Ligeng Zhu - RankMe

56 papers A* 13Journal 34Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow. CoRR Haocheng Xi, Charlie Ruan, Peiyuan Liao, Yujun Lin, Han Cai, Yilong Zhao, Shuo Yang, Kurt Keutzer, Song Han, Ligeng Zhu
2026	J	`jnl`	Scaling Test-time Inference for Visual Grounding. CoRR Guanqi Zhan, Changye Li, Zhijian Liu, Yao Lu, Yi Wu, Song Han, Ligeng Zhu
2025	A*	`conf`	COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training. ICLR Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han
2025	J	`jnl`	DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space. CoRR Wenkun He, Yuchao Gu, Junyu Chen, Dongyun Zou, Yujun Lin, Zhekai Zhang, Haocheng Xi, Muyang Li, Ligeng Zhu, Jincheng Yu, Junsong Chen, Enze Xie, Song Han, Han Cai
2025	J	`jnl`	DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder. CoRR Junyu Chen, Wenkun He, Yuchao Gu, Yuyang Zhao, Jincheng Yu, Junsong Chen, Dongyun Zou, Yujun Lin, Zhekai Zhang, Muyang Li, Haocheng Xi, Ligeng Zhu, Enze Xie, Song Han, Han Cai
2025	J	`jnl`	Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding. CoRR Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie
2025	J	`jnl`	FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos. CoRR Yulu Gan, Ligeng Zhu, Dandan Shan, Baifeng Shi, Hongxu Yin, Boris Ivanovic, Song Han, Trevor Darrell, Jitendra Malik, Marco Pavone, Boyi Li
2025	A*	`conf`	LongVILA: Scaling Long-Context Visual Language Models for Long Videos. ICLR 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
2025	A*	`conf`	NVILA: Efficient Frontier Visual Language Models. CVPR 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
2025	J	`jnl`	OckBench: Measuring the Efficiency of LLM Reasoning. CoRR Zheng Du, Hao Kang, Song Han, Tushar Krishna, Ligeng Zhu
2025	J	`jnl`	OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM. CoRR Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Ligeng Zhu, Yuanhang Su, Sean Lin, An-Chieh Cheng, Zhen Wan, Jinchuan Tian, Yuming Lou, Dong Yang, Zhijian Liu, Yukang Chen, Ambrish Dantrey, Ehsan Jahangiri, Sreyan Ghosh, Daguang Xu, Ehsan Hosseini-Asl, Danial Mohseni-Taheri, Vidya Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov
2025	A*	`conf`	SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. ICML 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
2025	J	`jnl`	SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. CoRR 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
2025	A*	`conf`	SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers. ICLR Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han
2025	J	`jnl`	Scaling RL to Long Videos. CoRR 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
2025	A*	`conf`	SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity. ICML Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu
2025	J	`jnl`	SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity. CoRR Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Chenfeng Xu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu
2025	A*	`conf`	VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. ICLR Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu
2025	J	`jnl`	Wolf: Dense Video Captioning with a World Summarization Framework. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. CoRR Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han
2024	J	`jnl`	LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR 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
2024	J	`jnl`	NVILA: Efficient Frontier Visual Language Models. CoRR 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
2024	J	`jnl`	SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers. CoRR Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han
2024	J	`jnl`	Tiny Machine Learning: Progress and Futures. CoRR Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han
2024	J	`jnl`	VILA CoRR Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin
2024	J	`jnl`	VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. CoRR Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu
2024	J	`jnl`	Wolf: Captioning Everything with a World Summarization Framework. CoRR 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
2023	A*	`conf`	PockEngine: Sparse and Efficient Fine-tuning in a Pocket. MICRO Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
2023	J	`jnl`	PockEngine: Sparse and Efficient Fine-tuning in a Pocket. CoRR Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Chen Wang, Wei-Ming Chen, Chuang Gan, Song Han
2022	J	`jnl`	Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
2022	J	`jnl`	Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
2022	—	`conf`	Laplacian of Logarithm as Illuminant-Invariant Input Space. CIC Brian V. Funt, Ligeng Zhu
2022	A*	`conf`	On-Device Training Under 256KB Memory. NeurIPS Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
2022	J	`jnl`	On-Device Training Under 256KB Memory. CoRR Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
2021	A*	`conf`	Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. NeurIPS Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han
2021	—	`conf`	IOS: Inter-Operator Scheduler for CNN Acceleration. MLSys Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
2021	—	`conf`	The 2020 Low-Power Computer Vision Challenge. AICAS 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
2020	J	`jnl`	AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han
2020	—	`conf`	DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han
2020	—	`ch.`	Deep Leakage from Gradients. Federated Learning Ligeng Zhu, Song Han
2020	A*	`conf`	HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. ACL Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
2020	J	`jnl`	HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han
2020	J	`jnl`	IOS: Inter-Operator Scheduler for CNN Acceleration. CoRR Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
2020	J	`jnl`	Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning. CoRR Han Cai, Chuang Gan, Ligeng Zhu, Song Han
2020	A*	`conf`	TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning. NeurIPS Han Cai, Chuang Gan, Ligeng Zhu, Song Han
2019	A*	`conf`	Deep Leakage from Gradients. NeurIPS Ligeng Zhu, Zhijian Liu, Song Han
2019	J	`jnl`	Deep Leakage from Gradients. CoRR Ligeng Zhu, Zhijian Liu, Song Han
2019	J	`jnl`	Design Automation for Efficient Deep Learning Computing. CoRR Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin
2019	—	`conf`	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. ICLR (Poster) Han Cai, Ligeng Zhu, Song Han
2019	J	`jnl`	Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes. IEEE Trans. Image Process. Dazhou Guo, Ligeng Zhu, Yuhang Lu, Hongkai Yu, Song Wang
2018	—	`conf`	Colorizing Color Images. HVEI Ligeng Zhu, Brian V. Funt
2018	—	`conf`	Does Colour Really Matter? Evaluation via Object Classification. CIC Brian V. Funt, Ligeng Zhu
2018	J	`jnl`	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. CoRR Han Cai, Ligeng Zhu, Song Han
2018	—	`conf`	Sparsely Aggregated Convolutional Networks. ECCV (12) Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan
2018	J	`jnl`	Sparsely Connected Convolutional Networks. CoRR Ligeng Zhu, Ruizhi Deng, Zhiwei Deng, Greg Mori, Ping Tan
2017	J	`jnl`	Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering. CoRR Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori