Ligeng Zhu

According to our database, Ligeng Zhu authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tiny Machine Learning: Progress and Futures.

Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han

CoRR, 2024

2023

PockEngine: Sparse and Efficient Fine-tuning in a Pocket.

Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications.

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han

ACM Trans. Design Autom. Electr. Syst., 2022

On-Device Training Under 256KB Memory.

Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Laplacian of Logarithm as Illuminant-Invariant Input Space.

Brian V. Funt, Ligeng Zhu

Proceedings of the 30th Color and Imaging Conference, 2022

2021

Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning.

Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

IOS: Inter-Operator Scheduler for CNN Acceleration.

Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han

Proceedings of Machine Learning and Systems 2021, 2021

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Deep Leakage from Gradients.

Ligeng Zhu, Song Han

Proceedings of the Federated Learning - Privacy and Incentive, 2020

AutoML for Architecting Efficient and Specialized Neural Networks.

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han

IEEE Micro, 2020

Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning.

Han Cai, Chuang Gan, Ligeng Zhu, Song Han

CoRR, 2020

TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning.

Han Cai, Chuang Gan, Ligeng Zhu, Song Han

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DataMix: Efficient Privacy-Preserving Edge-Cloud Inference.

Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han

Proceedings of the Computer Vision - ECCV 2020, 2020

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing.

Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes.

Dazhou Guo, Ligeng Zhu, Yuhang Lu, Hongkai Yu, Song Wang

IEEE Trans. Image Process., 2019

Design Automation for Efficient Deep Learning Computing.

Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin

CoRR, 2019

Deep Leakage from Gradients.

Ligeng Zhu, Zhijian Liu, Song Han

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

Han Cai, Ligeng Zhu, Song Han

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Sparsely Connected Convolutional Networks.

Ligeng Zhu, Ruizhi Deng, Zhiwei Deng, Greg Mori, Ping Tan

CoRR, 2018

Does Colour Really Matter? Evaluation via Object Classification.

Brian V. Funt, Ligeng Zhu

Proceedings of the 26th Color and Imaging Conference, 2018

Colorizing Color Images.

Ligeng Zhu, Brian V. Funt

Proceedings of the Human Vision and Electronic Imaging 2018, Burlingame, CA, USA, 28 January 2018, 2018

Sparsely Aggregated Convolutional Networks.

Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering.

Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori

CoRR, 2017