Tang, Haotian

Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation

Liu, Z., Tang, H., Amini, A., Yang, X., Mao, H., Rus, D. L., & Han, S. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 1,307

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration

Lin, J., Tang, J., Tang, H., Yang, S., Xiao, G., & Han, S. (2025) · GetMobile: Mobile Computing and Communications

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 274

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Lin, J., Tang, J., Tang, H., Yang, S., Chen, W.-M., Wang, W.-C., Xiao, G., Dang, X., Gan, C., & Han, S. (2023) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 103

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Chen, Y., Qian, S., Tang, H., Lai, X., Liu, Z., Han, S., & Jia, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 50

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Chen, Y., Xue, F., Li, D., Hu, Q., Zhu, L., Li, X., Fang, Y., Tang, H., Yang, S., Liu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2