Yang Zhou - RankMe

125 papers A* 40A 9B 7C 2Journal 49Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	T-FSM: A Scalable Distributed Task-Based System for Frequent Subgraph Pattern Mining from a Big Graph. ACM Trans. Database Syst. Lyuheng Yuan, Da Yan, Dingwen Tao, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2026	J	`jnl`	Unrewarded Exploration in Large Language Models Reveals Latent Learning from Psychology. CoRR Jian Xiong, Jingbo Zhou, Zihan Zhou, Yixiong Xiao, Le Zhang, Jingyong Ye, Rui Qian, Yang Zhou, Dejing Dou
2025	J	`jnl`	Demystify Protein Generation with Hierarchical Conditional Diffusion Models. CoRR Zinan Ling, Yi Shi, Da Yan, Yang Zhou, Bo Hui
2025	B	`conf`	Efficient Enumeration of Large Maximal k-Plexes. EDBT Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
2025	J	`jnl`	Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. CoRR Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025	J	`jnl`	Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout. ACM Trans. Knowl. Discov. Data Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025	J	`jnl`	Efficient Federated Learning with Timely Update Dissemination. CoRR Juncheng Jia, Ji Liu, Chao Huo, Yihui Shen, Yang Zhou, Huaiyu Dai, Dejing Dou
2025	J	`jnl`	Efficient federated learning with timely update dissemination. Knowl. Inf. Syst. Juncheng Jia, Ji Liu, Chao Huo, Yihui Shen, Yang Zhou, Huaiyu Dai, Dejing Dou
2025	A*	`conf`	Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning. IJCAI Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza
2025	B	`conf`	FedNSA: Federated Noise-Signature Alignment for Model-Heterogeneous UAV Vehicle Detection. IEEE Big Data Tianshi Che, Yang Zhou, Tonghui Li, Qing Chang, Da Yan, Huaguo Zhou, Zhe Jiang
2025	A*	`conf`	Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. ICML Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
2025	A	`conf`	Out-of-Core Parallel Spatial Join Outperforming In-Memory Systems: A BFS-DFS Hybrid Approach. HPDC Lyuheng Yuan, Da Yan, Akhlaque Ahmad, Jiao Han, Saugat Adhikari, Yang Zhou
2025	J	`jnl`	Reinforcement learning-enabled swarm intelligence method for computation task offloading in Internet-of-Things blockchain. Digit. Commun. Networks Zhuo Chen, Jiahuan Yi, Yang Zhou, Wei Luo
2025	—	`conf`	Scalable Terrain-Aware Flood Extent Mapping on Earth Imagery. SIGSPATIAL/GIS Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Man Sainju, Yang Zhou
2025	J	`jnl`	Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data. ACM Trans. Spatial Algorithms Syst. Saugat Adhikari, Da Yan, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Man Sainju, Yang Zhou
2025	B	`conf`	T-RDF: A Task-Based Parallel System for Efficiently Answering SPARQL Queries. IEEE Big Data Lyuheng Yuan, Da Yan, Saugat Adhikari, Jiao Han, Lei Zou, Yang Zhou
2024	J	`jnl`	A Survey of Lottery Ticket Hypothesis. CoRR Bohan Liu, Zijie Zhang, Peixiong He, Zhensen Wang, Yang Xiao, Ruimeng Ye, Yang Zhou, Wei-Shinn Ku, Bo Hui
2024	A	`conf`	AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2024	A	`conf`	Advancing Certified Robustness of Explanation via Gradient Quantization. CIKM Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui
2024	J	`jnl`	Analyzing the blockchain mining strategy in Industrial Internet of Things: A game theoretical approach. Future Gener. Comput. Syst. Zhuo Chen, Zhe Liu, Yang Zhou
2024	B	`conf`	Anarchic Federated Bilevel Optimization. WiOpt Dongsheng Li, Ye Zhu, Xiaowen Gong, Shiwen Mao, Yang Zhou
2024	A	`conf`	DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph. CIKM Jalal Khalil, Akhlaque Ahmad, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang
2024	A*	`conf`	Effective Federated Graph Matching. ICML Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku
2024	J	`jnl`	Efficient Enumeration of Large Maximal k-Plexes. CoRR Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
2024	J	`jnl`	Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. CoRR Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou
2024	J	`jnl`	Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. ACM Trans. Intell. Syst. Technol. Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou
2024	A*	`conf`	EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. IJCAI Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
2024	J	`jnl`	EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. CoRR Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
2024	A*	`conf`	FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. ICDE Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2024	A*	`conf`	Faster Depth-First Subgraph Matching on GPUs. ICDE Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang
2024	A*	`conf`	FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. AAAI Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
2024	A*	`conf`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. EMNLP Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024	J	`jnl`	Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models. CoRR Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024	A*	`conf`	G ICDE Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou
2024	A*	`conf`	Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2024	J	`jnl`	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 Huan Rong, Xin Yu, Tinghuai Ma, Victor S. Sheng, Yang Zhou, Mznah Al-Rodhaan
2023	B	`conf`	A Channel Aggregation Based Dynamic Pruning Method in Federated Learning. GLOBECOM Zhuo Chen, Xiaoxiang Tan, Zhiyuan Zhou, Yang Zhou
2023	A*	`conf`	A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. ICDE Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan
2023	J	`jnl`	A hierarchical federated learning model with adaptive model parameter aggregation. Comput. Sci. Inf. Syst. Zhuo Chen, Chuan Zhou, Yang Zhou
2023	J	`jnl`	AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2023	A*	`conf`	Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. ICML Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan
2023	—	`conf`	Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation. EMNLP (Findings) Sixing Wu, Jiong Yu, Tianshi Che, Yang Zhou, Wei Zhou
2023	A*	`conf`	Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2023	J	`jnl`	FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update. CoRR Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
2023	A*	`conf`	Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023	J	`jnl`	Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023	A*	`conf`	International Workshop on Federated Learning for Distributed Data Mining. KDD Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou
2023	J	`jnl`	Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE Trans. Parallel Distributed Syst. Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	J	`jnl`	A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario. IEEE Trans. Knowl. Data Eng. Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan
2022	A*	`conf`	Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022	J	`jnl`	Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022	A*	`conf`	Center-Based iPSC Colony Counting with Multi-Task Learning. ICDM Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou
2022	J	`jnl`	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. Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou
2022	A*	`conf`	Efficient Device Scheduling with Multi-Job Federated Learning. AAAI Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	A*	`conf`	FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. IJCAI Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	J	`jnl`	FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	A*	`conf`	Federated Fingerprint Learning with Heterogeneous Architectures. ICDM Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
2022	J	`jnl`	From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2022	A*	`conf`	Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. ICML Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu
2022	J	`jnl`	Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing. CoRR Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu
2022	A*	`conf`	Maximal Directed Quasi -Clique Mining. ICDE Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
2022	J	`jnl`	Multi-Job Intelligent Scheduling with Cross-Device Federated Learning. CoRR Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2022	J	`jnl`	PrefixFPM: a parallel framework for general-purpose mining of frequent and closed patterns. VLDB J. Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou
2022	A*	`conf`	Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization. NeurIPS Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu
2022	A*	`conf`	Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
2022	J	`jnl`	Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
2021	—	`conf`	Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan
2021	J	`jnl`	Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation. CoRR Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou
2021	J	`jnl`	Efficient Device Scheduling with Multi-Job Federated Learning. CoRR Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2021	A*	`conf`	Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan
2021	B	`conf`	Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. IJCNN Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou
2021	J	`jnl`	From Distributed Machine Learning to Federated Learning: A Survey. CoRR Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2021	A*	`conf`	Integrated Defense for Resilient Graph Matching. ICML Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou
2021	A*	`conf`	Knowledge-Aware Dialogue Generation via Hierarchical Infobox Accessing and Infobox-Dialogue Interaction Graph Network. IJCAI Sixing Wu, Minghui Wang, Dawei Zhang, Yang Zhou, Ying Li, Zhonghai Wu
2021	—	`conf`	More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge. EMNLP (1) Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu
2021	A*	`conf`	Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. WWW Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin
2021	J	`jnl`	Toward the Impact of Non-pharmaceutical Interventions and Vaccination on the COVID-19 Pandemic With Time-Dependent SEIR Model. Frontiers Artif. Intell. Yuexin Li, Linqiang Ge, Yang Zhou, Xuan Cao, Jingyi Zheng
2021	A*	`conf`	Towards a Better Understanding of Linear Models for Recommendation. KDD Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
2021	J	`jnl`	Towards a Better Understanding of Linear Models for Recommendation. CoRR Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
2021	A*	`conf`	Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou
2020	A*	`conf`	Adversarial Attacks on Deep Graph Matching. NeurIPS Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou
2020	C	`conf`	Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning. ICMLA Sujata Sinha, Thomas S. Denney, Yang Zhou, Jingyi Zheng
2020	—	`conf`	BELT: A Pipeline for Stock Price Prediction Using News. IEEE BigData Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou
2020	A*	`conf`	Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness. ACL Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
2020	J	`jnl`	GraphMap: scalable iterative graph processing using NoSQL. J. Supercomput. Sayan Goswami, Ayam Pokhrel, Kisung Lee, Ling Liu, Qi Zhang, Yang Zhou
2020	J	`jnl`	Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks. ACM Trans. Internet Techn. Yang Zhou, Ling Liu, Kisung Lee, Balaji Palanisamy, Qi Zhang
2020	—	`conf`	Parallel Mining of Frequent Subtree Patterns. SFDI/LSGDA@VLDB Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou
2020	A*	`conf`	Robust Meta Network Embedding against Adversarial Attacks. ICDM Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee
2020	A*	`conf`	TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact. IJCAI Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
2020	—	`conf`	Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan
2019	—	`conf`	Approximate Deep Network Embedding for Mining Large-Scale Graphs. CogMI Yang Zhou, Ling Liu
2019	A*	`conf`	Dual Adversarial Learning Based Network Alignment. ICDM Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang
2019	—	`conf`	Enhancing Collaborative Filtering with Multi-label Classification. CSoNet Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee, Balaji Palanisamy
2019	—	`conf`	Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification. IEEE BigData Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang
2019	J	`jnl`	Lightweight Indexing and Querying Services for Big Spatial Data. IEEE Trans. Serv. Comput. Kisung Lee, Ling Liu, Raghu K. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, Qingyang Wang
2019	—	`conf`	Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets. IEEE BigData Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang
2018	A*	`conf`	Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification. ICDM Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang
2018	—	`conf`	Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering. IEEE BigData Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, Pengwei Wang
2018	—	`—`	Innovative mining, processing, and application of big graphs. Yang Zhou
2018	J	`jnl`	Privacy-Preserving Publishing of Multilevel Utility-Controlled Graph Datasets. ACM Trans. Internet Techn. Balaji Palanisamy, Ling Liu, Yang Zhou, Qingyang Wang
2016	J	`jnl`	Analyzing Enterprise Storage Workloads With Graph Modeling and Clustering. IEEE J. Sel. Areas Commun. Yang Zhou, Ling Liu, Sangeetha Seshadri, Lawrence Chiu
2016	J	`jnl`	CSM: A Cloud Service Marketplace for Complex Service Acquisition. ACM Trans. Intell. Syst. Technol. Yexi Jiang, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Yang Zhou, Tao Li
2015	A	`conf`	Clustering Service Networks with Entity, Attribute, and Link Heterogeneity. ICWS Yang Zhou, Ling Liu, Calton Pu, Xianqiang Bao, Kisung Lee, Balaji Palanisamy, Emre Yigitoglu, Qi Zhang
2015	A	`conf`	Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions. HPDC Yang Zhou, Ling Liu, Kisung Lee, Calton Pu, Qi Zhang
2015	J	`jnl`	GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations. Proc. VLDB Endow. Yang Zhou, Ling Liu, Kisung Lee, Qi Zhang
2015	A*	`conf`	Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis. KDD Yang Zhou, Ling Liu, David Buttler
2015	B	`conf`	Policy-Driven Configuration Management for NoSQL. CLOUD Xianqiang Bao, Ling Liu, Nong Xiao, Yang Zhou, Qi Zhang
2015	J	`jnl`	Reliable and Resilient Trust Management in Distributed Service Provision Networks. ACM Trans. Web Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou
2015	A	`conf`	Scaling iterative graph computations with GraphMap. SC Kisung Lee, Ling Liu, Karsten Schwan, Calton Pu, Qi Zhang, Yang Zhou, Emre Yigitoglu, Pingpeng Yuan
2015	J	`jnl`	Social Influence Based Clustering and Optimization over Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data Yang Zhou, Ling Liu
2014	A*	`conf`	Activity-edge centric multi-label classification for mining heterogeneous information networks. KDD Yang Zhou, Ling Liu
2014	J	`jnl`	Anonymizing continuous queries with delay-tolerant mix-zones over road networks. Distributed Parallel Databases Balaji Palanisamy, Ling Liu, Kisung Lee, Shicong Meng, Yuzhe Richard Tang, Yang Zhou
2014	—	`conf`	GraphLens: Mining Enterprise Storage Workloads Using Graph Analytics. BigData Congress Yang Zhou, Sangeetha Seshadri, Lawrence Chiu, Ling Liu
2014	—	`conf`	Improving Hadoop Service Provisioning in a Geographically Distributed Cloud. IEEE CLOUD Qi Zhang, Ling Liu, Kisung Lee, Yang Zhou, Aameek Singh, NagaPramod Mandagere, Sandeep Gopisetty, Gabriel Alatorre
2013	—	`conf`	Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud. IEEE CLOUD Kisung Lee, Ling Liu, Yuzhe Richard Tang, Qi Zhang, Yang Zhou
2013	A	`conf`	Ranking Services by Service Network Structure and Service Attributes. ICWS Yang Zhou, Ling Liu, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Zhiyuan Su
2013	—	`conf`	Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis. IEEE CLOUD Qi Zhang, Ling Liu, Yi Ren, Kisung Lee, Yuzhe Richard Tang, Xu Zhao, Yang Zhou
2013	—	`conf`	ServiceTrust: Trust Management in Service Provision Networks. IEEE SCC Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou
2013	A*	`conf`	Social influence based clustering of heterogeneous information networks. KDD Yang Zhou, Ling Liu
2012	J	`jnl`	Clustering large attributed information networks: an efficient incremental computing approach. Data Min. Knowl. Discov. Hong Cheng, Yang Zhou, Xin Huang, Jeffrey Xu Yu
2011	J	`jnl`	Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities. ACM Trans. Knowl. Discov. Data Hong Cheng, Yang Zhou, Jeffrey Xu Yu
2010	A*	`conf`	Clustering Large Attributed Graphs: An Efficient Incremental Approach. ICDM Yang Zhou, Hong Cheng, Jeffrey Xu Yu
2009	J	`jnl`	Graph Clustering Based on Structural/Attribute Similarities. Proc. VLDB Endow. Yang Zhou, Hong Cheng, Jeffrey Xu Yu
2009	A	`conf`	Identifying bug signatures using discriminative graph mining. ISSTA Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan
2005	C	`conf`	An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms. ADMA Ping Guo, Yang Zhou, Jun Zhuang, Ting Chen, Yan-Rong Kang