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ORCIDYunqi Hong
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2020 – today
- 2026
[i10]Yunqi Hong, Kuei-Chun Kao, Hengguang Zhou, Cho-Jui Hsieh:
Understanding Reward Hacking in Text-to-Image Reinforcement Learning. CoRR abs/2601.03468 (2026)- [i9]Tong Xie, Yuanhao Ban, Yunqi Hong, Sohyun An, Yihang Chen, Cho-Jui Hsieh:
A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design. CoRR abs/2606.11189 (2026) - [i8]Yuanhao Ban, Tong Xie, Sohyun An, Yunqi Hong, Evan Frick, I-Hung Hsu, Wei-Lin Chiang, Ion Stoica, Cho-Jui Hsieh:
Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist. CoRR abs/2606.31711 (2026) - 2025
- [c2]Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong, Ruochen Wang, Cho-Jui Hsieh:
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models. EMNLP 2025: 28445-28460 - [i7]Yunqi Hong, Sohyun An, Andrew Bai, Neil Y. C. Lin, Cho-Jui Hsieh:
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs. CoRR abs/2506.03195 (2025) - [i6]Yihang Chen, Yuanhao Ban, Yunqi Hong, Cho-Jui Hsieh:
IRIS: Intrinsic Reward Image Synthesis. CoRR abs/2509.25562 (2025) - [i5]Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong, Ruochen Wang, Cho-Jui Hsieh:
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models. CoRR abs/2511.03206 (2025) - [i4]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:
Uncertainty-Guided Selective Adaptation Enables Cross-Platform Predictive Fluorescence Microscopy. CoRR abs/2511.12006 (2025) - [i3]Yunqi Hong, Johnson Kao, Liam Edwards, Nein-Tzu Liu, Chung-Yen Huang
, Alex Oliveira-Kowaleski, Cho-Jui Hsieh, Neil Y. C. Lin:
Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models. CoRR abs/2511.12008 (2025) - [i2]Tong Xie, Andrew Bai, Yuanhao Ban, Yunqi Hong, Haoyu Li, Cho-Jui Hsieh:
When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models. CoRR abs/2512.06343 (2025) - 2023
- [c1]Yunqi Hong, Wei Ye:
Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative Features. ICDM (Workshops) 2023: 1493-1499 - 2022
- [i1]Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh:
Graph Neural Diffusion Networks for Semi-supervised Learning. CoRR abs/2201.09698 (2022)
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