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ORCIDWentao Wang 0006
Person information
- affiliation: Michigan State University, Data Science and Engineering Lab, East Lansing, MI, USA
- affiliation: Florida International University, School of Computing and Information Sciences, Miami, FL, USA
Other persons with the same name
- Wentao Wang (aka: Wen-Tao Wang) — disambiguation page
- Wentao Wang 0001 — Huazhong University of Science and Technology, Institute for Pattern Recognition and Artificial Intelligence, Wuhan, China (and 1 more)
- Wentao Wang 0002 — Jiaxing University, College of Mathematics, Physics and Information Engineering, China (and 1 more)
- Wentao Wang 0003
![[0000-0002-3444-9004]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3444-9004")
— Oracle, USA (and 2 more) - Wentao Wang 0004 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Wentao Wang 0005 — National University of Defense Technology, College of Computer, Changsha, China
- Wentao Wang 0007 — Baidu Inc., Beijing, China
- Wentao Wang 0008 — Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Wentao Wang 0009 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, MoE Key Lab of Artificial Intelligence, China
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Journal Articles
- 2023
[j3]Xin Juan, Fengfeng Zhou, Wentao Wang, Wei Jin, Jiliang Tang, Xin Wang:
INS-GNN: Improving graph imbalance learning with self-supervision. Inf. Sci. 637: 118935 (2023)- 2022
- [j2]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning From Limited Educational Data With Crowdsourced Labels. IEEE Trans. Knowl. Data Eng. 34(6): 2886-2898 (2022) - 2017
- [j1]Tao Li, Chunqiu Zeng, Wubai Zhou, Wei Xue, Yue Huang, Zheng Liu, Qifeng Zhou, Bin Xia, Qing Wang, Wentao Wang, Xiaolong Zhu:
FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. Knowl. Inf. Syst. 52(2): 411-443 (2017)
Conference and Workshop Papers
- 2023
- [c15]Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu:
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. CIKM 2023: 2637-2645 - [c14]Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang:
How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD 2023: 2801-2812 - [c13]Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang:
Toward Degree Bias in Embedding-Based Knowledge Graph Completion. WWW 2023: 705-715 - 2022
- [c12]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. ICDM 2022: 1209-1214 - [c11]Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang:
Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. KDD 2022: 4830-4831 - [c10]Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang:
Learning from Imbalanced Crowdsourced Labeled Data. SDM 2022: 594-602 - [c9]Wentao Wang:
Obtaining Robust Models from Imbalanced Data. WSDM 2022: 1555-1556 - 2021
- [c8]Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang:
Adversarial Robustness in Deep Learning: From Practices to Theories. KDD 2021: 4086-4087 - 2020
- [c7]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) 2020: 893-903 - [c6]Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM 2020: 1316-1321 - [c5]Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang:
Global-and-Local Aware Data Generation for the Class Imbalance Problem. SDM 2020: 307-315 - 2018
- [c4]Wentao Wang, Chunqiu Zeng, Tao Li:
Discovering Multiple Time Lags of Temporal Dependencies from Fluctuating Events. APWeb/WAIM (2) 2018: 121-137 - 2017
- [c3]Tao Li, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu, Wentao Wang, Liang Zhang, Jun Wu, Li Xue, Dewei Bao:
FLAP: An End-to-End Event Log Analysis Platform for System Management. KDD 2017: 1547-1556 - 2016
- [c2]Chunqiu Zeng, Qing Wang, Wentao Wang, Tao Li, Larisa Shwartz:
Online inference for time-varying temporal dependency discovery from time series. IEEE BigData 2016: 1281-1290 - [c1]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:
DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management. CIKM 2016: 1593-1602
Informal and Other Publications
- 2023
- [i6]Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang:
Toward Degree Bias in Embedding-Based Knowledge Graph Completion. CoRR abs/2302.05044 (2023) - 2022
- [i5]Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang:
Enhancing Adversarial Training with Feature Separability. CoRR abs/2205.00637 (2022) - 2021
- [i4]Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang:
Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR abs/2106.04794 (2021) - [i3]Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang:
Imbalanced Adversarial Training with Reweighting. CoRR abs/2107.13639 (2021) - 2020
- [i2]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning from Limited Educational Data with Crowdsourced Labels. CoRR abs/2009.11222 (2020) - [i1]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR abs/2009.13028 (2020)
Coauthor Index
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