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DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction


Mar 11, 2022
Buyun Zhang, Liang Luo, Xi Liu, Jay Li, Zeliang Chen, Weilin Zhang, Xiaohan Wei, Yuchen Hao, Michael Tsang, Wenjun Wang, Yang Liu, Huayu Li, Yasmine Badr, Jongsoo Park, Jiyan Yang, Dheevatsa Mudigere, Ellie Wen


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Interpretable Artificial Intelligence through the Lens of Feature Interaction


Mar 01, 2021
Michael Tsang, James Enouen, Yan Liu


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U-LanD: Uncertainty-Driven Video Landmark Detection


Feb 02, 2021
Mohammad H. Jafari, Christina Luong, Michael Tsang, Ang Nan Gu, Nathan Van Woudenberg, Robert Rohling, Teresa Tsang, Purang Abolmaesumi


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Interpretable Deepfake Detection via Dynamic Prototypes


Jun 28, 2020
Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu


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Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection


Jun 19, 2020
Michael Tsang, Dehua Cheng, Hanpeng Liu, Xue Feng, Eric Zhou, Yan Liu

* Published in ICLR 2020 

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How does this interaction affect me? Interpretable attribution for feature interactions


Jun 19, 2020
Michael Tsang, Sirisha Rambhatla, Yan Liu


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Extracting Interpretable Concept-Based Decision Trees from CNNs


Jun 16, 2019
Conner Chyung, Michael Tsang, Yan Liu

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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Can I trust you more? Model-Agnostic Hierarchical Explanations


Dec 12, 2018
Michael Tsang, Youbang Sun, Dongxu Ren, Yan Liu


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Detecting Statistical Interactions from Neural Network Weights


Feb 27, 2018
Michael Tsang, Dehua Cheng, Yan Liu

* Published in ICLR 2018 

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