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ORCIDZhijian Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[c42]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:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. ICLR 2025- [i39]Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han:
LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. CoRR abs/2502.14866 (2025) - [i38]Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon:
Token-Efficient Long Video Understanding for Multimodal LLMs. CoRR abs/2503.04130 (2025) - [i37]Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie:
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding. CoRR abs/2505.22618 (2025) - [i36]Samir Khaki, Xiuyu Li, Junxian Guo, Ligeng Zhu, Chenfeng Xu, Konstantinos N. Plataniotis, Amir Yazdanbakhsh, Kurt Keutzer, Song Han, Zhijian Liu:
SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity. CoRR abs/2506.16500 (2025) - 2024
- [j17]Zhijian Liu
, Haotian Tang, Yujun Lin, Song Han:
Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. World Sci. Annu. Rev. Artif. Intell. 2: 2340003:1-2340003:56 (2024) - [c41]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. CVPR 2024: 4840-4851 - [c40]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. ECCV (67) 2024: 108-127 - [c39]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 - [i35]Vlas Zyrianov, Henry Che, Zhijian Liu, Shenlong Wang:
LidarDM: Generative LiDAR Simulation in a Generated World. CoRR abs/2404.02903 (2024) - [i34]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 abs/2407.19014 (2024) - [i33]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:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - [i32]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, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu:
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CoRR abs/2411.12915 (2024) - [i31]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:
NVILA: Efficient Frontier Visual Language Models. CoRR abs/2412.04468 (2024) - 2023
- [j16]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: 115316-115329 (2023) - [j15]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) - [j14]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): 75-82 (2023) - [j13]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): 4067-4075 (2023) - [c38]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: 202-209 - [c37]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CVPR 2023: 1200-1211 - [c36]Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han:
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CVPR 2023: 2061-2070 - [c35]Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang:
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. ICCV 2023: 8194-8205 - [c34]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: 2774-2781 - [c33]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: 225-239 - [i30]Zhijian Liu, Xinyu Yang, Haotian Tang, Shang Yang, Song Han:
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. CoRR abs/2301.08739 (2023) - [i29]Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han:
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer. CoRR abs/2303.17605 (2023) - [i28]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 abs/2307.04103 (2023) - [i27]Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang:
MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. CoRR abs/2308.12963 (2023) - [i26]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 abs/2309.12307 (2023) - [i25]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 abs/2311.12862 (2023) - [i24]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 abs/2312.10035 (2023) - [i23]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 abs/2312.12491 (2023) - 2022
- [j12]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): 8552-8568 (2022) - [j11]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): 9331-9346 (2022) - [j10]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): 4912 (2022) - [j9]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): 20:1-20:50 (2022) - [c32]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: 2419-2426 - [c31]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. MLSys 2022 - [i22]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. CoRR abs/2204.10319 (2022) - [i21]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 abs/2204.11786 (2022) - [i20]Zhijian Liu, Haotian Tang, Shengyu Zhao, Kevin Shao, Song Han:
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution. CoRR abs/2204.11797 (2022) - [i19]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 abs/2205.13542 (2022) - 2021
- [j8]Liqing Gao, Haibo Li, Zhijian Liu, Zekang Liu, Liang Wan, Wei Feng:
RNN-Transducer based Chinese Sign Language Recognition. Neurocomputing 434: 45-54 (2021) - [c30]Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han:
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. ICCV 2021: 2147-2156 - [c29]Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela L. Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. ICRA 2021: 13247-13254 - [c28]Zhijian Liu, Haotian Tang, Sibo Zhu, Song Han:
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss. IROS 2021: 8845-8851 - [c27]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: 378-381 - [c26]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: 342-358 - [c25]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: 359-371 - [c24]Delu Li, Zhijian Liu, Kailiang Zhang:
Space Vector Modulation Strategy and Related Improvement Technology of Matrix Converter. SimuTools 2021: 452-472 - [i18]Zhijian Liu, Alexander Amini, Sibo Zhu, Sertac Karaman, Song Han, Daniela Rus:
Efficient and Robust LiDAR-Based End-to-End Navigation. CoRR abs/2105.09932 (2021) - [i17]Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han:
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. CoRR abs/2108.11950 (2021) - [i16]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 abs/2111.12083 (2021) - 2020
- [j7]Jiangbei Han, Zhijian Liu, Ning Liang:
Nonlinear Adaptive Robust Control Strategy of Doubly Fed Induction Generator Based on Virtual Synchronous Generator. IEEE Access 8: 159887-159896 (2020) - [j6]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) - [j5]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
Hardware-Centric AutoML for Mixed-Precision Quantization. Int. J. Comput. Vis. 128(8): 2035-2048 (2020) - [j4]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): 75-82 (2020) - [c23]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: 7675-7688 - [c22]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: 2075-2084 - [c21]Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han:
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CVPR 2020: 5283-5293 - [c20]Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han:
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference. ECCV (11) 2020: 578-595 - [c19]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: 685-702 - [c18]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. ICLR 2020 - [c17]Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han:
Differentiable Augmentation for Data-Efficient GAN Training. NeurIPS 2020 - [i15]Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han:
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CoRR abs/2003.08936 (2020) - [i14]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. CoRR abs/2004.11886 (2020) - [i13]Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han:
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing. CoRR abs/2005.14187 (2020) - [i12]Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han:
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CoRR abs/2006.08509 (2020) - [i11]Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han:
Differentiable Augmentation for Data-Efficient GAN Training. CoRR abs/2006.10738 (2020) - [i10]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR abs/2007.16100 (2020) - [i9]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
Hardware-Centric AutoML for Mixed-Precision Quantization. CoRR abs/2008.04878 (2020)
2010 – 2019
- 2019
- [j3]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): 1198 (2019) - [j2]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): 4961 (2019) - [c16]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
HAQ: Hardware-Aware Automated Quantization With Mixed Precision. CVPR 2019: 8612-8620 - [c15]Hongliang Wang, Jie Zhou, Zhijian Liu:
Research on Parallel Detection of Equipment Monitoring Signals of Substation based on Improved ALOHA-Algorithm. ICCSE 2019: 1014-1019 - [c14]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 - [c13]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. NeurIPS 2019: 963-973 - [c12]Ligeng Zhu, Zhijian Liu, Song Han:
Deep Leakage from Gradients. NeurIPS 2019: 14747-14756 - [i8]Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics. CoRR abs/1903.05136 (2019) - [i7]Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin:
Design Automation for Efficient Deep Learning Computing. CoRR abs/1904.10616 (2019) - [i6]Ligeng Zhu, Zhijian Liu, Song Han:
Deep Leakage from Gradients. CoRR abs/1906.08935 (2019) - [i5]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. CoRR abs/1907.03739 (2019) - 2018
- [j1]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: 1876861:1-1876861:11 (2018) - [c11]Zhijian Liu, Bowen Pan, Yuliang Xiu, Cewu Lu:
PoseHD: Boosting Human Detectors Using Human Pose Information. AAAI 2018: 7186-7193 - [c10]Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. ECCV (12) 2018: 3-20 - [c9]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: 815-832 - [c8]Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu:
Learning to Exploit Stability for 3D Scene Parsing. NeurIPS 2018: 1733-1743 - [i4]Zhijian Liu, Di Wu, Hongyu Wei, Guoqing Cao:
Machine Learning for Building Energy and Indoor Environment: A Perspective. CoRR abs/1801.00779 (2018) - [i3]Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. CoRR abs/1809.05070 (2018) - [i2]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
HAQ: Hardware-Aware Automated Quantization. CoRR abs/1811.08886 (2018) - 2017
- [i1]Hao Li, Zhijian Liu:
Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method. CoRR abs/1710.02511 (2017) - 2016
- [c7]C. Guo, Zhijian Liu, Jiemin Shen:
Resource allocation in OFDM radio network adjacent to satellite system. CCECE 2016: 1-4 - [c6]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: 1-3 - 2015
- [c5]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: 1-3 - 2014
- [c4]Qingyang Hong, Sheng Wang, Zhijian Liu:
A Robust Speaker-Adaptive and Text-Prompted Speaker Verification System. CCBR 2014: 385-393
2000 – 2009
- 2009
- [c3]Fei Hu, Kun Zhou, Zhijian Liu:
On the User Research Method Based on OMUKE and UPPA. ISCID (1) 2009: 522-525 - 2006
- [c2]Zhijian Liu, Bin Wu, Roy George:
Fuzzy clustering for knowledge discovery in oceanographic data. GrC 2006: 651-654 - 2003
- [c1]Zhijian Liu, Roy George:
Fuzzy Cluster Analysis of Spatio-Temporal Data. ISCIS 2003: 984-991
Coauthor Index
[c42] [i39] [i38] [i37] [i36] [j17] [c40] [c39] [i34] [i33] [i31] [c38] [c37] [c36] [c34] [c33] [i30] [i29] [i26] [i25] [j12] [j11] [j9] [c32] [c31] [i22] [i21] [i20] [i19] [c30] [c29] [c28] [i18] [i17] [i16] [j5] [j4] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [c16] [c13] [c12] [i7] [i6] [i5] [c9] [i2]
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