Shuai Zhang

Affiliations

Amazon Web Services

papers

337

total citations

papers (26)

Collaborative Unsupervised Visual Representation Learning From Decentralized Data

ICCV 2021arXiv

117

citations

Bridging Remote Sensors with Multisensor Geospatial Foundation Models

CVPR 2024arXiv

citations

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition

NEURIPS 2023arXiv

citations

Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning

NEURIPS 2023arXiv

citations

MAS: Towards Resource-Efficient Federated Multiple-Task Learning

ICCV 2023arXiv

citations

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

AAAI 2024arXiv

citations

Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter

CVPR 2025arXiv

citations

PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS

ICLR 2025arXiv

citations

FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data

ICML 2024arXiv

citations

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning

ICML 2024arXiv

citations

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation

AAAI 2024

citations

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck

ICLR 2025

citations

Prompt Tuning In a Compact Attribute Space

AAAI 2025

citations

Code-switching Mediated Sentence-level Semantic Learning

AAAI 2025

citations

Neural Jump-Diffusion Temporal Point Processes

ICML 2024

citations

Data-Informed Geometric Space Selection

NEURIPS 2023

citations

On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration

NEURIPS 2023

citations

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences

NEURIPS 2022

citations

Jump Self-attention: Capturing High-order Statistics in Transformers

NEURIPS 2022

citations

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks

NEURIPS 2021

citations

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection

AAAI 2025

citations

S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation

AAAI 2025

citations

Shuai Zhang

Affiliations

papers (26)

Collaborative Unsupervised Visual Representation Learning From Decentralized Data

Bridging Remote Sensors with Multisensor Geospatial Foundation Models

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition

Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning

MAS: Towards Resource-Efficient Federated Multiple-Task Learning

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach

Offline Imitation Learning with Variational Counterfactual Reasoning

MobileInst: Video Instance Segmentation on the Mobile

Transferring Knowledge From Large Foundation Models to Small Downstream Models

PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS

FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck

Prompt Tuning In a Compact Attribute Space

Code-switching Mediated Sentence-level Semantic Learning

Neural Jump-Diffusion Temporal Point Processes

Data-Informed Geometric Space Selection

On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences

Jump Self-attention: Capturing High-order Statistics in Transformers

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection

S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation

papers (26)

Collaborative Unsupervised Visual Representation Learning From Decentralized Data

Bridging Remote Sensors with Multisensor Geospatial Foundation Models

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition

Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning

MAS: Towards Resource-Efficient Federated Multiple-Task Learning

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach

Offline Imitation Learning with Variational Counterfactual Reasoning

MobileInst: Video Instance Segmentation on the Mobile

Transferring Knowledge From Large Foundation Models to Small Downstream Models

PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS

FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data

SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation

Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck

Prompt Tuning In a Compact Attribute Space

Code-switching Mediated Sentence-level Semantic Learning

Neural Jump-Diffusion Temporal Point Processes

Data-Informed Geometric Space Selection

On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration

AutoST: Towards the Universal Modeling of Spatio-temporal Sequences

Jump Self-attention: Capturing High-order Statistics in Transformers

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks

MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection

S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation