Yuan Yao

Orcid: 0000-0002-0196-8887

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong
  • Peking University, School of Mathematical Sciences, Beijing, China
  • Stanford University, CA, USA
  • University of California, Berkeley, CA, USA (PhD 2006)


According to our database1, Yuan Yao authored at least 79 papers between 2010 and 2024.

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Bibliography

2024
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation.
CoRR, 2024

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness.
CoRR, 2024

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes.
CoRR, 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis.
CoRR, 2024

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning.
CoRR, 2024

Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024


2023
Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language.
CoRR, 2023

Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches.
CoRR, 2023

Random Smoothing Regularization in Kernel Gradient Descent Learning.
CoRR, 2023

Transfer Visual Prompt Generator across LLMs.
CoRR, 2023

VPGTrans: Transfer Visual Prompt Generator across LLMs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inducing Neural Collapse in Deep Long-tailed Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Spatial relation learning in complementary scenarios with deep neural networks.
Frontiers Neurorobotics, September, 2022

Image-to-Video Generation via 3D Facial Dynamics.
IEEE Trans. Circuits Syst. Video Technol., 2022

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding.
CoRR, 2022

On Private Online Convex Optimization: Optimal Algorithms in 𝓁<sub>p</sub>-Geometry and High Dimensional Contextual Bandits.
CoRR, 2022

Optimizing Random Mixup with Gaussian Differential Privacy.
CoRR, 2022

Private Streaming SCO in ℓ<sub>p</sub> geometry with Applications in High Dimensional Online Decision Making.
Proceedings of the International Conference on Machine Learning, 2022

2021
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.
IEEE Trans. Knowl. Data Eng., 2021

On ADMM in Deep Learning: Convergence and Saturation-Avoidance.
J. Mach. Learn. Res., 2021

Evaluating Visual Properties via Robust HodgeRank.
Int. J. Comput. Vis., 2021

A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer.
CoRR, 2021

On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization.
CoRR, 2021

Visual Distant Supervision for Scene Graph Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Partial Rank Aggregation for Personalized Attributes.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Crossmodal Language Grounding in an Embodied Neurocognitive Model.
Frontiers Neurorobotics, 2020

Leveraging both Lesion Features and Procedural Bias in Neuroimaging: An Dual-Task Split dynamics of inverse scale space.
CoRR, 2020

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths.
Proceedings of the 37th International Conference on Machine Learning, 2020

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming.
IEEE Trans. Signal Process., 2019

From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Bootstrapping Knowledge Graphs From Images and Text.
Frontiers Neurorobotics, 2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size.
CoRR, 2019

Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence.
CoRR, 2019

S<sup>2</sup>-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning.
CoRR, 2019

A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning.
CoRR, 2019

Zero-Shot Learning Via Recurrent Knowledge Transfer.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Global Convergence of Block Coordinate Descent in Deep Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees.
CoRR, 2018

A Margin-based MLE for Crowdsourced Partial Ranking.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training.
Proceedings of the 6th International Conference on Learning Representations, 2018

Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

A Unified Dynamic Approach to Sparse Model Selection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit.
CoRR, 2017

Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics.
CoRR, 2017

Exploring Outliers in Crowdsourced Ranking for QoE.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Split LBI: An Iterative Regularization Path with Structural Sparsity.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs.
CoRR, 2015

Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation.
IEEE Trans. Multim., 2014

Compressive Network Analysis.
IEEE Trans. Autom. Control., 2014

Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience.
CoRR, 2014

Robust Statistical Ranking: Theory and Algorithms.
CoRR, 2014

Interestingness Prediction by Robust Learning to Rank.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Property management in wireless sensor networks with overcomplete radon bases.
ACM Trans. Sens. Networks, 2013

Robust evaluation for quality of experience in crowdsourcing.
Proceedings of the ACM Multimedia Conference, 2013

2012
HodgeRank on Random Graphs for Subjective Video Quality Assessment.
IEEE Trans. Multim., 2012

Detecting Network Cliques with Radon Basis Pursuit.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Online crowdsourcing subjective image quality assessment.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011
Random partial paired comparison for subjective video quality assessment via hodgerank.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Overcomplete Radon bases for target property management in sensor networks.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

Simulating human saccadic scanpaths on natural images.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Constructing Multi-Resolution Markov State Models (MSMs) to Elucidate RNA Hairpin Folding Mechanisms.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010


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