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ORCIDGe Yu 0001
于戈
Person information
- unicode name: 于戈
- affiliation: Northeastern University, School of Information Science and Engineering, Shenyang, China
- affiliation (PhD 1996): Kyushu University, Japan
Other persons with the same name
- Ge Yu — disambiguation page
- Ge Yu 0002 — China Academy of Railway Science, Beijing
- Ge Yu 0003 — Tianjin University, State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin, China
- Ge Yu 0004 — Hangzhou Normal University, Hangzhou, China
- Ge Yu 0005
![[0000-0002-6814-3177]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6814-3177")
— Peking University, Collage of Engineering, Department of Industrial Engineering and Management, Beijing, China
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2020 – today
- 2023
[j171]Zhigang Wang, Ning Wang, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
A lock-free approach to parallelizing personalized PageRank computations on GPU. Frontiers Comput. Sci. 17(1): 171602 (2023)- [j170]Yingjie Liu, Tiancheng Zhang, Xuecen Wang, Ge Yu, Tao Li:
New development of cognitive diagnosis models. Frontiers Comput. Sci. 17(1): 171604 (2023) - [j169]Zhuojin Liu, Shufeng Gong, Yuxuan Su, Changyi Wan, Yanfeng Zhang, Ge Yu:
Improving Density Peaks Clustering through GPU acceleration. Future Gener. Comput. Syst. 141: 399-413 (2023) - [j168]Qian Li, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu:
Variational autoencoder densified graph attention for fusing synonymous entities: Model and protocol. Knowl. Based Syst. 259: 110061 (2023) - [j167]Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. IEEE Trans. Parallel Distributed Syst. 34(2): 687-703 (2023) - [c311]Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu:
Effective Graph Kernels for Evolving Functional Brain Networks. WSDM 2023: 150-158 - [i12]Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu:
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability. CoRR abs/2302.08673 (2023) - [i11]Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. CoRR abs/2303.06213 (2023) - 2022
- [j166]Jiwen Ding, Zhuojin Liu, Yanfeng Zhang, Shufeng Gong, Ge Yu:
LayerLSH: Rebuilding Locality-Sensitive Hashing Indices by Exploring Density of Hash Values. IEEE Access 10: 69851-69865 (2022) - [j165]Shumin Han, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu:
An enhanced privacy-preserving record linkage approach for multiple databases. Clust. Comput. 25(5): 3641-3652 (2022) - [j164]Jie Song, Pengyi Zhang, Mohammed Alkubati, Yubin Bao, Ge Yu:
Research advances on blockchain-as-a-service: architectures, applications and challenges. Digit. Commun. Networks 8(4): 466-475 (2022) - [j163]Yu Hu, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu:
Biomedical entity linking based on less labeled data. Frontiers Comput. Sci. 16(3): 163343 (2022) - [j162]Zhen Song, Yu Gu, Zhigang Wang, Ge Yu:
DRPS: efficient disk-resident parameter servers for distributed machine learning. Frontiers Comput. Sci. 16(4): 164321 (2022) - [j161]Ning Wang, Wei Zheng, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu:
Collecting and analyzing key-value data under shuffled differential privacy. Frontiers Comput. Sci. 17(2): 172606 (2022) - [j160]Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu:
Versatility or validity: A comprehensive review on simulation of Datacenters powered by Renewable Energy mix. Future Gener. Comput. Syst. 136: 326-341 (2022) - [j159]Xue He, Tiancheng Zhang, Minghe Yu, Ge Yu, Yuhai Zhao:
An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. Int. J. Softw. Informatics 12(4): 501-515 (2022) - [j158]Yue Kou, Dong Li, Derong Shen, Tiezheng Nie, Ge Yu:
Incremental User Identification Across Social Networks Based on User-Guider Similarity Index. J. Comput. Sci. Technol. 37(5): 1086-1104 (2022) - [j157]Yun Zhang, Minghe Yu, Tiancheng Zhang, Ge Yu:
Semantic enhanced Top-k similarity search on weighted HIN. Neural Comput. Appl. 34(19): 16911-16927 (2022) - [j156]Jinfeng Peng, Derong Shen, Nan Tang, Tieying Liu, Yue Kou, Tiezheng Nie, Hang Cui, Ge Yu:
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks. Proc. VLDB Endow. 16(3): 433-446 (2022) - [j155]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. 34(3): 1053-1065 (2022) - [j154]Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang:
Distributed Hypergraph Processing Using Intersection Graphs. IEEE Trans. Knowl. Data Eng. 34(7): 3182-3195 (2022) - [j153]Jie Song, Shengqiang Hu, Yubin Bao, Ge Yu:
Compress Blocks or Not: Tradeoffs for Energy Consumption of a Big Data Processing System. IEEE Trans. Sustain. Comput. 7(1): 112-124 (2022) - [j152]Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu:
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU. World Wide Web 25(3): 1377-1402 (2022) - [c310]Jingwen Bai, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu:
Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs. WISA 2022: 64-76 - [c309]Yuhang Su, Yu Gu, Yang Song, Ge Yu:
Accelerating Hypergraph Motif Counting Based on Hyperedge Relations. APWeb/WAIM (2) 2022: 3-11 - [c308]Lisha Wu, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu:
KEP-Rec: A Knowledge Enhanced User-Item Relation Prediction Model for Personalized Recommendation. APWeb/WAIM (2) 2022: 239-254 - [c307]Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu:
Parallel Skyline Processing Using Space Pruning on GPU. CIKM 2022: 1074-1083 - [c306]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM 2022: 4234-4238 - [c305]Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Multi-task Generative Adversarial Network for Missing Mobility Data Imputation. CIKM 2022: 4480-4484 - [c304]Shaopeng Yang, Tiancheng Zhang, Siyuan Mao, Ge Yu, Yiming Sun:
MAKT: A Knowledge Tracing Model Based on Meta Path and Attention Mechanism. CSSE 2022: 70-74 - [c303]Wenzhou Dou, Derong Shen, Tiezheng Nie, Yue Kou, Chenchen Sun, Hang Cui, Ge Yu:
Empowering Transformer with Hybrid Matching Knowledge for Entity Matching. DASFAA (3) 2022: 52-67 - [c302]Longcan Wu, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu:
Collaborative Filtering for Recommendation in Geometric Algebra. DASFAA (2) 2022: 256-263 - [c301]Yumeng Song, Yu Gu, Xiaohua Li, Chuanwen Li, Ge Yu:
CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning. DASFAA (1) 2022: 731-738 - [c300]Di Wei, Yu Gu, Yumeng Song, Zhen Song, Fangfang Li, Ge Yu:
IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance. DASFAA (1) 2022: 739-746 - [c299]Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu:
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. ICDE 2022: 648-660 - [c298]Qiange Wang, Yanfeng Zhang, Hao Wang, Chaoyi Chen, Xiaodong Zhang, Ge Yu:
NeutronStar: Distributed GNN Training with Hybrid Dependency Management. SIGMOD Conference 2022: 1301-1315 - [c297]Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang, Ge Yu:
Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces. WISE 2022: 579-594 - [i10]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR abs/2208.11873 (2022) - [i9]Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. CoRR abs/2208.14935 (2022) - 2021
- [j151]Guo Fu, Yanfeng Zhang, Ge Yu:
A Fair Comparison of Message Queuing Systems. IEEE Access 9: 421-432 (2021) - [j150]Xiaoguang Li, Xin Zhang, Lixin Wang, Ge Yu:
Offline Multi-Policy Gradient for Latent Mixture Environments. IEEE Access 9: 801-812 (2021) - [j149]Minghe Yu, Chengliang Chai, Ge Yu:
A Tree-Based Indexing Approach for Diverse Textual Similarity Search. IEEE Access 9: 8866-8876 (2021) - [j148]Jia Xu, Qiuyun Li, Jing Liu, Pin Lv, Ge Yu:
Leveraging Cognitive Diagnosis to Improve Peer Assessment in MOOCs. IEEE Access 9: 50466-50484 (2021) - [j147]Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu:
Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer. IEEE Access 9: 55413-55421 (2021) - [j146]Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu:
GPU-Based Dynamic Hyperspace Hash with Full Concurrency. Data Sci. Eng. 6(3): 265-279 (2021) - [j145]Zihan Zhou, Yu Gu, Ge Yu:
Adversarial network embedding using structural similarity. Frontiers Comput. Sci. 15(1): 151603 (2021) - [j144]Jingke Xu, Yidan Zhao, Ge Yu:
An evaluation and query algorithm for the influence of spatial location based on RkNN. Frontiers Comput. Sci. 15(2): 152604 (2021) - [j143]Yu Hu, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu:
An integrated pipeline model for biomedical entity alignment. Frontiers Comput. Sci. 15(3): 153321 (2021) - [j142]Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Next point-of-interest recommendation by sequential feature mining and public preference awareness. J. Intell. Fuzzy Syst. 40(3): 4075-4090 (2021) - [j141]Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Attentional Memory Network with Correlation-based Embedding for time-aware POI recommendation. Knowl. Based Syst. 214: 106747 (2021) - [j140]Longcan Wu, Daling Wang, Kaisong Song, Shi Feng, Yifei Zhang, Ge Yu:
Dual-view hypergraph neural networks for attributed graph learning. Knowl. Based Syst. 227: 107185 (2021) - [j139]Shufeng Gong, Chao Tian, Qiang Yin, Wenyuan Yu, Yanfeng Zhang, Liang Geng, Song Yu, Ge Yu, Jingren Zhou:
Automating Incremental Graph Processing with Flexible Memoization. Proc. VLDB Endow. 14(9): 1613-1625 (2021) - [j138]Jie Song, Qiang He, Feifei Chen, Ye Yuan, Ge Yu:
PoBery: Possibly-complete Big Data Queries with Probabilistic Data Placement and Scanning. Trans. Data Sci. 2(3): 23:1-23:28 (2021) - [j137]Meng-xiang Wang, Wang-Chien Lee, Tao-Yang Fu, Ge Yu:
On Representation Learning for Road Networks. ACM Trans. Intell. Syst. Technol. 12(1): 11:1-11:27 (2021) - [j136]Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu, Jeffrey Xu Yu, Zhiqiang Wei:
HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling. IEEE Trans. Knowl. Data Eng. 33(5): 1973-1987 (2021) - [j135]Shufeng Gong, Yanfeng Zhang, Ge Yu:
Accelerating Large-Scale Prioritized Graph Computations by Hotness Balanced Partition. IEEE Trans. Parallel Distributed Syst. 32(4): 746-759 (2021) - [j134]Shuo Feng, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu:
A generation probability based percolation network alignment method. World Wide Web 24(5): 1511-1531 (2021) - [j133]Shi Feng, Jia Wei, Daling Wang, Xiaocui Yang, Zhenfei Yang, Yifei Zhang, Ge Yu:
SINN: A speaker influence aware neural network model for emotion detection in conversations. World Wide Web 24(6): 2019-2048 (2021) - [c296]Shixian Jiang, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu:
Entity Alignment of Knowledge Graph by Joint Graph Attention and Translation Representation. WISA 2021: 347-358 - [c295]Hui Cai, Tiancheng Zhang, Xianghui Sun, Minghe Yu, Ge Yu:
Graph-Encoder and Multi-decoders Solution Framework with Multi-attention. WISA 2021: 668-679 - [c294]Bin Xu, Qiaoqiao Zhang, Kening Gao, Ge Yu, Zhaowu Zhang, Yidi Du:
Recognition Of Learners' Personality Traits For Software Engineering Education. ACM TUR-C 2021: 1-7 - [c293]Longcan Wu, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu:
Which Node Pair and What Status? Asking Expert for Better Network Embedding. DASFAA (1) 2021: 141-157 - [c292]Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Missing POI Check-in Identification Using Generative Adversarial Networks. DASFAA (1) 2021: 575-590 - [c291]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. ICDE 2021: 1619-1630 - [i8]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. CoRR abs/2104.04406 (2021) - [i7]Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu:
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm. CoRR abs/2107.09993 (2021) - 2020
- [j132]Xiaohua Li, Bin Wang, Tao Qiu, Ge Yu, Ning Wang:
Constructing Effective Caches of Shortest Path Queries on Road Networks. IEEE Access 8: 193777-193789 (2020) - [j131]Olivier Habimana, Yuhua Li, Ruixuan Li, Xiwu Gu, Ge Yu:
Sentiment analysis using deep learning approaches: an overview. Sci. China Inf. Sci. 63(1): 111102 (2020) - [j130]Qian Ma, Wang-Chien Lee, Tao-Yang Fu, Yu Gu, Ge Yu:
MIDIA: exploring denoising autoencoders for missing data imputation. Data Min. Knowl. Discov. 34(6): 1859-1897 (2020) - [j129]Shumin Han, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu:
Efficient private multi-party numerical records matching. Frontiers Comput. Sci. 14(5): 145611 (2020) - [j128]Xun Wei, Xiaowang Kong, Yanfeng Zhang, Ge Yu:
PowerHash: a hybrid grouping scheme by leveraging power-law properties of data. Int. J. Data Sci. Anal. 9(3): 273-284 (2020) - [j127]Yue Kou, Derong Shen, Dong Li, Tiezheng Nie, Ge Yu:
Finding Communities by Decomposing and Embedding Heterogeneous Information Network. J. Comput. Sci. Technol. 35(2): 320-337 (2020) - [j126]Mingdong Zhu, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Erratum to: A Framework for Supporting Tree-Like Indexes on the Chord Overlay. J. Comput. Sci. Technol. 35(2): 490 (2020) - [j125]Shumin Han, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu:
A private entity matching approach for multiple databases. J. Intell. Fuzzy Syst. 38(4): 4403-4414 (2020) - [j124]Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu, Hongbo Liu, Xindong Wu:
REMIAN: Real-Time and Error-Tolerant Missing Value Imputation. ACM Trans. Knowl. Discov. Data 14(6): 77:1-77:38 (2020) - [j123]Jie Song, HongYan He, Richard Thomas, Yubin Bao, Ge Yu:
Haery: A Hadoop Based Query System on Accumulative and High-Dimensional Data Model for Big Data. IEEE Trans. Knowl. Data Eng. 32(7): 1362-1377 (2020) - [j122]Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang:
Efficient processing of moving collective spatial keyword queries. VLDB J. 29(4): 841-865 (2020) - [c290]Bin Xu, Sheng Yan, Kening Gao, Yu Zhang, Ge Yu:
Influence of Periodic Role Switching Intervals on Pair Programming Effectiveness. WISA 2020: 3-14 - [c289]Yubin Bao, Yuanming An, Zhu Cheng, Rimeng Jiao, Chao Zhu, Fangling Leng, Shuai Wang, Ping Wu, Ge Yu:
Named Entity Recognition in Aircraft Design Field Based on Deep Learning. WISA 2020: 333-340 - [c288]Guangxuan Zhao, Ying Zhu, Shi Feng, Daling Wang, Yifei Zhang, Ge Yu:
Role-Aware Enhanced Matching Network for Multi-turn Response Selection in Customer Service Chatbots. ADMA 2020: 654-668 - [c287]Jing Chen, Yu Gu, Qiange Wang, Chuanwen Li, Ge Yu:
Partition-Oriented Subgraph Matching on GPU. APWeb/WAIM (1) 2020: 53-68 - [c286]Zhuo Ren, Yu Gu, Chuanwen Li, Fangfang Li, Ge Yu:
GHSH: Dynamic Hyperspace Hashing on GPU. APWeb/WAIM (2) 2020: 409-424 - [c285]Minghe Yu, Yun Zhang, Tiancheng Zhang, Ge Yu:
Semantic Enhanced Top-k Similarity Search on Heterogeneous Information Networks. DASFAA (3) 2020: 104-119 - [c284]Yuxuan Su, Yanfeng Zhang, Changyi Wan, Ge Yu:
GDPC: A GPU-Accelerated Density Peaks Clustering Algorithm. DASFAA (1) 2020: 305-313 - [c283]Zhenzhen Shao, Na Guo, Yu Gu, Zhigang Wang, Fangfang Li, Ge Yu:
Efficient Closeness Centrality Computation for Dynamic Graphs. DASFAA (2) 2020: 534-550 - [c282]Pengcheng Lv, Shi Feng, Daling Wang, Yifei Zhang, Ge Yu:
PersonaGAN: Personalized Response Generation via Generative Adversarial Networks. DASFAA (1) 2020: 570-586 - [c281]Yue Kou, Derong Shen, Quinn Snell, Dong Li, Tiezheng Nie, Ge Yu, Shuai Ma:
Efficient Team Formation in Social Networks based on Constrained Pattern Graph. ICDE 2020: 889-900 - [c280]Shufeng Gong, Yanfeng Zhang, Ge Yu:
HBP: Hotness Balanced Partition for Prioritized Iterative Graph Computations. ICDE 2020: 1942-1945 - [c279]Qiange Wang, Yanfeng Zhang, Hao Wang, Liang Geng, Rubao Lee, Xiaodong Zhang, Ge Yu:
Automating Incremental and Asynchronous Evaluation for Recursive Aggregate Data Processing. SIGMOD Conference 2020: 2439-2454 - [i6]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. CoRR abs/2006.00227 (2020)
2010 – 2019
- 2019
- [j121]Ning Wang, Zhigang Wang, Yu Gu, Jia Xu, Zhiqiang Wei, Ge Yu:
Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data. IEEE Access 7: 177342-177353 (2019) - [j120]Ning Wang, Yu Gu, Jia Xu, Fangfang Li, Ge Yu:
Differentially private high-dimensional data publication via grouping and truncating techniques. Frontiers Comput. Sci. 13(2): 382-395 (2019) - [j119]Ning Wang, Zhigang Wang, Yu Gu, Yubin Bao, Ge Yu:
TSH: Easy-to-be distributed partitioning for large-scale graphs. Future Gener. Comput. Syst. 101: 804-818 (2019) - [j118]Yu Hu, Tiezheng Nie, Derong Shen, Ge Yu:
A deep aggregated model for protein secondary structure prediction. Int. J. Data Min. Bioinform. 22(3): 231-249 (2019) - [j117]Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu:
Moving kNN query processing in metric space based on influential sets. Inf. Syst. 83: 126-144 (2019) - [j116]Tiantian Li, Tianyu Zhang, Ge Yu, Yichuan Zhang, Jie Song:
TA-MCF: Thermal-Aware Fluid Scheduling for Mixed-Criticality System. J. Circuits Syst. Comput. 28(2): 1950029:1-1950029:19 (2019) - [j115]Hongfei Xu, Yu Gu, Jianzhong Qi, Jiayuan He, Ge Yu:
Diversifying Top-k Routes with Spatial Constraints. J. Comput. Sci. Technol. 34(4): 818-838 (2019) - [j114]Tiantian Li, Tianyu Zhang, Ge Yu, Jie Song, Jing Fan:
Minimizing temperature and energy of real-time applications with precedence constraints on heterogeneous MPSoC systems. J. Syst. Archit. 98: 79-91 (2019) - [j113]Jili Fan, Xiaohua Li, Tiezheng Nie, Ge Yu:
区块链系统中智能合约技术综述 (Survey on Smart Contract Based on Blockchain System). 计算机科学 46(11): 1-10 (2019) - [j112]Jie Song, Zhongyi Ma, Richard Thomas, Ge Yu:
Energy efficiency optimization in big data processing platform by improving resources utilization. Sustain. Comput. Informatics Syst. 21: 80-89 (2019) - [j111]Qian Ma, Yu Gu, Wang-Chien Lee, Ge Yu:
Order-Sensitive Imputation for Clustered Missing Values. IEEE Trans. Knowl. Data Eng. 31(1): 166-180 (2019) - [j110]Tiantian Li, Tianyu Zhang, Ge Yu, Jie Song:
Temperature Minimization and Thermal-Driven Scheduling for Real-Time Periodic Tasks. J. Signal Process. Syst. 91(6): 685-700 (2019) - [j109]Shi Feng, Yang Wang, Liran Liu, Daling Wang, Ge Yu:
Attention based hierarchical LSTM network for context-aware microblog sentiment classification. World Wide Web 22(1): 59-81 (2019) - [c278]Cheng Li, Hua Shao, Tiancheng Zhang, Ge Yu:
Analysis of Macro Factors of Welfare Lottery Marketing Based on Big Data. WISA 2019: 189-198 - [c277]Yu Zhang, Feng Li, Kening Gao, Ge Yu:
A Method of Link Prediction Using Meta Path and Attribute Information. WISA 2019: 449-454 - [c276]Yun Zhang, Xiaohua Li, Jili Fan, Tiezheng Nie, Ge Yu:
A Blockchain Based Secure E-Commerce Transaction System. WISA 2019: 560-566 - [c275]Kaiqiang Yu, Yu Gu, Shuo Yao, Zhen Song, Ge Yu:
Iterative Hypergraph Computation Based on Hyperedge-Connected Graphs. APWeb/WAIM (1) 2019: 273-280 - [c274]Zhibin Zhao, Lan Yao, Siyuan Wang, Ge Yu:
PowerMonitor: Aspect Mining and Sentiment Analysis on Online Reviews. APWeb/WAIM (2) 2019: 295-309 - [c273]Ying Yang, Yu Gu, Chuanwen Li, Changyi Wan, Ge Yu:
GPU-Accelerated Dynamic Graph Coloring. DASFAA (3) 2019: 296-299 - [c272]Longcan Wu, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu:
MDAL: Multi-task Dual Attention LSTM Model for Semi-supervised Network Embedding. DASFAA (1) 2019: 468-483 - [c271]