Liu, Zhijian

27 publications

NeurIPS 2025 KVCOMM: Online Cross-Context KV-Cache Communication for Efficient LLM-Based Multi-Agent Systems Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen

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

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

ICCV 2025 SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference Samir Khaki, Junxian Guo, Jiaming Tang, Shang Yang, Yukang Chen, Konstantinos N. Plataniotis, Yao Lu, Song Han, Zhijian Liu

ICCV 2025 StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation Akio Kodaira, Chenfeng Xu, Toshiki Hazama, Takanori Yoshimoto, Kohei Ohno, Shogo Mitsuhori, Soichi Sugano, Hanying Cho, Zhijian Liu, Masayoshi Tomizuka, Kurt Keutzer

CVPR 2025 VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie Harmon, Benjamin Simon, Greg Heinrich, Stephen Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu

ICLR 2024 LongLoRA: Efficient Fine-Tuning of Long-Context Large Language Models Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia

CVPR 2024 Point Transformer V3: Simpler Faster Stronger Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao

ECCV 2024 Sparse Refinement for Efficient High-Resolution Semantic Segmentation Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han

CVPR 2023 FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han

ICCV 2023 MapPrior: Bird's-Eye View mAP Layout Estimation with Generative Models Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang

CVPR 2023 SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han

CVPRW 2023 TorchSparse++: Efficient Point Cloud Engine Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

ICCV 2021 LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han

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

NeurIPS 2020 Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han

ICLR 2020 Lite Transformer with Long-Short Range Attention Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han

ECCV 2020 Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han

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

NeurIPS 2019 Point-Voxel CNN for Efficient 3D Deep Learning Zhijian Liu, Haotian Tang, Yujun Lin, Song Han

ICLR 2019 Unsupervised Discovery of Parts, Structure, and Dynamics Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ECCV 2018 AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han

NeurIPS 2018 Learning to Exploit Stability for 3D Scene Parsing Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu

ECCV 2018 Physical Primitive Decomposition Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

AAAI 2018 PoseHD: Boosting Human Detectors Using Human Pose Information Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu