Guangzhen Yao

According to our database, Guangzhen Yao authored at least 32 papers between 2024 and 2026.

Collaborative distances:

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

2026

Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning.

Zhenyu Yu, Yangchen Zeng, Chunlei Meng, Guangzhen Yao, Shuigeng Zhou

CoRR, May, 2026

FlashSign: Pose-Free Guidance for Efficient Sign Language Video Generation.

Liuzhou Zhang, Zeyu Zhang, Biao Wu, Luyao Tang, Zirui Song, Hongyang He, Renda Han, Guangzhen Yao, Huacan Wang, Ronghao Chen, Xiuying Chen, Guan Huang, Zheng Zhu

CoRR, March, 2026

TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs.

Rong Fu, Yibo Meng, Guangzhen Yao, Jiaxuan Lu, Zeyu Zhang, Zhaolu Kang, Ziming Guo, Jia Yee Tan, Xiaojing Du, Simon James Fong

CoRR, February, 2026

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search.

Rong Fu, Wenxin Zhang, Jia Yee Tan, Chunlei Meng, Shuo Yin, Xiaowen Ma, Wangyu Wu, Muge Qi, Guangzhen Yao, Zhaolu Kang, Zeli Su, Simon Fong

CoRR, February, 2026

Federated graph-level clustering network with adaptive knowledge compensation.

Renda Han, Xinyuan Li, Guangzhen Yao, Mengfei Li, Wenxin Zhang, Ronghao Fu, Zeyu Zhang, Junlong Wu

Neural Networks, 2026

Exploring the challenge and value of deep learning in automated skin disease diagnosis.

Runhao Liu, Ziming Chen, Guangzhen Yao, Peng Zhang

Biomed. Signal Process. Control., 2026

A Graph Foundation Model for Unified Anomaly Detection.

Renda Han, Xiaobao Wang, Luzhi Wang, Wenxin Zhang, Guangzhen Yao, Hongxiang Liang

Proceedings of the ACM Web Conference 2026, 2026

V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer.

Guangzhen Yao, Jiayun Zheng, Zezhou Wang, Wenxin Zhang, Renda Han, Chuangxin Zhao, Zeyu Zhang, Runhao Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HiFi-MambaV2: Hierarchical Shared-Routed MoE for High-Fidelity MRI Reconstruction.

Pengcheng Fang, Hongli Chen, Guangzhen Yao, Jian Shi, Fangfang Tang, Xiaohao Cai, Shanshan Shan, Feng Liu

CoRR, November, 2025

Addressing Noise and Stochasticity in Fraud Detection for Service Networks.

Wenxin Zhang, Ding Xu, Xi Xuan, Lei Jiang, Guangzhen Yao, Renda Han, Xiangxiang Lang, Cuicui Luo

CoRR, May, 2025

Dual-channel Heterophilic Message Passing for Graph Fraud Detection.

Wenxin Zhang, Jingxing Zhong, Guangzhen Yao, Renda Han, Xiaojian Lin, Zeyu Zhang, Cuicui Luo

CoRR, April, 2025

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection.

Wenxin Zhang, Xiaojian Lin, Wenjun Yu, Guangzhen Yao, jingxiang Zhong, Yu Li, Renda Han, Songcheng Xu, Hao Shi, Cuicui Luo

CoRR, April, 2025

Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering.

Renda Han, Guangzhen Yao, Wenxin Zhang, Yu Li, Wen Xin, Huajie Lei, Mengfei Li, Zeyu Zhang, Chengze Du, Yahe Tian

CoRR, April, 2025

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.

Xuyin Qi, Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To

CoRR, February, 2025

SOD-YOLOv10: Small Object Detection in Remote Sensing Images Based on YOLOv10.

Hui Sun, Guangzhen Yao, Sandong Zhu, Long Zhang, Hui Xu, Jun Kong

IEEE Geosci. Remote. Sens. Lett., 2025

A Lightweight Hybrid Network for Object Detection in Remote Sensing Images Balancing Global and Local Information.

Shuting Huang, Ge Zhang, Huanzun Zhang, Hui Xu, Guangzhen Yao, Sandong Zhu, Long Zhang, Jun Kong

IEEE Geosci. Remote. Sens. Lett., 2025

A Reinforcement Learning-Based Retraining-Free Pruning for Encoder-Based Language Models.

Bobin Xie, Renda Han, Guangzhen Yao, Haiming Li, Simeng Zhang, Yutong Chen, Sandong Zhu, Long Zhang

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Dual-channel Heterophilic Message Passing for Graph Fraud Detection.

Wenxin Zhang, Jingxing Zhong, Guangzhen Yao, Renda Han, Xiaojian Lin, Lei Jiang, Zeyu Zhang, Cuicui Luo

Proceedings of the International Joint Conference on Neural Networks, 2025

DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly Detection.

Wenxin Zhang, Xiaojian Lin, Wenjun Yu, Guangzhen Yao, Jingxing Zhong, Yu Li, Renda Han, Songcheng Xu, Hao Shi, Cuicui Luo

Proceedings of the International Joint Conference on Neural Networks, 2025

RL-Pruner: Retraining-Free Global Exploration Pruning Method Based on Reinforcement Learning.

Guangzhen Yao, Yi Wang, Wenxin Zhang, Xaioyu Deng, Chengze Du, Renda Han, Zhanghao Qin, Yu Li, Bobin Xie, Bowen Dong, Haiming Peng, Sandong Zhu, Long Zhang, Zezhou Wang, Zeyu Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

GLFormer: A Lightweight Vision Transformer for Balancing Global and Local Information.

Zezhou Wang, Yi Wang, Wei Zhang, Yuping Yuan, Suyang Chen, Guangzhen Yao, Chengze Du, Renda Han, Bobin Xie, Sandong Zhu, Long Zhang

Proceedings of the International Joint Conference on Neural Networks, 2025

Enhancing Intra-Modality Compactness in Text-to-Image Person ReID.

Zhanghao Qin, Hongming Zhang, Zhilin Zhang, Tianyu Wang, Hongtao Mao, Guangzhen Yao

Proceedings of the International Joint Conference on Neural Networks, 2025

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction.

Xuyin Qi, C. Zeyu Zhang, Huazhan Zheng, Mingxi Chen, Numan Kutaiba, Ruth Lim, Cherie Chiang, Zi En Tham, Xuan Ren, Wenxin Zhang, Lei Zhang, Hao Zhang, Wenbing Lv, Guangzhen Yao, Renda Han, Kangsheng Wang, Mingyuan Li, Hongtao Mao, Yu Li, Zhibin Liao, Yang Zhao, Minh-Son To

Proceedings of the International Joint Conference on Neural Networks, 2025

JTFM: Joint Time-Frequency Method For Long-term Time Series Forecasting.

Yu Li, Wenxin Zhang, Renda Han, Guangzhen Yao, Zeyu Zhang, Tao Liu, Cuicui Luo

Proceedings of the International Joint Conference on Neural Networks, 2025

Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering.

Renda Han, Guangzhen Yao, Mingyuan Li, Wenxin Zhang, Yu Li, Wen Xin, Huajie Lei, Mengfei Li, Zeyu Zhang, Chengze Du, Yahe Tian

Proceedings of the International Joint Conference on Neural Networks, 2025

Dual Boost-Driven Graph-Level Clustering Network.

Renda Han, Wenxuan Tu, Junlong Wu, Wenxin Zhang, Jingxin Liu, Haotian Wang, Jieren Cheng, Huajie Lei, Guangzhen Yao, Lingren Wang, Mengfei Li, Yu Li

Proceedings of the International Joint Conference on Neural Networks, 2025

GuidedLatent: Defending VAEs against Membership Inference Attacks via Distribution-Guided Privacy.

Chengze Du, Guangzhen Yao, Jibin Shi, Ying Zhang, Renda Han

Proceedings of the International Joint Conference on Neural Networks, 2025

FreCT: Frequency-Augmented Convolutional Transformer for Robust Time Series Anomaly Detection.

Wenxin Zhang, Ding Xu, Guangzhen Yao, Xiaojian Lin, Renxiang Guan, Chengze Du, Renda Han, Xi Xuan, Cuicui Luo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

SecureNT: Smart Topology Obfuscation for Privacy-Aware Network Monitoring.

Chengze Du, Jibin Shi, Hui Xu, Guangzhen Yao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Unlocking the Full Potential of Separable Convolutions on Tensor Cores.

Aodie Cui, Chuangxin Zhao, Xiaoyu Deng, Gaozhe Jiang, Yifan Yang, Guangzhen Yao, Renda Han, Wenxin Zhang, Xi Xuan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

HP-YOLOv8: High-Precision Small Object Detection Algorithm for Remote Sensing Images.

Guangzhen Yao, Sandong Zhu, Long Zhang, Miao Qi

Sensors, August, 2024

DP-Prune: Global Optimal Strategy for Retraining-Free Pruning of Transformer Models.

Guangzhen Yao, Long Zhang, Sandong Zhu, Miao Qi

Proceedings of the IEEE International Performance, 2024