Tianyu Guo

According to our database, Tianyu Guo authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A robust audio deepfake detection system via multi-view feature.

Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang

CoRR, 2024

DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models.

Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang

CoRR, 2024

2023

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation.

Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao

CoRR, 2023

UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity.

Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao

CoRR, 2023

LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models.

Ying Nie, Wei He, Kai Han, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang

CoRR, 2023

Data-Free Distillation of Language Model by Text-to-Text Transfer.

Zheyuan Bai, Xinduo Liu, Hailin Hu, Tianyu Guo, Qinghua Zhang, Yunhe Wang

CoRR, 2023

Joint Adversarial and Collaborative Learning for Self-Supervised Action Recognition.

Tianyu Guo, Mengyuan Liu, Hong Liu, Wenhao Li, Jingwen Guo, Tao Wang, Yidi Li

CoRR, 2023

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference.

Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Higher Ranks via Adversarial Weight Pruning.

Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation.

Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised 3D Skeleton Representation Learning with Active Sampling and Adaptive Relabeling for Action Recognition.

Guoquan Wang, Hong Liu, Tianyu Guo, Jingwen Guo, Ti Wang, Yidi Li

Proceedings of the IEEE International Conference on Image Processing, 2023

FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation.

Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si

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

2022

Optimizing Latent Distributions for Non-Adversarial Generative Networks.

Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition.

Zhan Chen, Hong Liu, Tianyu Guo, Zhengyan Chen, Pinhao Song, Hao Tang

CoRR, 2022

GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation.

Wenhao Li, Hong Liu, Tianyu Guo, Hao Tang, Runwei Ding

CoRR, 2022

FDSNeT: An Accurate Real-Time Surface Defect Segmentation Network.

Jian Zhang, Runwei Ding, Miaoju Ban, Tianyu Guo

Proceedings of the IEEE International Conference on Acoustics, 2022

PDD-Net: A Precise Defect Detection Network Based on Point Set Representation.

Miaoju Ban, Runwei Ding, Jian Zhang, Tianyu Guo, Tao Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer.

Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi

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

Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition.

Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding

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

2021

Learning Student Networks in the Wild.

Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Pre-Trained Image Processing Transformer.

Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Adversarial Robustness through Disentangled Representations.

Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Robust Student Network Learning.

Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

EDD-Net: An Efficient Defect Detection Network.

Tianyu Guo, Linlin Zhang, Runwei Ding, Ge Yang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

On Positive-Unlabeled Classification in GAN.

Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Student Networks with Few Data.

Shumin Kong, Tianyu Guo, Shan You, Chang Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning from Bad Data via Generation.

Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Smooth Deep Image Generator from Noises.

Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Reinforced Multi-Label Image Classification by Exploring Curriculum.

Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018