Ligeng Zhu

According to our database, Ligeng Zhu authored at least 31 papers between 2017 and 2025.

Collaborative distances:

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

2025

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.

Enze Xie, Junsong Chen, Yuyang Zhao, Jincheng Yu, Ligeng Zhu, Yujun Lin, Zhekai Zhang, Muyang Li, Junyu Chen, Han Cai, Bingchen Liu, Daquan Zhou, Song Han

CoRR, January, 2025

2024

NVILA: Efficient Frontier Visual Language Models.

Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

CoRR, 2024

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training.

Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

CoRR, 2024

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

CoRR, 2024

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.

Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu

CoRR, 2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CoRR, 2024

Wolf: Captioning Everything with a World Summarization Framework.

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

CoRR, 2024

VILA²: VILA Augmented VILA.

Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin

CoRR, 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 the Fourth Conference on Machine Learning and Systems, 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