Zhizhe Liu

According to our database, Zhizhe Liu authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph meets probabilistic generation model: A new perspective for graph disentanglement.

Zouzhang Peng, Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Jian Cheng, Honghui Dong, Yao Zhao

Pattern Recognit., April, 2024

Node-Oriented Spectral Filtering for Graph Neural Networks.

Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Youru Li, Yao Zhao

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation.

Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao

IEEE Trans. Multim., 2024

2023

Sylvester Equation Induced Collaborative Representation Learning for Recommendation.

Xingyuan Li, Zhenfeng Zhu, Shuai Zheng, Zhizhe Liu, Youru Li, Xiaobo Guo, Deqiang Kong, Yao Zhao

IEEE Trans. Knowl. Data Eng., September, 2023

Unleashing the potential of GNNs via Bi-directional Knowledge Transfer.

Shuai Zheng, Zhizhe Liu, Zhenfeng Zhu, Xingxing Zhang, Jianxin Li, Yao Zhao

CoRR, 2023

2022

Multi-Modal Graph Learning for Disease Prediction.

Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yuchen Yang, Yao Zhao

IEEE Trans. Medical Imaging, 2022

Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation.

Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao

IEEE J. Biomed. Health Informatics, 2022

MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning.

Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng

IEEE Trans. Circuits Syst. Video Technol., 2022

The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification.

Xingxing Zhang, Zhizhe Liu, Weikai Yang, Liyuan Wang, Jun Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Attention-Enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation.

Xiaoyi Sun, Zhizhe Liu, Shuai Zheng, Chen Lin, Zhenfeng Zhu, Yao Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SGT: Scene Graph-Guided Transformer for Surgical Report Generation.

Chen Lin, Shuai Zheng, Zhizhe Liu, Youru Li, Zhenfeng Zhu, Yao Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Multi-modal Graph Learning for Disease Prediction.

Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yao Zhao

CoRR, 2021

Adversarial Graph Disentanglement.

Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Shuiwang Ji, Yao Zhao

CoRR, 2021

Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis.

Wanlu Zhang, Haiyan Wu, Yang Liu, Shuai Zheng, Zhizhe Liu, Youru Li, Yao Zhao, Zhenfeng Zhu

Biomed. Signal Process. Control., 2021

CETransformer: Casual Effect Estimation via Transformer Based Representation Learning.

Zhenyu Guo, Shuai Zheng, Zhizhe Liu, Kun Yan, Zhenfeng Zhu

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Coarse-to-Fine Learning Framework for Semi-supervised Multimodal MRI Synthesis.

Kun Yan, Zhizhe Liu, Shuai Zheng, Zhenyu Guo, Zhenfeng Zhu, Yao Zhao

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020

Convolutional prototype learning for zero-shot recognition.

Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng

Image Vis. Comput., 2020

Taking Modality-free Human Identification as Zero-shot Learning.

Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng

CoRR, 2020

A 28.5 to 38.5GHz LC-VCO with -107.84dBc/[email protected] Phase Noise for 5G Millimeter Wave Communication.

Xin Yin, Zhizhe Liu, Min He, Di Sun, Xiaodong Liu, Hongjie Yin, Xingwang Li

Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning.

Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Modified Signal Flow Graph and Corresponding Conflict-Free Strategy for Memory-Based FFT Processor Design.

Yinghui Tian, Yong Hei, Zhizhe Liu, Qi Shen, Zhixiong Di, Tao Chen

IEEE Trans. Circuits Syst. II Express Briefs, 2019

2017

Erratum: A memory-based FFT processor using modified signal flow graph with novel conflict-free address schemes [IEICE Electronics Express Vol. 14 (2017) No. 15 pp. 20170660].

Yinghui Tian, Yong Hei, Zhizhe Liu, Zhixiong Di, Qi Shen, Zenghui Yu

IEICE Electron. Express, 2017

A memory-based FFT processor using modified signal flow graph with novel conflict-free address schemes.

Yinghui Tian, Yong Hei, Zhizhe Liu, Zhixiong Di, Qi Shen, Zenghui Yu

IEICE Electron. Express, 2017