Wei Wu

According to our database, Wei Wu authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MPSketch: Message Passing Networks via Randomized Hashing for Efficient Attributed Network Embedding.

Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl, Xuan Tan

IEEE Trans. Cybern., May, 2024

Series decomposition Transformer with period-correlation for stock market index prediction.

Zicheng Tao, Wei Wu, Jianxin Wang

Expert Syst. Appl., March, 2024

Beyond Pairwise Testing: Advancing 3-wise Combinatorial Interaction Testing for Highly Configurable Systems.

Chuan Luo, Shuangyu Lyu, Qiyuan Zhao, Wei Wu, Hongyu Zhang, Chunming Hu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023

Online Coordinated NFV Resource Allocation via Novel Machine Learning Techniques.

Zhiyuan Li, Lijun Wu, Xiangyun Zeng, Xiaofeng Yue, Yulin Jing, Wei Wu, Kaile Su

IEEE Trans. Netw. Serv. Manag., March, 2023

CAmpactor: A Novel and Effective Local Search Algorithm for Optimizing Pairwise Covering Arrays.

Qiyuan Zhao, Chuan Luo, Shaowei Cai, Wei Wu, Jinkun Lin, Hongyu Zhang, Chunming Hu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing.

Xuan Tan, Wei Wu, Chuan Luo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Review for Weighted MinHash Algorithms (Extended abstract).

Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

A Review for Weighted MinHash Algorithms.

Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang

IEEE Trans. Knowl. Data Eng., 2022

Locality Sensitive Hashing for Structured Data: A Survey.

Wei Wu, Bin Li

CoRR, 2022

2021

Hashing-Accelerated Graph Neural Networks for Link Prediction.

Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl

Proceedings of the WWW '21: The Web Conference 2021, 2021

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms.

Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoCCAG: An Automated Approach to Constrained Covering Array Generation.

Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector.

Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems.

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient incident identification from multi-dimensional issue reports via meta-heuristic search.

Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Intelligent Virtual Machine Provisioning in Cloud Computing.

Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Improved Consistent Weighted Sampling Revisited.

Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2019

Neural Feature Search: A Neural Architecture for Automated Feature Engineering.

Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Efficient MinHash-based algorithms for big structured data

Wei Wu

PhD thesis, 2018

K-Ary Tree Hashing for Fast Graph Classification.

Wei Wu, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang

IEEE Trans. Knowl. Data Eng., 2018

Efficient Attributed Network Embedding via Recursive Randomized Hashing.

Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Consistent Weighted Sampling Made More Practical.

Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

Proceedings of the 26th International Conference on World Wide Web, 2017

2016

Cross-View Feature Hashing for Image Retrieval.

Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash.

Wei Wu, Bin Li, Ling Chen, Chengqi Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016