Qin, Haotong

Binary Neural Networks: A Survey

Qin, H., Gong, R., Liu, X., Bai, X., Song, J., & Sebe, N. (2020) · Pattern Recognition

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 546

Towards Accurate Post-Training Quantization for Vision Transformer

Ding, Y., Qin, H., Yan, Q., Chai, Z., Liu, J., Wei, X., & Liu, X. (2022) · Proceedings of the 30th ACM International Conference on Multimedia

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 79

BiBench: Benchmarking and Analyzing Network Binarization

Qin, H., Zhang, M., Ding, Y., Li, A., Cai, Z., Liu, Z., Yu, F., & Liu, X. (2023) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 34

BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Huang, W., Liu, Y., Qin, H., Li, Y., Zhang, S., Liu, X., Magno, M., & Qi, X. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 33

A survey of low-bit large language models: Basics, systems, and algorithms

Gong, R., Ding, Y., Wang, Z., Lv, C., Zheng, X., Du, J., Yong, Y., Gu, S., Qin, H., Guo, J., et al. (2025) · Neural Networks

Advanced Neural Network ApplicationsTopic Modeling

Cited by 16

LEDNet: a multimodal foundation model for robust deepfake detection

Tao, R., Tang, S., Qin, H., Wang, W., Wei, Y., & Zhao, Y. (2025) · Science China Information Sciences

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 9

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms

Gong, R., Ding, Y., Wang, Z., Lv, C., Zheng, X., Du, J., Qin, H., Guo, J., Magno, M., & Liu, X. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 4

ARB-LLM: Alternating Refined Binarizations for Large Language Models

Li, Z., Yan, X., Zhang, T., Qin, H., Xie, D., Tian, J., shi, Z., Kong, L., Zhang, Y., & Yang, X. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 1