Wuyang Chen - RankMe

64 papers A* 20A 2Journal 37Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction. CoRR Yuqiu Liu, Jialin Song, Marissa Ramirez de Chanlatte, Rochishnu Chowdhury, Rushil Paresh Desai, Wuyang Chen, Daniel Martin, Michael W. Mahoney
2026	J	`jnl`	Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge. CoRR Siying Ma, Mehrdad M. Zadeh, Mauricio Soroco, Wuyang Chen, Jiguo Cao, Vijay Ganesh
2025	A*	`conf`	Automated, Interpretable, and Scalable Scientific Machine Learning. AAAI Wuyang Chen
2025	A*	`conf`	Collapsed Language Models Promote Fairness. ICLR Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei
2025	—	`conf`	Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks. CPAL Wei Huang, Wuyang Chen, Zhiqiang Xu, Zhangyang Wang, Taiji Suzuki
2025	J	`jnl`	Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time. CoRR Jingxuan Xu, Hong Huang, Chuhang Zou, Manolis Savva, Yunchao Wei, Wuyang Chen
2025	J	`jnl`	Lean Finder: Semantic Search for Mathlib That Understands User Intents. CoRR Jialin Lu, Kye Emond, Kaiyu Yang, Swarat Chaudhuri, Weiran Sun, Wuyang Chen
2025	A*	`conf`	On the Role of Label Noise in the Feature Learning Process. ICML Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
2025	J	`jnl`	On the Role of Label Noise in the Feature Learning Process. CoRR Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
2025	A*	`conf`	PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs. ICML Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen
2025	J	`jnl`	PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs. CoRR Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen
2025	J	`jnl`	WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild. CoRR Yuqiu Liu, Jialin Song, Manolis Savva, Wuyang Chen
2024	J	`jnl`	Collapsed Language Models Promote Fairness. CoRR Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei
2024	J	`jnl`	Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model. CoRR Yuqiu Liu, Jingxuan Xu, Mauricio Soroco, Yunchao Wei, Wuyang Chen
2024	A*	`conf`	Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. NeurIPS Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
2024	J	`jnl`	Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. CoRR Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
2024	A*	`conf`	Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 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
2024	A*	`conf`	Principled Architecture-aware Scaling of Hyperparameters. ICLR Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
2024	J	`jnl`	Principled Architecture-aware Scaling of Hyperparameters. CoRR Wuyang Chen, Junru Wu, Zhangyang Wang, Boris Hanin
2024	A*	`conf`	Transferable and Principled Efficiency for Open-Vocabulary Segmentation. CVPR Jingxuan Xu, Wuyang Chen, Yao Zhao, Yunchao Wei
2024	J	`jnl`	Transferable and Principled Efficiency for Open-Vocabulary Segmentation. CoRR Jingxuan Xu, Wuyang Chen, Yao Zhao, Yunchao Wei
2024	J	`jnl`	Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. IEEE Trans. Pattern Anal. Mach. Intell. Wuyang Chen, Xinyu Gong, Junru Wu, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
2023	—	`conf`	"No Free Lunch" in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization. AutoML Wuyang Chen, Wei Huang, Zhangyang Wang
2023	—	`conf`	Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. ASP-DAC Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao
2023	J	`jnl`	Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR 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
2023	A*	`conf`	Lifelong Language Pretraining with Distribution-Specialized Experts. ICML Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
2023	J	`jnl`	Lifelong Language Pretraining with Distribution-Specialized Experts. CoRR Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui
2022	—	`conf`	A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. ECCV (10) Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	A*	`conf`	Auto-scaling Vision Transformers without Training. ICLR Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	J	`jnl`	Auto-scaling Vision Transformers without Training. CoRR Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. ACM Trans. Design Autom. Electr. Syst. Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2022	J	`jnl`	Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. CoRR Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao
2022	A*	`conf`	Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis. NeurIPS Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang
2022	J	`jnl`	Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis. CoRR Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang
2022	A*	`conf`	Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining. ICLR Lu Miao, Xiaolong Luo, Tianlong Chen, Wuyang Chen, Dong Liu, Zhangyang Wang
2022	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2022	A	`conf`	Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity. WACV Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. CoRR Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2021	A*	`conf`	Contrastive Syn-to-Real Generalization. ICLR Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021	J	`jnl`	Contrastive Syn-to-Real Generalization. CoRR Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, José M. Álvarez, Zhangyang Wang, Anima Anandkumar
2021	J	`jnl`	DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. CoRR Chaojian Li, Wuyang Chen, Yuchen Gu, Tianlong Chen, Yonggan Fu, Zhangyang Wang, Yingyan Lin
2021	J	`jnl`	Font Completion and Manipulation by Cycling Between Multi-Modality Representations. CoRR Ye Yuan, Wuyang Chen, Zhaowen Wang, Matthew Fisher, Zhifei Zhang, Zhangyang Wang, Hailin Jin
2021	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. CoRR Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2021	A*	`conf`	Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. ICLR Wuyang Chen, Xinyu Gong, Zhangyang Wang
2021	J	`jnl`	Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. CoRR Wuyang Chen, Xinyu Gong, Zhangyang Wang
2021	J	`jnl`	Sandwich Batch Normalization. CoRR Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang
2021	J	`jnl`	Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. CoRR Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang
2020	A*	`conf`	AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. ICML Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
2020	J	`jnl`	AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. CoRR Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
2020	J	`jnl`	AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation. CoRR Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
2020	A*	`conf`	Automated Synthetic-to-Real Generalization. ICML Wuyang Chen, Zhiding Yu, Zhangyang Wang, Animashree Anandkumar
2020	J	`jnl`	Automated Synthetic-to-Real Generalization. CoRR Wuyang Chen, Zhiding Yu, Zhangyang Wang, Anima Anandkumar
2020	A	`conf`	Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. WACV Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
2020	A*	`conf`	FasterSeg: Searching for Faster Real-time Semantic Segmentation. ICLR Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
2020	—	`conf`	In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. CVPR Workshops Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang
2020	A*	`conf`	Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. ICML Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2020	J	`jnl`	Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. CoRR Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang
2019	A*	`conf`	ABD-Net: Attentive but Diverse Person Re-Identification. ICCV Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
2019	J	`jnl`	ABD-Net: Attentive but Diverse Person Re-Identification. CoRR Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
2019	J	`jnl`	Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. CoRR Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
2019	A*	`conf`	Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CVPR Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian
2019	J	`jnl`	Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CoRR Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian
2019	J	`jnl`	FasterSeg: Searching for Faster Real-time Semantic Segmentation. CoRR Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
2019	J	`jnl`	In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. CoRR Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang