Online inference for time-varying temporal dependency discovery from time series. - Chunqiu Zeng; Qing Wang 016; Wentao Wang 006; Tao Li 001; Larisa Shwartz (IEEE BigData, 2016)

DI-DAP: An Efficient Disaster Information Delivery and Analysis Platform in Disaster Management. - Tao Li 001; Wubai Zhou; Chunqiu Zeng; Qing Wang 016; Qifeng Zhou; Dingding Wang 001; Jia Xu 003; Yue Huang; Wentao Wang 006; Minjing Zhang; Steven Luis; Shu-Ching Chen; et al. (CIKM, 2016)

FLAP: An End-to-End Event Log Analysis Platform for System Management. - Tao Li 001; Yexi Jiang; Chunqiu Zeng; Bin Xia 003; Zheng Liu 001; Wubai Zhou; Xiaolong Zhu; Wentao Wang 006; Liang Zhang; Jun Wu; Li Xue; Dewei Bao (KDD, 2017)

FIU-Miner (a fast, integrated, and user-friendly system for data mining) and its applications. - Tao Li 001; Chunqiu Zeng; Wubai Zhou; Wei Xue; Yue Huang; Zheng Liu 001; Qifeng Zhou; Bin Xia 003; Qing Wang 016; Wentao Wang 006; Xiaolong Zhu (Knowl. Inf. Syst., 2017)

Discovering Multiple Time Lags of Temporal Dependencies from Fluctuating Events. - Wentao Wang 006; Chunqiu Zeng; Tao Li 001 (APWeb/WAIM (2), 2018)

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. - Haochen Liu; Wentao Wang 006; Yiqi Wang 001; Hui Liu 031; Zitao Liu 001; Jiliang Tang (EMNLP (1), 2020)

Learning from Incomplete Labeled Data via Adversarial Data Generation. - Wentao Wang 006; Tyler Derr; Yao Ma 001; Suhang Wang; Hui Liu 031; Zitao Liu 001; Jiliang Tang (ICDM, 2020)

Global-and-Local Aware Data Generation for the Class Imbalance Problem. - Wentao Wang 006; Suhang Wang; Wenqi Fan; Zitao Liu 001; Jiliang Tang (SDM, 2020)

Adversarial Robustness in Deep Learning: From Practices to Theories. - Han Xu 002; Yaxin Li 001; Xiaorui Liu; Wentao Wang 006; Jiliang Tang (KDD, 2021)

Towards the Memorization Effect of Neural Networks in Adversarial Training. - Han Xu 002; Xiaorui Liu; Wentao Wang 006; Wenbiao Ding; Zhongqin Wu; Zitao Liu 001; Anil K. Jain 001; Jiliang Tang (CoRR, 2021)

Imbalanced Adversarial Training with Reweighting. - Wentao Wang 006; Han Xu 002; Xiaorui Liu; Yaxin Li 001; Bhavani Thuraisingham; Jiliang Tang (ICDM, 2022)

Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks. - Wentao Wang 006; Han Xu 002; Yuxuan Wan; Jie Ren 019; Jiliang Tang (KDD, 2022)

Learning from Imbalanced Crowdsourced Labeled Data. - Wentao Wang 006; Joseph Thekinen; Xiaorui Liu; Zitao Liu 001; Jiliang Tang (SDM, 2022)

Obtaining Robust Models from Imbalanced Data. - Wentao Wang 006 (WSDM, 2022)

Enhancing Adversarial Training with Feature Separability. - Yaxin Li 001; Xiaorui Liu; Han Xu 002; Wentao Wang 006; Jiliang Tang (CoRR, 2022)

Representation Learning From Limited Educational Data With Crowdsourced Labels. - Wentao Wang 006; Guowei Xu; Wenbiao Ding; Gale Yan Huang; Guoliang Li 001; Jiliang Tang; Zitao Liu 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data. - Wentao Wang 006; Harry Shomer; Yuxuan Wan; Yaxin Li 001; Jiangtao Huang; Hui Liu 031 (CIKM, 2023)

How does the Memorization of Neural Networks Impact Adversarial Robust Models? - Han Xu 002; Xiaorui Liu; Wentao Wang 006; Zitao Liu 001; Anil K. Jain 001; Jiliang Tang (KDD, 2023)

Toward Degree Bias in Embedding-Based Knowledge Graph Completion. - Harry Shomer; Wei Jin 009; Wentao Wang 006; Jiliang Tang (WWW, 2023)

INS-GNN: Improving graph imbalance learning with self-supervision. - Xin Juan; Fengfeng Zhou; Wentao Wang 006; Wei Jin 009; Jiliang Tang; Xin Wang 035 (Inf. Sci., 2023)