Yang Zhou

According to our database, Yang Zhou authored at least 97 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Efficient Enumeration of Large Maximal k-Plexes.

Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment.

Huan Rong, Xin Yu, Tinghuai Ma, Victor S. Sheng, Yang Zhou, Mznah Al-Rodhaan

ACM Trans. Knowl. Discov. Data, April, 2024

Analyzing the blockchain mining strategy in Industrial Internet of Things: A game theoretical approach.

Zhuo Chen, Zhe Liu, Yang Zhou

Future Gener. Comput. Syst., 2024

Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data.

Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou

CoRR, 2024

A Survey of Lottery Ticket Hypothesis.

Bohan Liu, Zijie Zhang, Peixiong He, Zhensen Wang, Yang Xiao, Ruimeng Ye, Yang Zhou, Wei-Shinn Ku, Bo Hui

CoRR, 2024

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.

Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery.

Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Effective Federated Graph Matching.

Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku

Proceedings of the Forty-first International Conference on Machine Learning, 2024

G²-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs.

Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Faster Depth-First Subgraph Matching on GPUs.

Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph.

Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.

Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Certified Robustness of Explanation via Gradient Quantization.

Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph.

Jalal Khalil, Akhlaque Ahmad, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery.

Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update.

Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Job Intelligent Scheduling With Cross-Device Federated Learning.

Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

IEEE Trans. Parallel Distributed Syst., February, 2023

Adversarial Attacks on Code Models with Discriminative Graph Patterns.

Thanh-Dat Nguyen, Yang Zhou, Xuan-Bach Dinh Le, Patanamon Thongtanunam, David Lo

CoRR, 2023

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking.

Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang

CoRR, 2023

A hierarchical federated learning model with adaptive model parameter aggregation.

Zhuo Chen, Chuan Zhou, Yang Zhou

Comput. Sci. Inf. Syst., 2023

International Workshop on Federated Learning for Distributed Data Mining.

Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fast Federated Machine Unlearning with Nonlinear Functional Theory.

Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan

Proceedings of the International Conference on Machine Learning, 2023

Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing.

Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan

Proceedings of the International Conference on Machine Learning, 2023

A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract.

Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Channel Aggregation Based Dynamic Pruning Method in Federated Learning.

Zhuo Chen, Xiaoxiang Tan, Zhiyuan Zhou, Yang Zhou

Proceedings of the IEEE Global Communications Conference, 2023

Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation.

Sixing Wu, Jiong Yu, Tianshi Che, Yang Zhou, Wei Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.

Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns.

Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou

VLDB J., 2022

A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario.

Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan

IEEE Trans. Knowl. Data Eng., 2022

Unsupervised Adversarial Network Alignment with Reinforcement Learning.

Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou

ACM Trans. Knowl. Discov. Data, 2022

Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training.

Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou

ACM Trans. Intell. Syst. Technol., 2022

From distributed machine learning to federated learning: a survey.

Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou

Knowl. Inf. Syst., 2022

Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization.

Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery.

Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server.

Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing.

Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu

Proceedings of the International Conference on Machine Learning, 2022

Accelerated Federated Learning with Decoupled Adaptive Optimization.

Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou

Proceedings of the International Conference on Machine Learning, 2022

Center-Based iPSC Colony Counting with Multi-Task Learning.

Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou

Proceedings of the IEEE International Conference on Data Mining, 2022

Federated Fingerprint Learning with Heterogeneous Architectures.

Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou

Proceedings of the IEEE International Conference on Data Mining, 2022

Maximal Directed Quasi -Clique Mining.

Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Device Scheduling with Multi-Job Federated Learning.

Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Toward the Impact of Non-pharmaceutical Interventions and Vaccination on the COVID-19 Pandemic With Time-Dependent SEIR Model.

Yuexin Li, Linqiang Ge, Yang Zhou, Xuan Cao, Jingyi Zheng

Frontiers Artif. Intell., 2021

Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation.

Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou

CoRR, 2021

Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination.

Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin

Proceedings of the WWW '21: The Web Conference 2021, 2021

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.

Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards a Better Understanding of Linear Models for Recommendation.

Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach.

Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou

Proceedings of the International Joint Conference on Neural Networks, 2021

Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network.

Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.

Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan

Proceedings of the 38th International Conference on Machine Learning, 2021

Integrated Defense for Resilient Graph Matching.

Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou

Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial Attack against Cross-lingual Knowledge Graph Alignment.

Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge.

Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks.

Yang Zhou, Ling Liu, Kisung Lee, Balaji Palanisamy, Qi Zhang

ACM Trans. Internet Techn., 2020

GraphMap: scalable iterative graph processing using NoSQL.

Sayan Goswami, Ayam Pokhrel, Kisung Lee, Ling Liu, Qi Zhang, Yang Zhou

J. Supercomput., 2020

Parallel Mining of Frequent Subtree Patterns.

Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou

Proceedings of the Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, 2020

Adversarial Attacks on Deep Graph Matching.

Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact.

Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning.

Sujata Sinha, Thomas S. Denney, Yang Zhou, Jingyi Zheng

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Robust Meta Network Embedding against Adversarial Attacks.

Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference.

Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

BELT: A Pipeline for Stock Price Prediction Using News.

Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness.

Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Lightweight Indexing and Querying Services for Big Spatial Data.

Kisung Lee, Ling Liu, Raghu K. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, Qingyang Wang

IEEE Trans. Serv. Comput., 2019

Dual Adversarial Learning Based Network Alignment.

Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Enhancing Collaborative Filtering with Multi-label Classification.

Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee, Balaji Palanisamy

Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Approximate Deep Network Embedding for Mining Large-Scale Graphs.

Yang Zhou, Ling Liu

Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets.

Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification.

Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Innovative mining, processing, and application of big graphs.

Yang Zhou

PhD thesis, 2018

Privacy-Preserving Publishing of Multilevel Utility-Controlled Graph Datasets.

Balaji Palanisamy, Ling Liu, Yang Zhou, Qingyang Wang

ACM Trans. Internet Techn., 2018

Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification.

Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang

Proceedings of the IEEE International Conference on Data Mining, 2018

Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering.

Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, Pengwei Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

CSM: A Cloud Service Marketplace for Complex Service Acquisition.

Yexi Jiang, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Yang Zhou, Tao Li

ACM Trans. Intell. Syst. Technol., 2016

Analyzing Enterprise Storage Workloads With Graph Modeling and Clustering.

Yang Zhou, Ling Liu, Sangeetha Seshadri, Lawrence Chiu

IEEE J. Sel. Areas Commun., 2016

2015

Reliable and Resilient Trust Management in Distributed Service Provision Networks.

Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou

ACM Trans. Web, 2015

Social Influence Based Clustering and Optimization over Heterogeneous Information Networks.

Yang Zhou, Ling Liu

ACM Trans. Knowl. Discov. Data, 2015

GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations.

Yang Zhou, Ling Liu, Kisung Lee, Qi Zhang

Proc. VLDB Endow., 2015

Scaling iterative graph computations with GraphMap.

Kisung Lee, Ling Liu, Karsten Schwan, Calton Pu, Qi Zhang, Yang Zhou, Emre Yigitoglu, Pingpeng Yuan

Proceedings of the International Conference for High Performance Computing, 2015

Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis.

Yang Zhou, Ling Liu, David Buttler

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Clustering Service Networks with Entity, Attribute, and Link Heterogeneity.

Yang Zhou, Ling Liu, Calton Pu, Xianqiang Bao, Kisung Lee, Balaji Palanisamy, Emre Yigitoglu, Qi Zhang

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions.

Yang Zhou, Ling Liu, Kisung Lee, Calton Pu, Qi Zhang

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

Policy-Driven Configuration Management for NoSQL.

Xianqiang Bao, Ling Liu, Nong Xiao, Yang Zhou, Qi Zhang

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

Anonymizing continuous queries with delay-tolerant mix-zones over road networks.

Balaji Palanisamy, Ling Liu, Kisung Lee, Shicong Meng, Yuzhe Richard Tang, Yang Zhou

Distributed Parallel Databases, 2014

Activity-edge centric multi-label classification for mining heterogeneous information networks.

Yang Zhou, Ling Liu

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

GraphLens: Mining Enterprise Storage Workloads Using Graph Analytics.

Yang Zhou, Sangeetha Seshadri, Lawrence Chiu, Ling Liu

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Improving Hadoop Service Provisioning in a Geographically Distributed Cloud.

Qi Zhang, Ling Liu, Kisung Lee, Yang Zhou, Aameek Singh, NagaPramod Mandagere, Sandeep Gopisetty, Gabriel Alatorre

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

Social influence based clustering of heterogeneous information networks.

Yang Zhou, Ling Liu

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Ranking Services by Service Network Structure and Service Attributes.

Yang Zhou, Ling Liu, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Zhiyuan Su

Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

ServiceTrust: Trust Management in Service Provision Networks.

Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou

Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis.

Qi Zhang, Ling Liu, Yi Ren, Kisung Lee, Yuzhe Richard Tang, Xu Zhao, Yang Zhou

Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud.

Kisung Lee, Ling Liu, Yuzhe Richard Tang, Qi Zhang, Yang Zhou

Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012

Clustering large attributed information networks: an efficient incremental computing approach.

Hong Cheng, Yang Zhou, Xin Huang, Jeffrey Xu Yu

Data Min. Knowl. Discov., 2012

2011

Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities.

Hong Cheng, Yang Zhou, Jeffrey Xu Yu

ACM Trans. Knowl. Discov. Data, 2011

2010

Clustering Large Attributed Graphs: An Efficient Incremental Approach.

Yang Zhou, Hong Cheng, Jeffrey Xu Yu

Proceedings of the ICDM 2010, 2010

2009

Graph Clustering Based on Structural/Attribute Similarities.

Yang Zhou, Hong Cheng, Jeffrey Xu Yu

Proc. VLDB Endow., 2009

Identifying bug signatures using discriminative graph mining.

Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan

Proceedings of the Eighteenth International Symposium on Software Testing and Analysis, 2009

2005

An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms.

Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen, Yan-Rong Kang

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005