Publications

Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Squicciarini, Amulya Yadav (2023). RoCourseNet: Robust Training of a Prediction Aware Recourse Model. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23).

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Hangzhi Guo, Thanh H. Nguyen, Amulya Yadav (2023). CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23).

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 Best Paper Runner-up Award @ICML-21 Workshop on Recourse

Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav (2023). A Continual Pre-training Approach to Tele-Triaging Preganant Women in Kenya. Proceedings of the AAAI Conference on Artificial Intelligence.

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 Deployed @ Jacaranda Health

Hangzhi Guo, Lizhen Zhu, Ting-Hao ‘Kenneth’ Huang (2022). Are GANs Biased? Evaluating GAN-Generated Facial Images via Crowdsourcing. Neurips 2022 Workshop on Human Evaluation of Generative Models.

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Hangzhi Guo, Alexander Woodruff, Amulya Yadav (2020). Improving Lives of Indebted Farmers using Deep Learning: Predicting Agricultural Produce Prices using Convolutional Neural Networks. Thirty-Fourth AAAI Conference.

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Pinata Winoto, Jie Chen, Hangzhi Guo, Tiffany Y Tang (2018). A Mathematical and Cognitive Training Application for Children with Autism: A System Prototype. International Conference on Human-Computer Interaction.

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