Yuanbin Cao

发表

Local and Global Inference for High Dimensional Nonparanormal Graphical Models

Han Liu, Quanquan Gu, Y. Ning, 2015, 1502.02347.

Hierarchical Generative Modeling for Controllable Speech Synthesis

Ron J. Weiss, P. Nguyen, Z. Chen, 2018, ICLR.

Alternating Multi-bit Quantization for Recurrent Neural Networks

Zhouchen Lin, H. Zha, Yuanbin Cao, 2018, ICLR.

A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks

Quanquan Gu, Tong Zhang, Zixiang Chen, 2020, NeurIPS.

Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins

Quanquan Gu, Spencer Frei, Yuan Cao, 2020, ICML.

Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise pdf

Yuan Cao, Quanquan Gu, Spencer Frei, 2021, ICML.

Training Deep Neural Networks with Partially Adaptive Momentum

Jinghui Chen, Yuan Cao, Quanquan Gu, 2019 .

Building Machine Translation Systems for the Next Thousand Languages

Z. Chen, Orhan Firat, Yonghui Wu, 2022, ArXiv.

Building Machine Translation Systems for the Next Thousand Languages

Z. Chen, Orhan Firat, Yonghui Wu, 2022, ArXiv.

Benign Overfitting in Two-layer Convolutional Neural Networks

Mikhail Belkin, Quanquan Gu, Yuan Cao, 2022, NeurIPS.

Show, Don’t Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue

Yonghui Wu, Abhinav Rastogi, Yuanbin Cao, 2022, NAACL.

Show, Don’t Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue

Yonghui Wu, Yuan Cao, Abhinav Rastogi, 2022, NAACL.

Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners

Yonghui Wu, Jiahui Yu, Yuanbin Cao, 2022, ArXiv.

AnyTOD: A Programmable Task-Oriented Dialog System

I. Shafran, Yonghui Wu, H. Soltau, 2022, ArXiv.

Effects of Low Temperature on the Amino Acid Composition of Wheat Grains

Yuanbin Cao, W. Cao, Bing Liu, 2022, Agronomy.

Structure Detection in High Dimensional Graphical Models

Yuan Cao, Yuanbin Cao, 2018 .

Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures pdf

Mikhail Belkin, Quanquan Gu, Yuan Cao, 2021, NeurIPS.

Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise

Quanquan Gu, Yuanbin Cao, Spencer Frei, 2021, ICML.

A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks pdf

Yuan Cao, Quanquan Gu, Quanquan Gu, 2019, ArXiv.

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Manzil Zaheer, Sewoong Oh, 2023, ArXiv.

Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis

Heiga Zen, Yu Zhang, Ron J. Weiss, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Alternating Multi-bit Quantization for Recurrent Neural Networks pdf

Hongbin Zha, Chen Xu, Zhouchen Lin, 2018, ICLR.

The Benefits of Mixup for Feature Learning

Quanquan Gu, Difan Zou, Yuan Cao, 2023, ICML.

The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks

Quanquan Gu, Difan Zou, Yuanbin Cao, 2023, ArXiv.

Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective

Taiji Suzuki, Hong Wang, Yuanbin Cao, 2023, 2306.13926.

Graph Neural Networks Provably Benefit from Structural Information: A Feature Learning Perspective

Taiji Suzuki, Hong Wang, Yuanbin Cao, 2023, ArXiv.

H OW DOES SEMI - SUPERVISED LEARNING WITH P SEUDO - LABELERS WORK ? A CASE STUDY

Quanquan Gu, Yuanbin Cao, Zixiang Chen, 2023 .

Gradient descent optimizes over-parameterized deep ReLU networks

Quanquan Gu, Difan Zou, Yuanbin Cao, 2019, Machine Learning.

Radiation as the dominant cause of high-temperature extremes on the eastern Tibetan Plateau

Yuanbin Cao, A. Kleidon, D. Zhong, 2023, Environmental Research Letters.