Yunqi Hong

According to our database, Yunqi Hong authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Understanding Reward Hacking in Text-to-Image Reinforcement Learning.

Yunqi Hong, Kuei-Chun Kao, Hengguang Zhou, Cho-Jui Hsieh

CoRR, January, 2026

2025

When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models.

Tong Xie, Andrew Bai, Yuanhao Ban, Yunqi Hong, Haoyu Li, Cho-Jui Hsieh

CoRR, December, 2025

Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models.

Yunqi Hong, Johnson Kao, Liam Edwards, Nein-Tzu Liu, Chung-Yen Huang, Alex Oliveira-Kowaleski, Cho-Jui Hsieh, Neil Y. C. Lin

CoRR, November, 2025

Uncertainty-Guided Selective Adaptation Enables Cross-Platform Predictive Fluorescence Microscopy.

Kai-Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho-Jui Hsieh, Neil Y. C. Lin

CoRR, November, 2025

IRIS: Intrinsic Reward Image Synthesis.

Yihang Chen, Yuanhao Ban, Yunqi Hong, Cho-Jui Hsieh

CoRR, September, 2025

Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs.

Yunqi Hong, Sohyun An, Andrew Bai, Neil Y. C. Lin, Cho-Jui Hsieh

CoRR, June, 2025

QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models.

Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong, Ruochen Wang, Cho-Jui Hsieh

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features.

Yunqi Hong, Wei Ye

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Graph Neural Diffusion Networks for Semi-supervised Learning.

Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh

CoRR, 2022