Ligeng Zhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Language Processing

Neural Architecture

Top Venues

Publications

Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone
Wolf: Captioning Everything with a World Summarization Framework. CoRR (2024)
Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin
: VILA Augmented VILA. CoRR (2024)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han
Tiny Machine Learning: Progress and Futures. CoRR (2024)
Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Chen Wang, Wei-Ming Chen, Chuang Gan, Song Han
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. CoRR (2023)
Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. MICRO (2023)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
On-Device Training Under 256KB Memory. CoRR (2022)
Brian V. Funt, Ligeng Zhu
Laplacian of Logarithm as Illuminant-Invariant Input Space. CIC (2022)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. 27 (3) (2022)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR (2022)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
On-Device Training Under 256KB Memory. NeurIPS (2022)
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
IOS: Inter-Operator Scheduler for CNN Acceleration. MLSys (2021)
Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. NeurIPS (2021)
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
The 2020 Low-Power Computer Vision Challenge. AICAS (2021)
Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) (2020)
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
IOS: Inter-Operator Scheduler for CNN Acceleration. CoRR (2020)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han
AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro 40 (1) (2020)
Han Cai, Chuang Gan, Ligeng Zhu, Song Han
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning. NeurIPS (2020)
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. ACL (2020)
Han Cai, Chuang Gan, Ligeng Zhu, Song Han
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning. CoRR (2020)
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR (2020)
Ligeng Zhu, Zhijian Liu, Song Han
Deep Leakage from Gradients. CoRR (2019)
Dazhou Guo, Ligeng Zhu, Yuhang Lu, Hongkai Yu, Song Wang
Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes. IEEE Trans. Image Process. 28 (6) (2019)
Ligeng Zhu, Zhijian Liu, Song Han
Deep Leakage from Gradients. NeurIPS (2019)
Han Cai, Ligeng Zhu, Song Han
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. ICLR (Poster) (2019)
Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin
Design Automation for Efficient Deep Learning Computing. CoRR (2019)
Ligeng Zhu, Ruizhi Deng, Zhiwei Deng, Greg Mori, Ping Tan
Sparsely Connected Convolutional Networks. CoRR (2018)
Brian V. Funt, Ligeng Zhu
Does Colour Really Matter? Evaluation via Object Classification. CIC (2018)
Ligeng Zhu, Brian V. Funt
Colorizing Color Images. HVEI (2018)
Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan
Sparsely Aggregated Convolutional Networks. ECCV (12) (2018)
Han Cai, Ligeng Zhu, Song Han
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. CoRR (2018)
Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori
Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering. CoRR (2017)