A Mathematical and Cognitive Training Application for Children with Autism: A System Prototype. - Pinata Winoto; Jie Chen; Hangzhi Guo; Tiffany Ya Tang (HCI (29), 2018)

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 (CIC, 2019)

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

CounterNet: End-to-End Training of Counterfactual Aware Predictions. - Hangzhi Guo; Thanh Hong Nguyen; Amulya Yadav (CoRR, 2021)

RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. - Hangzhi Guo; Feiran Jia; Jinghui Chen; Anna Cinzia Squicciarini; Amulya Yadav (CoRR, 2022)

A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. - Wenbo Zhang 008; Hangzhi Guo; Prerna Ranganathan; Jay Patel; Sathyanath Rajasekharan; Nidhi Danayak; Manan Gupta; Amulya Yadav (AAAI, 2023)

RoCourseNet: Robust Training of a Prediction Aware Recourse Model. - Hangzhi Guo; Feiran Jia; Jinghui Chen; Anna Cinzia Squicciarini; Amulya Yadav (CIKM, 2023)

CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. - Hangzhi Guo; Thanh Hong Nguyen; Amulya Yadav (KDD, 2023)

A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity. - Wenbo Zhang 008; Hangzhi Guo; Ian D. Kivlichan; Vinodkumar Prabhakaran; Davis Yadav; Amulya Yadav (CoRR, 2023)

Watermarking Counterfactual Explanations. - Hangzhi Guo; 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 008; Bonam Mingole; Vipul Gupta; Kush R. Varshney; S. Shyam Sundar; Amulya Yadav (CoRR, 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 008; Sai Dileep Koneru; Hangzhi Guo; Bonam Mingole; S. Shyam Sundar; Sarah Rajtmajer; Amulya Yadav (CoRR, 2024)

ReLax: Efficient and Scalable Recourse Explanation Benchmarking using JAX. - Hangzhi Guo; Xinchang Xiong; Wenbo Zhang 008; Amulya Yadav (J. Open Source Softw., 2024)

Have LLMs Reopened the Pandora's Box of AI-Generated Fake News? - Xinyu Wang; Wenbo Zhang 008; Sai Dileep Koneru; Hangzhi Guo; Bonam Mingole; S. Shyam Sundar; Sarah Rajtmajer; Amulya Yadav (NAACL (Long Papers), 2025)

Designing User-Centric Metrics for Evaluation of Counterfactual Explanations. - Firdaus Ahmed Choudhury; Ethan Leicht; Jude Ethan Bislig; Hangzhi Guo; Amulya Yadav (CoRR, 2025)