Concept hierarchies and human navigation. - Salvador Aguiñaga; Aditya Nambiar; Zuozhu Liu; Tim Weninger (IEEE BigData, 2015)

Deep fusion of heterogeneous sensor data. - Zuozhu Liu; Wenyu Zhang 003; Tony Q. S. Quek; Shaowei Lin (ICASSP, 2017)

Variational Adaptive-Newton Method for Explorative Learning. - Mohammad Emtiyaz Khan; Wu Lin; Voot Tangkaratt; Zuozhu Liu; Didrik Nielsen (CoRR, 2017)

Vprop: Variational Inference using RMSprop. - Mohammad Emtiyaz Khan; Zuozhu Liu; Voot Tangkaratt; Yarin Gal (CoRR, 2017)

Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. - Zuozhu Liu; Wenyu Zhang 003; Shaowei Lin; Tony Q. S. Quek (IEEE J. Sel. Top. Signal Process., 2017)

Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. - Zuozhu Liu; Tony Q. S. Quek; Shaowei Lin (AAAI, 2018)

Attention-based Graph Convolutional Network for Recommendation System. - Chenyuan Feng; Zuozhu Liu; Shaowei Lin; Tony Q. S. Quek (ICASSP, 2019)

Biologically Plausible Sequence Learning with Spiking Neural Networks. - Zuozhu Liu; Thiparat Chotibut; Christopher Hillar; Shaowei Lin (AAAI, 2020)

An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. - Jiajun Wu 006; Xuan Huang; Le Yang; Liang Wang; Jipeng Wang; Zuozhu Liu; Kwen-Siong Chong; Shaowei Lin; Chao Wang 096 (A-SSCC, 2020)

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. - Yan Zhang 004; Zhijiang Guo; Zhiyang Teng; Wei Lu 011; Shay B. Cohen; Zuozhu Liu; Lidong Bing (EMNLP (1), 2020)

An Unsupervised Sentence Embedding Method by Mutual Information Maximization. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Kwan Hui Lim 001; Lidong Bing (EMNLP (1), 2020)

An Unsupervised Sentence Embedding Method byMutual Information Maximization. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Kwan Hui Lim 001; Lidong Bing (CoRR, 2020)

Scheduling Policies for Federated Learning in Wireless Networks. - Howard H. Yang; Zuozhu Liu; Tony Q. S. Quek; H. Vincent Poor (IEEE Trans. Commun., 2020)

Bootstrapped Unsupervised Sentence Representation Learning. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Lidong Bing; Haizhou Li 001 (ACL/IJCNLP (1), 2021)

Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. - Gaoang Wang; Renshu Gu; Zuozhu Liu; Weijie Hu; Mingli Song; Jenq-Neng Hwang (ICCV, 2021)

Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. - Hualiang Wang; Huanpeng Chu; Siming Fu; Zuozhu Liu; Haoji Hu (AAAI, 2022)

Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning. - Hao Chen; Yuhao Ge; Jiahao Wei; Huimin Xiong; Zuozhu Liu (CICAI (3), 2022)

Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning. - Hualiang Wang; Siming Fu; Xiaoxuan He; Hangxiang Fang; Zuozhu Liu; Haoji Hu (ECCV (24), 2022)

Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework. - Yiming Chen 010; Yan Zhang 004; Bin Wang 040; Zuozhu Liu; Haizhou Li 001 (EMNLP, 2022)

Federated Stochastic Gradient Descent Begets Self-Induced Momentum. - Howard H. Yang; Zuozhu Liu; Yaru Fu; Tony Q. S. Quek; H. Vincent Poor (ICASSP, 2022)

Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network. - Bingqiang Liu; Ziyuan Wen; Hongling Zhu; Jinsheng Lai; Jiajun Wu 006; Heng Ping; Wenqing Liu; Guoyi Yu; Jianmin Zhang; Zuozhu Liu; Hesong Zeng; Chao Wang 096 (ISCAS, 2022)

Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. - Siqi Shu; Zhengqi Chen; Zhe Yu 001; Shaosheng Cao; Guobin Wu 001; Donghai Shi; Gaoang Wang; Zuozhu Liu; Xiqun Chen; Xiaoxiang Na; Chao Wu 001; Simon Hu 001 (ITSC, 2022)

Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans. - Xiaoxuan He; Hualiang Wang; Haoji Hu; Jianfei Yang; Yang Feng 011; Gaoang Wang; Zuozhu Liu (MIDL, 2022)

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications. - Jin Hao; Jiaxiang Liu; Jin Li; Wei Pan 010; Ruizhe Chen; Huimin Xiong; Kaiwei Sun; Hangzheng Lin; Wanlu Liu; Wanghui Ding; Jianfei Yang; Haoji Hu; et al. (CoRR, 2022)

Towards Federated Long-Tailed Learning. - Zihan Chen 001; Songshang Liu; Hualiang Wang; Howard H. Yang; Tony Q. S. Quek; Zuozhu Liu (CoRR, 2022)

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer. - Huimin Xiong; Kunle Li; Kaiyuan Tan; Yang Feng 011; Joey Tianyi Zhou; Jin Hao; Zuozhu Liu (CoRR, 2022)

Privacy-Preserved Federated Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. - Songshang Liu; Howard H. Yang; Yiqi Tao; Yang Feng 011; Jin Hao; Zuozhu Liu (Frontiers Commun. Networks, 2022)

Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System. - Yinghao Chu; Daquan Feng; Zuozhu Liu; Zizhou Zhao; Zhenzhong Wang; Xiang-Gen Xia 001; Tony Q. S. Quek (IEEE Internet Things J., 2022)

huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level. - Lize Wu; Ziwei Xue; Siqian Jin; Jinchun Zhang; Yixin Guo; Yadan Bai; Xuexiao Jin; Chaochen Wang; Lie Wang; Zuozhu Liu; James Q. Wang; Linrong Lu; et al. (Nucleic Acids Res., 2022)

How Well Do Text Embedding Models Understand Syntax? - Yan Zhang 004; Zhaopeng Feng; Zhiyang Teng; Zuozhu Liu; Haizhou Li 001 (EMNLP (Findings), 2023)

Empirical Study of Zero-Shot NER with ChatGPT. - Tingyu Xie; Qi Li; Jian Zhang 083; Yan Zhang 004; Zuozhu Liu; Hongwei Wang 001 (EMNLP, 2023)

On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. - Jianhong Bai; Zuozhu Liu; Hualiang Wang; Jin Hao; Yang Feng 011; Huanpeng Chu; Haoji Hu (ICLR, 2023)

Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images. - Jiaxiang Liu; Tianxiang Hu; Yang Feng 011; Wanghui Ding; Zuozhu Liu (ISBI, 2023)

TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. - Huimin Xiong; Kunle Li; Kaiyuan Tan; Yang Feng 011; Joey Tianyi Zhou; Jin Hao; Haochao Ying; Jian Wu 001; Zuozhu Liu (MICCAI (6), 2023)

Model Adaptive Tooth Segmentation. - Ruizhe Chen; Jianfei Yang; Yang Feng 011; Jin Hao; Zuozhu Liu (MIDL, 2023)

Towards Distribution-Agnostic Generalized Category Discovery. - Jianhong Bai; Zuozhu Liu; Hualiang Wang; Ruizhe Chen; Lianrui Mu; Xiaomeng Li 001; Joey Tianyi Zhou; Yang Feng 011; Jian Wu 001; Haoji Hu (NeurIPS, 2023)

Fast Model DeBias with Machine Unlearning. - Ruizhe Chen; Jianfei Yang; Huimin Xiong; Jianhong Bai; Tianxiang Hu; Jin Hao; Yang Feng 011; Joey Tianyi Zhou; Jian Wu 001; Zuozhu Liu (NeurIPS, 2023)

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. - Zikai Xiao; Zihan Chen 001; Songshang Liu; Hualiang Wang; Yang Feng 011; Jin Hao; Joey Tianyi Zhou; Jian Wu 001; Howard H. Yang; Zuozhu Liu (NeurIPS, 2023)

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis. - Jiaxiang Liu; Tianxiang Hu; Yan Zhang 004; Xiaotang Gai; Yang Feng 011; Zuozhu Liu (CoRR, 2023)

A Fine-Grained Attention Model for High Accuracy Operational Robot Guidance. - Yinghao Chu; Daquan Feng; Zuozhu Liu; Lei Zhang 035; Zizhou Zhao; Zhenzhong Wang; Zhiyong Feng 001; Xiang-Gen Xia 001 (IEEE Internet Things J., 2023)

Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. - Zuozhu Liu; Xiaoxuan He; Hualiang Wang; Huimin Xiong; Yan Zhang 004; Gaoang Wang; Jin Hao; Yang Feng 011; Fudong Zhu; Haoji Hu (IEEE Trans. Medical Imaging, 2023)

Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction. - Jiaxiang Liu; Jin Hao; Hangzheng Lin; Wei Pan 010; Jianfei Yang; Yang Feng 011; Gaoang Wang; Jin Li; Zuolin Jin; Zhihe Zhao; Zuozhu Liu (Patterns, 2023)

Robustness-Guided Image Synthesis for Data-Free Quantization. - Jianhong Bai; Yuchen Yang; Huanpeng Chu; Hualiang Wang; Zuozhu Liu; Ruizhe Chen; Xiaoxuan He; Lianrui Mu; Chengfei Cai; Haoji Hu (AAAI, 2024)

Learnable Privacy Neurons Localization in Language Models. - Ruizhe Chen; Tianxiang Hu; Yang Feng 011; Zuozhu Liu (ACL (Short Papers), 2024)

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. - Zhiting Fan; Ruizhe Chen; Ruiling Xu; Zuozhu Liu (EMNLP, 2024)

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. - Zhaopeng Feng; Ruizhe Chen; Yan Zhang 004; Zijie Meng; Zuozhu Liu (EMNLP, 2024)

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models. - Songtao Jiang; Tuo Zheng; Yan Zhang 004; Yeying Jin; Li Yuan; Zuozhu Liu (EMNLP (Findings), 2024)

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. - Jiaxiang Liu; Tianxiang Hu; Huimin Xiong; Jiawei Du; Yang Feng 011; Jian Wu 001; Joey Zhou; Zuozhu Liu (EMNLP (Findings), 2024)

MedCoT: Medical Chain of Thought via Hierarchical Expert. - Jiaxiang Liu; Yuan Wang; Jiawei Du; Joey Zhou; Zuozhu Liu (EMNLP, 2024)

DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models. - Jiabao Pan; Yan Zhang 004; Chen Zhang 020; Zuozhu Liu; Hongwei Wang 001; Haizhou Li 001 (EMNLP, 2024)

Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. - Chenyi Zhou; Hualiang Wang; Xiaomeng Li 001; Wanlu Liu; Zuozhu Liu (ICASSP, 2024)

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. - Zikai Xiao; Zihan Chen 001; Liyinglan Liu; Yang Feng 011; Joey Tianyi Zhou; Jian Wu 001; Wanlu Liu; Howard Hao Yang; Zuozhu Liu (ICLR, 2024)

Refined Individual Tooth Segmentation from Cone Beam CT Images. - Tuo Zheng; Jiaxiang Liu; Yang Feng 011; Junhui Lv; Zuozhu Liu (ISBI, 2024)

FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning. - Chenyi Hong; Hualiang Wang; Zhuoxuan Wu; Zuozhu Liu; Junhui Lv (CaPTion@MICCAI, 2024)

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray. - Wen Ma; Huikai Wu; Zikai Xiao; Yang Feng 011; Jian Wu 001; Zuozhu Liu (MICCAI (3), 2024)

MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst. - Yi Cheng; Tingting Chen 002; Yaojun Hu; Xiangqian Meng; Zuozhu Liu; Danny Chen 001; Jian Wu 001; Haochao Ying (MIDL, 2024)

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models. - Tingyu Xie; Qi Li; Yan Zhang 004; Zuozhu Liu; Hongwei Wang 001 (NAACL (Short Papers), 2024)

Divide and Conquer for Large Language Models Reasoning. - Zijie Meng; Yan Zhang 004; Zhaopeng Feng; Yang Feng 011; Gaoang Wang; Joey Tianyi Zhou; Jian Wu 001; Zuozhu Liu (CoRR, 2024)

UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing. - Jianhong Bai; Tianyu He; Yuchi Wang; Junliang Guo; Haoji Hu; Zuozhu Liu; Jiang Bian 002 (CoRR, 2024)

Improving LLM-based Machine Translation with Systematic Self-Correction. - Zhaopeng Feng; Yan Zhang 004; Hao Li; Wenqiang Liu; Jun Lang 001; Yang Feng 011; Jian Wu 001; Zuozhu Liu (CoRR, 2024)

Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models. - Songtao Jiang; Yan Zhang 004; Chenyi Zhou; Yeying Jin; Yang Feng 011; Jian Wu 001; Zuozhu Liu (CoRR, 2024)

MoE-TinyMed: Mixture of Experts for Tiny Medical Large Vision-Language Models. - Songtao Jiang; Tuo Zheng; Yan Zhang 004; Yeying Jin; Zuozhu Liu (CoRR, 2024)

MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale. - Xiaotang Gai; Chenyi Zhou; Jiaxiang Liu; Yang Feng 011; Jian Wu 001; Zuozhu Liu (CoRR, 2024)

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing. - Ruizhe Chen; Yichen Li; Zikai Xiao; Zuozhu Liu (CoRR, 2024)

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models. - Hanjun Luo; Ziye Deng; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM. - Hanjun Luo; Haoyu Huang; Ziye Deng; Xuecheng Liu; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary. - Hanjun Luo; Ziye Deng; Haoyu Huang; Xuecheng Liu; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

EC-Guide: A Comprehensive E-Commerce Guide for Instruction Tuning and Quantization. - Zhaopeng Feng; Zijie Meng; Zuozhu Liu (CoRR, 2024)

Editable Fairness: Fine-Grained Bias Mitigation in Language Models. - Ruizhe Chen; Yichen Li; Jianfei Yang; Joey Tianyi Zhou; Zuozhu Liu (CoRR, 2024)

Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models. - Jiao Chen 001; Jiayi He; Fangfang Chen; Zuohong Lv; Jianhua Tang; Weihua Li 004; Zuozhu Liu; Howard H. Yang; Guangjie Han (CoRR, 2024)

GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models. - Hanjun Luo; Yingbin Jin; Xuecheng Liu; Tong Shang; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

PAD: Personalized Alignment at Decoding-Time. - Ruizhe Chen; Xiaotian Zhang; Meng Luo; Wenhao Chai; Zuozhu Liu (CoRR, 2024)

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment. - Songtao Jiang; Yan Zhang 004; Ruizhe Chen; Yeying Jin; Zuozhu Liu (CoRR, 2024)

R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest. - Xupeng Chen; Zhixin Lai; Kangrui Ruan; Shichu Chen; Jiaxiang Liu; Zuozhu Liu (CoRR, 2024)

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints. - Jianhong Bai; Menghan Xia; Xintao Wang 002; Ziyang Yuan; Xiao Fu; Zuozhu Liu; Haoji Hu; Pengfei Wan 001; Di Zhang (CoRR, 2024)

M-MAD: Multidimensional Multi-Agent Debate Framework for Fine-grained Machine Translation Evaluation. - Zhaopeng Feng; Jiayuan Su; Jiamei Zheng; Jiahan Ren; Yan Zhang 004; Jian Wu 001; Hongwei Wang 001; Zuozhu Liu (CoRR, 2024)

Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition. - Guanhong Wang; Yang Zhou; Zhanhao He; Keyu Lu; Yang Feng 011; Zuozhu Liu; Gaoang Wang (Neurocomputing, 2024)

A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading. - Jinhong Wang; Zhe Xu; Wenhao Zheng; Haochao Ying; Tingting Chen 002; Zuozhu Liu; Danny Z. Chen; Ke Yao; Jian Wu 001 (IEEE Trans. Medical Imaging, 2024)

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. - Shengyu Hao; Peiyuan Liu; Yibing Zhan; Kaixun Jin; Zuozhu Liu; Mingli Song; Jenq-Neng Hwang; Gaoang Wang (Int. J. Comput. Vis., 2024)

Parameter-Efficient Transfer Learning for Medical Visual Question Answering. - Jiaxiang Liu; Tianxiang Hu; Yan Zhang 004; Yang Feng 011; Jin Hao; Junhui Lv; Zuozhu Liu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Accurate estimation of 6-DoF tooth pose in 3D intraoral scans for dental applications using deep learning. - Wanghui Ding; Kaiwei Sun; Mengfei Yu; Hangzheng Lin; Yang Feng 011; Jianhua Li; Zuozhu Liu (Frontiers Inf. Technol. Electron. Eng., 2024)

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. - Jiaxiang Liu; Tianxiang Hu; Jiawei Du; Ruiyuan Zhang; Joey Tianyi Zhou; Zuozhu Liu (AAAI, 2025)

DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models. - Ruizhe Chen; Wenhao Chai; Zhifei Yang 004; Xiaotian Zhang; Ziyang Wang; Tony Q. S. Quek; Joey Tianyi Zhou; Soujanya Poria; Zuozhu Liu (ACL (1), 2025)

BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models. - Zhiting Fan; Ruizhe Chen; Zuozhu Liu (ACL (Findings), 2025)

M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation. - Zhaopeng Feng; Jiayuan Su; Jiamei Zheng; Jiahan Ren; Yan Zhang 004; Jian Wu 001; Hongwei Wang 001; Zuozhu Liu (ACL (1), 2025)

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models. - Songtao Jiang; Yan Zhang 004; Yeying Jin; Zhihang Tang; Yangyang Wu; Yang Feng 011; Jian Wu 001; Zuozhu Liu (ACL (1), 2025)

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering. - Yichen Li; Zhiting Fan; Ruizhe Chen; Xiaotang Gai; Luqi Gong; Yan Zhang 004; Zuozhu Liu (ACL (Findings), 2025)

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment. - Xiaotian Zhang; Ruizhe Chen; Yang Feng 011; Zuozhu Liu (ACL (Findings), 2025)

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints. - Jianhong Bai; Menghan Xia; Xintao Wang 002; Ziyang Yuan; Zuozhu Liu; Haoji Hu; Pengfei Wan 001; Di Zhang (ICLR, 2025)

PAD: Personalized Alignment of LLMs at Decoding-time. - Ruizhe Chen; Xiaotian Zhang; Meng Luo; Wenhao Chai; Zuozhu Liu (ICLR, 2025)

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs. - Zhiting Fan; Ruizhe Chen; Tianxiang Hu; Zuozhu Liu (ICLR, 2025)

Identifying and Mitigating Social Bias Knowledge in Language Models. - Ruizhe Chen; Yichen Li; Jianfei Yang; Yang Feng 011; Joey Tianyi Zhou; Jian Wu 001; Zuozhu Liu (NAACL (Findings), 2025)

TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement. - Zhaopeng Feng; Yan Zhang 113; Hao Li; Bei Wu; Jiayu Liao; Wenqiang Liu; Jun Lang 001; Yang Feng 011; Jian Wu 001; Zuozhu Liu (NAACL (Findings), 2025)

MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering. - Xiaotang Gai; Chenyi Zhou; Jiaxiang Liu; Yang Feng 011; Jian Wu 001; Zuozhu Liu (NAACL (Findings), 2025)

PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval. - Zihan Niu; Zheyong Xie; Shaosheng Cao; Chonggang Lu; Zheyu Ye; Tong Xu 001; Zuozhu Liu; Yan Gao 017; Jia Chen 003; Zhe Xu; Yi Wu; Yao Hu 002 (SIGIR, 2025)

Towards normalized clinical information extraction in Chinese radiology report with large language models. - Qinwei Xu; Xingkun Xu; Chenyi Zhou; Zuozhu Liu; Feiyue Huang; Shaoxin Li 004; Lifeng Zhu; Zhian Bai; Yuchen Xu 008; Weiguo Hu (Expert Syst. Appl., 2025)

Cross-center Model Adaptive Tooth segmentation. - Ruizhe Chen; Jianfei Yang; Huimin Xiong; Ruiling Xu; Yang Feng 011; Jian Wu 001; Zuozhu Liu (Medical Image Anal., 2025)

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models. - Peiran Wang; Linjie Tong; Jiaxiang Liu; Zuozhu Liu (CoRR, 2025)

DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models. - Ruizhe Chen; Wenhao Chai; Zhifei Yang 004; Xiaotian Zhang; Joey Tianyi Zhou; Tony Q. S. Quek; Soujanya Poria; Zuozhu Liu (CoRR, 2025)

ReCamMaster: Camera-Controlled Generative Rendering from A Single Video. - Jianhong Bai; Menghan Xia; Xiao Fu; Xintao Wang 002; Lianrui Mu; Jinwen Cao; Zuozhu Liu; Haoji Hu; Xiang Bai; Pengfei Wan 001; Di Zhang (CoRR, 2025)

MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling. - Zhaopeng Feng; Jiahan Ren; Jiayuan Su; Jiamei Zheng; Zhihang Tang; Hongwei Wang; Zuozhu Liu (CoRR, 2025)

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning. - Zhaopeng Feng; Shaosheng Cao; Jiahan Ren; Jiayuan Su; Ruizhe Chen; Yan Zhang 004; Zhe Xu; Yao Hu; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering. - Yichen Li; Zhiting Fan; Ruizhe Chen; Xiaotang Gai; Luqi Gong; Yan Zhang; Zuozhu Liu (CoRR, 2025)

OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding. - Songtao Jiang; Yuan Wang; Sibo Song; Yan Zhang; Zijie Meng; Bohan Lei; Jian Wu 001; Jimeng Sun 001; Zuozhu Liu (CoRR, 2025)

Beyond Modality Collapse: Representations Blending for Multimodal Dataset Distillation. - Xin Zhang 092; Ziruo Zhang; Jiawei Du; Zuozhu Liu; Joey Tianyi Zhou (CoRR, 2025)

MT3: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning. - Zhaopeng Feng; Yupu Liang; Shaosheng Cao; Jiayuan Su; Jiahan Ren; Zhe Xu; Yao Hu 002; Wenxuan Huang 001; Jian Wu; Zuozhu Liu (CoRR, 2025)

CP-Router: An Uncertainty-Aware Router Between LLM and LRM. - Jiayuan Su; Fulin Lin; Zhaopeng Feng; Han Zheng; Teng Wang; Zhenyu Xiao; Xinlong Zhao; Zuozhu Liu; Lu Cheng; Hongwei Wang 001 (CoRR, 2025)

Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment. - Chengting Yu; Fengzhao Zhang; Ruizhe Chen; Aili Wang 002; Zuozhu Liu; Shurun Tan; Er-Ping Li 001 (IEEE Trans. Artif. Intell., 2025)

Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning. - Chenyuan Feng; Daquan Feng; Guanxin Huang; Zuozhu Liu; Zhenzhong Wang; Xiang-Gen Xia 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering. - Songtao Jiang; Chenyi Zhou; Yan Zhang 004; Yeying Jin; Zuozhu Liu (CoRR, 2025)

Act-as-Pet: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services. - Hongcheng Guo; Zheyong Xie; Shaosheng Cao; Boyang Wang; Weiting Liu; Zheyu Ye; Zhoujun Li 001; Zuozhu Liu (CoRR, 2025)

SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis. - Jianhui Wei; Zikai Xiao; Danyu Sun; Luqi Gong; Zongxin Yang; Zuozhu Liu; Jian Wu (CoRR, 2025)

Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding. - Zikai Xiao; Ziyang Wang; Wen Ma; Yan Zhang; Wei Shen; Yan Wang; Luqi Gong; Zuozhu Liu (CoRR, 2025)

3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks. - Xiaotang Gai; Jiaxiang Liu; Yichen Li; Zijie Meng; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning. - Xiaotian Zhang; Yuan Wang; Zhaopeng Feng; Ruizhe Chen; Zhijie Zhou; Yan Zhang; Hongxia Xu; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making. - Songtao Jiang; Yuan Wang; Ruizhe Chen; Yan Zhang; Ruilin Luo; Bohan Lei; Sibo Song; Yang Feng 011; Jimeng Sun 001; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis. - Yuan Wang; Jiaxiang Liu; Shujian Gao; Bin Feng; Zhihang Tang; Xiaotang Gai; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs. - Jianhui Wei; Zijie Meng; Zikai Xiao; Tianxiang Hu; Yang Feng 011; Zhijie Zhou; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography. - Miles V. Bimrose; Tianxiang Hu; Davis J. McGregor; Jiongxin Wang; Sameh H. Tawfick; Chenhui Shao; Zuozhu Liu; William P. King (J. Intell. Manuf., 2025)

Correction: Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography. - Miles V. Bimrose; Tianxiang Hu; Davis J. McGregor; Jiongxin Wang; Sameh H. Tawfick; Chenhui Shao; Zuozhu Liu; William P. King (J. Intell. Manuf., 2025)

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning. - Ruizhe Chen; Zhiting Fan; Tianze Luo; Heqing Zou; Zhaopeng Feng; Guiyang Xie; Hansheng Zhang; Zhuochen Wang; Zuozhu Liu; Huaijian Zhang (CoRR, 2025)

Med-GLIP: Advancing Medical Language-Image Pre-training with Large-scale Grounded Dataset. - Ziye Deng; Ruihan He; Jiaxiang Liu; Yuan Wang; Zijie Meng; Songtao Jiang; Yong Xie; Zuozhu Liu (CoRR, 2025)

LETA: Tooth Alignment Prediction Based on Dual-branch Latent Encoding. - Zefeng Shi; Zijie Meng; Ruizhe Chen; Yang Feng 011; Zeyu Zhao; Jin Hao; Bing Fang; Zuozhu Liu; Youyi Zheng (IEEE Trans. Vis. Comput. Graph., 2025)