A BSP-Based Parallel Iterative Processing System with Multiple Partition Strategies for Big Graphs. - Zhigang Wang 001; Yubin Bao; Yu Gu 002; Fangling Leng; Ge Yu 001; Chao Deng; Leitao Guo (BigData Congress, 2013)

BC-BSP: A BSP-Based Parallel Iterative Processing System for Big Data on Cloud Architecture. - Yubin Bao; Zhigang Wang 001; Yu Gu 002; Ge Yu 001; Fangling Leng; Hongxu Zhang; Bairen Chen; Chao Deng; Leitao Guo (DASFAA Workshops, 2013)

Parallel Triangle Counting over Large Graphs. - Wenan Wang; Yu Gu 002; Zhigang Wang 001; Ge Yu 001 (DASFAA (2), 2013)

Shortest Path Computation over Disk-Resident Large Graphs Based on Extended Bulk Synchronous Parallel Methods. - Zhigang Wang 001; Yu Gu 002; Roger Zimmermann; Ge Yu 001 (DASFAA (2), 2013)

Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing. - Zhigang Wang 001; Yu Gu 002; Yubin Bao; Ge Yu 001; Jeffrey Xu Yu (SIGMOD Conference, 2016)

Efficient moving k nearest neighbor queries over line segment objects. - Yu Gu 002; Hui Zhang; Zhigang Wang 001; Ge Yu 001 (World Wide Web, 2016)

FSP: towards flexible synchronous parallel framework for expectation-maximization based algorithms on cloud. - Zhigang Wang 001; Lixin Gao 001; Yu Gu 002; Yubin Bao; Ge Yu 001 (SoCC, 2017)

An I/O-efficient and adaptive fault-tolerant framework for distributed graph computations. - Zhigang Wang 001; Yu Gu 002; Yubin Bao; Ge Yu 001; Lixin Gao 001 (Distributed Parallel Databases, 2017)

A Fault-Tolerant Framework for Asynchronous Iterative Computations in Cloud Environments. - Zhigang Wang 001; Lixin Gao 001; Yu Gu 002; Yubin Bao; Ge Yu 001 (IEEE Trans. Parallel Distributed Syst., 2018)

Differentially Private Top-k Frequent Columns Publication for High-Dimensional Data. - Ning Wang 026; Zhigang Wang 001; Yu Gu 002; Jia Xu 005; Zhiqiang Wei 002; Ge Yu 001 (IEEE Access, 2019)

TSH: Easy-to-be distributed partitioning for large-scale graphs. - Ning Wang 026; Zhigang Wang 001; Yu Gu 002; Yubin Bao; Ge Yu 001 (Future Gener. Comput. Syst., 2019)

Efficient Closeness Centrality Computation for Dynamic Graphs. - Zhenzhen Shao; Na Guo; Yu Gu 002; Zhigang Wang 001; Fangfang Li 002; Ge Yu 001 (DASFAA (2), 2020)

An Adaptive Sharing Framework for Efficient Multi-source Shortest Path Computation. - Xinyi Liu; Zhigang Wang 001; Ning Wang 026; Xiangtan Li; Bo Zhang; Jun Qiao; Zhiqiang Wei 002; Jie Nie (WISA, 2021)

Differentially Private Linear Regression Analysis via Truncating Technique. - Yifei Liu; Ning Wang 026; Zhigang Wang 001; Xiaodong Wang 006; Yun Gao; Xiaopeng Ji; Zhiqiang Wei 002; Jun Qiao (WISA, 2021)

DiterGraph: Toward I/O-Efficient Incremental Computation over Large Graphs with Billion Edges. - Yujie Du; Zhigang Wang 001; Ning Wang 026; Luqing Xie; Zhiqiang Wei 002 (BigCom, 2021)

HGraph: I/O-Efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling. - Zhigang Wang 001; Yu Gu 002; Yubin Bao; Ge Yu 001; Jeffrey Xu Yu; Zhiqiang Wei 002 (IEEE Trans. Knowl. Data Eng., 2021)

Spatial Data Publication Under Local Differential Privacy. - Jian Zhuang; Ning Wang 003; Zhigang Wang 001; Xiaodong Wang 006; Haipeng Qu; Zhiqiang Wei 002 (WISA, 2022)

EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. - Zhen Song; Yu Gu 002; Jianzhong Qi 001; Zhigang Wang 001; Ge Yu 001 (ICDE, 2022)

DRPS: efficient disk-resident parameter servers for distributed machine learning. - Zhen Song; Yu Gu 002; Zhigang Wang 001; Ge Yu 001 (Frontiers Comput. Sci., 2022)

Collecting and analyzing key-value data under shuffled differential privacy. - Ning Wang 026; Wei Zheng; Zhigang Wang 001; Zhiqiang Wei 002; Yu Gu 002; Peng Tang; Ge Yu 001 (Frontiers Comput. Sci., 2022)

Distributed Hypergraph Processing Using Intersection Graphs. - Yu Gu 002; Kaiqiang Yu; Zhen Song; Jianzhong Qi 001; Zhigang Wang 001; Ge Yu 001; Rui Zhang 003 (IEEE Trans. Knowl. Data Eng., 2022)

Lazy Machine Unlearning Strategy for Random Forests. - Nan Sun 004; Ning Wang 026; Zhigang Wang 001; Jie Nie; Zhiqiang Wei 002; Peishun Liu; Xiaodong Wang 006; Haipeng Qu (WISA, 2023)

Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View. - Zhigang Wang 001; Zichao Yang; Ning Wang 026; Yujie Du; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (ICDCS, 2023)

PrivNUD: Effective Range Query Processing under Local Differential Privacy. - Ning Wang 026; Yaohua Wang; Zhigang Wang 001; Jie Nie; Zhiqiang Wei 002; Peng Tang; Yu Gu 002; Ge Yu 001 (ICDE, 2023)

A lock-free approach to parallelizing personalized PageRank computations on GPU. - Zhigang Wang 001; Ning Wang 026; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (Frontiers Comput. Sci., 2023)

FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. - Zhigang Wang 001; Yilei Tu; Ning Wang 026; Lixin Gao 001; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Efficient Subhypergraph Matching Based on Hyperedge Features. - Yuhang Su; Yu Gu 002; Zhigang Wang 001; Ying Zhang 001; Jianbin Qin; Ge Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Dynamic Convergence Criterion for Fast K-means Computations. - Hui Yu; Yujie Du; Xiaoqi Zhang; Zhigang Wang 001; Ning Wang; Juncheng Yi; Xiaodong Wang 006; Jie Nie; Zhiqiang Wei 002 (WISA, 2024)

Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control. - Zhigang Wang 001; Xu Zhang; Ning Wang 026; Chuanfei Xu; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (CoRR, 2024)

LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction. - Zhigang Wang 001; Hangyu Yang; Ning Wang 026; Chuanfei Xu; Jie Nie; Zhiqiang Wei 002; Yu Gu 002; Ge Yu 001 (CoRR, 2024)

Locally differentially private frequency distribution estimation with relative error optimization. - Ning Wang 026; Yifei Liu; Zhigang Wang 001; Zhiqiang Wei 002; Ruichun Tang; Peng Tang; Ge Yu 001 (Frontiers Comput. Sci., 2024)

Multidimensional categorical data collection under shuffled differential privacy. - Ning Wang 026; Jian Zhuang; Zhigang Wang 001; Zhiqiang Wei 002; Yu Gu 002; Peng Tang; Ge Yu 001 (Comput. Secur., 2025)