Lin, Ji - Citegraph

Author Info

Name	Affiliation	Papers
LIN, JI	Tsinghua Univ, Dept Automat, Beijing, Peoples R China	20
Collaborators	Citations	PageRank
35	79	8.18
Referers	Referees	References
328	853	285

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100853

Publications (20 rows)

Collaborators (35 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications	1	0.41	2022
Network Augmentation for Tiny Deep Learning	0	0.34	2022
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices	3	0.40	2022
Anycost GANs for Interactive Image Synthesis and Editing	1	0.35	2021
Memory-efficient Patch-based Inference for Tiny Deep Learning.	0	0.34	2021
Gan Compression: Efficient Architectures For Interactive Conditional Gans	9	0.56	2020
AutoML for Architecting Efficient and Specialized Neural Networks	2	0.37	2020
Lite Transformer with Long-Short Range Attention	0	0.34	2020
MCUNet: Tiny Deep Learning on IoT Devices	0	0.34	2020
Differentiable Augmentation for Data-Efficient GAN Training	0	0.34	2020
Hardware-Centric Automl For Mixed-Precision Quantization	2	0.37	2020
Apq: Joint Search For Network Architecture, Pruning And Quantization Policy	4	0.39	2020
Runtime Network Routing for Efficient Image Classification.	4	0.51	2019
Haq: Hardware-Aware Automated Quantization With Mixed Precision	26	0.78	2019
Design Automation for Efficient Deep Learning Computing.	2	0.36	2019
Defensive Quantization: When Efficiency Meets Robustness.	6	0.40	2019
HAQ: Hardware-Aware Automated Quantization.	7	0.42	2018
Reinforcement Learning from Imperfect Demonstrations.	12	0.50	2018
Temporal Shift Module for Efficient Video Understanding.	0	0.34	2018
Runtime Neural Pruning.	0	0.34	2017