Wentao Wang

According to our database, Wentao Wang authored at least 20 papers between 2016 and 2023.

Collaborative distances:

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

2023

INS-GNN: Improving graph imbalance learning with self-supervision.

Xin Juan, Fengfeng Zhou, Wentao Wang, Wei Jin, Jiliang Tang, Xin Wang

Inf. Sci., August, 2023

Toward Degree Bias in Embedding-Based Knowledge Graph Completion.

Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang

Proceedings of the ACM Web Conference 2023, 2023

How does the Memorization of Neural Networks Impact Adversarial Robust Models?

Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.

Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Representation Learning From Limited Educational Data With Crowdsourced Labels.

Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu

IEEE Trans. Knowl. Data Eng., 2022

Enhancing Adversarial Training with Feature Separability.

Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang

CoRR, 2022

Obtaining Robust Models from Imbalanced Data.

Wentao Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning from Imbalanced Crowdsourced Labeled Data.

Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks.

Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Imbalanced Adversarial Training with Reweighting.

Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Towards the Memorization Effect of Neural Networks in Adversarial Training.

Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang

CoRR, 2021

Adversarial Robustness in Deep Learning: From Practices to Theories.

Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Global-and-Local Aware Data Generation for the Class Imbalance Problem.

Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Learning from Incomplete Labeled Data via Adversarial Data Generation.

Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning.

Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018

Discovering Multiple Time Lags of Temporal Dependencies from Fluctuating Events.

Wentao Wang, Chunqiu Zeng, Tao Li

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

2017

FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications.

Tao Li, Chunqiu Zeng, Wubai Zhou, Wei Xue, Yue Huang, Zheng Liu, Qifeng Zhou, Bin Xia, Qing Wang, Wentao Wang, Xiaolong Zhu

Knowl. Inf. Syst., 2017

FLAP: An End-to-End Event Log Analysis Platform for System Management.

Tao Li, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu, Wentao Wang, Liang Zhang, Jun Wu, Li Xue, Dewei Bao

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management.

Tao Li, Wubai Zhou, Chunqiu Zeng, Qing Wang, Qifeng Zhou, Dingding Wang, Jia Xu, Yue Huang, Wentao Wang, Minjing Zhang, Steven Luis, Shu-Ching Chen, Naphtali Rishe

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Online inference for time-varying temporal dependency discovery from time series.

Chunqiu Zeng, Qing Wang, Wentao Wang, Tao Li, Larisa Shwartz

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016