AIoT-MLSys-Lab/Efficient-Diffusion-Model-Survey

[TMLR 2025] Efficient Diffusion Models: A Survey

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AIoT-MLSys-Lab/Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey

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AIoT-MLSys-Lab/D2O

[ICLR 2025🔥] D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models

Language: Python - Size: 23.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 0

AIoT-MLSys-Lab/SVD-LLM

Official Code for "SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression"

Language: Python - Size: 744 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 135 - Forks: 10

AIoT-MLSys-Lab/MEDA

[NAACL 2025🔥] Official implementation of "MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference"

Language: Python - Size: 23.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

AIoT-MLSys-Lab/AIoT-MLSys-Lab.github.io

Homepage of OSU AIoT and MLSys Lab

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AIoT-MLSys-Lab/DeepAA

[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

Language: Python - Size: 1.01 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 62 - Forks: 3

AIoT-MLSys-Lab/AIoT-Survey

[TOSN 2024] Artificial Intelligence of Things: A Survey

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AIoT-MLSys-Lab/Famba-V

[2024 ECCV Workshop] Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion

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AIoT-MLSys-Lab/FedAIoT

[DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

Language: Python - Size: 48.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 46 - Forks: 8

AIoT-MLSys-Lab/FedRolex

[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang

Language: Python - Size: 928 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 57 - Forks: 14

AIoT-MLSys-Lab/Distream

[SenSys 2020] "Distream: Scaling Live Video Analytics with Workload-Adaptive Distributed Edge Intelligence" by Xiao Zeng, Biyi Fang, Haichen Shen, Mi Zhang

Language: Go - Size: 17.6 KB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 4

AIoT-MLSys-Lab/arch2vec

[NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

Language: Python - Size: 494 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 49 - Forks: 10

AIoT-MLSys-Lab/CATE

[ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

Language: Python - Size: 170 KB - Last synced at: 12 months ago - Pushed at: almost 4 years ago - Stars: 18 - Forks: 5

AIoT-MLSys-Lab/Home.github

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AIoT-MLSys-Lab/Mercury

[SenSys 2021] "Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling" by Xiao Zeng, Ming Yan, Mi Zhang

Language: Python - Size: 15.6 KB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

AIoT-MLSys-Lab/NELoRa-Sensys Fork of hanqingguo/NELoRa-Sensys

[SenSys 2021] "NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation" by Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, Yunhao Liu

Language: MATLAB - Size: 41.8 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

AIoT-MLSys-Lab/PyramidFL Fork of liecn/PyramidFL

[MobiCom 2022] " PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Chenning Li, Xiao Zeng, Mi Zhang, and Zhichao Cao.

Size: 71.1 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AIoT-MLSys-Lab/MutualNet Fork of taoyang1122/MutualNet

[ECCV 2020 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

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AIoT-MLSys-Lab/MSUNet

[NeurIPS 2019 Google MicroNet Challenge] MSUNet is an efficient model that won the 4th place in the Google MicroNet Challenge CIFAR-100 Track hosted at NeurIPS 2019 designed by Yu Zheng, Shen Yan, Mi Zhang

Language: Python - Size: 24.8 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 3