TH
Tianyang Hu
cs.LGcs.CVstat.MLcs.AImath.STstat.THcs.CLcs.NAmath.NAstat.ME
On Valency
published · living versionsW_fmpb6t8k·v1 · currentpublished
Nonparametric In-Context Learning and Inference via Measure-Indexed Kernel Ridge Regression
with Zuofeng Shang, Fan Yang, Yingcong Li
1 version
Preprints & journals
29 papers in the corpus · 2018–2026Nonparametric In-Context Learning and Inference via Measure-Indexed Kernel Ridge Regression2610.28056v1 · Zuofeng Shang, Tianyang Hu, Fan Yang et al.2026 · 0 citationsarXivon Valency
OrderGPT: Generation Order as a Learnable Modeling Choice2610.25949v1 · Chenhe Yang, Yuhuan Lyu, Tianyang Hu2026 · 0 citationsarXivon Valency
Designing Transformers for Continuous Diffusion Language Models2610.22330v1 · Weijian Luo, Yujian Chen, Hao Jiang et al.2026 · 0 citationsarXiv
Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels2610.13674v1 · Weiqi Sun, Qianyue Wu, Wenjia Wang et al.2026 · 0 citationsarXiv
Autoregressive Visual Generation Needs a Prologue2605.06137v2 · Bowen Zheng, Weijian Luo, Guang Yang et al.2026 · 0 citationsarXiv
Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow2605.06148v1 · Bowen Zheng, Yihong Luo, Tianyang Hu2026 · 0 citationsarXiv
Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation2605.06207v1 · Bowen Zheng, Weijian Luo, Guang Yang et al.2026 · 0 citationsarXiv
TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward2603.07700v1 · Yihong Luo, Tianyang Hu, Weijian Luo et al.2026 · 0 citationsarXiv
Reinforcing Diffusion Models by Direct Group Preference Optimization2510.08425v1 · Yihong Luo, Tianyang Hu, Jing Tang2025 · 0 citationsarXiv
Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls2506.19741v1 · Yihong Luo, Shuchen Xue, Tianyang Hu et al.2025 · 0 citationsarXiv
Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation2503.13070v2 · Yihong Luo, Tianyang Hu, Weijian Luo et al.2025 · 0 citationsarXiv
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation2407.12291v2 · Chenhan Jiang, Yihan Zeng, Tianyang Hu et al.2024 · 7 citationsarXiv
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers2406.02847v2 · Brian K Chen, Tianyang Hu, Hui Jin et al.2024 · 0 citationsarXiv
Accelerating Diffusion Sampling with Optimized Time Steps2402.17376v3 · Shuchen Xue, Zhaoqiang Liu, Fei Chen et al.2024 · 28 citationsarXiv
AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures2402.13572v2 · Yihang Gao, Chuanyang Zheng, Enze Xie et al.2024 · 0 citationsarXiv
Elucidating The Design Space of Classifier-Guided Diffusion Generation2310.11311v1 · Jiajun Ma, Tianyang Hu, Wenjia Wang et al.2023 · 1 citationarXiv
Training Energy-Based Models with Diffusion Contrastive Divergences2307.01668v1 · Weijian Luo, Hao Jiang, Tianyang Hu et al.2023 · 1 citationarXiv
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification2306.08805v1 · PawełPiwek, Adam Klukowski, Tianyang Hu2023 · 0 citationsarXiv
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization2306.02595v1 · Yimeng Chen, Tianyang Hu, Fengwei Zhou et al.2023 · 1 citationarXiv
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis2305.11031v1 · Shoukang Hu, Kaichen Zhou, Kaiyu Li et al.2023 · 7 citationsarXiv
Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data2305.05208v3 · Haonan Wang, Minbin Huang, Runhui Huang et al.2023 · 6 citationsarXiv
Random Smoothing Regularization in Kernel Gradient Descent Learning2305.03531v2 · Liang Ding, Tianyang Hu, Jiahang Jiang et al.2023 · 0 citationsarXiv
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning2303.11052v3 · Hao Yang, Lanqing Hong, Aoxue Li et al.2023 · 24 citationsarXiv
Inducing Neural Collapse in Deep Long-tailed Learning2302.12453v1 · Xuantong Liu, Jianfeng Zhang, Tianyang Hu et al.2023 · 8 citationsarXiv
Continual Learning by Modeling Intra-Class Variation2210.05398v2 · Longhui Yu, Tianyang Hu, Lanqing Hong et al.2022 · 5 citationsarXiv
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary2207.01602v1 · Tianyang Hu, Ruiqi Liu, Zuofeng Shang et al.2022 · 1 citationarXiv
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network2007.02486v2 · Tianyang Hu, Wenjia Wang, Cong Lin et al.2020 · 19 citationsarXiv
Sharp Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting2001.06892v2 · Tianyang Hu, Zuofeng Shang, Guang Cheng2020 · 4 citationsarXiv
Stein Neural Sampler1810.03545v2 · Tianyang Hu, Zixiang Chen, Hanxi Sun et al.2018 · 21 citationsarXiv
Career total: 31 works. 29 are in this corpus.
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