Zhizhe Liu

Orcid: 0000-0001-7571-4161

According to our database1, Zhizhe Liu authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adversarial Graph Disentanglement With Component-Specific Aggregation.
IEEE Trans. Artif. Intell., May, 2024

Graph meets probabilistic generation model: A new perspective for graph disentanglement.
Pattern Recognit., April, 2024

Node-Oriented Spectral Filtering for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation.
IEEE Trans. Multim., 2024

The Devil Is in the Boundary: Boundary-Enhanced Polyp Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2024

Controllable Traffic Simulation through LLM-Guided Hierarchical Chain-of-Thought Reasoning.
CoRR, 2024

2023
Sylvester Equation Induced Collaborative Representation Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2023

Unleashing the potential of GNNs via Bi-directional Knowledge Transfer.
CoRR, 2023

2022
Multi-Modal Graph Learning for Disease Prediction.
IEEE Trans. Medical Imaging, 2022

Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SGT: Scene Graph-Guided Transformer for Surgical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Multi-modal Graph Learning for Disease Prediction.
CoRR, 2021

Adversarial Graph Disentanglement.
CoRR, 2021

Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis.
Biomed. Signal Process. Control., 2021

CETransformer: Casual Effect Estimation via Transformer Based Representation Learning.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Coarse-to-Fine Learning Framework for Semi-supervised Multimodal MRI Synthesis.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
Convolutional prototype learning for zero-shot recognition.
Image Vis. Comput., 2020

Taking Modality-free Human Identification as Zero-shot Learning.
CoRR, 2020

A 28.5 to 38.5GHz LC-VCO with -107.84dBc/[email protected] Phase Noise for 5G Millimeter Wave Communication.
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.
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.
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].
IEICE Electron. Express, 2017

A memory-based FFT processor using modified signal flow graph with novel conflict-free address schemes.
IEICE Electron. Express, 2017


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