Zobrazeno 1 - 10
of 1 015
pro vyhledávání: '"Wu, Huijun"'
Graph neural network (GNN) models play a pivotal role in numerous tasks involving graph-related data analysis. Despite their efficacy, similar to other deep learning models, GNNs are susceptible to adversarial attacks. Even minor perturbations in gra
Externí odkaz:
http://arxiv.org/abs/2406.03833
Autor:
Yang, Xihong, Min, Erxue, Liang, Ke, Liu, Yue, Wang, Siwei, Zhou, Sihang, Wu, Huijun, Liu, Xinwang, Zhu, En
Contrastive deep graph clustering (CDGC) leverages the power of contrastive learning to group nodes into different clusters. The quality of contrastive samples is crucial for achieving better performance, making augmentation techniques a key factor i
Externí odkaz:
http://arxiv.org/abs/2212.03559
Autor:
Tang, Chunxu, Wang, Beinan, Wu, Huijun, Wang, Zhenzhao, Li, Yao, Channapattan, Vrushali, Luo, Zhenxiao, Kabra, Ruchin, Ghosh, Mainak, Navadiya, Nikhil Kantibhai, Mishra, Prachi, Mukhedkar, Prateek, Lu, Anneliese
The demand for data analytics has been consistently increasing in the past years at Twitter. In order to fulfill the requirements and provide a highly scalable and available query experience, a large-scale in-house SQL system is heavily relied on. Re
Externí odkaz:
http://arxiv.org/abs/2207.04199
Autor:
Xu, Yuhuan1 (AUTHOR), Wu, Huijun1 (AUTHOR) wuhuijun414@gmail.com, Dong, Zhanfeng2 (AUTHOR) dongzf@caep.org.cn, Wang, Qianqian1 (AUTHOR), Chen, Xinyue1 (AUTHOR)
Publikováno v:
Environment, Development & Sustainability. Aug2024, Vol. 26 Issue 8, p20049-20071. 23p.
Autor:
Tang, Chunxu, Li, Yao, Luo, Zhenxiao, Ghosh, Mainak, Wu, Huijun, Zhang, Lu, Lu, Anneliese, Kabra, Ruchin, Navadiya, Nikhil Kantibhai, Mishra, Prachi, Mukhedkar, Prateek, Channapattan, Vrushali
We have witnessed a boosted demand for graph analytics at Twitter in recent years, and graph analytics has become one of the key parts of Twitter's large-scale data analytics and machine learning for driving engagement, serving the most relevant cont
Externí odkaz:
http://arxiv.org/abs/2204.11338
Autor:
Tang, Chunxu, Wang, Beinan, Luo, Zhenxiao, Wu, Huijun, Dasan, Shajan, Fu, Maosong, Li, Yao, Ghosh, Mainak, Kabra, Ruchin, Navadiya, Nikhil Kantibhai, Cheng, Da, Dai, Fred, Channapattan, Vrushali, Mishra, Prachi
With the advent of the Big Data era, it is usually computationally expensive to calculate the resource usages of a SQL query with traditional DBMS approaches. Can we estimate the cost of each query more efficiently without any computation in a SQL en
Externí odkaz:
http://arxiv.org/abs/2204.05529
Publikováno v:
In ICC 2021-IEEE International Conference on Communications (pp. 1-6). IEEE (2021, June)
Remote collaboration tools for conferencing and presentation are gaining significant popularity during the COVID-19 pandemic period. Most prior work has issues, such as a) limited support for media types, b) lack of interactivity, for example, an eff
Externí odkaz:
http://arxiv.org/abs/2204.06134
Publikováno v:
In Renewable and Sustainable Energy Reviews September 2024 202
Autor:
Guo, Yanling, Du, Ke, Wu, Huijun, Li, Xuemei, Huang, Huakun, Liu, Jia, Huang, Gongsheng, Xu, Xinhua
Publikováno v:
In Journal of Building Engineering 1 September 2024 92