Tianyang Hu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 44

Top Topics

Diffusion Models

Rule Based Classifier

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. CoRR (2024)
Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael K. Ng, Zhenguo Li, Zhaoqiang Liu
On the Expressive Power of a Variant of the Looped Transformer. CoRR (2024)
Falin Wu, Tianyang Hu, Yu Xia, Boyi Ma, Saddam Sarwar, Chunxiao Zhang
WDFA-YOLOX: A Wavelet-Driven and Feature-Enhanced Attention YOLOX Network for Ship Detection in SAR Images. Remote. Sens. 16 (10) (2024)
Tianyang Hu, Xiaohua Xu, Jia Luo
A Global CIT Model Fusing Ground-Based GNSS and Space-Borne LEO Satellite Data for Monitoring the Geomagnetic Storm. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Boyi Ma, Falin Wu, Tianyang Hu, Loghman Fathollahi, Xiaohong Sui, Yushuang Liu, Byambakhuu Gantumur
Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. CoRR (2024)
Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li
Accelerating Diffusion Sampling with Optimized Time Steps. CoRR (2024)
Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. CoRR (2024)
Brian K. Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers. CoRR (2024)
Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu
Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation. CoRR (2024)
Tianyang Hu, Xiaohua Xu, Jia Luo
Improving the Computerized Ionospheric Tomography Performance Through a Neural Network-Based Initial IED Prediction Model. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun
Elucidating the design space of classifier-guided diffusion generation. ICLR (2024)
Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR (2023)
Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. ICLR (2023)
Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao
Inducing Neural Collapse in Deep Long-tailed Learning. CoRR (2023)
Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li
Boosting Visual-Language Models by Exploiting Hard Samples. CoRR (2023)
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
Complexity Matters: Rethinking the Latent Space for Generative Modeling. NeurIPS (2023)
Pawel Piwek, Adam Klukowski, Tianyang Hu
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification. CoRR (2023)
Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao
Random Smoothing Regularization in Kernel Gradient Descent Learning. CoRR (2023)
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. ICML (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. NeurIPS (2023)
Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR (2023)
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CoRR (2023)
Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CVPR (2023)
Jiajun Ma, Tianyang Hu, Wenjia Wang
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. CoRR (2023)
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. CoRR (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. CoRR (2023)
Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan
Inducing Neural Collapse in Deep Long-tailed Learning. AISTATS (2023)
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
Complexity Matters: Rethinking the Latent Space for Generative Modeling. CoRR (2023)
Pawel Piwek, Adam Klukowski, Tianyang Hu
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification. UAI (2023)
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun
Elucidating The Design Space of Classifier-Guided Diffusion Generation. CoRR (2023)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. Trans. Mach. Learn. Res. 2023 (2023)
Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. CoRR (2022)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR (2022)
Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. NeurIPS (2022)
Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS (2022)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. CoRR (2022)
Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. CoRR (2021)
Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. AISTATS (2021)
Tianyang Hu, Yibin Yao, Jian Kong
Study of Spatial and Temporal Variations of Ionospheric Total Electron Content in Japan, during 2014-2019 and the 2016 Kumamoto Earthquake. Sensors 21 (6) (2021)
Wenjia Wang, Tianyang Hu, Cong Lin, Guang Cheng
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. CoRR (2020)
Tianyang Hu, Zuofeng Shang, Guang Cheng
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. CoRR (2020)
Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng
Stein Neural Sampler. CoRR (2018)
Suining He, Tianyang Hu, S.-H. Gary Chan
Toward Practical Deployment of Fingerprint-Based Indoor Localization. IEEE Pervasive Comput. 16 (2) (2017)
Suining He, Tianyang Hu, S.-H. Gary Chan
Contour-based Trilateration for Indoor Fingerprinting Localization. SenSys (2015)