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Tianyang Hu
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2020 – today
- 2024
- [j7]Falin Wu
, Tianyang Hu
WDFA-YOLOX: A Wavelet-Driven and Feature-Enhanced Attention YOLOX Network for Ship Detection in SAR Images. Remote. Sens. 16(10): 1760 (2024) - [j6]Boyi Ma
Label-Driven Graph Convolutional Network for Multilabel Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 2245-2255 (2024) - [j5]Tianyang Hu
Improving the Computerized Ionospheric Tomography Performance Through a Neural Network-Based Initial IED Prediction Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j4]Tianyang Hu
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: 1-11 (2024) - [c18]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CVPR 2024: 8292-8301 - [c17]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. ECCV (26) 2024: 439-456 - [c16]Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun:
Elucidating the design space of classifier-guided diffusion generation. ICLR 2024 - [c15]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. ICML 2024 - [c14]Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao:
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. ICML 2024 - [c13]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. ICML 2024 - [c12]Jiajun Ma, Tianyang Hu, Wenjia Wang:
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. IJCAI 2024: 4724-4732 - [i26]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 abs/2402.13572 (2024) - [i25]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 abs/2402.15170 (2024) - [i24]Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao:
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. CoRR abs/2402.16305 (2024) - [i23]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CoRR abs/2402.17376 (2024) - [i22]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 abs/2405.15302 (2024) - [i21]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 abs/2406.02847 (2024) - [i20]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 abs/2407.12291 (2024) - 2023
- [j3]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) - [c11]Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan:
Inducing Neural Collapse in Deep Long-tailed Learning. AISTATS 2023: 11534-11544 - [c10]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: 16508-16517 - [c9]Tianyang Hu, Zhili Liu, Fengwei Zhou
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. ICLR 2023 - [c8]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: 4623-4640 - [c7]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 - [c6]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 - [c5]Pawel Piwek, Adam Klukowski, Tianyang Hu:
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification. UAI 2023: 1673-1683 - [i19]Jiajun Ma, Tianyang Hu, Wenjia Wang:
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. CoRR abs/2301.12189 (2023) - [i18]Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Lujia Pan, Yuan Yao:
Inducing Neural Collapse in Deep Long-tailed Learning. CoRR abs/2302.12453 (2023) - [i17]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 abs/2303.11052 (2023) - [i16]Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao:
Random Smoothing Regularization in Kernel Gradient Descent Learning. CoRR abs/2305.03531 (2023) - [i15]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 abs/2305.05208 (2023) - [i14]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 abs/2305.11031 (2023) - [i13]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 abs/2305.18455 (2023) - [i12]Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhiming Ma:
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. CoRR abs/2306.02595 (2023) - [i11]Pawel Piwek, Adam Klukowski, Tianyang Hu:
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification. CoRR abs/2306.08805 (2023) - [i10]Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR abs/2307.01668 (2023) - [i9]Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li:
Complexity Matters: Rethinking the Latent Space for Generative Modeling. CoRR abs/2307.08283 (2023) - [i8]Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun:
Elucidating The Design Space of Classifier-Guided Diffusion Generation. CoRR abs/2310.11311 (2023) - 2022
- [c4]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 - [c3]Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li:
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. NeurIPS 2022 - [i7]Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang:
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. CoRR abs/2205.14814 (2022) - [i6]Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu:
Continual Learning by Modeling Intra-Class Variation. CoRR abs/2210.05398 (2022) - [i5]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 abs/2210.09236 (2022) - 2021
- [j2]Tianyang Hu, Yibin Yao
Study of Spatial and Temporal Variations of Ionospheric Total Electron Content in Japan, during 2014-2019 and the 2016 Kumamoto Earthquake. Sensors 21(6): 2156 (2021) - [c2]Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng:
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. AISTATS 2021: 829-837 - [i4]Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li:
Understanding Square Loss in Training Overparametrized Neural Network Classifiers. CoRR abs/2112.03657 (2021) - 2020
- [i3]Tianyang Hu, Zuofeng Shang, Guang Cheng:
Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting. CoRR abs/2001.06892 (2020) - [i2]Wenjia Wang, Tianyang Hu, Cong Lin, Guang Cheng:
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. CoRR abs/2007.02486 (2020)
2010 – 2019
- 2018
- [i1]Tianyang Hu, Zixiang Chen, Hanxi Sun, Jincheng Bai, Mao Ye, Guang Cheng:
Stein Neural Sampler. CoRR abs/1810.03545 (2018) - 2017
- [j1]Suining He
Toward Practical Deployment of Fingerprint-Based Indoor Localization. IEEE Pervasive Comput. 16(2): 76-83 (2017) - 2015
- [c1]Suining He
Contour-based Trilateration for Indoor Fingerprinting Localization. SenSys 2015: 225-238
Coauthor Index
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last updated on 2024-11-15 20:41 CET by the dblp team
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