Search by mobile image based on visual and spatial consistency. - Xianglong Liu 001; Yihua Lou; Adams Wei Yu; Bo Lang (ICME, 2011)

Music identification via vocabulary tree with MFCC peaks. - Tianjing Xu; Adams Wei Yu; Xianglong Liu 001; Bo Lang (MIRUM, 2011)

Efficient Euclidean Projections onto the Intersection of Norm Balls. - Adams Wei Yu; Hao Su 001; Li Fei-Fei 001 (ICML, 2012)

Reverse Top-k search using random walk with restart. - Adams Wei Yu (2013)

Saddle Points and Accelerated Perceptron Algorithms. - Adams Wei Yu; Fatma Kilinç-Karzan; Jaime G. Carbonell (ICML, 2014)

Efficient Structured Matrix Rank Minimization. - Adams Wei Yu; Wanli Ma; Yaoliang Yu; Jaime G. Carbonell; Suvrit Sra (NIPS, 2014)

Reverse Top-k Search using Random Walk with Restart. - Adams Wei Yu; Nikos Mamoulis; Hao Su 001 (Proc. VLDB Endow., 2014)

Probabilistic modeling of scenes using object frames. - Hao Su 001; Adams Wei Yu (Sci. China Inf. Sci., 2015)

AdaDelay: Delay Adaptive Distributed Stochastic Convex Optimization. - Suvrit Sra; Adams Wei Yu; Mu Li 003; Alexander J. Smola (CoRR, 2015)

Doubly Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization with Factorized Data. - Adams Wei Yu; Qihang Lin; Tianbao Yang (CoRR, 2015)

AdaDelay: Delay Adaptive Distributed Stochastic Optimization. - Suvrit Sra; Adams Wei Yu; Mu Li 003; Alexander J. Smola (AISTATS, 2016)

An Improved Gap-Dependency Analysis of the Noisy Power Method. - Maria-Florina Balcan; Simon Shaolei Du; Yining Wang 001; Adams Wei Yu (COLT, 2016)

Learning to Skim Text. - Adams Wei Yu; Hongrae Lee; Quoc V. Le (ACL (1), 2017)

Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training. - Adams Wei Yu; Qihang Lin; Ruslan Salakhutdinov; Jaime G. Carbonell (CoRR, 2017)

Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. - Lei Huang 015; Xianglong Liu 001; Bo Lang; Adams Wei Yu; Bo Li 026 (CoRR, 2017)

On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models. - Yining Wang 001; Adams Wei Yu; Aarti Singh (J. Mach. Learn. Res., 2017)

Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. - Lei Huang 015; Xianglong Liu 001; Bo Lang; Adams Wei Yu; Yongliang Wang; Bo Li 026 (AAAI, 2018)

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension. - Adams Wei Yu; David Dohan; Minh-Thang Luong; Rui Zhao; Kai Chen 010; Mohammad Norouzi 002; Quoc V. Le (ICLR (Poster), 2018)

Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. - Yingxiang Yang; Adams Wei Yu; Zhaoran Wang 001; Tuo Zhao (CoRR, 2018)

DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization. - Lin Xiao; Adams Wei Yu; Qihang Lin; Weizhu Chen (J. Mach. Learn. Res., 2019)

Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. - Xinyun Chen; Chen Liang; Adams Wei Yu; Denny Zhou; Dawn Song; Quoc V. Le (ICLR, 2020)

Compositional Generalization via Neural-Symbolic Stack Machines. - Xinyun Chen; Chen Liang; Adams Wei Yu; Dawn Song; Denny Zhou (NeurIPS, 2020)

AutoHAS: Differentiable Hyper-parameter and Architecture Search. - Xuanyi Dong; Mingxing Tan; Adams Wei Yu; Daiyi Peng; Bogdan Gabrys; Quoc V. Le (CoRR, 2020)

Effective and Efficient Learning at Scale. - Adams Wei Yu (2020)

Towards Zero-Label Language Learning. - Zirui Wang; Adams Wei Yu; Orhan Firat; Yuan Cao 007 (CoRR, 2021)

Combined Scaling for Zero-shot Transfer Learning. - Hieu Pham 001; Zihang Dai; Golnaz Ghiasi; Hanxiao Liu; Adams Wei Yu; Minh-Thang Luong; Mingxing Tan; Quoc V. Le (CoRR, 2021)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; Adams Wei Yu; Tianjian Meng; Benjamin Caine; Jiquan Ngiam; Daiyi Peng; Junyang Shen; Yifeng Lu; Denny Zhou; Quoc V. Le; Alan L. Yuille; Mingxing Tan (CVPR, 2022)

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. - Zirui Wang; Jiahui Yu; Adams Wei Yu; Zihang Dai; Yulia Tsvetkov; Yuan Cao 007 (ICLR, 2022)

Finetuned Language Models are Zero-Shot Learners. - Jason Wei; Maarten Bosma; Vincent Y. Zhao; Kelvin Guu; Adams Wei Yu; Brian Lester; Nan Du 002; Andrew M. Dai; Quoc V. Le (ICLR, 2022)

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. - Nan Du 002; Yanping Huang; Andrew M. Dai; Simon Tong; Dmitry Lepikhin; Yuanzhong Xu; Maxim Krikun; Yanqi Zhou; Adams Wei Yu; Orhan Firat; Barret Zoph; Liam Fedus; et al. (ICML, 2022)

Does GNN Pretraining Help Molecular Representation? - Ruoxi Sun 002; Hanjun Dai; Adams Wei Yu (NeurIPS, 2022)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; Adams Wei Yu; Tianjian Meng; Benjamin Caine; Jiquan Ngiam; Daiyi Peng; Junyang Shen; Bo Wu; Yifeng Lu; Denny Zhou; Quoc V. Le; Alan L. Yuille; et al. (CoRR, 2022)

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. - Sang Michael Xie; Hieu Pham 001; Xuanyi Dong; Nan Du 002; Hanxiao Liu; Yifeng Lu; Percy Liang; Quoc V. Le; Tengyu Ma 001; Adams Wei Yu (NeurIPS, 2023)

Combined scaling for zero-shot transfer learning. - Hieu Pham 001; Zihang Dai; Golnaz Ghiasi; Kenji Kawaguchi; Hanxiao Liu; Adams Wei Yu; Jiahui Yu; Yi-Ting Chen; Minh-Thang Luong; Yonghui Wu; Mingxing Tan; Quoc V. Le (Neurocomputing, 2023)

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. - Zhecan Wang; Garrett Bingham; Adams Wei Yu; Quoc V. Le; Thang Luong; Golnaz Ghiasi (ECCV (77), 2024)

Large Language Models Cannot Self-Correct Reasoning Yet. - Jie Huang 009; Xinyun Chen; Swaroop Mishra; Huaixiu Steven Zheng; Adams Wei Yu; Xinying Song; Denny Zhou (ICLR, 2024)