| 2025 | EMNLP | Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism. | Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu |
| 2025 | ICCV | Learning Few-Step Diffusion Models by Trajectory Distribution Matching. | Yihong Luo, Tianyang Hu, Jiacheng Sun, Yujun Cai, Jing Tang |
| 2025 | ICCV | Adding Additional Control to One-Step Diffusion with Joint Distribution Matching. | Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang |
| 2025 | ICLR | 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 |
| 2025 | ICML | Elucidating the design space of language models for image generation. | Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao |
| 2025 | ICRA | MARF: Cooperative Multi-Agent Path Finding with Reinforcement Learning and Frenet Lattice in Dynamic Environments. | Tianyang Hu, Zhen Zhang, Chengrui Zhu, Gang Xu, Yuchen Wu, Huifeng Wu, Yong Liu |
| 2025 | IROS | LITE: A Learning-Integrated Topological Explorer for Multi-Floor Indoor Environments. | Junhao Chen, Zhen Zhang, Chengrui Zhu, Xiaojun Hou, Tianyang Hu, Huifeng Wu, Yong Liu |
| 2025 | NAACL | Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. | Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi |
| 2024 | CVPR | Accelerating Diffusion Sampling with Optimized Time Steps. | Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li |
| 2024 | ECCV | JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation. | Chenhan Jiang, Yihan Zeng, Tianyang Hu, Songcun Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung |
| 2024 | ICLR | Elucidating the design space of classifier-guided diffusion generation. | Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun |
| 2024 | ICML | 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 |
| 2024 | ICML | Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion. | Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao |
| 2024 | ICML | 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 |
| 2024 | IJCAI | Deciphering the Projection Head: Representation Evaluation Self-supervised Learning. | Jiajun Ma, Tianyang Hu, Wenjia Wang |
| 2023 | AISTATS | Inducing Neural Collapse in Deep Long-tailed Learning. | Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao, Lujia Pan |
| 2023 | CVPR | 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 |
| 2023 | ICLR | Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding. | Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang |
| 2023 | ICML | Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization. | Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma |
| 2023 | UAI | Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification. | Pawel Piwek, Adam Klukowski, Tianyang Hu |
| 2021 | AISTATS | Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network. | Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng |
| 2015 | SENSYS | Contour-based Trilateration for Indoor Fingerprinting Localization. | Suining He, Tianyang Hu, S.-H. Gary Chan |