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ORCIDYong Liu 0029
Person information
- affiliation: Heilongjiang University, China
Other persons with the same name
- Yong Liu — disambiguation page
- Yong Liu 0001
![[0000-0003-3156-7002]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3156-7002")
— Outreach Corporation, Seattle, WA, USA (and 3 more) - Yong Liu 0002 — Chinese Academy of Sciences, Institute of Automation, Brainnetome Center, Beijing, China
- Yong Liu 0003 — Peking University, College of Environmental Science and Engineering, Beijing, China
- Yong Liu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yong Liu 0005 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China
- Yong Liu 0006 — University of Tennessee, Knoxville, TN, USA
- Yong Liu 0007 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 1 more)
- Yong Liu 0008 — Wenzhou Medical University, School of Ophthalmology and Optometry, China
- Yong Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Yong Liu 0010 — Aalto University School of Business, Department of Information and Service Economy, Aalto, Finland (and 3 more)
- Yong Liu 0011 — Jilin University, School of Mechanical Science and Engineering, Changchun, China
- Yong Liu 0012 — The University of Aizu, Aizu-Wakamatsu, Japan (and 4 more)
- Yong Liu 0013 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA (and 1 more)
- Yong Liu 0014 — Texas A&M University, College Station, USA
- Yong Liu 0015 — Nottingham Trent University, UK
- Yong Liu 0016 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Yong Liu 0017 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Yong Liu 0018 — Renmin University of China, China (and 2 more)
- Yong Liu 0019 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yong Liu 0020 — Huawei Noah's Ark Lab, Singapore (and 1 more)
- Yong Liu 0021 — Beijing Polytechnic, School of Telecommunication Engineering, Beijing, China
- Yong Liu 0022 — Jiangnan University, School of Business, Wuxi, China
- Yong Liu 0023 — Shanghai Jiao Tong University, China (and 3 more)
- Yong Liu 0024 — Indiana University, Department of Computer Science, Bloomington, IN, USA
- Yong Liu 0025 — Northwestern Polytechnical University, College of Automation, Xi'an, China
- Yong Liu 0026 — A*STAR, Artificial Intelligence Initiative, Singapore (and 2 more)
- Yong Liu 0027 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Yong Liu 0028 — Chongqing Jiaotong University, School of Economics and Management, Chongqing, China
- Yong Liu 0030 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Yong Liu 0031 — Xi'an Jiaotong University, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, China (and 1 more)
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2020 – today
- 2024
[c32]Xin Sun, Yan Yang, Yong Liu:
External Knowledge Enhancing Meta-learning Framework for Few-Shot Text Classification via Contrastive Learning and Adversarial Network. APWeb/WAIM (1) 2024: 46-58- [c31]Chenhao Wang, Yong Liu, Yan Yang, Wei Li:
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph. IJCAI 2024: 2397-2405 - 2023
- [j11]Qianqian Ren, Yang Li, Yong Liu:
Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting. Expert Syst. Appl. 227: 120203 (2023) - [c30]Jiachen Ma, Jing Dai, Yong Liu, Meng Han, Chunyu Ai:
Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model. CIKM 2023: 4160-4164 - [c29]En Meng, Yong Liu:
Graph Contrastive Learning with Graph Info-Min. CIKM 2023: 4195-4199 - [c28]Chenhao Wang, Yong Liu, Yan Yang:
Network Embedding with Adaptive Multi-hop Contrast. CIKM 2023: 4330-4334 - [c27]Yifu Guo, Yong Liu:
A Graph Contrastive Learning Framework with Adaptive Augmentation and Encoding for Unaligned Views. PAKDD (2) 2023: 92-104 - 2022
- [j10]Meng Liu, Ziwei Quan, Jia-Ming Wu, Yong Liu, Meng Han:
Embedding temporal networks inductively via mining neighborhood and community influences. Appl. Intell. 52(14): 16069-16088 (2022) - [c26]Meng Liu, Jiaming Wu, Yong Liu:
Embedding Global and Local Influences for Dynamic Graphs. CIKM 2022: 4249-4253 - [c25]Jiachen Ma, Yong Liu, Meng Liu, Meng Han:
Curriculum Contrastive Learning for Fake News Detection. CIKM 2022: 4309-4313 - [c24]Jijie Zhang, Yan Yang, Yong Liu, Meng Han, Shaowei Yin:
Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast. CIKM 2022: 4682-4686 - [c23]Wei Fan, Meng Liu, Yong Liu:
A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction. DASFAA (1) 2022: 604-612 - [c22]Jijie Zhang, Yan Yang, Yong Liu, Meng Han:
NE-WNA: A Novel Network Embedding Framework Without Neighborhood Aggregation. ECML/PKDD (2) 2022: 453-468 - 2021
- [c21]Jiaming Wu, Meng Liu, Jiangting Fan, Yong Liu, Meng Han:
SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks. ICANN (5) 2021: 3-15 - [c20]Haojie Chen, Jiangting Fan, Yong Liu, Xingfeng Lv:
Dy-Drl2Op: Learning Heuristics for TSP on the Dynamic Graph via Deep Reinforcement Learning. ICONIP (3) 2021: 213-223 - [c19]Jiangting Fan, Haojie Chen, Jiaming Wu, Yong Liu, Nan Wang:
ETIV: Embedding Temporal Network via Interest Vector. IJCNN 2021: 1-8 - [c18]Panyu Peng, Yong Liu, Xingfeng Lv:
MLFF: A Object Detector based on a Multi-Layer Feature Fusion. IJCNN 2021: 1-8 - [c17]Meng Liu, Yong Liu:
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. SIGIR 2021: 2202-2206 - [i1]Meng Liu, Yong Liu:
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. CoRR abs/2110.00267 (2021) - 2020
- [c16]Meng Liu, Ziwei Quan, Yong Liu:
Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. ACML 2020: 609-624 - [c15]Chuhan Zhang, Yueshuang Yin, Yong Liu:
NSTI-IC: An Independent Cascade Model Based on Neighbor Structures and Topic-Aware Interest. APWeb/WAIM (1) 2020: 170-178 - [c14]Nan Wang, Yong Liu, Peiyao Han, Xiaokun Li, Jinbao Li:
The Collaborative Influence of Multiple Interactions on Successive POI Recommendation. BigData 2020: 159-174 - [c13]Nan Wang, Yong Liu, Peiyao Han, Xiaokun Li, Jinbao Li:
A New Personalized POI Recommendation Based on Time-Aware and Social Influence. CLOUD 2020: 199-213
2010 – 2019
- 2019
- [j9]Jinghua Zhu, Chao Wang, Xu Guo, Qian Ming, Jinbao Li, Yong Liu:
Friend and POI recommendation based on social trust cluster in location-based social networks. EURASIP J. Wirel. Commun. Netw. 2019: 89 (2019) - [c12]Rubai Mao, Zhe Han, Zitu Liu, Yong Liu, Xingfeng Lv, Ping Xuan:
PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social Influences. ADMA 2019: 266-274 - [c11]Yong Liu, Zitu Liu, Shengnan Xie, Xiaokun Li:
Time Optimal Profit Maximization in a Social Network. APWeb/WAIM (1) 2019: 264-272 - [c10]Sijie Chen, Ziwei Quan, Yong Liu:
Identifying Structural Hole Spanners in Social Networks via Graph Embedding. COCOA 2019: 94-106 - [c9]Zitu Liu, Rui Wang, Yong Liu:
Prediction Model for Non-topological Event Propagation in Social Networks. ICPCSEE (1) 2019: 241-252 - [c8]Qi Guo, Jinhao Shi, Yong Liu, Xiaokun Li:
Predicting the Hot Topics with User Sentiments. ICPCSEE (1) 2019: 441-453 - [c7]Jinghua Zhu, Zhichao Li, Chenbo Yue, Yong Liu:
Trust-Aware Group Recommendation with Attention Mechanism in Social Network. MSN 2019: 271-276 - 2018
- [j8]Yingli Zhong, Ping Xuan, Xiao Wang, Tiangang Zhang, Jianzhong Li, Yong Liu, Weixiong Zhang:
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network. Bioinform. 34(2): 267-277 (2018) - [j7]Yong Liu, Wei Zhang:
Time Optimal Profit Maximization in a Social Network. Int. J. Web Appl. 10(1): 8-21 (2018) - [c6]Qianqian Ren, Jinbao Li, Yong Liu:
VDTS: A Voronoi Diagram Based Tracking Schemes in Wireless Sensor Networks. CWSN 2018: 21-32 - [c5]Nan Wang, Jiansong Da, Jinbao Li, Yong Liu:
Influence Maximization with Trust Relationship in Social Networks. MSN 2018: 61-67 - [c4]Jinghua Zhu, Qian Ming, Yong Liu:
Trust-Distrust-Aware Point-of-Interest Recommendation in Location-Based Social Network. WASA 2018: 709-719 - 2017
- [j6]Jinghua Zhu, Yong Liu, Xuming Yin:
A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks. IEEE Access 5: 23405-23412 (2017) - [c3]Yong Liu, Zhe Han, Shengshu Shi, Wei Zhang, Ping Xuan:
SA-Min: An Efficient Algorithm for Minimizing the Spread of Influence in a Social Network. CWSN 2017: 333-343 - 2014
- [j5]Liqiang Pan, Huijun Gao, Hong Gao, Yong Liu:
A Spatial Correlation Based Adaptive Missing Data Estimation Algorithm in Wireless Sensor Networks. Int. J. Wirel. Inf. Networks 21(4): 280-289 (2014) - 2011
- [j4]Longjiang Guo, Meirui Ren, Jinbao Li, Yong Liu, Chunyu Ai:
H-cluster: A Novel Efficient Algorithm for Data Clustering in Sensor Networks. J. Commun. 6(2): 168-178 (2011) - [j3]Jianzhong Li, Yong Liu, Hong Gao:
Efficient Algorithms for Summarizing Graph Patterns. IEEE Trans. Knowl. Data Eng. 23(9): 1388-1405 (2011) - 2010
- [j2]Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao:
Mining Top-K Graph Patterns that Jointly Maximize Some Significance Measure. J. Comput. 5(4): 565-572 (2010)
2000 – 2009
- 2009
- [c2]Yong Liu, Jianzhong Li, Hong Gao:
JPMiner: Mining Frequent Jump Patterns from Graph Databases. FSKD (5) 2009: 114-118 - 2008
- [c1]Yong Liu, Jianzhong Li, Hong Gao:
Summarizing Graph Patterns. ICDE 2008: 903-912 - 2007
- [j1]Yong Liu, Jianzhong Li, Jinghua Zhu, Hong Gao:
Clustering Frequent Graph Patterns. J. Digit. Inf. Manag. 5(6): 335-346 (2007)
Coauthor Index
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last updated on 2024-10-31 21:09 CET by the dblp team
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