Tianyang Hu

1. Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
   2023/05/29 by Weijian Luo, Tianyang Hu, Luo, Weijian +9 · 41 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Machine Learning in Healthcare
2. Accelerating Diffusion Sampling with Optimized Time Steps
   2024/02/27 by Shuchen Xue, Xue, Shuchen, Zhaoqiang Liu +11 · 14 citations
   Computer Science · #Speech and Audio Processing
3. Inducing Neural Collapse in Deep Long-tailed Learning
   2023/02/24 by Xuantong Liu, Jianfeng Zhang, Liu, Xuantong +9 · 4 citations
   Computer Science · #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
4. Elucidating The Design Space of Classifier-Guided Diffusion Generation
   2023/10/17 by Jiajun Ma, Tianyang Hu, Ma, Jiajun +5 · 3 citations
   Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
5. Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
   2025/03/17 by Yihong Luo, Tianyang Hu, Luo, Yihong +7 · 6 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #Computer Graphics and Visualization Techniques
6. AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures
   2024/02/21 by Yihang Gao, Chuanyang Zheng, Gao, Yihang +15 · 2 citations
   Engineering · Materials Science · #Artificial Intelligence (cs.AI) #Control and Stability of Dynamical Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Magnetic Properties and Applications #Numerical Analysis (math.NA) #Power Quality and Harmonics
7. The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
   2024/02/23 by Jiajun Ma, Shuchen Xue, Ma, Jiajun +13 · 2 citations
   Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Survey Sampling and Estimation Techniques
8. Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
   2022/05/30 by Tianyang Hu, Hu, Tianyang, Zhili Liu +7 · 1 citation
   Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms
9. Elucidating the design space of language models for image generation
   2024/10/21 by Xuantong Liu, Liu, Xuantong, Shaozhe Hao +11 · 2 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
10. Random Smoothing Regularization in Kernel Gradient Descent Learning
    2023/05/05 by Liang Ding, Ding, Liang, Tianyang Hu +9 · 1 citation
    Computer Science · Mathematics · Medicine · #Domain Adaptation and Few-Shot Learning #Statistical Methods and Inference #Radiomics and Machine Learning in Medical Imaging
11. JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation
    2024/07/17 by Chenhan Jiang, Yihan Zeng, Jiang, Chenhan +11 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Image Processing and 3D Reconstruction #Natural Language Processing Techniques
12. PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention
    2025/06/16 by Haonan Wang, Wang, Haonan, Brian Chen +9 · 1 citation
    Computer Science · #Natural Language Processing Techniques