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Trustworthy Machine Learning

• ICC'25 Making Computational Task Offloading Decision Based on Swarm Intelligence enabled RL in Internet-of-Things Blockchain
  Zhuo Chen, Jiahuan Yi, Yunpeng Yang, Yang Zhou
  The 42nd IEEE International Conference on Communications
• CIKM'24 Advancing Certified Robustness of Explanation via Gradient Quantization
  Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui
  The 33rd ACM International Conference on Information and Knowledge Managemen
• ICML'23 Fast Federated Machine Unlearning with Nonlinear Functional Theory
  Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
  The 40th International Conference on Machine Learning
• ICML'23 Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
  Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan
  The 40th International Conference on Machine Learning
• NeurIPS'22 Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization
  Zijie Zhang, Yang Zhou, Xin Zhao, Tianshi Che, Lingjuan Lyu
  The 36th Conference on Neural Information Processing Systems
• ICML'22 Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
  Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu
  The 39th International Conference on Machine Learning
• EMNLP'21 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
  The 26th Conference on Empirical Methods in Natural Language Processing
• ICML'21 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
  The 38th International Conference on Machine Learning
• ICML'21 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
  The 38th International Conference on Machine Learning
• WWW'21 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
  The 30th Web Conference
• NeurIPS'20 Adversarial Attacks on Deep Graph Matching
  Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou
  The 34th Conference on Neural Information Processing Systems
• ICDM'20 Robust Meta Network Embedding against Adversarial Attacks
  Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee
  The 20th IEEE International Conference on Data Mining
• TOIT'18 Privacy-Preserving Publishing of Multilevel Utility-Controlled Graph Datasets
  Balaji Palanisamy, Ling Liu, Yang Zhou, Qingyang Wang
  ACM Transactions on Internet Technology
• TWEB'15 Reliable and Resilient Trust Management in Distributed Service Provision Networks
  Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou
  ACM Transactions on the Web
• SCC'13 ServiceTrust: Trust Management in Service Provision Networks
  Zhiyuan Su, Ling Liu, Mingchu Li, Xinxin Fan, Yang Zhou
  The 10th IEEE International Conference on Services Computing

Parallel, Distributed, and Federated Learning

• arXiv 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
• EDBT'25 Efficient Enumeration of Large Maximal k-Plexes
  Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
  The 28th International Conference on Extending Database Technology
• EMNLP'24 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
  The 29th Conference on Empirical Methods in Natural Language Processing
• WiOpt'24 Anarchic Federated Bilevel Optimization
  Dongsheng Li, Ye Zhu, Xiaowen Gong, Shiwen Mao, Yang Zhou
  The 22nd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
• TIST'24 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, and Dejing Dou
ACM Transactions on Intelligent Systems and Technology
• ICML'24 Effective Federated Graph Matching
  Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku
  The 41st International Conference on Machine Learning
• FGCS'24 Analyzing the Blockchain Mining Strategy in Industrial Internet of Things: A Game Theoretical Approach
  Zhuo Chen, Zhe Liu, Yang Zhou
Future Generation Computer Systems
• ICDE'24 Faster Depth-First Subgraph Matching on GPUs
  Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang
  The 40th IEEE International Conference on Data Engineering
• ICDE'24 G2-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Search on GPUs
  Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou
  The 40th IEEE International Conference on Data Engineering
• ICDE'24 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
  The 40th IEEE International Conference on Data Engineering
• SDM'24 AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices
  Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
  The 24th SlAM International Conference on Data Mining
• AAAI'24 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
  The 38th AAAI Conference on Artificial Intelligence
• EMNLP'23 Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization [code]
  Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
  The 28th Conference on Empirical Methods in Natural Language Processing
• GLOBECOM'23 A Channel Aggregation based Dynamic Pruning Method in Federated Learning
  Zhuo Chen, Xiaoxiang Tan, Zhiyuan Zhou, Yang Zhou
  The 24th IEEE Global Communications Conference
• ICML'23 Fast Federated Machine Unlearning with Nonlinear Functional Theory
  Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
  The 40th International Conference on Machine Learning
• KDD'23 International Workshop on Federated Learning for Distributed Data Mining
  Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Boddeti, Jiayu Zhou
  The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• ComSIS'23 A Hierarchical Federated Learning Model with Adaptive Model Parameter Aggregation
  Zhuo Chen, Chuan Zhou, Yang Zhou
Computer Science and Information Systems
• TPDS'23 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 Transactions on Parallel and Distributed Systems
• Chapter'22b Parallel Graph Processing
  Da Yan, Yang Zhou, Guimu Guo, Hang Liu. Albert Zomaya, Javid Taheri, Sherif Sakr (Eds.)
  Encyclopedia of Big Data Technologies
• ICDM'22 Federated Fingerprint Learning with Heterogeneous Architectures
  Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
  The 22nd IEEE International Conference on Data Mining
• ICML'22 Accelerated Federated Learning with Decoupled Adaptive Optimization
  Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
  The 39th International Conference on Machine Learning
• IJCAI'22 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
The 31st International Joint Conference on Artificial Intelligence
• ICDE'22 Maximal Directed Quasi-Clique Mining
  Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou
The 38th IEEE International Conference on Data Engineering
• KAIS'22 From Distributed Machine Learning to Federated Learning: A Survey
  Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
Knowledge and Information Systems
• VLDBJ'22 PrefixFPM: A Parallel Framework for General-Purpose Mining of Frequent and Closed Patterns
  Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang, Yang Zhou
  The VLDB Journal
• Chapter'22a Think-Like-a-Task Programming Model
  Da Yan, Yang Zhou, Guimu Guo. Albert Zomaya, Javid Taheri, Sherif Sakr (Eds.)
  Encyclopedia of Big Data Technologies
• AAAI'22 Efficient Device Scheduling with Multi-Job Federated Learning
  Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
  The 36th AAAI Conference on Artificial Intelligence
• NeurIPS'21 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
  The 35th Conference on Neural Information Processing Systems
• VLDB'20 Parallel Mining of Frequent Subtree Patterns
  Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou
  The Second International Workshop on Large Scale Graph Data Analytics at the 46th International Conference on Very Large Databases
• TJSC'20 GraphMap: Scalable Iterative Graph Processing Using NoSQL
  Sayan Goswami, Ayam Pokhrel, Kisung Lee, Ling Liu, Qi Zhang, Yang Zhou
  Journal of Supercomputing
• TSC'19 Lightweight Indexing and Querying Services for Big Spatial Data
  Kisung Lee, Ling Liu, Raghu L. Ganti, Mudhakar Srivatsa, Qi Zhang, Yang Zhou, Qingyang Wang
  IEEE Transactions on Services Computing
• TIST'16 CSM: A Cloud Service Marketplace for Complex Service Acquisition
  Yexi Jiang, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Yang Zhou, Tao Li
  ACM Transactions on Intelligent Systems and Technology
• SC'15 Scaling Iterative Graph Computations with GraphMap
  Kisung Lee, Ling Liu, Karsten Schwan, Calton Pu, Qi Zhang, Yang Zhou, Emre Yigitoglu, Pingpeng Yuan
  The 27th IEEE international conference for High Performance Computing, Networking, Storage and Analysis
• VLDB'15 GraphTwist: Fast Iterative Graph Computation with Two-tier Optimizations
  Yang Zhou, Ling Liu, Kisung Lee, Qi Zhang
  The 41st International Conference on Very Large Data Bases
• CLOUD'15 Policy-Driven Configuration Management for NoSQL
  Xianqiang Bao, Ling Liu, Nong Xiao, Yang Zhou, Qi Zhang
  The 2015 IEEE International Conference on Cloud Computing
• HPDC'15 Fast Iterative Graph Computation with Resource Aware Graph Parallel Abstractions
  Yang Zhou, Ling Liu, Kisung Lee, Calton Pu, Qi Zhang
  The 24th ACM Symposium on High-Performance Parallel and Distributed Computing
• CLOUD'14 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
  The 2014 IEEE International Conference on Cloud Computing
• CLOUD'13 Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud
  Kisung Lee, Ling Liu, Yuzhe Tang, Qi Zhang, Yang Zhou
  The 2013 IEEE International Conference on Cloud Computing
• CLOUD'13 Residency Aware Inter-VM Communication in Virtualized Cloud: Performance Measurement and Analysis
  Qi Zhang, Ling Liu, Yi Ren, Kisung Lee, Yuzhe Tang, Xu Zhao, Yang Zhou
  The 2013 IEEE International Conference on Cloud Computing

Natural Language Processing

• arXiv Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation
  Gong Zhang, Yang Zhou, SixingWu, Zeru Zhang, Dejing Dou
• EMNLP'24 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
  The 29th Conference on Empirical Methods in Natural Language Processing
• TKDD'23 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 Transactions on Knowledge Discovery from Data
• EMNLP'23 Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization [code]
  Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
  The 28th Conference on Empirical Methods in Natural Language Processing
• EMNLP'23 Exploring the Effectiveness of Multi-Lingual Commonsense Knowledge-Aware Open-Domain Dialogue Response Generation
  Sixing Wu, Jiong Yu, Tianshi Che, Yang Zhou, Wei Zhou
  The 28th Conference on Empirical Methods in Natural Language Processing
• ICDE'23 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
  The 39th IEEE International Conference on Data Engineering
• EMNLP'21 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
  The 26th Conference on Empirical Methods in Natural Language Processing
• EMNLP'21 More is Better: Enhancing Open-Domain Dialogue Generation by Using Multi-Source Heterogeneous Knowledge
  Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu
  The 26th Conference on Empirical Methods in Natural Language Processing
• IJCAI'21 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
  The 30th International Joint Conference on Artificial Intelligence
• IJCNN'21 Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach
  Xingkun Yin, Da Yan, Abdullateef Almudaifer, Sibo Yan, Yang Zhou
  The 34th International Joint Conference on Neural Networks
• BigData'20 BELT: A Pipeline for Stock Price Prediction Using News
  Yingzhe Dong, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Zhe Jiang, Yang Zhou
  The 2020 IEEE International Conference on Big Data
• IJCAI'20 TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact
  Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
  The 29th International Joint Conference on Artificial Intelligence
• ACL'20 Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness
  Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
  The 58th Conference of the Association for Computational Linguistics
• TKDE'20 A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario
  Huan Rong, Victor S. Sheng, Yang Zhou, Tinghuai Ma, Mznah Al-Rodhaan
  IEEE Transactions on Knowledge and Data Engineering

Graph Machine Learning

• EDBT'25 Efficient Enumeration of Large Maximal k-Plexes
  Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou
  The 28th International Conference on Extending Database Technology
• CIKM'24 DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph
  Jalal Khalil, Ahmad Akhlaque, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang
  The 33rd ACM International Conference on Information and Knowledge Managemen
• ICML'24 Effective Federated Graph Matching
  Yang Zhou, Zijie Zhang, Zeru Zhang, Lingjuan Lyu, Wei-Shinn Ku
  The 41st International Conference on Machine Learning
• IJCAI'24 EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery
  Mirza Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou
The 33rd International Joint Conference on Artificial Intelligence
• AAAI'24 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
  The 38th AAAI Conference on Artificial Intelligence
• TIST'22 Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training
  Wenchong He, Arpan Sainju, Zhe Jiang, Da Yan, Yang Zhou
ACM Transactions on Intelligent Systems and Technology
• TKDD'21 Unsupervised Adversarial Network Alignment with Reinforcement Learning
  Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
ACM Transactions on Knowledge Discovery from Data
• KDD'21 Towards a Better Understanding of Linear Models for Recommendation
  Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou
  The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• BigData'20 Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference
  Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan
  The 2020 IEEE International Conference on Big Data
• TOIT'20 Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks
  Yang Zhou, Ling Liu, Kisung Lee, Balaji Palanisamy, Qi Zhang
  ACM Transactions on Internet Technology
• CogMI'19 Approximate Deep Network Embedding for Mining Large-scale Graphs
  Yang Zhou, Ling Liu
  The 2019 IEEE International Conference on Cognitive Machine Intelligence
• BigData'19 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
  The 2019 IEEE International Conference on Big Data
• BigData'19 Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets
  Yang Zhou, Jiaxiang Ren, SixingWu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang
  The 2019 IEEE International Conference on Big Data
• CSoNet'19 Enhancing Collaborative Filtering with Multi-label Classification
  Yang Zhou, Ling Liu, Qi Zhang, Kisung Lee, Balaji Palanisamy
  The 2019 International Conference on Computational Data and Social Networks
• ICDM'19 Dual Adversarial Learning Based Network Alignment
  Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang
  The 19th IEEE International Conference on Data Mining
• BigData'18 Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering
  Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, Pengwei Wang
  The 2018 IEEE International Conference on Big Data
• ICDM'18 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
  The 18th IEEE International Conference on Data Mining
• Thesis'17 Innovative Mining, Processing, and Application of Big Graphs
  Yang Zhou
  PhD Dissertation, Georgia Institute of Technology
• JSAC'16 Analyzing Enterprise Storage Workloads with Graph Modeling and Clustering
  Yang Zhou, Ling Liu, Sangeetha Seshadri, Lawrence Chiu
  IEEE Journal on Selected Areas in Communications
• KDD'15 Integrating Vertex-centric Clustering with Edge-centric Clustering for Meta Path Graph Analysis
  Yang Zhou, Ling Liu, David Buttler
  The 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• TKDD'15 Social Influence Based Clustering and Optimization over Heterogeneous Information Networks
  Yang Zhou, Ling Liu
  ACM Transactions on Knowledge Discovery from Data
• ICWS'15 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
  The 22nd IEEE International Conference on Web Services
• KDD'14 Activity-edge Centric Multi-label Classification for Mining Heterogeneous Information Networks
  Yang Zhou, Ling Liu
  The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• BigData'14 GraphLens: Mining Enterprise Storage Workloads Using Graph Analytics
  Yang Zhou, Sangeetha Seshadri, Lawrence Chiu, Ling Liu
  The 2014 IEEE International Congress on Big Data
• DAPD'14 Anonymizing Continuous Queries with Delay-tolerant Mix-zones over Road Networks
  Balaji Palanisamy, Ling Liu, Kisung Lee, Shicong Meng, Yuzhe Tang, Yang Zhou
  Distributed and Parallel Databases
• KDD'13 Social Influence Based Clustering of Heterogeneous Information Networks
  Yang Zhou, Ling Liu
  The 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• ICWS'13 Ranking Services by Service Network Structure and Service Attributes
  Yang Zhou, Ling Liu, Chang-Shing Perng, Anca Sailer, Ignacio Silva-Lepe, Zhiyuan Su
  The 20th IEEE International Conference on Web Services
• DMKD'12 Clustering Large Attributed Information Networks: An Efficient Incremental Computing Approach
  Hong Cheng, Yang Zhou, Xin Huang, Jeffrey Xu Yu
  Data Mining and Knowledge Discovery
• Chapter'12 Clustering Analysis in Large Graphs with Rich Attributes
  Yang Zhou, Ling Liu. Dawn E. Holmes and Lakhmi C. Jain (Eds.)
  Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering, Association and Classification
• TKDD'11 Clustering Large Attributed Graphs: A Balance Between Structural and Attribute Similarities
  Hong Cheng, Yang Zhou, Jeffrey Xu Yu
  ACM Transactions on Knowledge Discovery from Data
• ICDM'10 Clustering Large Attributed Graphs: An Efficient Incremental Approach
  Yang Zhou, Hong Cheng, Jeffrey Xu Yu
  The 10th IEEE International Conference on Data Mining
• VLDB'09 Graph Clustering Based on Structural/Attribute Similarities
  Yang Zhou, Hong Cheng, Jeffrey Xu Yu
  The 35th International Conference on Very Large Data Bases
• ISSTA'09 Identifying Bug Signatures Using Discriminative Graph Mining
  Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan
  The 18th International Symposium on Software Testing and Analysis

Interdisciplinary Research

• TSAS'24 Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data
  Saugat Adhikari, Zhe Jiang, Jiao Han, Zelin Xu, Yupu Zhang, Arpan Sainju, Yang Zhou
ACM Transactions on Spatial Algorithms and Systems
• AIChE'23 Methods for AI-Enabled Water Treatment
  Da Yan, Robert Peters, Yang Zhou, Mohamed K. Mostafa
  The 2023 AIChE Annual Meeting
• ICDM'22 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
  The 22nd IEEE International Conference on Data Mining
• KDD'22 Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery
  Wenchong He, Marcus Kriby, Zhe Jiang, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou
  The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• ANR'21 A Classification Algorithm to Predict Chronic Pain Using both Regression and Machine Learning - A Stepwise Approach
  Pao-Feng Tsai, Chih-Hsuan Wang, Yang Zhou, Jiaxiang Ren, Alisha Jones, Sarah O. Watts, Chiahung Chou, Wei-Shinn Ku
  Applied Nursing Research
• TRR'21 Identifying Wrong-Way Driving Incidents from Regular Traffic Videos Using Unsupervised Trajectory-based Method
  Qing Chang, Jiaxiang Ren, Huaguo Zhou, Yang Zhou, Yukun Song
  Transportation Research Record
• FRAI'21 Towards the Impact of Non-pharmaceutical Interventions and Vaccination on the spread of COVID-19 with Time-dependent SEIR Model
  Yuexin Li, Linqiang Ge, Yang Zhou, Xuan Cao, Jingyi Zheng
  Frontiers in Artificial Intelligence
• ICMLA'20 Automated Semantic Segmentation of Cardiac Magnetic Resonance Images with Deep Learning
  Sujata Sinha, Thomas Denney, Yang Zhou, Jingyi Zheng
  The 19th IEEE International Conference on Machine Learning and Applications
• KDD'20 A Data-driven Approach for Assessing the Impact of Non-pharmaceutical Interventions on the COVID-19 using Time-dependent SEIR Model
  Ismail Abdulrashid, Fauziya Ado Yakasai, Yuexin Li, Nedret Billor, Yang Zhou, Jingyi Zheng
  The 19th International Workshop on Data Mining in Bioinformatics at the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
• JCM'20 Virtual network function deployment strategy based on improved genetic simulated annealing
  Zhuo Chen, Gang Feng, Yijing Liu, Yang Zhou
  Journal on Communications
• CJE'18 Delay Optimization Oriented Service Function Chain Migration and Re-deployment in Operator Network
  Zhuo Chen, Gang Feng, Bei Liu, Yang Zhou
  Chinese Journal Of Electronics
• JEIT'18 Construction Policy of Network Service Chain Oriented to Resource Fragmentation Optimization in Operator Network
  Zhuo Chen, Gang Feng, Bei Liu, Yang Zhou
  Journal of Electronics and Information Technology