Wuyang Chen

According to our database, Wuyang Chen authored at least 45 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search.

Jialin Lu, Soonho Kong, Rodrigo Stehling, Kaiyu Yang, Zhangyang Wang, Weiran Sun, Wuyang Chen

CoRR, May, 2026

MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety.

Jialin Song, Xiaodong Liu, Weiwei Yang, Wuyang Chen, Mingqian Feng, Xuekai Zhu, Jianfeng Gao

CoRR, May, 2026

HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes.

Mauricio Soroco, Francesco Pittaluga, Zaid Tasneem, Abhishek Aich, Bingbing Zhuang, Wuyang Chen, Manmohan Chandraker, Ziyu Jiang

CoRR, April, 2026

FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction.

Yuqiu Liu, Jialin Song, Marissa Ramirez de Chanlatte, Rochishnu Chowdhury, Rushil Paresh Desai, Wuyang Chen, Daniel Martin, Michael W. Mahoney

CoRR, March, 2026

Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge.

Siying Ma, Mehrdad M. Zadeh, Mauricio Soroco, Wuyang Chen, Jiguo Cao, Vijay Ganesh

CoRR, February, 2026

Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model.

Yuqiu Liu, Jingxuan Xu, Mauricio Soroco, Yunchao Wei, Wuyang Chen

Proceedings of the International Conference on 3D Visio, 2026

2025

Lean Finder: Semantic Search for Mathlib That Understands User Intents.

Jialin Lu, Kye Emond, Kaiyu Yang, Swarat Chaudhuri, Weiran Sun, Wuyang Chen

CoRR, October, 2025

WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild.

Yuqiu Liu, Jialin Song, Manolis Savva, Wuyang Chen

CoRR, September, 2025

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time.

Jingxuan Xu, Hong Huang, Chuhang Zou, Manolis Savva, Yunchao Wei, Wuyang Chen

CoRR, May, 2025

PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs.

Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Collapsed Language Models Promote Fairness.

Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks.

Wei Huang, Wuyang Chen, Zhiqiang Xu, Zhangyang Wang, Taiji Suzuki

Proceedings of the Conference on Parsimony and Learning, 2025

Automated, Interpretable, and Scalable Scientific Machine Learning.

Wuyang Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics.

Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang

IEEE Trans. Pattern Anal. Mach. Intell., February, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Principled Architecture-aware Scaling of Hyperparameters.

Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Transferable and Principled Efficiency for Open-Vocabulary Segmentation.

Jingxuan Xu, Wuyang Chen, Yao Zhao, Yunchao Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

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

CoRR, 2023

Lifelong Language Pretraining with Distribution-Specialized Experts.

Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui

Proceedings of the International Conference on Machine Learning, 2023

"No Free Lunch" in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization.

Wuyang Chen, Wei Huang, Zhangyang Wang

Proceedings of the International Conference on Automated Machine Learning, 2023

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices.

Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference.

Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin

ACM Trans. Design Autom. Electr. Syst., 2022

Learning to Optimize: A Primer and A Benchmark.

Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin

J. Mach. Learn. Res., 2022

Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.

Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis.

Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining.

Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Auto-scaling Vision Transformers without Training.

Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Simple Single-Scale Vision Transformer for Object Localization 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

CoRR, 2021

Font Completion and Manipulation by Cycling Between Multi-Modality Representations.

Ye Yuan, Wuyang Chen, Zhaowen Wang, Matthew Fisher, Zhifei Zhang, Zhangyang Wang, Hailin Jin

CoRR, 2021

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics.

Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang

CoRR, 2021

Sandwich Batch Normalization.

Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang

CoRR, 2021

Contrastive Syn-to-Real Generalization.

Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar

Proceedings of the 9th International Conference on Learning Representations, 2021

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective.

Wuyang Chen, Xinyu Gong, Zhangyang Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation.

Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

CoRR, 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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks.

Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Automated Synthetic-to-Real Generalization.

Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar

Proceedings of the 37th International Conference on Machine Learning, 2020

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.

Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

FasterSeg: Searching for Faster Real-time Semantic Segmentation.

Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Proceedings of the 8th International Conference on Learning Representations, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

ABD-Net: Attentive but Diverse Person Re-Identification.

Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images.

Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019