Zuozhu Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 82

Top Topics

Hybrid Neural Network

Mutual Information Maximization

Top Venues

Publications

Hanjun Luo, Ziye Deng, Haoyu Huang, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary. CoRR (2024)
Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. CoRR (2024)
Zijie Meng, Yan Zhang, Zhaopeng Feng, Yang Feng, Gaoang Wang, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu
Divide and Conquer for Large Language Models Reasoning. CoRR (2024)
Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu
Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. ICASSP (2024)
Zhaopeng Feng, Yan Zhang, Hao Li, Wenqiang Liu, Jun Lang, Yang Feng, Jian Wu, Zuozhu Liu
Improving LLM-based Machine Translation with Systematic Self-Correction. CoRR (2024)
Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu, Yang Feng, Jian Wu, Zuozhu Liu
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale. CoRR (2024)
Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Yang Feng, Jin Hao, Junhui Lv, Zuozhu Liu
Parameter-Efficient Transfer Learning for Medical Visual Question Answering. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models. CoRR (2024)
Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing. CoRR (2024)
Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. CoRR (2024)
Jinhong Wang, Zhe Xu, Wenhao Zheng, Haochao Ying, Tingting Chen, Zuozhu Liu, Danny Z. Chen, Ke Yao, Jian Wu
A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading. IEEE Trans. Medical Imaging 43 (3) (2024)
Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Zuozhu Liu
MoE-TinyMed: Mixture of Experts for Tiny Medical Large Vision-Language Models. CoRR (2024)
Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Joey Tianyi Zhou, Jian Wu, Wanlu Liu, Howard Hao Yang, Zuozhu Liu
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. ICLR (2024)
Songtao Jiang, Yan Zhang, Chenyi Zhou, Yeying Jin, Yang Feng, Jian Wu, Zuozhu Liu
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models. CoRR (2024)
Hanjun Luo, Ziye Deng, Ruizhe Chen, Zuozhu Liu
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models. CoRR (2024)
Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data. CoRR (2024)
Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing. CoRR (2024)
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. Int. J. Comput. Vis. 132 (4) (2024)
Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu
Learnable Privacy Neurons Localization in Language Models. CoRR (2024)
Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu
Robustness-Guided Image Synthesis for Data-Free Quantization. AAAI (2024)
Guanhong Wang, Yang Zhou, Zhanhao He, Keyu Lu, Yang Feng, Zuozhu Liu, Gaoang Wang
Knowledge-guided pre-training and fine-tuning: Video representation learning for action recognition. Neurocomputing 571 (2024)
Hanjun Luo, Haoyu Huang, Ziye Deng, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu
BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM. CoRR (2024)
Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu
Fast Model Debias with Machine Unlearning. CoRR (2023)
Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR (2023)
Yifu Zhang, Zuozhu Liu, Yang Feng, Renjing Xu
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images. CoRR (2023)
Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li
How Well Do Text Embedding Models Understand Syntax? EMNLP (Findings) (2023)
Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu
Fast Model DeBias with Machine Unlearning. NeurIPS (2023)
Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. MICCAI (6) (2023)
Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard H. Yang, Zuozhu Liu
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. NeurIPS (2023)
Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Haochao Ying, Jian Wu, Zuozhu Liu
TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer. CoRR (2023)
Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, Yang Feng, Zuozhu Liu
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis. CoRR (2023)
Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu, Haoji Hu
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. CoRR (2023)
Tingyu Xie, Qi Li, Yan Zhang, Zuozhu Liu, Hongwei Wang
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models. CoRR (2023)
Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu
Robustness-Guided Image Synthesis for Data-Free Quantization. CoRR (2023)
Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu
Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images. ISBI (2023)
Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu
Model Adaptive Tooth Segmentation. MIDL (2023)
Zuozhu Liu, Xiaoxuan He, Hualiang Wang, Huimin Xiong, Yan Zhang, Gaoang Wang, Jin Hao, Yang Feng, Fudong Zhu, Haoji Hu
Hierarchical Self-Supervised Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans. IEEE Trans. Medical Imaging 42 (2) (2023)
Yinghao Chu, Daquan Feng, Zuozhu Liu, Lei Zhang, Zizhou Zhao, Zhenzhong Wang, Zhiyong Feng, Xiang-Gen Xia
A Fine-Grained Attention Model for High Accuracy Operational Robot Guidance. IEEE Internet Things J. 10 (2) (2023)
Zikai Xiao, Zihan Chen, Songshang Liu, Hualiang Wang, Yang Feng, Jin Hao, Joey Tianyi Zhou, Jian Wu, Howard Hao Yang, Zuozhu Liu
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer. CoRR (2023)
Jiaxiang Liu, Jin Hao, Hangzheng Lin, Wei Pan, Jianfei Yang, Yang Feng, Gaoang Wang, Jin Li, Zuolin Jin, Zhihe Zhao, Zuozhu Liu
Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction. Patterns 4 (9) (2023)
Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang
Empirical Study of Zero-Shot NER with ChatGPT. CoRR (2023)
Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, Hongwei Wang
Empirical Study of Zero-Shot NER with ChatGPT. EMNLP (2023)
Shenghao Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. CoRR (2023)
Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu
Towards Distribution-Agnostic Generalized Category Discovery. NeurIPS (2023)
Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images. CoRR (2023)
Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li
How Well Do Text Embedding Models Understand Syntax? CoRR (2023)
Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu
Towards Distribution-Agnostic Generalized Category Discovery. CoRR (2023)
Hao Chen, Yuhao Ge, Jiahao Wei, Huimin Xiong, Zuozhu Liu
Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning. CICAI (3) (2022)
Zihan Chen, Songshang Liu, Hualiang Wang, Howard H. Yang, Tony Q. S. Quek, Zuozhu Liu
Towards Federated Long-Tailed Learning. CoRR (2022)
Huimin Xiong, Kunle Li, Kaiyuan Tan, Yang Feng, Joey Tianyi Zhou, Jin Hao, Zuozhu Liu
TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer. CoRR (2022)
Yinghao Chu, Daquan Feng, Zuozhu Liu, Zizhou Zhao, Zhenzhong Wang, Xiang-Gen Xia, Tony Q. S. Quek
Hybrid-Learning-Based Operational Visual Quality Inspection for Edge-Computing-Enabled IoT System. IEEE Internet Things J. 9 (7) (2022)
Bingqiang Liu, Ziyuan Wen, Hongling Zhu, Jinsheng Lai, Jiajun Wu, Heng Ping, Wenqing Liu, Guoyi Yu, Jianmin Zhang, Zuozhu Liu, Hesong Zeng, Chao Wang
Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network. ISCAS (2022)
Howard H. Yang, Zuozhu Liu, Yaru Fu, Tony Q. S. Quek, H. Vincent Poor
Federated Stochastic Gradient Descent Begets Self-Induced Momentum. ICASSP (2022)
Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. AAAI (2022)
Howard H. Yang, Zuozhu Liu, Yaru Fu, Tony Q. S. Quek, H. Vincent Poor
Federated Stochastic Gradient Descent Begets Self-Induced Momentum. CoRR (2022)
Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework. EMNLP (2022)
Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. ITSC (2022)
Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning. ECCV (24) (2022)
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, Wanlu Liu
huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level. Nucleic Acids Res. 50 (D1) (2022)
Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu, Yueling Zhang, Yang Feng, Zeyu Zhao, Huikai Wu, Youyi Zheng, Bing Fang, Zuozhu Liu, Zhihe Zhao
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications. CoRR (2022)
Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning. CoRR (2022)
Yiming Chen, Yan Zhang, Bin Wang, Zuozhu Liu, Haizhou Li
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework. CoRR (2022)
Xiaoxuan He, Hualiang Wang, Haoji Hu, Jianfei Yang, Yang Feng, Gaoang Wang, Zuozhu Liu
Unsupervised Pre-training Improves Tooth Segmentation in 3-Dimensional Intraoral Mesh Scans. MIDL (2022)
Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. ICCV (2021)
Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li
Bootstrapped Unsupervised Sentence Representation Learning. ACL/IJCNLP (1) (2021)
Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang
Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. CoRR (2021)
Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing
An Unsupervised Sentence Embedding Method by Mutual Information Maximization. EMNLP (1) (2020)
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP (1) (2020)
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
Biologically Plausible Sequence Learning with Spiking Neural Networks. AAAI (2020)
Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing
An Unsupervised Sentence Embedding Method byMutual Information Maximization. CoRR (2020)
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. CoRR (2020)
Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek, H. Vincent Poor
Scheduling Policies for Federated Learning in Wireless Networks. IEEE Trans. Commun. 68 (1) (2020)
Jiajun Wu, Xuan Huang, Le Yang, Liang Wang, Jipeng Wang, Zuozhu Liu, Kwen-Siong Chong, Shaowei Lin, Chao Wang
An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. A-SSCC (2020)
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
Biologically Plausible Sequence Learning with Spiking Neural Networks. CoRR (2019)
Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek
Attention-based Graph Convolutional Network for Recommendation System. ICASSP (2019)
Howard H. Yang, Zuozhu Liu, Tony Q. S. Quek, H. Vincent Poor
Scheduling Policies for Federated Learning in Wireless Networks. CoRR (2019)
Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. AAAI (2018)
Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin
Deep fusion of heterogeneous sensor data. ICASSP (2017)
Mohammad Emtiyaz Khan, Zuozhu Liu, Voot Tangkaratt, Yarin Gal
Vprop: Variational Inference using RMSprop. CoRR (2017)
Zuozhu Liu, Wenyu Zhang, Shaowei Lin, Tony Q. S. Quek
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. IEEE J. Sel. Top. Signal Process. 11 (3) (2017)
Mohammad Emtiyaz Khan, Wu Lin, Voot Tangkaratt, Zuozhu Liu, Didrik Nielsen
Variational Adaptive-Newton Method for Explorative Learning. CoRR (2017)
Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. CoRR (2017)
Salvador Aguiñaga, Aditya Nambiar, Zuozhu Liu, Tim Weninger
Concept hierarchies and human navigation. IEEE BigData (2015)