Hong Huang

According to our database, Hong Huang authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk?

Hongyu Li, Kuan Liu, Yuan Chen, Juntao Hu, Huimin Lu, Guanjie Chen, Xue Liu, Guangming Lu, Hong Huang

CoRR, March, 2026

Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification.

Hong Huang, Decheng Wu, Qiangqiang Hu, Guanghua Yu, Jinhai Yang, Jianchen Zhu, Xue Liu, Dapeng Wu

CoRR, January, 2026

AquaFed: Ascending Quantized Federated Learning on Heterogeneous Devices.

Juntao Hu, Hong Huang, Kuan Liu, Huimin Lu, Bingyi Liu, Dapeng Wu

IEEE Trans. Cloud Comput., 2026

2025

Tequila: Trapping-free Ternary Quantization for Large Language Models.

Hong Huang, Decheng Wu, Rui Cen, Guanghua Yu, Zonghang Li, Kai Liu, Jianchen Zhu, Peng Chen, Xue Liu, Dapeng Wu

CoRR, September, 2025

FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling.

Hong Huang, Hai Yang, Yuan Chen, Jiaxun Ye, Dapeng Oliver Wu

CoRR, January, 2025

FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling.

Hong Huang, Jinhai Yang, Yuan Chen, Jiaxun Ye, Dapeng Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis.

Hong Huang, Dapeng Wu

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

2024

Texture and motion aware perception in-loop filter for AV1.

Tianqi Liu, Hong Huang, Zhijun Lei, Ruogu Fang, Dapeng Oliver Wu

J. Vis. Commun. Image Represent., 2024

FedMef: Towards Memory-Efficient Federated Dynamic Pruning.

Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu

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

2023

Distributed Pruning Towards Tiny Neural Networks in Federated Learning.

Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022

FedTiny: Pruned Federated Learning Towards Specialized Tiny Models.

Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu

CoRR, 2022