Zhijian Liu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 83

Top Topics

Boundary Element Method

Fed Induction Generator

Top Venues

Publications

Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. CoRR (2024)
Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. ICLR (2024)
Vlas Zyrianov, Henry Che, Zhijian Liu, Shenlong Wang
LidarDM: Generative LiDAR Simulation in a Generated World. CoRR (2024)
Akio Kodaira, Chenfeng Xu, Toshiki Hazama, Takanori Yoshimoto, Kohei Ohno, Shogo Mitsuhori, Soichi Sugano, Hanying Cho, Zhijian Liu, Kurt Keutzer
StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation. CoRR (2023)
Zhijian Liu, Nian Cai, Wensheng Ouyang, Chengbin Zhang, Nili Tian, Han Wang
CA-CentripetalNet: a novel anchor-free deep learning framework for hardhat wearing detection. Signal Image Video Process. 17 (8) (2023)
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. ICRA (2023)
Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao
Point Transformer V3: Simpler, Faster, Stronger. CoRR (2023)
Zhijian Liu, Nian Cai, Wensheng Ouyang, Chengbin Zhang, Nili Tian, Han Wang
CA-CentripetalNet: A novel anchor-free deep learning framework for hardhat wearing detection. CoRR (2023)
Zhijian Liu, Wenguang Chen, Li Peng, Liang Zheng, Shuang Wen
An Improved IPOS LLC Resonant Converter With Sub-Module Output Voltage Sharing in Low Ripple High-Voltage Applications. IEEE Access 11 (2023)
Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CVPR (2023)
Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CoRR (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops (2023)
Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CoRR (2023)
Hongzhi Wei, Yuqian Yang, Zhijian Liu
Preschool education optimization based on mobile edge computing under COVID-19. Expert Syst. J. Knowl. Eng. 40 (4) (2023)
Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. ICCV (2023)
Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models. CoRR (2023)
Liefan Wu, Nian Cai, Zhijian Liu, An Yuan, Han Wang
A one-stage deep learning framework for automatic detection of safety harnesses in high-altitude operations. Signal Image Video Process. 17 (1) (2023)
Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CVPR (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO (2023)
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han
Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. World Sci. Annu. Rev. Artif. Intell. 1 (2023)
Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. CoRR (2023)
Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution. CoRR (2022)
Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han
PVNAS: 3D Neural Architecture Search With Point-Voxel Convolution. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. CoRR (2022)
Feng Wang, Zhijian Liu, Xiaojing Ren, Sen Wu, Meilin Meng, Yulin Wang, Xinxiang Pan
A Novel Method for Detecting Ferromagnetic Wear Debris with High Flow Velocity. Sensors 22 (13) (2022)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA (2022)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (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)
Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR (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)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. MLSys (2022)
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus
Efficient and Robust LiDAR-Based End-to-End Navigation. CoRR (2021)
Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela L. Rus
Efficient and Robust LiDAR-Based End-to-End Navigation. ICRA (2021)
Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. ICCV (2021)
Liqing Gao, Haibo Li, Zhijian Liu, Zekang Liu, Liang Wan, Wei Feng
RNN-Transducer based Chinese Sign Language Recognition. Neurocomputing 434 (2021)
Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. CoRR (2021)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR (2021)
Zhijian Liu, Jiaming Gao, Tianze Wu, Sen Wu, Zixiao Fan, Ziyi Yuan, Yongxin Song, Xinxiang Pan
Probing zeta potential of glass in electrolyte solutions by colloidal probe technique. NEMS (2021)
Delu Li, Zhijian Liu, Kailiang Zhang, Shaolong Hao
Harmonic Detection Method of Three-Phase Four-Wire APF Based on p-q-r Without Voltage-Sensor. SimuTools (2021)
Zhijian Liu, Haotian Tang, Sibo Zhu, Song Han
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss. IROS (2021)
Delu Li, Zhijian Liu, Kailiang Zhang
Space Vector Modulation Strategy and Related Improvement Technology of Matrix Converter. SimuTools (2021)
Delu Li, En Fang, Zhijian Liu, Kailiang Zhang
Predictive Current Control of the Three-Level Four-Leg Active Filter Based on In-Phase Carrier Modulation. SimuTools (2021)
Duofa Ji, Weidong Lei, Zhijian Liu
Finite element method and boundary element method iterative coupling algorithm for 2-D elastodynamic analysis. Comput. Appl. Math. 39 (3) (2020)
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
Differentiable Augmentation for Data-Efficient GAN Training. CoRR (2020)
Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) (2020)
Jiangbei Han, Zhijian Liu, Ning Liang
Nonlinear Adaptive Robust Control Strategy of Doubly Fed Induction Generator Based on Virtual Synchronous Generator. IEEE Access 8 (2020)
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
Lite Transformer with Long-Short Range Attention. CoRR (2020)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. 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)
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CVPR (2020)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CVPR (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)
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
Differentiable Augmentation for Data-Efficient GAN Training. NeurIPS (2020)
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR (2020)
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. ECCV (28) (2020)
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. 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)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
Hardware-Centric AutoML for Mixed-Precision Quantization. CoRR (2020)
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
Lite Transformer with Long-Short Range Attention. ICLR (2020)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
Hardware-Centric AutoML for Mixed-Precision Quantization. Int. J. Comput. Vis. 128 (8) (2020)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of Parts, Structure, and Dynamics. ICLR (Poster) (2019)
Hongliang Wang, Jie Zhou, Zhijian Liu
Research on Parallel Detection of Equipment Monitoring Signals of Substation based on Improved ALOHA-Algorithm. ICCSE (2019)
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of Parts, Structure, and Dynamics. CoRR (2019)
Ligeng Zhu, Zhijian Liu, Song Han
Deep Leakage from Gradients. CoRR (2019)
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han
Point-Voxel CNN for Efficient 3D Deep Learning. NeurIPS (2019)
Ligeng Zhu, Zhijian Liu, Song Han
Deep Leakage from Gradients. NeurIPS (2019)
Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin
Design Automation for Efficient Deep Learning Computing. CoRR (2019)
Guo Xia, Cuixia Zhou, Shiqun Jin, Chan Huang, Jinyu Xing, Zhijian Liu
Sensitivity Enhancement of Two-Dimensional Materials Based on Genetic Optimization in Surface Plasmon Resonance. Sensors 19 (5) (2019)
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han
Point-Voxel CNN for Efficient 3D Deep Learning. CoRR (2019)
Yi Yin, Zhijian Liu, Jie Zheng, Liang Chen, Sen Wu, Saijie Wang, Zhijun Yan, Xinxiang Pan
The Effects of Position on the Wear Debris Detection with Planar Inductor. Sensors 19 (22) (2019)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
HAQ: Hardware-Aware Automated Quantization With Mixed Precision. CVPR (2019)
Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu
Learning to Exploit Stability for 3D Scene Parsing. NeurIPS (2018)
Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Physical Primitive Decomposition. CoRR (2018)
Hanliang Fu, Zhijian Liu, Mengmeng Wang, Zelin Wang
Big Data Digging of the Public's Cognition about Recycled Water Reuse Based on the BP Neural Network. Complex. 2018 (2018)
Zhijian Liu, Di Wu, Hongyu Wei, Guoqing Cao
Machine Learning for Building Energy and Indoor Environment: A Perspective. CoRR (2018)
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han
AMC: AutoML for Model Compression and Acceleration on Mobile Devices. ECCV (7) (2018)
Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu
PoseHD: Boosting Human Detectors Using Human Pose Information. AAAI (2018)
Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
Physical Primitive Decomposition. ECCV (12) (2018)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
HAQ: Hardware-Aware Automated Quantization. CoRR (2018)
Hao Li, Zhijian Liu
Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method. CoRR (2017)
C. Guo, Zhijian Liu, Jiemin Shen
Resource allocation in OFDM radio network adjacent to satellite system. CCECE (2016)
Tao Hu, Juhao Li, Kaiwei Zhang, Fang Ren, Qi Mo, Yili Ke, Cheng Du, Zhijian Liu, Yongqi He, Zhengbin Li, Zhangyuan Chen
Experimental demonstration of bidirectional MDM-WDM-TDM-PON over low modal-crosstalk FMF. OFC (2016)
Tao Hu, Juhao Li, Paikun Zhu, Qi Mo, Yili Ke, Cheng Du, Zhijian Liu, Yongqi He, Zhengbin Li, Zhangyuan Chen
Experimental demonstration of passive optical network based on mode-division-multiplexing. OFC (2015)
Qingyang Hong, Sheng Wang, Zhijian Liu
A Robust Speaker-Adaptive and Text-Prompted Speaker Verification System. CCBR (2014)
Fei Hu, Kun Zhou, Zhijian Liu
On the User Research Method Based on OMUKE and UPPA. ISCID (1) (2009)
Zhijian Liu, Bin Wu, Roy George
Fuzzy clustering for knowledge discovery in oceanographic data. GrC (2006)
Zhijian Liu, Roy George
Fuzzy Cluster Analysis of Spatio-Temporal Data. ISCIS (2003)