Hangzhi Guo

According to our database, Hangzhi Guo authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ReLax: Efficient and Scalable Recourse Explanation Benchmarking using JAX.

Hangzhi Guo, Xinchang Xiong, Wenbo Zhang, Amulya Yadav

J. Open Source Softw., 2024

The Reopening of Pandora's Box: Analyzing the Role of LLMs in the Evolving Battle Against AI-Generated Fake News.

Xinyu Wang, Wenbo Zhang, Sai Dileep Koneru, Hangzhi Guo, Bonam Mingole, S. Shyam Sundar, Sarah Rajtmajer, Amulya Yadav

CoRR, 2024

Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI.

Hangzhi Guo, Pranav Narayanan Venkit, Eunchae Jang, Mukund Srinath, Wenbo Zhang, Bonam Mingole, Vipul Gupta, Kush R. Varshney, S. Shyam Sundar, Amulya Yadav

CoRR, 2024

Watermarking Counterfactual Explanations.

Hangzhi Guo, Amulya Yadav

CoRR, 2024

2023

A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity.

Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav

CoRR, 2023

CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations.

Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RoCourseNet: Robust Training of a Prediction Aware Recourse Model.

Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya.

Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model.

Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav

CoRR, 2022

2021

CounterNet: End-to-End Training of Counterfactual Aware Predictions.

Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav

CoRR, 2021

2020

Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks.

Hangzhi Guo, Alexander Woodruff, Amulya Yadav

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Interactive Play Environment on Mathematics and Cognitive Training with Behavioral Tracking for Children with Autism.

Pinata Winoto, Jane Jie Chen, Hangzhi Guo, Tiffany Ya Tang

Proceedings of the 5th IEEE International Conference on Collaboration and Internet Computing, 2019

2018

A Mathematical and Cognitive Training Application for Children with Autism: A System Prototype.

Pinata Winoto, Jie Chen, Hangzhi Guo, Tiffany Ya Tang

Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018