Zhen Zhao

According to our database, Zhen Zhao authored at least 36 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization.

Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation.

Yunxin Li, Haoyuan Shi, Baotian Hu, Longyue Wang, Jiashun Zhu, Jinyi Xu, Zhen Zhao, Min Zhang

CoRR, 2024

PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis.

Zicheng Wang, Zhenghao Chen, Yiming Wu, Zhen Zhao, Luping Zhou, Dong Xu

CoRR, 2024

SOEDiff: Efficient Distillation for Small Object Editing.

Qihe Pan, Zicheng Wang, Zhen Zhao, Yiming Wu, Sifan Long, Haoran Liang, Ronghua Liang

CoRR, 2024

Training-Free Unsupervised Prompt for Vision-Language Models.

Sifan Long, Linbin Wang, Zhen Zhao, Zichang Tan, Yiming Wu, Shengsheng Wang, Jingdong Wang

CoRR, 2024

GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation.

Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Small Object Editing: A Benchmark Dataset and A Training-Free Approach.

Qihe Pan, Zhen Zhao, Zicheng Wang, Sifan Long, Yiming Wu, Wei Ji, Haoran Liang, Ronghua Liang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.

Zhen Zhao, Zicheng Wang, Longyue Wang, Dian Yu, Yixuan Yuan, Luping Zhou

Proceedings of the Computer Vision - ECCV 2024, 2024

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds.

Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning.

Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An AoTI-Driven Joint Sampling Frequency and Access Selection Optimization for Industrial Wireless Sensor Networks.

Chen Ying, Zhen Zhao, Changyan Yi, You Shi, Jun Cai

IEEE Trans. Veh. Technol., September, 2023

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.

Zhen Zhao, Zicheng Wang, Longyue Wang, Yixuan Yuan, Luping Zhou

CoRR, 2023

Clean Label Disentangling for Medical Image Segmentation with Noisy Labels.

Zicheng Wang, Zhen Zhao, Erjian Guo, Luping Zhou

CoRR, 2023

Progressive Target-Styled Feature Augmentation for Unsupervised Domain Adaptation on Point Clouds.

Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu

CoRR, 2023

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation.

Zhen Zhao, Ye Liu, Meng Zhao, Di Yin, Yixuan Yuan, Luping Zhou

CoRR, 2023

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models.

Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang

CoRR, 2023

Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning.

Zhen Zhao, Meng Zhao, Ye Liu, Di Yin, Luping Zhou

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning.

Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models.

Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning.

Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Semi-supervised Learning with Non-random Missing Labels.

Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation.

Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation.

Zhen Zhao, Sifan Long, Jimin Pi, Jingdong Wang, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation.

Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers.

Sifan Long, Zhen Zhao, Jimin Pi, Shengsheng Wang, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class.

Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AoTI Minimization for Multi-Type Data Sampling in Industrial Wireless Sensor Networks.

Chen Ying, Zhen Zhao, Changyan Yi, You Shi, Ran Wang

Proceedings of the 20th IEEE International Conference on Embedded and Ubiquitous Computing, 2022

DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning.

Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition.

Ziyuan Wang, Zhen Zhao, Lei Qi, Yinghuan Shi, Yang Gao

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

LaSSL: Label-Guided Self-Training for Semi-supervised Learning.

Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019

Pulsar candidate recognition with deep learning.

Haoyuan Zhang, Zhen Zhao, Tao An, Bao-qiang Lao, Xiao Chen

Comput. Electr. Eng., 2019

2018

An Analytical Framework for IEEE 802.15.6-Based Wireless Body Area Networks With Instantaneous Delay Constraints and Shadowing Interruptions.

Zhen Zhao, Shiwei Huang, Jun Cai

IEEE Trans. Veh. Technol., 2018

2017

Energy Efficient Packet Transmission Strategies for Wireless Body Area Networks with Rechargeable Sensors.

Zhen Zhao, Shiwei Huang, Jun Cai

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

2016

Priority-aware pricing-based capacity sharing scheme for beyond-wireless body area networks.

Changyan Yi, Zhen Zhao, Jun Cai, Ricardo Lobato de Faria, Gong (Michael) Zhang

Comput. Networks, 2016

Queueing analysis for medical data transmissions with delay-dependent packet priorities in WBANs.

Zhen Zhao, Changyan Yi, Jun Cai, Huijin Cao

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Efficient resource allocation scheduling for MIMO-OFDMA-CR downlink systems.

Huijin Cao, Jun Cai, Attahiru Sule Alfa, Zhen Zhao

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016