Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Yaochu Jin

Alexander von Humboldt Professor for AI

Bielefeld University

Germany

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Germany Professors in Artificial Intelligence Artificial Intelligence professors in Germany

Articles (30)

Year:

2027

Year:

2027

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (6)

Lihua Xie

Professor

Nanyang Technological University (NTU)

SINGAPORE

View details

Liang Zhao

Full Professor

University of Sao Paulo

BRAZIL

View details

Thomas Bäck

Professor

Leiden University

NETHERLANDS

View details

Niki van Stein

Associate professor

Leiden University

NETHERLANDS

View details

Bing Xue

Professor, Deputy Head of School

Victoria University of Wellington

NEW ZEALAND

View details

Mengjie Zhang

Director

Victoria University of Wellington

NEW ZEALAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Yaochu Jin

Research Interests

Make your next move.

Explore related searches

Articles (30)

Enhancing spiking transformers with temporal feedback coding and global-local dynamic neurons

Learning capacity allocation for stable sequential learning in recurrent spiking neural networks

Deep Learning of EEG Signals for Brain Function and Injury: A Systematic Review

Bio-inspired spiking encoders for Alzheimer’s disease staging via longitudinal multi-modal neuroimaging

A Size-Imbalanced Dual Population With Complementary Search for Sparse Large-Scale Multimodal Multiobjective Optimization

A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks

Efficient Evolutionary Neural Architecture Search With Hierarchical Parameter Mapping for Monocular Depth Estimation

Environmental Knowledge-Driven Transfer Strategy With Collaborative Learning for Dynamic Constrained Multiobjective Optimization

Expensive federated many-task optimization via principal component-guided model aggregation

Learning to Decompose and Optimize for Large Scale Overlapping Problems

Large-Scale Multimodal Multiobjective Optimization Based on Multiview Diversity Enhancement Mechanism

Mirror Descent Safe Policy Optimization for Reinforcement Learning Agents

Pruning Federated Models Through Loss Landscape Analysis and Client Agreement Scoring

Attention mechanisms in Spiking Neural Networks: From neural encoding to hardware implementation

Morphology Evolution for Embodied Robot Design With a Classifier-Guided Diffusion Model

Optimization of an Implicit Acquisition Function for Federated Bayesian Many-Task Optimization

A Large-Scale Expensive Optimization Algorithm With a Multiview Synthetic Sampling

Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer

Expensive Multiobjective Optimization Guided by Attention-Enhanced Generative Models

Guiding Multiagent Multitask Reinforcement Learning by a Hierarchical Framework With Logical Reward Shaping

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues

Recent Advances in Bayesian Optimization

Optimized compressed sensing for communication efficient federated learning

Performance Indicator-Based Adaptive Model Selection for Offline Data-Driven Multiobjective Evolutionary Optimization

A self-adaptive dynamic multi-objective optimization algorithm based on transfer learning and elitism-based mutation

An adaptive n-gram transformer for multi-scale scene text recognition

An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage

A Multi-Factorial Evolutionary Algorithm With Asynchronous Optimization Processes for Solving the Robust Influence Maximization Problem

A Performance Indicator-Based Infill Criterion for Expensive Multi-/Many-Objective Optimization

Fedlabx: a practical and privacy-preserving framework for federated learning

Collaborators (6)

Lihua Xie

Liang Zhao

Thomas Bäck

Niki van Stein

Bing Xue

Mengjie Zhang

Make your next move.