Zhang:
A Parallel Framework for Streaming Graphs Computing. IEEE Big Data 2022: 6673-6675 - [c88]Raid Lafta, Hisham Alshaheen, Biao Wang, Xiaohui Tao, Lingling Li, Kexin Zhang, Ji Zhang:
Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals. IEEE Big Data 2022: 6745-6746 - [c87]Zhen Wang, Madison Cooley, Yang Zhang, Chao Lan, Ji Zhang:
Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction. IEEE Big Data 2022: 6827-6829 - [c86]Zenghui Xu, Ting Yu, Xingyun Hong, Mingzhang Li, Yang Zhang, Zujie Ren, Ji Zhang:
IDGMS: a One-Stop Graph Mining System for Infectious Diseases. IEEE Big Data 2022: 6835-6837 - [c85]Yang Zhang, Zhen Wang, Ting Yu, Mingming Lu, Zujie Ren, Ji Zhang:
Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks. IEEE Big Data 2022: 6847-6849 - [c84]Tamara Abdulmunim Abduljabbar, Xiaohui Tao, Ji Zhang, Jianming Yong, Xujuan Zhou:
Decentralized Blockchain Network. CBD 2022: 234-239 - [c83]Xiangze Jia, Ji Zhang, Zhen Wang, Yonglong Luo, Fulong Chen, Gaoming Yang:
Skeleton-Based Mutual Action Recognition Using Interactive Skeleton Graph and Joint Attention. DEXA (2) 2022: 110-116 - [c82]Qiliang Liang, Ji Zhang, Mohamed Jaward Bah, Hongzhou Li, Liang Chang, Rage Uday Kiran:
Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks. DEXA (2) 2022: 174-187 - [c81]Markian Jaworsky, Xiaohui Tao, Jianming Yong, Lei Pan, Ji Zhang, Shiva Raj Pokhrel:
Automated Knowledge Graph Construction for Healthcare Domain. HIS 2022: 258-265 - [c80]Mohamed Jaward Bah, Ji Zhang, Ting Yu, Feng Xia, Zhao Li, Shuigeng Zhou, Hongzhi Wang:
A Generative Adversarial Active Learning Method for Effective Outlier Detection. ICTAI 2022: 131-139 - [c79]Xiangze Jia, Ji Zhang, Zhen Wang, Yonglong Luo, Fulong Chen, Jing Xiao:
JointContrast: Skeleton-Based Mutual Action Recognition with Contrastive Learning. PRICAI (3) 2022: 478-489 - [c78]Nian Xue, Ji Zhang, Zhen Li, Xianbin Hong, Haijiang Tang, Xin Huang:
SFIOT: Software-Defined Function for the IoT. WoWMoM 2022: 20-30 - [i13]Xi Weng, Yan Yan, Genshun Dong, Chang Shu, Biao Wang, Hanzi Wang, Ji Zhang:
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes. CoRR abs/2203.04037 (2022) - [i12]Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang:
Class-Level Logit Perturbation. CoRR abs/2209.05668 (2022) - [i11]Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gündüz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan:
Intelligent Computing: The Latest Advances, Challenges and Future. CoRR abs/2211.11281 (2022) - 2021
- [j40]Qiao Xue, Youwen Zhu, Jian Wang, Xingxin Li, Ji Zhang:
Locally differentially private distributed algorithms for set intersection and union. Sci. China Inf. Sci. 64(11) (2021) - [j39]Mohamed Jaward Bah, Hongzhi Wang, Li-Hui Zhao, Ji Zhang, Jie Xiao:
EMM-CLODS: An Effective Microcluster and Minimal Pruning CLustering-Based Technique for Detecting Outliers in Data Streams. Complex. 2021: 9178461:1-9178461:20 (2021) - [j38]Xiaohui Tao, Wee Pheng Goh, Ji Zhang, Jianming Yong, Elizabeth Zhixin Goh, XueLing Oh:
Mobile-based learning of drug prescription for medical education using artificial intelligence techniques. Int. J. Mob. Learn. Organisation 15(4): 392-408 (2021) - [j37]Junshuai Song, Xiaoru Qu, Zehong Hu, Zhao Li, Jun Gao, Ji Zhang:
A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce. Neurocomputing 461: 587-597 (2021) - [j36]Jun Gao, Jiazun Chen, Zhao Li, Ji Zhang:
ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network. Proc. VLDB Endow. 14(6): 1006-1018 (2021) - [j35]Yifan He, Zhao Li, Lei Fu, Anhui Wang, Peng Zhang, Shuigeng Zhou, Ji Zhang, Ting Yu:
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. ACM Trans. Intell. Syst. Technol. 12(6): 72:1-72:19 (2021) - [c77]Jiamu Li, Ji Zhang, Jian Wang, Youwen Zhu, Mohamed Jaward Bah, Gaoming Yang, Yuquan Gan:
VAGA: Towards Accurate and Interpretable Outlier Detection Based on Variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data. IEEE BigData 2021: 5956-5958 - [c76]Zhen Wang, Yang Zhang, Ai Jiang, Ji Zhang, Zhao Li, Jun Gao, Ke Li, Chenhao Lu, Zujie Ren:
Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks. CIKM 2021: 3523-3527 - [c75]Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang:
LSTM Based Sentiment Analysis for Cryptocurrency Prediction. DASFAA (3) 2021: 617-621 - [c74]Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. DaWaK 2021: 81-93 - [c73]Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans:
AutoEncoder for Neuroimage. DEXA (2) 2021: 84-90 - [c72]Qiqiang Xu, Ji Zhang, Ting Yu, Wenbin Zhang, Mingli Zhang, Yonglong Luo, Fulong Chen, Zhen Liu:
An Effective Algorithm for Classification of Text with Weak Sequential Relationships. DEXA (2) 2021: 283-294 - [c71]Jianliang Gao, Zhao Li, Fan Xiong, Xiangyue Liu, Jie Xiao, Biao Wang, Ji Zhang:
TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. HPCC/DSS/SmartCity/DependSys 2021: 2050-2059 - [c70]Jingdong Li, Zhao Li, Jiaming Huang, Ji Zhang, Xiaoling Wang, Xingjian Lu, Jingren Zhou:
Large-scale Fake Click Detection for E-commerce Recommendation Systems. ICDE 2021: 2595-2606 - [c69]Li Zheng, Jun Gao, Zhao Li, Ji Zhang:
AdaBoosting Clusters on Graph Neural Networks. ICDM 2021: 1523-1528 - [c68]Xin Huang, Xuejiao Tang, Wenbin Zhang, Ji Zhang, Mingli Zhang, Wensheng Gan, Shichao Pei, Zhen Liu, Yiyi Huang:
A Generic Knowledge Based Medical Diagnosis Expert System. iiWAS 2021: 462-466 - [c67]Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang:
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. IJCAI 2021: 3536-3542 - [c66]Junwei Zhang, Ruifang He, Zhao Li, Ji Zhang, Biao Wang, Zhaolin Li, Tianyuan Niu:
Quantum Correlation Revealed by Bell State for Classification Tasks. IJCNN 2021: 1-8 - [c65]Junwei Zhang, Zhao Li, Ruifang He, Ji Zhang, Biao Wang, Zhaolin Li, Tianyuan Niu:
Interactive Quantum Classifier Inspired by Quantum Open System Theory. IJCNN 2021: 1-7 - [c64]Yani Wang, Aoran Li, Ji Zhang, Bohan Li:
Enhanced Knowledge Graph Embedding for Multi-Task Recommendation via Integrating Attribute Information and High-Order Connectivity. IJCKG 2021: 140-144 - [c63]Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu:
Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. KDD 2021: 3670-3678 - [c62]Zhen Wang, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin, Jing Xiao, Rage Uday Kiran:
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. PAKDD (1) 2021: 53-65 - [c61]Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang:
What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. WWW (Companion Volume) 2021: 105-113 - [c60]Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Ji Zhang, Jun Gao:
ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. WWW 2021: 1540-1551 - [i10]Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang:
LSTM Based Sentiment Analysis for Cryptocurrency Prediction. CoRR abs/2103.14804 (2021) - [i9]Xuejiao Tang, Xin Huang, Wenbin Zhang, Travers B. Child, Qiong Hu, Zhen Liu, Ji Zhang:
Cognitive Visual Commonsense Reasoning Using Dynamic Working Memory. CoRR abs/2107.01671 (2021) - [i8]Xin Huang, Xuejiao Tang, Wenbin Zhang, Shichao Pei, Ji Zhang, Wensheng Gan, Mingli Zhang, Zhen Liu, Ruijun Chen, Yiyi Huang:
A Generic Knowledge Based Medical Diagnosis Expert System. CoRR abs/2110.04439 (2021) - 2020
- [j34]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
Efficient Chain Structure for High-Utility Sequential Pattern Mining. IEEE Access 8: 40714-40722 (2020) - [j33]M. Saqib Nawaz, Philippe Fournier-Viger, Ji Zhang:
Proof Learning in PVS With Utility Pattern Mining. IEEE Access 8: 119806-119818 (2020) - [j32]Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang:
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. Complex. 2020: 8828087:1-8828087:13 (2020) - [j31]Ji Zhang, Leonard Tan, Xiaohui Tao, Thuan Pham, Bing Chen:
Relational intelligence recognition in online social networks - A survey. Comput. Sci. Rev. 35: 100221 (2020) - [j30]Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong:
Constructing a knowledge-based heterogeneous information graph for medical health status classification. Health Inf. Sci. Syst. 8(1): 10 (2020) - [j29]Jerry Chun-Wei Lin, Yinan Shao, Ji Zhang, Unil Yun:
Enhanced sequence labeling based on latent variable conditional random fields. Neurocomputing 403: 431-440 (2020) - [j28]Jerry Chun-Wei Lin, Ting Li, Matin Pirouz, Ji Zhang, Philippe Fournier-Viger:
High average-utility sequential pattern mining based on uncertain databases. Knowl. Inf. Syst. 62(3): 1199-1228 (2020) - [j27]Wee Pheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong:
Feature-Based Learning in Drug Prescription System for Medical Clinics. Neural Process. Lett. 52(3): 1703-1721 (2020) - [j26]Raid Lafta, Ji Zhang, Xiaohui Tao, Xiaodong Zhu, Hongzhou Li, Liang Chang, Ravinesh C. Deo:
A general extensible learning approach for multi-disease recommendations in a telehealth environment. Pattern Recognit. Lett. 132: 106-114 (2020) - [j25]Xiaohui Tao, Thuan Pham, Ji Zhang, Jianming Yong, Wee Pheng Goh, Wenping Zhang, Yi Cai:
Mining health knowledge graph for health risk prediction. World Wide Web 23(4): 2341-2362 (2020) - [c59]Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. BIBM 2020: 757-764 - [c58]Srinivas Danda, Ji Zhang, Xiaohui Tao, Jerry Chun-Wei Lin, Wenbin Zhang:
Context-aware Adaptive Outlier Detection in Trajectory Data. IEEE BigData 2020: 5655-5657 - [c57]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. IEEE BigData 2020: 5834-5838 - [c56]Qiqiang Xu, Ji Zhang, Youwen Zhu, Bohan Li, Donghai Guan, Xin Wang:
A Block-Level RNN Model for Resume Block Classification. IEEE BigData 2020: 5855-5857 - [c55]Qiqiang Xu, Ji Zhang, Zenghui Xu, Yonglong Luo, Fulong Chen, Xiaoyao Zheng, Gaoming Yang:
Effective Tuple-based Anonymization for Massive Streaming Categorical Data. IEEE BigData 2020: 5858-5860 - [c54]Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao:
Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. CIKM 2020: 2693-2700 - [c53]Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Jiaming Huang, Pengrui Hui, Jun Gao, Ji Zhang, Zujie Ren:
Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling. DASFAA (3) 2020: 673-684 - [c52]Divya Sukumar, Ji Zhang, Xiaohui Tao, Xin Wang, Wenbin Zhang:
Predicting Workplace Injuries Using Machine Learning Algorithms. DSAA 2020: 763-764 - [c51]Wenbin Zhang, Mingli Zhang, Ji Zhang, Zhen Liu, Zhiyuan Chen, Jianwu Wang, Edward Raff, Enza Messina:
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams. ICTAI 2020: 399-406 - [i7]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. CoRR abs/2010.13583 (2020) - [i6]Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu:
AI Marker-based Large-scale AI Literature Mining. CoRR abs/2011.00518 (2020) - [i5]Ting Jiang, Yizheng Chen, Yang Zhang, Minhao Zhang, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou:
A Survey on Contact Tracing: the Latest Advancements and Challenges. CoRR abs/2011.02094 (2020) - [i4]Zhao Li, Donghui Ding, Pengcheng Zou, Yu Gong, Xi Chen, Ji Zhang, Jianliang Gao, Youxi Wu, Yucong Duan:
Distant Supervision for E-commerce Query Segmentation via Attention Network. CoRR abs/2011.04166 (2020) - [i3]Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang:
Using Machine Learning to Automate Mammogram Images Analysis. CoRR abs/2012.03151 (2020) - [i2]Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang:
A Data-driven Human Responsibility Management System. CoRR abs/2012.03190 (2020)
2010 – 2019
- 2019
- [j24]Xingxin Li, Youwen Zhu, Jian Wang, Ji Zhang:
Efficient and secure multi-dimensional geometric range query over encrypted data in cloud. J. Parallel Distributed Comput. 131: 44-54 (2019) - [j23]Ji Zhang, Leonard Tan, Xiaohui Tao:
On relational learning and discovery in social networks: a survey. Int. J. Mach. Learn. Cybern. 10(8): 2085-2102 (2019) - [c50]Xiaohui Tao, Ravi Dharmalingam, Ji Zhang, Xujuan Zhou, Lin Li, Raj Gururajan:
Twitter Analysis for Depression on Social Networks based on Sentiment and Stress. BESC 2019: 1-4 - [c49]Rujing Yao, Linlin Hou, Yingchun Ye, Ji Zhang, Jian Wu:
Method and Dataset Mining in Scientific Papers. IEEE BigData 2019: 6260-6262 - [c48]Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong, Xujuan Zhou, Raj Gururajan:
MeKG: Building a Medical Knowledge Graph by Data Mining from MEDLINE. BI 2019: 159-168 - [c47]Brendan Lys, Xiaohui Tao, Tony Machin, Ji Zhang, Ning Zhong:
Identification of Stress Impact on Personality Density Distributions. BI 2019: 265-272 - [c46]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
An Efficient Chain Structure to Mine High-Utility Sequential Patterns. ICDM Workshops 2019: 1013-1019 - [c45]Hafiz Suliman Munawar, Ji Zhang, Hongzhou Li, Deqing Mo, Liang Chang:
Mining Multispectral Aerial Images for Automatic Detection of Strategic Bridge Locations for Disaster Relief Missions. PAKDD (Workshops) 2019: 189-200 - [c44]WeePheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong, XueLing Oh, Elizabeth Zhixin Goh:
Personalised Drug Prescription for Dental Clinics Using Word Embedding. WISE Workshops 2019: 45-54 - [c43]Ji Zhang, Leonard Tan, Xiaohui Tao, Hongzhou Li, Fulong Chen, Yonglong Luo:
SLIND+: Stable LINk Detection. WISE Workshops 2019: 73-80 - [c42]Ji Zhang, Leonard Tan, Xiaohui Tao, Dianwei Wang, Josh Jia-Ching Ying, Xin Wang:
Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks. WISE 2019: 660-674 - [c41]