Chen, Wuyang

29 publications

AAAI 2025 Automated, Interpretable, and Scalable Scientific Machine Learning Wuyang Chen

ICLR 2025 Collapsed Language Models Promote Fairness Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei

CPAL 2025 Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks Wei Huang, Wuyang Chen, Zhiqiang Xu, Zhangyang Wang, Taiji Suzuki

IJCAI 2025 On the Learning with Augmented Class via Forests Fan Xu, Wuyang Chen, Wei Gao

ICML 2025 On the Role of Label Noise in the Feature Learning Process Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki

ICML 2025 PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen

ICLRW 2025 PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen

NeurIPS 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

ICLRW 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

ICLR 2024 Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

ICLR 2024 Principled Architecture-Aware Scaling of Hyperparameters Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin

ICMLW 2024 Training-Free Design of Augmentations with Data-Centric Principles Jieke Wu, Wei Huang, Mingyuan Bai, Xiaoling Hu, Yi Duan, Wuyang Chen

CVPR 2024 Transferable and Principled Efficiency for Open-Vocabulary Segmentation Jingxuan Xu, Wuyang Chen, Yao Zhao, Yunchao Wei

ICML 2023 Lifelong Language Pretraining with Distribution-Specialized Experts Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui

AutoML 2023 “No Free Lunch” in Neural Architectures? a Joint Analysis of Expressivity, Convergence, and Generalization Wuyang Chen, Wei Huang, Zhangyang Wang

ECCV 2022 A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou

ICLR 2022 Auto-Scaling Vision Transformers Without Training Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

NeurIPS 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang

ICLR 2022 Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining Miao Lu, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang

JMLR 2022 Learning to Optimize: A Primer and a Benchmark Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin

WACV 2022 Sandwich Batch Normalization: A Drop-in Replacement for Feature Distribution Heterogeneity Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang

ICLR 2021 Contrastive Syn-to-Real Generalization Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar

ICLR 2021 Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective Wuyang Chen, Xinyu Gong, Zhangyang Wang

ICML 2020 AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

ICML 2020 Automated Synthetic-to-Real Generalization Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar

WACV 2020 Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua

ICLR 2020 FasterSeg: Searching for Faster Real-Time Semantic Segmentation Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

CVPRW 2020 In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang

ICML 2020 Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang