Liu, Xianglong

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

Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments

Bai, X., Wang, X., Liu, X., Liu, Q., Song, J., Sebe, N., & Kim, B. (2021) · Pattern Recognition

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 313

Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length

Wang, X., Gao, L., Wang, P., Sun, X., & Liu, X. (2018) · IEEE Transactions on Multimedia

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 263

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts

Zhang, C., Zhang, M., Zhang, S., Jin, D., Zhou, Q., Cai, Z., Zhao, H., Liu, X., & Liu, Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 107

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