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<!DOCTYPE html>
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<font face="楷体" color="black" size="5px">最新发表论文 （<a href="publication_full.html">完整论文列表</a>）</font>
<ul><font face="Arial, Helvetica, Tahoma, sans-serif" color="black">
<li><b><a href="https://doi.org/10.48550/arXiv.2401.11469">Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control</a><font color="green"> [机器学习]</font> <img src="images/hot.gif"></b>
<br>张旭, 王志刚等. <em>https://doi.org/10.48550/arXiv.2401.11469, 2024</em>.
</li>
<p></p>
<li><b><a href="https://doi.org/10.48550/arXiv.2401.11471">LR-CNN: Lightweight Row-Centric Convolutional Neural Network Training for Memory Reduction</a><font color="green"> [机器学习]</font> <img src="images/hot.gif"></b>
<br>杨航宇, 王志刚等. <em>https://doi.org/10.48550/arXiv.2401.11471, 2024</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View</a><font color="bronze"> [图计算]</font> <img src="images/hot.gif"></b>
<br>杨子超, 王志刚等. <em>IEEE International Conference on Distributed Computing Systems, 2023 (<b>ICDCS, CCF-B</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">PrivNUD: Effective Range Query Processing under Local Differential Privacy</a><font color="orange"> [数据安全]</font> <img src="images/hot.gif"></b>
<br>王耀华, 王宁等. <em>IEEE International Conference on Data Engineering, 2023 (<b>ICDE, CCF-A</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning</a><font color="green"> [机器学习]</font> <img src="images/hot.gif"></b>
<br>涂懿磊, 王志刚等. <em>IEEE Transactions on Parallel and Distributed Systems, 2023 (<b>TPDS, CCF-A</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">A lock-free approach to parallelizing personalized pagerank computations on GPU</a><font color="bronze"> [图计算]</font> </b>
<br>王志刚, 王宁等. <em>Frontiers of Computer Science, 2023 (FCS, CCF-B)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">分布式多维大图迭代计算性能优化方法</a><font color="bronze"> [图计算]</font> </b>
<br>杜玉洁, 王志刚等. <em>计算机研究与发展, 2023 (<b>CCF-A类中文</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression</a><font color="green"> [机器学习]</font> </b>
<br>谷峪, 王志刚等. <em>IEEE International Conference on Data Engineering, 2022 (<b>ICDE, CCF-A</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">Collecting and analyzing key-value data under shuffled differential privacy</a><font color="orange"> [数据安全]</font> </b>
<br>郑伟, 王宁等. <em>Frontiers of Computer Science, 2022 (FCS, CCF-B)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">混洗差分隐私模型下的多维类别数据的收集与分析</a><font color="orange"> [数据安全]</font> </b>
<br>刘艺菲, 王宁等. <em>软件学报, 2022 (<b>CCF-A类中文</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">HGraph: I/O-efficient Distributed and Iterative Graph Computing by Hybrid Pushing/Pulling</a><font color="bronze"> [图计算]</font> </b>
<br>王志刚, 于戈等. <em>IEEE Transactions on Knowledge and Data Engineering, 2021 (<b>TKDE, CCF-A</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">Collecting and Analyzing Multidimensional Data with Local Differential Privacy</a><font color="orange"> [数据安全]</font> </b>
<br>王宁, 于戈等. <em>IEEE International Conference on Data Engineering, 2019 (<b>ICDE, CCF-A</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">TSH: Easy-to-be distributed partitioning for large-scale graphs</a><font color="bronze"> [图计算]</font> </b>
<br>王宁, 王志刚等. <em>Future Generation Computer Systems, 2019 (<b>FGCS, 中科院一区Top</b>)</em>.
</li>
<p></p>
<li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">Differentially Private High Dimensional Data Publication via Grouping and Truncating Techniques</a><font color="orange"> [数据安全]</font> </b>
<br>王宁, 于戈等. <em>Frontier of Computer Science, 2019 (FCS, CCF-B)</em>.
</li>
<p></p>
<!-- 参考下面模板编写-->
<!-- <li><b><a href="https://arxiv.org/pdf/2304.07458.pdf">Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph </a> (CCF-->
<!-- A)[<a href="./slides/Layph_ICDE23.pdf "><font color="orange">Slides</font></a>]</b><br> Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou<br> <em><a-->
<!-- href="https://icde2023.ics.uci.edu/">Proceedings of IEEE International Conference on Data Engineering (<b>ICDE 2023</b>)</ a></em>,-->
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<!-- <li><b><a href="https://arxiv.org/pdf/2208.14935.pdf">HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management </a> (CCF-->
<!-- A)[<a href="https://github.com/iDC-NEU/HyTGraph"><font color="green">Code</font></a>] </b><br> Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, and Ge Yu<br> <em><a-->
<!-- href="https://icde2023.ics.uci.edu/">Proceedings of IEEE International Conference on Data Engineering (<b>ICDE 2023</b>)</a></em>,-->
<!-- Dallas, USA, 2023.-->
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<!-- <li><b><a href="https://www.vldb.org/pvldb/vol15/p2585-zhang.pdf">NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering </a> (CCF-->
<!-- A)[<a href="https://github.com/zhangyf-neu/zhangyf-neu.github.io/files/9607312/neuchain-vldb2022.pdf"><font color="orange">Slides</font></a>] </b><br> Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu<br> <em><a-->
<!-- href="https://vldb.org/2022/">Proceedings of the VLDB Endowment (<b>PVLDB 2022</b>)</a></em>,-->
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