Qihao Zhao

According to our database, Qihao Zhao authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

MuseAgent-1: Interactive Grounded Multimodal Understanding of Music Scores and Performance Audio.

Qihao Zhao, Yunqi Cao, Yangyu Huang, Hui Yi Leong, Fan Zhang, Kim-Hui Yap, Wei Hu

CoRR, January, 2026

Demystifying Data Organization for Enhanced LLM Training.

Yalun Dai, Yangyu Huang, Tongshen Yang, Yonghan Wang, Xin Zhang, Wenshan Wu, Qihao Zhao, Hao Li, Yuanyuan Gao, Kim-Hui Yap, Scarlett Li

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

DMRS: Long-tailed remote sensing recognition via semantic-aware mixing and diversity experts.

Yifan Wang, Fan Zhang, Qihao Zhao, Wei Hu, Fei Ma

Int. J. Appl. Earth Obs. Geoinformation, 2025

GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians.

Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PEACE: Empowering Geologic Map Holistic Understanding with MLLMs.

Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Chen, Lei Cui, Scarlett Li, Furu Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark.

Qihao Zhao, Yangyu Huang, Tengchao Lv, Lei Cui, Qinzheng Sun, Shaoguang Mao, Xin Zhang, Ying Xin, Qiufeng Yin, Scarlett Li, Furu Wei

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

OHD: An Online Category-Aware Framework for Learning With Noisy Labels Under Long-Tailed Distribution.

Qihao Zhao, Fan Zhang, Wei Hu, Songhe Feng, Jun Liu

IEEE Trans. Circuits Syst. Video Technol., May, 2024

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark.

Qihao Zhao, Yangyu Huang, Tengchao Lv, Lei Cui, Qinzheng Sun, Shaoguang Mao, Xingxing Zhang, Ying Xin, Qiufeng Yin, Scarlett Li, Furu Wei

CoRR, 2024

Research on Fire Smoke Detection Algorithm Based on Improved YOLOv8.

Tianxin Zhang, Fuwei Wang, Weimin Wang, Qihao Zhao, Weijun Ning, Haodong Wu

IEEE Access, 2024

LTRL: Boosting Long-Tail Recognition via Reflective Learning.

Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang, Jun Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

LTGC: Long-Tail Recognition via Leveraging LLMs-Driven Generated Content.

Qihao Zhao, Yalun Dai, Hao Li, Wei Hu, Fan Zhang, Jun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer.

Qihao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, Jun Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition.

Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss.

Qihao Zhao, Wei Hu, Yangyu Huang, Fan Zhang

Neural Networks, 2021

2020

P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions.

Wei Hu, Qihao Zhao, Yangyu Huang, Fan Zhang

Proceedings of the 25th International Conference on Pattern Recognition, 2020