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

Fei Ma

Xi’an Jiaotong-Liverpool University

China

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 Organic Chemistry

Articles (14)

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Collaborators (7)

Xianglin Qiu

Xi’an Jiaotong-Liverpool University

CHINA

View details

Trevor Mahy

Principal Language Lecturer

Xi’an Jiaotong-Liverpool University

CHINA

View details

Enggee Lim

Dean of school

Xi’an Jiaotong-Liverpool University

CHINA

View details

Chengyu Wang

Assistant Professor

Xi’an Jiaotong-Liverpool University

CHINA

View details

Juming Shen

Head of Department

Xi’an Jiaotong-Liverpool University

CHINA

View details

Tianhong Dai

Lecturer

University of Aberdeen

UNITED KINGDOM

View details

Valerio Selis

Lecturer

University of Liverpool

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Fei Ma

Research Interests

Make your next move.

Explore related searches

Articles (14)

Contrastive prompt clustering for weakly supervised semantic segmentation

Tag-Enriched Multi-Attention With Large Language Models for Cross-Domain Sequential Recommendation

Underwater Acoustical Sensing for Target Localization With Rational Orthogonal Wavelet Signaling

Generative Prompt Controlled Diffusion for weakly supervised semantic segmentation

Image augmentation agent for weakly supervised semantic segmentation

Semi-template framework for retrosynthesis prediction using graph neural network

Enabling Cooperative Autonomy in UUV Clusters: A Survey of Robust State Estimation and Information Fusion Techniques

Retrosynthesis Prediction via Search in (Hyper) Graph

Fully Automatic Karyotyping via Deep Convolutional Neural Networks

More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference

RCsearcher: Reaction center identification in retrosynthesis via deep Q-learning

Down Syndrome detection with Swin Transformer architecture

Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data

AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching

Collaborators (7)

Xianglin Qiu

Trevor Mahy

Enggee Lim

Chengyu Wang

Juming Shen

Tianhong Dai

Valerio Selis

Make your next move.