OSU AIoT-MLSys Lab

AIoT-Survey

[TOSN 2024] Artificial Intelligence of Things: A Survey

arch2vec

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

CATE

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

DeepAA

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

Efficient-Diffusion-Model-Survey

[TMLR 2025] Efficient Diffusion Models: A Survey

Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey

Famba-V

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

FedAIoT

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

FedRolex

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

SVD-LLM

[ICLR 2025🔥] SVD-LLM & [NAACL 2025🔥] SVD-LLM V2

AIoT-MLSys-Lab/Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey

AIoT-MLSys-Lab/SVD-LLM

[ICLR 2025🔥] SVD-LLM & [NAACL 2025🔥] SVD-LLM V2

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

[TMLR 2025] Efficient Diffusion Models: A Survey

AIoT-MLSys-Lab/AIoT-Survey

[TOSN 2024] Artificial Intelligence of Things: A Survey

AIoT-MLSys-Lab/DeepAA

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

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

AIoT-MLSys-Lab/FedAIoT

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

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

AIoT-MLSys-Lab/Famba-V

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

AIoT-MLSys-Lab/CATE

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

AIoT-MLSys-Lab/MEDA

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

AIoT-MLSys-Lab/D2O

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

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

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

AIoT-MLSys-Lab/Mercury

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

AIoT-MLSys-Lab/Home.github

AIoT-MLSys-Lab/MutualNet

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

AIoT-MLSys-Lab/NELoRa

[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

AIoT-MLSys-Lab/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.