Wentao Wang - RankMe

24 papers A* 7A 5Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. CIKM Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu
2023	A*	`conf`	How does the Memorization of Neural Networks Impact Adversarial Robust Models? KDD Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
2023	J	`jnl`	INS-GNN: Improving graph imbalance learning with self-supervision. Inf. Sci. Xin Juan, Fengfeng Zhou, Wentao Wang, Wei Jin, Jiliang Tang, Xin Wang
2023	A*	`conf`	Toward Degree Bias in Embedding-Based Knowledge Graph Completion. WWW Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang
2023	J	`jnl`	Toward Degree Bias in Embedding-Based Knowledge Graph Completion. CoRR Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang
2022	J	`jnl`	Enhancing Adversarial Training with Feature Separability. CoRR Yaxin Li, Xiaorui Liu, Han Xu, Wentao Wang, Jiliang Tang
2022	A*	`conf`	Imbalanced Adversarial Training with Reweighting. ICDM Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2022	A	`conf`	Learning from Imbalanced Crowdsourced Labeled Data. SDM Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang
2022	A	`conf`	Obtaining Robust Models from Imbalanced Data. WSDM Wentao Wang
2022	J	`jnl`	Representation Learning From Limited Educational Data With Crowdsourced Labels. IEEE Trans. Knowl. Data Eng. Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu
2022	A*	`conf`	Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. KDD Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang
2021	A*	`conf`	Adversarial Robustness in Deep Learning: From Practices to Theories. KDD Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
2021	J	`jnl`	Imbalanced Adversarial Training with Reweighting. CoRR Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2021	J	`jnl`	Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang
2020	A	`conf`	Global-and-Local Aware Data Generation for the Class Imbalance Problem. SDM Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang
2020	A*	`conf`	Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	—	`conf`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020	J	`jnl`	Representation Learning from Limited Educational Data with Crowdsourced Labels. CoRR Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu
2018	—	`conf`	Discovering Multiple Time Lags of Temporal Dependencies from Fluctuating Events. APWeb/WAIM (2) Wentao Wang, Chunqiu Zeng, Tao Li
2017	J	`jnl`	FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. Knowl. Inf. Syst. Tao Li, Chunqiu Zeng, Wubai Zhou, Wei Xue, Yue Huang, Zheng Liu, Qifeng Zhou, Bin Xia, Qing Wang, Wentao Wang, Xiaolong Zhu
2017	A*	`conf`	FLAP: An End-to-End Event Log Analysis Platform for System Management. KDD Tao Li, Yexi Jiang, Chunqiu Zeng, Bin Xia, Zheng Liu, Wubai Zhou, Xiaolong Zhu, Wentao Wang, Liang Zhang, Jun Wu, Li Xue, Dewei Bao
2016	A	`conf`	DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management. CIKM 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
2016	—	`conf`	Online inference for time-varying temporal dependency discovery from time series. IEEE BigData Chunqiu Zeng, Qing Wang, Wentao Wang, Tao Li, Larisa Shwartz