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

Xiaolin Wang

Professor

Peking University

China

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Articles (14)

Year:

2027

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (2)

Tao Xie

Chair Professor

Peking University

CHINA

View details

Yonggang Wen

Professor

Nanyang Technological University (NTU)

SINGAPORE

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Xiaolin Wang

Research Interests

Make your next move.

Articles (14)

FlowGPU: Transparent and Efficient GPU Checkpointing and Restore

Computation Is Fast, Use T hreadlet !: Efficient Threading for μs-Scale Computing via OS/Hardware Co-Design

Near-Optimal Per-Key Streaming Quantile Estimation

Latency-SLO-Aware Memory Offloading for Large Language Model Inference

A Comprehensive Study on Solving Memory Bloat Under Virtualization

One Sketch is Enough: Accurate Per-Flow Tail Latency Estimation With SketchPolymer

Ginkgo: A Learned-Index Enhanced Tiered Memory System

Aeolia: A Fast and Secure Userspace Interrupt-Based Storage Stack

SPDK+: Low Latency or High Power Efficiency? We Take Both

Deep Learning Workload Scheduling in GPU Datacenters: A Survey

Hardware-Software Collaborative Tiered-Memory Management Framework for Virtualization

EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis

FLORIA: A Fast and Featherlight Approach for Predicting Cache Performance

vTMM: Tiered Memory Management for Virtual Machines

Collaborators (2)

Tao Xie

Yonggang Wen

Make your next move.