Zuozhu Liu
Orcid: 0000-0002-7816-502X
According to our database1,
Zuozhu Liu
authored at least 123 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
IEEE Trans. Vis. Comput. Graph., September, 2025
Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset.
CoRR, August, 2025
CoRR, July, 2025
Correction: Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography.
J. Intell. Manuf., June, 2025
Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography.
J. Intell. Manuf., June, 2025
MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs.
CoRR, June, 2025
CoRR, June, 2025
Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning.
CoRR, June, 2025
3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks.
CoRR, June, 2025
Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding.
CoRR, June, 2025
CoRR, June, 2025
Act-as-Pet: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services.
CoRR, June, 2025
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering.
CoRR, June, 2025
Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2025
Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment.
IEEE Trans. Artif. Intell., May, 2025
MT<sup>3</sup>: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning.
CoRR, May, 2025
Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation.
CoRR, May, 2025
CoRR, April, 2025
CoRR, April, 2025
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.
CoRR, April, 2025
MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling.
CoRR, March, 2025
CoRR, March, 2025
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models.
CoRR, March, 2025
CoRR, February, 2025
Towards normalized clinical information extraction in Chinese radiology report with large language models.
Expert Syst. Appl., 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Accurate estimation of 6-DoF tooth pose in 3D intraoral scans for dental applications using deep learning.
Frontiers Inf. Technol. Electron. Eng., September, 2024
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes.
Int. J. Comput. Vis., April, 2024
IEEE Trans. Medical Imaging, March, 2024
Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition.
Neurocomputing, February, 2024
M-MAD: Multidimensional Multi-Agent Debate Framework for Fine-grained Machine Translation Evaluation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models.
CoRR, 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models.
CoRR, 2024
CoRR, 2024
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary.
CoRR, 2024
BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM.
CoRR, 2024
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models.
CoRR, 2024
CoRR, 2024
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale.
CoRR, 2024
CoRR, 2024
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models.
CoRR, 2024
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis.
Proceedings of the IEEE International Conference on Acoustics, 2024
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction.
Patterns, September, 2023
Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans.
IEEE Trans. Medical Imaging, February, 2023
IEEE Internet Things J., January, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level.
Nucleic Acids Res., 2022
Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System.
IEEE Internet Things J., 2022
Privacy-Preserved Federated Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans.
Frontiers Commun. Networks, 2022
CoRR, 2022
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications.
CoRR, 2022
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning.
Proceedings of the Computer Vision, 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
IEEE Trans. Commun., 2020
CoRR, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE J. Sel. Top. Signal Process., 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015