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Yang Zhou 0001
Person information
- affiliation: Auburn University, Auburn, AL, USA
- affiliation (former): Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
- affiliation (former): The Chinese University of Hong Kong, SAR, China
- affiliation (former): Chongqing University, China
Other persons with the same name
- Yang Zhou — disambiguation page
- Yang Zhou 0002 — Air Force Engineering University, Information and Navigation College, Xi'an, China
- Yang Zhou 0003 — Chinese Academy of Sciences, Institute of Psychology, Beijing, China
- Yang Zhou 0004 — University of British Columbia, Department of Electrical and Computer Engineering, Vancouver, BC, Canada
- Yang Zhou 0005 — Beijing University of Posts and Telecommunications, School of Cyberspace Security, China
- Yang Zhou 0006 — Nanjing University of Science and Technology, School of Automation, China
- Yang Zhou 0007 — Shenzhen University, China (and 1 more)
- Yang Zhou 0008 — Harvard University, Cambridge, MA, USA (and 1 more)
- Yang Zhou 0009 — University of Massachusetts Amherst, MA, USA
- Yang Zhou 0010 — Nankai University, School of Mathematical Sciences and LPMC, Tianjin, China
- Yang Zhou 0011 — Zhejiang University of Science and Technology, School of Information and Electronic Engineering, Hangzhou, China (and 1 more)
- Yang Zhou 0012 — Air Force Engineering University, Aeronautics Engineering College, Xi'an, China
- Yang Zhou 0013 — Chengdu University of Information Technology, College of communication Engineering, China (and 1 more)
- Yang Zhou 0014 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Yang Zhou 0015 — Anhui University, School of Electrical Engineering and Automation, Hefei, China
- Yang Zhou 0016 — Michigan State University, East Lansing, MI, USA (and 1 more)
- Yang Zhou 0017 — Hong Kong Baptist University, Department of Computer Science, Hong Kong
- Yang Zhou 0018 — Shandong Normal University, School of Mathematics and Statistics, Jinan, China
- Yang Zhou 0019 — University of Wisconsin-Madison, Department of Civil and Environmental Engineering, WI, USA
- Yang Zhou 0020 — Zhengzhou Institute of Surveying and Mapping, China
- Yang Zhou 0021 — Northeast Electric Power University, MoE Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Jilin, China
- Yang Zhou 0022 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
- Yang Zhou 0023 — Loughborough University, Department of Computer Science, UK
- Yang Zhou 0024 — Nanjing University of Information Science and Technology, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, China
- Yang Zhou 0025 — KTH Royal Institute of Technology, Stockholm, Sweden
- Yang Zhou 0026 — Peking University Third Hospital, Department of Anesthesiology, Beijing, China
- Yang Zhou 0027 — TU Dortmund, Institute of Energy Systems, Energy Efficiency and Energy Economics, Germany (and 1 more)
- Yang Zhou 0028 — Universite de Technologie de Belfort-Montbeliard, Belfort, France
- Yang Zhou 0029 — New York University, Tandon School of Engineering, Brooklyn, NY, USA
- Yang Zhou 0030 — South Central University for Nationalities, Department of Electrical and Information Engineering, Wuhan, China
- Yang Zhou 0031 — Jilin Agricultural University, College of Information and Technology, Changchun, China (and 1 more)
- Yang Zhou 0032 — Ministry of water resources of China, Beijing, China
- Yang Zhou 0033 — Yahoo Labs!, Santa Clara, CA, USA (and 1 more)
- Yang Zhou 0034 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 2 more)
- Yang Zhou 0035 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
- Yang Zhou 0036 — Beihang University, China
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2020 – today
- 2025
- [c64]Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou:
Efficient Enumeration of Large Maximal k-Plexes. EDBT 2025: 53-65 - 2024
- [j23]Zhuo Chen, Zhe Liu, Yang Zhou:
Analyzing the blockchain mining strategy in Industrial Internet of Things: A game theoretical approach. Future Gener. Comput. Syst. 159: 51-63 (2024) - [j22]Huan Rong, Xin Yu, Tinghuai Ma, Victor S. Sheng, Yang Zhou, Mznah Al-Rodhaan:
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment. ACM Trans. Knowl. Discov. Data 18(3): 68:1-68:43 (2024) - [c63]Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. AAAI 2024: 13900-13908 - [c62]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI 2024: 22457-22465 - [c61]Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang:
Faster Depth-First Subgraph Matching on GPUs. ICDE 2024: 3151-3163 - [c60]Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou:
G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs. ICDE 2024: 3164-3177 - [c59]Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou:
FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. ICDE 2024: 5405-5408 - [c58]Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku:
Effective Federated Graph Matching. ICML 2024 - [c57]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM 2024: 833-841 - [i16]Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou:
Efficient Enumeration of Large Maximal k-Plexes. CoRR abs/2402.13008 (2024) - [i15]Bohan Liu, Zijie Zhang, Peixiong He, Zhensen Wang, Yang Xiao, Ruimeng Ye, Yang Zhou, Wei-Shinn Ku, Bo Hui:
A Survey of Lottery Ticket Hypothesis. CoRR abs/2403.04861 (2024) - [i14]Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou:
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. CoRR abs/2404.17917 (2024) - 2023
- [j21]Zhuo Chen, Chuan Zhou, Yang Zhou:
A hierarchical federated learning model with adaptive model parameter aggregation. Comput. Sci. Inf. Syst. 20(3): 1037-1060 (2023) - [j20]Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(2): 535-551 (2023) - [c56]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP 2023: 7871-7888 - [c55]Sixing Wu, Jiong Yu, Tianshi Che, Yang Zhou, Wei Zhou:
Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation. EMNLP (Findings) 2023: 14804-14814 - [c54]Zhuo Chen, Xiaoxiang Tan, Zhiyuan Zhou, Yang Zhou:
A Channel Aggregation Based Dynamic Pruning Method in Federated Learning. GLOBECOM 2023: 601-606 - [c53]Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. ICDE 2023: 3847-3848 - [c52]Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan:
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML 2023: 4241-4268 - [c51]Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan:
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. ICML 2023: 28976-29008 - [c50]Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou:
International Workshop on Federated Learning for Distributed Data Mining. KDD 2023: 5861-5862 - [i13]Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang:
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking. CoRR abs/2302.08018 (2023) - [i12]Thanh-Dat Nguyen, Yang Zhou, Xuan-Bach Dinh Le, Patanamon Thongtanunam, David Lo:
Adversarial Attacks on Code Models with Discriminative Graph Patterns. CoRR abs/2308.11161 (2023) - [i11]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR abs/2310.15080 (2023) - [i10]Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update. CoRR abs/2312.05770 (2023) - [i9]Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez:
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR abs/2312.10935 (2023) - 2022
- [j19]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. 64(4): 885-917 (2022) - [j18]Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou:
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training. ACM Trans. Intell. Syst. Technol. 13(2): 26:1-26:22 (2022) - [j17]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16(3): 50:1-50:29 (2022) - [j16]Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario. IEEE Trans. Knowl. Data Eng. 34(3): 1021-1037 (2022) - [j15]Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou:
PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. VLDB J. 31(2): 253-286 (2022) - [c49]Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. AAAI 2022: 9971-9979 - [c48]Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou:
Maximal Directed Quasi -Clique Mining. ICDE 2022: 1900-1913 - [c47]Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM 2022: 31-40 - [c46]Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou:
Center-Based iPSC Colony Counting with Multi-Task Learning. ICDM 2022: 1173-1178 - [c45]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML 2022: 10298-10322 - [c44]Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu:
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. ICML 2022: 10340-10361 - [c43]Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. IJCAI 2022: 2776-2782 - [c42]Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD 2022: 554-564 - [c41]Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu:
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. NeurIPS 2022 - [i8]Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR abs/2204.11536 (2022) - [i7]Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu:
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. CoRR abs/2206.11423 (2022) - [i6]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR abs/2207.07223 (2022) - [i5]Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning. CoRR abs/2211.13430 (2022) - 2021
- [j14]Yuexin Li, Linqiang Ge, Yang Zhou, Xuan Cao, Jingyi Zheng:
Toward the Impact of Non-pharmaceutical Interventions and Vaccination on the COVID-19 Pandemic With Time-Dependent SEIR Model. Frontiers Artif. Intell. 4: 648579 (2021) - [c40]Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu:
More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge. EMNLP (1) 2021: 2286-2300 - [c39]Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan:
Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) 2021: 5320-5337 - [c38]Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou:
Integrated Defense for Resilient Graph Matching. ICML 2021: 8982-8997 - [c37]Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan:
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML 2021: 12719-12735 - [c36]Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu:
Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. IJCAI 2021: 3964-3970 - [c35]Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou:
Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. IJCNN 2021: 1-8 - [c34]Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou:
Towards a Better Understanding of Linear Models for Recommendation. KDD 2021: 776-785 - [c33]Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou:
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS 2021: 30196-30210 - [c32]Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin:
Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. WWW 2021: 3884-3895 - [i4]Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou:
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation. CoRR abs/2104.07837 (2021) - [i3]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From Distributed Machine Learning to Federated Learning: A Survey. CoRR abs/2104.14362 (2021) - [i2]Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou:
Towards a Better Understanding of Linear Models for Recommendation. CoRR abs/2105.12937 (2021) - [i1]Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. CoRR abs/2112.05928 (2021) - 2020
- [j13]Sayan Goswami, Ayam Pokhrel, Kisung Lee, Ling Liu, Qi Zhang, Yang Zhou:
GraphMap: scalable iterative graph processing using NoSQL. J. Supercomput. 76(9): 6619-6647 (2020) - [j12]Yang Zhou, Ling Liu, Kisung Lee, Balaji Palanisamy, Qi Zhang:
Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks. ACM Trans. Internet Techn. 20(4): 36:1-36:29 (2020) - [c31]Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu:
Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness. ACL 2020: 5811-5820 - [c30]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan:
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData 2020: 868-877 - [c29]Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou:
BELT: A Pipeline for Stock Price Prediction Using News. IEEE BigData 2020: 1137-1146 - [c28]Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee:
Robust Meta Network Embedding against Adversarial Attacks. ICDM 2020: 1448-1453 - [c27]Sujata Sinha, Thomas S. Denney, Yang Zhou, Jingyi Zheng:
Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning. ICMLA 2020: 1362-1368 - [c26]Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu:
TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact. IJCAI 2020: 3766-3772 - [c25]Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou:
Adversarial Attacks on Deep Graph Matching. NeurIPS 2020 - [c24]Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou:
Parallel Mining of Frequent Subtree Patterns. SFDI/LSGDA@VLDB 2020: 18-32
2010 – 2019
- 2019
- [j11]Kisung Lee, Ling Liu, Raghu K. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, Qingyang Wang:
Lightweight Indexing and Querying Services for Big Spatial Data. IEEE Trans. Serv. Comput. 12(3): 343-355 (2019) - [c23]Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. IEEE BigData 2019: 1018-1027 - [c22]Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang:
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. IEEE BigData 2019: 1267-1273 - [c21]Yang Zhou, Ling Liu:
Approximate Deep Network Embedding for Mining Large-Scale Graphs. CogMI 2019: 53-60 - [c20]Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee, Balaji Palanisamy:
Enhancing Collaborative Filtering with Multi-label Classification. CSoNet 2019: 323-338 - [c19]Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang:
Dual Adversarial Learning Based Network Alignment. ICDM 2019: 1288-1293 - 2018
- [b1]Yang Zhou:
Innovative mining, processing, and application of big graphs. Georgia Institute of Technology, Atlanta, GA, USA, 2018 - [j10]Balaji Palanisamy, Ling Liu, Yang Zhou, Qingyang Wang:
Privacy-Preserving Publishing of Multilevel Utility-Controlled Graph Datasets. ACM Trans. Internet Techn. 18(2): 24:1-24:21 (2018) - [c18]Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering. IEEE BigData 2018: 1162-1167 - [c17]Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang:
Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. ICDM 2018: 1464-1469 - 2016
- [j9]Yang Zhou, Ling Liu, Sangeetha Seshadri, Lawrence Chiu:
Analyzing Enterprise Storage Workloads With Graph Modeling and Clustering. IEEE J. Sel. Areas Commun. 34(3): 551-574 (2016) - [j8]Yexi Jiang, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Yang Zhou, Tao Li:
CSM: A Cloud Service Marketplace for Complex Service Acquisition. ACM Trans. Intell. Syst. Technol. 8(1): 8:1-8:25 (2016) - 2015
- [j7]Yang Zhou, Ling Liu, Kisung Lee, Qi Zhang:
GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations. Proc. VLDB Endow. 8(11): 1262-1273 (2015) - [j6]Yang Zhou, Ling Liu:
Social Influence Based Clustering and Optimization over Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 10(1): 2:1-2:53 (2015) - [j5]Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou:
Reliable and Resilient Trust Management in Distributed Service Provision Networks. ACM Trans. Web 9(3): 14:1-14:37 (2015) - [c16]Xianqiang Bao, Ling Liu, Nong Xiao, Yang Zhou, Qi Zhang:
Policy-Driven Configuration Management for NoSQL. CLOUD 2015: 245-252 - [c15]Yang Zhou, Ling Liu, Kisung Lee, Calton Pu, Qi Zhang:
Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions. HPDC 2015: 179-190 - [c14]Yang Zhou, Ling Liu, Calton Pu, Xianqiang Bao, Kisung Lee, Balaji Palanisamy, Emre Yigitoglu, Qi Zhang:
Clustering Service Networks with Entity, Attribute, and Link Heterogeneity. ICWS 2015: 257-264 - [c13]Yang Zhou, Ling Liu, David Buttler:
Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis. KDD 2015: 1563-1572 - [c12]Kisung Lee, Ling Liu, Karsten Schwan, Calton Pu, Qi Zhang, Yang Zhou, Emre Yigitoglu, Pingpeng Yuan:
Scaling iterative graph computations with GraphMap. SC 2015: 57:1-57:12 - 2014
- [j4]Balaji Palanisamy, Ling Liu, Kisung Lee, Shicong Meng, Yuzhe Richard Tang, Yang Zhou:
Anonymizing continuous queries with delay-tolerant mix-zones over road networks. Distributed Parallel Databases 32(1): 91-118 (2014) - [c11]Qi Zhang, Ling Liu, Kisung Lee, Yang Zhou, Aameek Singh, NagaPramod Mandagere, Sandeep Gopisetty, Gabriel Alatorre:
Improving Hadoop Service Provisioning in a Geographically Distributed Cloud. IEEE CLOUD 2014: 432-439 - [c10]Yang Zhou, Sangeetha Seshadri, Lawrence Chiu, Ling Liu:
GraphLens: Mining Enterprise Storage Workloads Using Graph Analytics. BigData Congress 2014: 1-8 - [c9]Yang Zhou, Ling Liu:
Activity-edge centric multi-label classification for mining heterogeneous information networks. KDD 2014: 1276-1285 - 2013
- [c8]Qi Zhang, Ling Liu, Yi Ren, Kisung Lee, Yuzhe Richard Tang, Xu Zhao, Yang Zhou:
Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis. IEEE CLOUD 2013: 204-211 - [c7]Kisung Lee, Ling Liu, Yuzhe Richard Tang, Qi Zhang, Yang Zhou:
Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud. IEEE CLOUD 2013: 327-334 - [c6]Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou:
ServiceTrust: Trust Management in Service Provision Networks. IEEE SCC 2013: 272-279 - [c5]Yang Zhou, Ling Liu, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Zhiyuan Su:
Ranking Services by Service Network Structure and Service Attributes. ICWS 2013: 26-33 - [c4]Yang Zhou, Ling Liu:
Social influence based clustering of heterogeneous information networks. KDD 2013: 338-346 - 2012
- [j3]Hong Cheng, Yang Zhou, Xin Huang, Jeffrey Xu Yu:
Clustering large attributed information networks: an efficient incremental computing approach. Data Min. Knowl. Discov. 25(3): 450-477 (2012) - 2011
- [j2]Hong Cheng, Yang Zhou, Jeffrey Xu Yu:
Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities. ACM Trans. Knowl. Discov. Data 5(2): 12:1-12:33 (2011) - 2010
- [c3]Yang Zhou, Hong Cheng, Jeffrey Xu Yu:
Clustering Large Attributed Graphs: An Efficient Incremental Approach. ICDM 2010: 689-698
2000 – 2009
- 2009
- [j1]Yang Zhou, Hong Cheng, Jeffrey Xu Yu:
Graph Clustering Based on Structural/Attribute Similarities. Proc. VLDB Endow. 2(1): 718-729 (2009) - [c2]Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan:
Identifying bug signatures using discriminative graph mining. ISSTA 2009: 141-152 - 2005
- [c1]Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen, Yan-Rong Kang:
An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms. ADMA 2005: 96-107