Hu, Tianyang

29 publications

ICCV 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang

TMLR 2025 AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu

ICML 2025 Elucidating the Design Space of Language Models for Image Generation Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao

ICCV 2025 Learning Few-Step Diffusion Models by Trajectory Distribution Matching Yihong Luo, Tianyang Hu, Jiacheng Sun, Yujun Cai, Jing Tang

JMLR 2025 Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary Tianyang Hu, Ruiqi Liu, Zuofeng Shang, Guang Cheng

NeurIPS 2025 Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang

NeurIPS 2025 OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation Xiaoan Zhu, Yue Zhao, Tianyang Hu, Jiaming Guo, Yulan Zeng, Renjing Pei, Fenglong Song, Huajun Feng

NeurIPS 2025 Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang

ICLR 2025 You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs Yihong Luo, Xiaolong Chen, Xinghua Qu, Tianyang Hu, Jing Tang

CVPR 2024 Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li

IJCAI 2024 Deciphering the Projection Head: Representation Evaluation Self-Supervised Learning Jiajun Ma, Tianyang Hu, Wenjia Wang

ICLR 2024 Elucidating the Design Space of Classifier-Guided Diffusion Generation Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun

ICML 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

NeurIPSW 2024 In-Context Learning Behaves as a Greedy Layer-Wise Gradient Descent Algorithm Brian K Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi

ECCV 2024 JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation ChenHan Jiang, Yihan Zeng, Tianyang Hu, Songcen Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung

JMLR 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao

ICML 2024 Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao

ICML 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

NeurIPS 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

TMLR 2023 Continual Learning by Modeling Intra-Class Variation Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu

CVPR 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

NeurIPS 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

UAI 2023 Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification Paweł Piwek, Adam Klukowski, Tianyang Hu

ICML 2023 Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma

AISTATS 2023 Inducing Neural Collapse in Deep Long-Tailed Learning Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan

ICLR 2023 Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

NeurIPS 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li

NeurIPS 2022 ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

AISTATS 2021 Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng