Hou, Lu

TernaryBERT: Distillation-aware Ultra-low Bit BERT

Zhang, W., Hou, L., Yin, Y., Shang, L., Chen, X., Jiang, X., & Liu, Q. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 150

DynaBERT: Dynamic BERT with Adaptive Width and Depth

Hou, L., Huang, Z., Shang, L., Jiang, X., Chen, X., & Liu, Q. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 143

Loss-aware Weight Quantization of Deep Networks

Hou, L., & Kwok, J. T. (2018) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 99

BinaryBERT: Pushing the Limit of BERT Quantization

Bai, H., Zhang, W., Hou, L., Shang, L., Jin, J., Jiang, X., Liu, Q., Lyu, M., & King, I. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 42

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Ren, S., Chen, S., Li, S., Sun, X., & Hou, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 20

Extending Context Window of Large Language Models via Semantic Compression

Fei, W., Niu, X., Zhou, P., Hou, L., Bai, B., Deng, L., & Han, W. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 20

FlatQuant: Flatness Matters for LLM Quantization

Sun, Y., Liu, R., Bai, H., Bao, H., Zhao, K., Li, Y., Hu, J., Yu, X., Hou, L., Yuan, C., et al. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 4

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models

Liu, R., Sun, Y., Zhang, M., Bai, H., Yu, X., Yu, T., Yuan, C., & Hou, L. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0