Zhizhe Liu
Orcid: 0000-0001-7571-4161
According to our database1,
Zhizhe Liu
authored at least 26 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Trans. Artif. Intell., May, 2024
Graph meets probabilistic generation model: A new perspective for graph disentanglement.
Pattern Recognit., April, 2024
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
IEEE Trans. Circuits Syst. Video Technol., 2024
Controllable Traffic Simulation through LLM-Guided Hierarchical Chain-of-Thought Reasoning.
CoRR, 2024
2023
IEEE Trans. Knowl. Data Eng., September, 2023
2022
Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021
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