Hangzhi Guo

16 papers A* 3A 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Designing User-Centric Metrics for Evaluation of Counterfactual Explanations.
CoRR
Firdaus Ahmed Choudhury, Ethan Leicht, Jude Ethan Bislig, Hangzhi Guo, Amulya Yadav
2025 — conf
Have LLMs Reopened the Pandora's Box of AI-Generated Fake News?
NAACL (Long Papers)
Xinyu Wang, Wenbo Zhang, Sai Dileep Koneru, Hangzhi Guo, Bonam Mingole, S. Shyam Sundar, Sarah Rajtmajer, Amulya Yadav
2025 — conf
Watermarking Counterfactual Explanations.
PRICAI (4)
Hangzhi Guo, Firdaus Ahmed Choudhury, Tinghua Chen, Amulya Yadav
2024 J jnl
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI.
CoRR
Hangzhi Guo, Pranav Narayanan Venkit, Eunchae Jang, Mukund Srinath, Wenbo Zhang, Bonam Mingole, Vipul Gupta, Kush R. Varshney, S. Shyam Sundar, Amulya Yadav
2024 J jnl
ReLax: Efficient and Scalable Recourse Explanation Benchmarking using JAX.
J. Open Source Softw.
Hangzhi Guo, Xinchang Xiong, Wenbo Zhang, Amulya Yadav
2024 J jnl
The Reopening of Pandora's Box: Analyzing the Role of LLMs in the Evolving Battle Against AI-Generated Fake News.
CoRR
Xinyu Wang, Wenbo Zhang, Sai Dileep Koneru, Hangzhi Guo, Bonam Mingole, S. Shyam Sundar, Sarah Rajtmajer, Amulya Yadav
2024 J jnl
Watermarking Counterfactual Explanations.
CoRR
Hangzhi Guo, Amulya Yadav
2023 A* conf
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya.
AAAI
Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav
2023 J jnl
A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity.
CoRR
Wenbo Zhang, Hangzhi Guo, Ian D. Kivlichan, Vinodkumar Prabhakaran, Davis Yadav, Amulya Yadav
2023 A* conf
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations.
KDD
Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
2023 A conf
RoCourseNet: Robust Training of a Prediction Aware Recourse Model.
CIKM
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
2022 J jnl
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model.
CoRR
Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav
2021 J jnl
CounterNet: End-to-End Training of Counterfactual Aware Predictions.
CoRR
Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav
2020 A* conf
Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks.
AAAI
Hangzhi Guo, Alexander Woodruff, Amulya Yadav
2019 — conf
An Interactive Play Environment on Mathematics and Cognitive Training with Behavioral Tracking for Children with Autism.
CIC
Pinata Winoto, Jane Jie Chen, Hangzhi Guo, Tiffany Ya Tang
2018 — conf
A Mathematical and Cognitive Training Application for Children with Autism: A System Prototype.
HCI (29)
Pinata Winoto, Jie Chen, Hangzhi Guo, Tiffany Ya Tang