Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. - Wuyang Chen 001; Ziyu Jiang; Zhangyang Wang; Kexin Cui; Xiaoning Qian (CVPR, 2019)

ABD-Net: Attentive but Diverse Person Re-Identification. - Tianlong Chen 001; Shaojin Ding; Jingyi Xie; Ye Yuan 012; Wuyang Chen 001; Yang Yang; Zhou Ren; Zhangyang Wang (ICCV, 2019)

In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation. - Ye Yuan 012; Wuyang Chen 001; Yang Yang; Zhangyang Wang (CVPR Workshops, 2020)

FasterSeg: Searching for Faster Real-time Semantic Segmentation. - Wuyang Chen 001; Xinyu Gong; Xianming Liu; Qian Zhang; Yuan Li; Zhangyang Wang (ICLR, 2020)

Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training. - Xuxi Chen; Wuyang Chen 001; Tianlong Chen 001; Ye Yuan 012; Chen Gong; Kewei Chen 001; Zhangyang Wang (ICML, 2020)

Automated Synthetic-to-Real Generalization. - Wuyang Chen 001; Zhiding Yu; Zhangyang Wang; Animashree Anandkumar (ICML, 2020)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks. - Yonggan Fu; Wuyang Chen 001; Haotao Wang; Haoran Li; Yingyan Lin; Zhangyang Wang (ICML, 2020)

Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification. - Ye Yuan 012; Wuyang Chen 001; Tianlong Chen 001; Yang Yang; Zhou Ren; Zhangyang Wang; Gang Hua 001 (WACV, 2020)

AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation. - Xinyu Gong; Wuyang Chen 001; Yifan Jiang 001; Ye Yuan 012; Xianming Liu; Qian Zhang; Yuan Li; Zhangyang Wang (CoRR, 2020)

Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective. - Wuyang Chen 001; Xinyu Gong; Zhangyang Wang (ICLR, 2021)

Contrastive Syn-to-Real Generalization. - Wuyang Chen 001; Zhiding Yu; Shalini De Mello; Sifei Liu; José M. Álvarez 004; Zhangyang Wang; Anima Anandkumar (ICLR, 2021)

Sandwich Batch Normalization. - Xinyu Gong; Wuyang Chen 001; Tianlong Chen 001; Zhangyang Wang (CoRR, 2021)

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. - Wuyang Chen 001; Xinyu Gong; Yunchao Wei; Humphrey Shi; Zhicheng Yan 001; Yi Yang 001; Zhangyang Wang (CoRR, 2021)

Font Completion and Manipulation by Cycling Between Multi-Modality Representations. - Ye Yuan 012; Wuyang Chen 001; Zhaowen Wang; Matthew Fisher; Zhifei Zhang; Zhangyang Wang; Hailin Jin (CoRR, 2021)

A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation. - Wuyang Chen 001; Xianzhi Du; Fan Yang; Lucas Beyer; Xiaohua Zhai; Tsung-Yi Lin; Huizhong Chen; Jing Li; Xiaodan Song; Zhangyang Wang; Denny Zhou (CoRR, 2021)

A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation. - Wuyang Chen 001; Xianzhi Du; Fan Yang; Lucas Beyer; Xiaohua Zhai; Tsung-Yi Lin; Huizhong Chen; Jing Li; Xiaodan Song; Zhangyang Wang; Denny Zhou (ECCV (10), 2022)

Auto-scaling Vision Transformers without Training. - Wuyang Chen 001; Wei Huang 034; Xianzhi Du; Xiaodan Song; Zhangyang Wang; Denny Zhou (ICLR, 2022)

Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining. - Lu Miao; Xiaolong Luo; Tianlong Chen 001; Wuyang Chen 001; Dong Liu 002; Zhangyang Wang (ICLR, 2022)

Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis. - Wuyang Chen 001; Wei Huang 034; Xinyu Gong; Boris Hanin; Zhangyang Wang (NeurIPS, 2022)

Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity. - Xinyu Gong; Wuyang Chen 001; Tianlong Chen 001; Zhangyang Wang (WACV, 2022)

Learning to Optimize: A Primer and A Benchmark. - Tianlong Chen 001; Xiaohan Chen; Wuyang Chen 001; Howard Heaton; Jialin Liu 003; Zhangyang Wang; Wotao Yin (J. Mach. Learn. Res., 2022)

DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference. - Chaojian Li; Wuyang Chen 001; Yuchen Gu; Tianlong Chen 001; Yonggan Fu; Zhangyang Wang; Yingyan Lin (ACM Trans. Design Autom. Electr. Syst., 2022)

Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. - Yimeng Zhang; Akshay Karkal Kamath; Qiucheng Wu; Zhiwen Fan; Wuyang Chen 001; Zhangyang Wang; Shiyu Chang; Sijia Liu 001; Cong Hao (ASP-DAC, 2023)

"No Free Lunch" in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization. - Wuyang Chen 001; Wei Huang 034; Zhangyang Wang (AutoML, 2023)

Lifelong Language Pretraining with Distribution-Specialized Experts. - Wuyang Chen 001; Yanqi Zhou; Nan Du 002; Yanping Huang; James Laudon; Zhifeng Chen; Claire Cui (ICML, 2023)

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (CoRR, 2023)

Transferable and Principled Efficiency for Open-Vocabulary Segmentation. - Jingxuan Xu; Wuyang Chen 001; Yao Zhao 001; Yunchao Wei (CVPR, 2024)

Principled Architecture-aware Scaling of Hyperparameters. - Wuyang Chen 001; Junru Wu; Zhangyang Wang; Boris Hanin (ICLR, 2024)

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (ICLR, 2024)

Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning. - Wuyang Chen 001; Jialin Song; Pu Ren; Shashank Subramanian; Dmitriy Morozov; Michael W. Mahoney (NeurIPS, 2024)

Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model. - Yuqiu Liu; Jingxuan Xu; Mauricio Soroco; Yunchao Wei; Wuyang Chen 001 (CoRR, 2024)

Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics. - Wuyang Chen 001; Xinyu Gong; Junru Wu; Yunchao Wei; Humphrey Shi; Zhicheng Yan 001; Yi Yang 001; Zhangyang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Automated, Interpretable, and Scalable Scientific Machine Learning. - Wuyang Chen 001 (AAAI, 2025)

Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks. - Wei Huang 034; Wuyang Chen 001; Zhiqiang Xu 003; Zhangyang Wang; Taiji Suzuki (CPAL, 2025)

Collapsed Language Models Promote Fairness. - Jingxuan Xu; Wuyang Chen 001; Linyi Li; Yao Zhao 001; Yunchao Wei (ICLR, 2025)

PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs. - Mauricio Soroco; Jialin Song; Mengzhou Xia; Kye Emond; Weiran Sun; Wuyang Chen 001 (CoRR, 2025)

On the Role of Label Noise in the Feature Learning Process. - Andi Han; Wei Huang 034; Zhanpeng Zhou; Gang Niu 001; Wuyang Chen 001; Junchi Yan; Akiko Takeda; Taiji Suzuki (CoRR, 2025)

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time. - Jingxuan Xu; Hong Huang; Chuhang Zou; Manolis Savva; Yunchao Wei; Wuyang Chen 001 (CoRR, 2025)