Zuozhu Liu

Orcid: 0000-0002-7816-502X

According to our database1, Zuozhu Liu authored at least 123 papers between 2015 and 2025.

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Bibliography

2025
LETA: Tooth Alignment Prediction Based on Dual-branch Latent Encoding.
IEEE Trans. Vis. Comput. Graph., September, 2025

Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset.
CoRR, August, 2025

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning.
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

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis.
CoRR, June, 2025

CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making.
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

SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis.
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

CP-Router: An Uncertainty-Aware Router Between LLM and LRM.
CoRR, 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

OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding.
CoRR, April, 2025

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering.
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

ReCamMaster: Camera-Controlled Generative Rendering from A Single Video.
CoRR, March, 2025

DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models.
CoRR, March, 2025

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models.
CoRR, February, 2025

Cross-center Model Adaptive Tooth segmentation.
Medical Image Anal., 2025

Towards normalized clinical information extraction in Chinese radiology report with large language models.
Expert Syst. Appl., 2025

PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval.
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

TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Identifying and Mitigating Social Bias Knowledge in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PAD: Personalized Alignment of LLMs at Decoding-time.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints.
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

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering.
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

BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models.
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

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models.
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

Parameter-Efficient Transfer Learning for Medical Visual Question Answering.
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

A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading.
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

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints.
CoRR, 2024

R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest.
CoRR, 2024

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment.
CoRR, 2024

PAD: Personalized Alignment at Decoding-Time.
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

Editable Fairness: Fine-Grained Bias Mitigation in Language Models.
CoRR, 2024

EC-Guide: A Comprehensive E-Commerce Guide for Instruction Tuning and Quantization.
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

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing.
CoRR, 2024

MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale.
CoRR, 2024

MoE-TinyMed: Mixture of Experts for Tiny Medical Large Vision-Language Models.
CoRR, 2024

Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models.
CoRR, 2024

Improving LLM-based Machine Translation with Systematic Self-Correction.
CoRR, 2024

UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing.
CoRR, 2024

Divide and Conquer for Large Language Models Reasoning.
CoRR, 2024

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.
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

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray.
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

Refined Individual Tooth Segmentation from Cone Beam CT Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data.
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

MedCoT: Medical Chain of Thought via Hierarchical Expert.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis.
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

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learnable Privacy Neurons Localization in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Robustness-Guided Image Synthesis for Data-Free Quantization.
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

A Fine-Grained Attention Model for High Accuracy Operational Robot Guidance.
IEEE Internet Things J., January, 2023

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis.
CoRR, 2023

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast Model DeBias with Machine Unlearning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Distribution-Agnostic Generalized Category Discovery.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Adaptive Tooth Segmentation.
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

Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images.
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

Empirical Study of Zero-Shot NER with ChatGPT.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How Well Do Text Embedding Models Understand Syntax?
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

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer.
CoRR, 2022

Towards Federated Long-Tailed Learning.
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

Federated Stochastic Gradient Descent Begets Self-Induced Momentum.
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

Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning.
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

Bootstrapped Unsupervised Sentence Representation Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Scheduling Policies for Federated Learning in Wireless Networks.
IEEE Trans. Commun., 2020

An Unsupervised Sentence Embedding Method byMutual Information Maximization.
CoRR, 2020

An Unsupervised Sentence Embedding Method by Mutual Information Maximization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
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

Biologically Plausible Sequence Learning with Spiking Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Attention-based Graph Convolutional Network for Recommendation System.
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
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding.
IEEE J. Sel. Top. Signal Process., 2017

Vprop: Variational Inference using RMSprop.
CoRR, 2017

Variational Adaptive-Newton Method for Explorative Learning.
CoRR, 2017

Deep fusion of heterogeneous sensor data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2015
Concept hierarchies and human navigation.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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