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LEI LU
LEI LU
PhD Candidate in Northeastern University
Verified email at northeastern.edu
Title
Cited by
Cited by
Year
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
X Shen, P Dong, L Lu, Z Kong, Z Li, M Lin, C Wu, Y Wang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18944 …, 2024
192024
Packqvit: Faster sub-8-bit vision transformers via full and packed quantization on the mobile
P Dong, L Lu, C Wu, C Lyu, G Yuan, H Tang, Y Wang
Advances in Neural Information Processing Systems 36, 2024
162024
EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge
X Shen, Z Kong, C Yang, Z Han, L Lu, P Dong, C Lyu, C Li, X Guo, Z Shu, ...
arXiv preprint arXiv:2402.10787, 2024
122024
SADOE: Sequential‐based angle‐Doppler off‐grid estimation with coprime sampling structures for space‐time adaptive processing
B Li, L Lu, C Zhou
IET Radar, Sonar & Navigation 15 (7), 775-787, 2021
72021
Off-grid angle-Doppler estimation for space-time adaptive processing: A sequential approach
L Lu, C Zhou, Z Shi, J Chen
2019 IEEE/CIC International Conference on Communications in China (ICCC …, 2019
62019
HotaQ: Hardware Oriented Token Adaptive Quantization for Large Language Models
X Shen, Z Han, L Lu, Z Kong, P Dong, Z Li, Y Xie, C Wu, M Leeser, P Zhao, ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024
22024
All-in-One Tuning and Structural Pruning for Domain-Specific LLMs
L Lu, Z Wang, R Bao, M Wang, F Li, Y Wu, W Jiang, J Xu, Y Wang, S Gao
arXiv preprint arXiv:2412.14426, 2024
2024
Fully Open Source Moxin-7B Technical Report
P Zhao, X Shen, Z Kong, Y Shen, SE Chang, T Rupprecht, L Lu, E Nan, ...
arXiv preprint arXiv:2412.06845, 2024
2024
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression
L Lu, Y Xie, W Jiang, W Wang, X Lin, Y Wang
Proceedings of the 32nd ACM International Conference on Multimedia, 3010-3018, 2024
2024
Digital avatars: framework development and their evaluation
T Rupprecht, SE Chang, Y Wu, L Lu, E Nan, C Li, C Lai, Z Li, Z Hu, Y He, ...
arXiv preprint arXiv:2408.04068, 2024
2024
FasterVD: on acceleration of video diffusion models
P Yu, D Luo, T Rupprecht, L Lu, Z Kong, P Zhao, Y Li, O Camps, X Lin, ...
Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024
2024
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