Lin, Ji
Tony
9 papers on CoChatORCID 0000-0001-6053-4344
Most cited papers
- Verified
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
- Verified
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
- Verified
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
- Verified
Joint Monocular 3D Vehicle Detection and Tracking
Hu, H.-N., Cai, Q.-Z., Wang, D., Lin, J., Sun, M., Kraehenbuehl, P., Darrell, T., & Yu, F. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Autonomous Vehicle Technology and SafetyVideo Surveillance and Tracking Methods
Cited by 249
- Verified
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Xiao, G., Lin, J., Seznec, M., Wu, H., Demouth, J., & Han, S. (2022) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 247
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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
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GPT-4o System Card
OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 180
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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
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OpenAI GPT-5 System Card
Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 26
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