Zhu, Ligeng

17 publications

ICLR 2025 COAT: Compressing Optimizer States and Activations for Memory-Efficient FP8 Training Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

ICLR 2025 LongVILA: Scaling Long-Context Visual Language Models for Long Videos Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CVPR 2025 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, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

ICML 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

ICLR 2025 SANA: Efficient High-Resolution Text-to-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

NeurIPS 2025 Scaling RL to Long Videos Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han

ICML 2025 SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu

ICLR 2025 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

TMLR 2025 Wolf: Dense Video Captioning 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, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

NeurIPSW 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

NeurIPS 2022 On-Device Training Under 256KB Memory Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han

NeurIPS 2021 Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han

ECCV 2020 DataMix: Efficient Privacy-Preserving Edge-Cloud Inference Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han

NeurIPS 2020 TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning Han Cai, Chuang Gan, Ligeng Zhu, Song Han

NeurIPS 2019 Deep Leakage from Gradients Ligeng Zhu, Zhijian Liu, Song Han

ICLR 2019 ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai, Ligeng Zhu, Song Han

ECCV 2018 Sparsely Aggregated Convolutional Networks Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan