Zuozhu Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
16
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection. | Bin Pu, Xingguo Lv, Jiewen Yang, Kai Xu, Lei Zhao, Zuozhu Liu, Kenli Li |
| 2026 | AAAI | 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 |
| 2026 | AAAI | Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation. | Yuan Wang, Shujian Gao, Jiaxiang Liu, Songtao Jiang, Haoxiang Xia, Xiaotian Zhang, Zhaolu Kang, Yemin Wang, Zuozhu Liu |
| 2026 | AAAI | MPA: Multimodal Prototype Augmentation for Few-Shot Learning. | Liwen Wu, Wei Wang, Lei Zhao, Zhan Gao, Qika Lin, Shaowen Yao, Zuozhu Liu, Bin Pu |
| 2026 | ACL | MT³: A Synergistic Multi-Task RL Framework for Specializing MLLMs in Text Image Machine Translation. | Zhaopeng Feng, Yupu Liang, Shaosheng Cao, Jiayuan Su, Jiahan Ren, Zhijie Zhou, Wenxuan Huang, Jian Wu, Zuozhu Liu |
| 2026 | ACL | Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering. | Songtao Jiang, Yuan Wang, Ruizhe Chen, Yan Zhang, Ruilin Luo, Bohan Lei, Yeying Jin, Sibo Song, Zhibo Yang, Jimeng Sun, Jian Wu, Zuozhu Liu |
| 2026 | ACL | Towards Proactive Personalization through Profile Customization for Individual Users in Dialogues. | Xiaotian Zhang, Yuan Wang, Ruizhe Chen, Zeya Wang, Runchen Hou, Zuozhu Liu |
| 2026 | ICDE | Building and Benchmarking Large Language Models for Machine Translation in Social Network Services. | Hongcheng Guo, Fei Zhao, Shaosheng Cao, Xinze Lyu, Zijie Meng, Yue Wang, Yao Hu, Zhoujun Li, Zuozhu Liu |
| 2026 | WWW | GCAgent: Enhancing Group Chat Communication through Dialogue Agents System. | Zijie Meng, Zheyong Xie, Zheyu Ye, Chonggang Lu, Zuozhu Liu, Zihan Niu, Yao Hu, Shaosheng Cao |
| 2025 | AAAI | KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. | Jiaxiang Liu, Tianxiang Hu, Jiawei Du, Ruiyuan Zhang, Joey Tianyi Zhou, Zuozhu Liu |
| 2025 | ACL | DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models. | Ruizhe Chen, Wenhao Chai, Zhifei Yang, Xiaotian Zhang, Ziyang Wang, Tony Q. S. Quek, Joey Tianyi Zhou, Soujanya Poria, Zuozhu Liu |
| 2025 | ACL | BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models. | Zhiting Fan, Ruizhe Chen, Zuozhu Liu |
| 2025 | ACL | M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation. | Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, Jiahan Ren, Yan Zhang, Jian Wu, Hongwei Wang, Zuozhu Liu |
| 2025 | ACL | Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering. | Songtao Jiang, Chenyi Zhou, Yan Zhang, Yeying Jin, Zuozhu Liu |
| 2025 | ACL | HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models. | Songtao Jiang, Yan Zhang, Yeying Jin, Zhihang Tang, Yangyang Wu, Yang Feng, Jian Wu, Zuozhu Liu |
| 2025 | ACL | FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering. | Yichen Li, Zhiting Fan, Ruizhe Chen, Xiaotang Gai, Luqi Gong, Yan Zhang, Zuozhu Liu |
| 2025 | ACL | Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding. | Zikai Xiao, Ziyang Wang, Wen Ma, Yan Zhang, Wei Shen, WangYan WangYan, Luqi Gong, Zuozhu Liu |
| 2025 | ACL | iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation. | Zheyong Xie, Shaosheng Cao, Zuozhu Liu, Zheyu Ye, Zihan Niu, Chonggang Lu, Tong Xu, Enhong Chen, Zhe Xu, Yao Hu, Wei Lu |
| 2025 | ACL | Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment. | Xiaotian Zhang, Ruizhe Chen, Yang Feng, Zuozhu Liu |
| 2025 | CIKM | Pet-Bench: 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, Zuozhu Liu, Wei Lu |
| 2025 | EMNLP | Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning. | Ruizhe Chen, Tianze Luo, Zhiting Fan, Heqing Zou, Zhaopeng Feng, Guiyang Xie, Hansheng Zhang, Zhuochen Wang, Zuozhu Liu, Huaijian Zhang |
| 2025 | EMNLP | 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, Jian Wu, Zuozhu Liu |
| 2025 | EMNLP | MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling. | Zhaopeng Feng, Jiahan Ren, Jiayuan Su, Jiamei Zheng, Hongwei Wang, Zuozhu Liu |
| 2025 | EMNLP | DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition. | Hanjun Luo, Yingbin Jin, Yiran Wang, Xinfeng Li, Tong Shang, Xuecheng Liu, Ruizhe Chen, Kun Wang, Hanan Salam, Qingsong Wen, Zuozhu Liu |
| 2025 | EMNLP | LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability. | Zikai Xiao, Fei Huang, Jianhong Tu, Jianhui Wei, Wen Ma, Yuxuan Zhou, Jian Wu, Bowen Yu, Zuozhu Liu, Junyang Lin |
| 2025 | ICCV | Recammaster: Camera-Controlled Generative Rendering From a Single Video. | Jianhong Bai, Menghan Xia, Xiao Fu, Xintao Wang, Lianrui Mu, Jinwen Cao, Zuozhu Liu, Haoji Hu, Xiang Bai, Pengfei Wan, Di Zhang |
| 2025 | ICLR | SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints. | Jianhong Bai, Menghan Xia, Xintao Wang, Ziyang Yuan, Zuozhu Liu, Haoji Hu, Pengfei Wan, Di Zhang |
| 2025 | ICLR | PAD: Personalized Alignment of LLMs at Decoding-time. | Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu |
| 2025 | ICLR | FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs. | Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu |
| 2025 | IJCAI | Modality-Fair Preference Optimization for Trustworthy MLLM Alignment. | Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu |
| 2025 | IJCNN | R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest. | Xupeng Chen, Zhixin Lai, Kangrui Ruan, Shichu Chen, Jiaxiang Liu, Zuozhu Liu |
| 2025 | MICCAI | Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning. | Songtao Jiang, Yuxi Chen, Sibo Song, Yan Zhang, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu |
| 2025 | MICCAI | 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, Zuozhu Liu |
| 2025 | MICCAI | Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models. | Peiran Wang, Linjie Tong, Jian Wu, Jiaxiang Liu, Zuozhu Liu |
| 2025 | NAACL | Identifying and Mitigating Social Bias Knowledge in Language Models. | Ruizhe Chen, Yichen Li, Jianfei Yang, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu |
| 2025 | NAACL | TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement. | Zhaopeng Feng, Yan Zhang, Hao Li, Bei Wu, Jiayu Liao, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu |
| 2025 | NAACL | MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering. | Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu, Zuozhu Liu |
| 2025 | SIGIR | PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval. | Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu, Yao Hu |
| 2024 | AAAI | 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 |
| 2024 | ACL | Learnable Privacy Neurons Localization in Language Models. | Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu |
| 2024 | EMNLP | BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. | Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu |
| 2024 | EMNLP | Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. | Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu |
| 2024 | EMNLP | Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models. | Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Li Yuan, Zuozhu Liu |
| 2024 | EMNLP | VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. | Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, Yang Feng, Jian Wu, Joey Zhou, Zuozhu Liu |
| 2024 | EMNLP | MedCoT: Medical Chain of Thought via Hierarchical Expert. | Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Zhou, Zuozhu Liu |
| 2024 | EMNLP | DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models. | Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li |
| 2024 | ICASSP | Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. | Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu |
| 2024 | ICLR | FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. | Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu |
| 2024 | MICCAI | FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning. | Chenyi Hong, Hualiang Wang, Zhuoxuan Wu, Zuozhu Liu, Junhui Lv |
| 2024 | MICCAI | PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray. | Wen Ma, Huikai Wu, Zikai Xiao, Yang Feng, Jian Wu, Zuozhu Liu |
| 2024 | NAACL | Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models. | Tingyu Xie, Qi Li, Yan Zhang, Zuozhu Liu, Hongwei Wang |
| 2023 | EMNLP | How Well Do Text Embedding Models Understand Syntax? | Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li |
| 2023 | EMNLP | Empirical Study of Zero-Shot NER with ChatGPT. | Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang |
| 2023 | ICLR | On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. | Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu |
| 2023 | MICCAI | TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. | Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu |
| 2022 | AAAI | Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. | Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu |
| 2022 | ECCV | 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 |
| 2022 | EMNLP | Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework. | Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li |
| 2022 | ICASSP | Federated Stochastic Gradient Descent Begets Self-Induced Momentum. | Howard H. Yang, Zuozhu Liu, Yaru Fu, Tony Q. S. Quek, H. Vincent Poor |
| 2022 | ISCAS | 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, Heng Ping, Wenqing Liu, Guoyi Yu, Jianmin Zhang, Zuozhu Liu, Hesong Zeng, Chao Wang |
| 2021 | ACL | Bootstrapped Unsupervised Sentence Representation Learning. | Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li |
| 2021 | ICCV | 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 |
| 2020 | AAAI | Biologically Plausible Sequence Learning with Spiking Neural Networks. | Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin |
| 2020 | EMNLP | Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. | Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing |
| 2020 | EMNLP | An Unsupervised Sentence Embedding Method by Mutual Information Maximization. | Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing |
| 2019 | ICASSP | Attention-based Graph Convolutional Network for Recommendation System. | Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek |
| 2018 | AAAI | Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. | Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin |
| 2017 | ICASSP | Deep fusion of heterogeneous sensor data. | Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin |