Tianyang Hu

According to our database, Tianyang Hu authored at least 34 papers between 2015 and 2024.

Collaborative distances:

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

2024

WDFA-YOLOX: A Wavelet-Driven and Feature-Enhanced Attention YOLOX Network for Ship Detection in SAR Images.

Falin Wu, Tianyang Hu, Yu Xia, Boyi Ma, Saddam Sarwar, Chunxiao Zhang

Remote. Sens., May, 2024

A Global CIT Model Fusing Ground-Based GNSS and Space-Borne LEO Satellite Data for Monitoring the Geomagnetic Storm.

Tianyang Hu, Xiaohua Xu, Jia Luo

IEEE Trans. Geosci. Remote. Sens., 2024

Improving the Computerized Ionospheric Tomography Performance Through a Neural Network-Based Initial IED Prediction Model.

Tianyang Hu, Xiaohua Xu, Jia Luo

IEEE Trans. Geosci. Remote. Sens., 2024

Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification.

Boyi Ma, Falin Wu, Tianyang Hu, Loghman Fathollahi, Xiaohong Sui, Yushuang Liu, Byambakhuu Gantumur

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Elucidating the design space of language models for image generation.

Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao

CoRR, 2024

Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation.

Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu

CoRR, 2024

On the Expressive Power of a Variant of the Looped Transformer.

Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu

CoRR, 2024

Deciphering the Projection Head: Representation Evaluation Self-supervised Learning.

Jiajun Ma, Tianyang Hu, Wenjia Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling.

Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion.

Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers.

Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Elucidating the design space of classifier-guided diffusion generation.

Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation.

Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung

Proceedings of the Computer Vision - ECCV 2024, 2024

Accelerating Diffusion Sampling with Optimized Time Steps.

Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Continual Learning by Modeling Intra-Class Variation.

Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu

Trans. Mach. Learn. Res., 2023

Training Energy-Based Models with Diffusion Contrastive Divergences.

Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

CoRR, 2023

ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.

Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu

CoRR, 2023

Boosting Visual-Language Models by Exploiting Hard Samples.

Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li

CoRR, 2023

Random Smoothing Regularization in Kernel Gradient Descent Learning.

Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao

CoRR, 2023

Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification.

Pawel Piwek, Adam Klukowski, Tianyang Hu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.

Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

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

Complexity Matters: Rethinking the Latent Space for Generative Modeling.

Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

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

Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization.

Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma

Proceedings of the International Conference on Machine Learning, 2023

Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding.

Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning.

Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang

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

Inducing Neural Collapse in Deep Long-tailed Learning.

Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Understanding Square Loss in Training Overparametrized Neural Network Classifiers.

Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li

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

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.

Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

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

2021

Study of Spatial and Temporal Variations of Ionospheric Total Electron Content in Japan, during 2014-2019 and the 2016 Kumamoto Earthquake.

Tianyang Hu, Yibin Yao, Jian Kong

Sensors, 2021

Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network.

Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting.

Tianyang Hu, Zuofeng Shang, Guang Cheng

CoRR, 2020

2018

Stein Neural Sampler.

Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng

CoRR, 2018

2017

Toward Practical Deployment of Fingerprint-Based Indoor Localization.

Suining He, Tianyang Hu, S.-H. Gary Chan

IEEE Pervasive Comput., 2017

2015

Contour-based Trilateration for Indoor Fingerprinting Localization.

Suining He, Tianyang Hu, S.-H. Gary Chan

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015