Liu, Zuozhu

24 publications

NeurIPS 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, Zuozhu Liu

NeurIPS 2025 Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation Xin Zhang, Ziruo Zhang, Jiawei Du, Zuozhu Liu, Joey Tianyi Zhou

ICLR 2025 FairMT-Bench: Benchmarking Fairness for Multi-Turn Dialogue in Conversational LLMs Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu

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

IJCAI 2025 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

ICLR 2025 PAD: Personalized Alignment of LLMs at Decoding-Time Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu

ICLRW 2025 R-Llava: Improving Med-Vqa Understanding Through Visual Region of Interest Xupeng Chen, Zhixin Lai, Kangrui Ruan, Shichu Chen, Jiaxiang Liu, Zuozhu Liu

ICCV 2025 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

ICLR 2025 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

NeurIPSW 2024 Enhancing Medical VQA with Multimodal Determination Rationales Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu, Zuozhu Liu

ICLR 2024 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

ICLRW 2024 Large Language Model Bias Mitigation from the Perspective of Knowledge Editing Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu

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

AAAI 2024 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

ICMLW 2023 A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, Yang Feng, Zuozhu Liu

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

NeurIPS 2023 Fed-GraB: Federated Long-Tailed Learning with Self-Adjusting Gradient Balancer Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hua Yang, Zuozhu Liu

ICLR 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, Huanpeng Chu, Haoji Hu

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

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

ECCV 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

ICCV 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

AAAI 2020 Biologically Plausible Sequence Learning with Spiking Neural Networks Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin

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