Liu, Zhijian

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

He, Y., Lin, J., Liu, Z., Wang, H., Li, L.-J., & Han, S. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 1,400

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

HAQ: Hardware-Aware Automated Quantization With Mixed Precision

Wang, K., Liu, Z., Lin, Y., Lin, J., & Han, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 978

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

Wang, H., Wu, Z., Liu, Z., Cai, H., Zhu, L., Gan, C., & Han, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Advanced Neural Network ApplicationsTopic Modeling

Cited by 227

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Li, M., Lin, J., Ding, Y., Liu, Z., Zhu, J.-Y., & Han, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 216

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

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

Ye, H., Gao, Z., Ma, M., Wang, Q., Fu, Y., Chung, M.-Y., Lin, Y., Liu, Z., Zhang, J., Zhuo, D., et al. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 4

STORM: Token-Efficient Long Video Understanding for Multimodal LLMs

Jiang, J., Li, X., Liu, Z., Li, M., Chen, G., Li, Z., Huang, D.-A., Liu, G., Yu, Z., Keutzer, K., et al. (2025) · 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 2

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