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Welcome to wyhallenwu's profile!

I’m a first-year Master student in the School of Computing, Korea Advanced Institute of Science & Technology. I’m working with my colleagues at the Collaborative Distributed Systems and Networks Lab, under the supervision of Prof.Dongman Lee. Prior to that, I received my B.Eng degree in Cyberspace Security from the School of Computer Science and Engineering at Shanghai University where I was fortunately mentored by Prof.Chenhong Cao.

My research interests revolve around the synergistic integration of AI within Networked Systems and conversely, the application of Networked Systems to enhance AI capabilities.This involves a nuanced blend of AI methodologies with conventional networked systems to achieve a more efficient, intelligent, and robust networking infrastructure. My goal is to develop more efficient, adaptive, and intelligent systems that can effectively manage network traffic and optimize resource allocation in an increasingly digital and interconnected world.

Recently, my research has primarily concentrated on enhancing congestion control and the scheduling of network resources.

Research Interests

Deep Reinforcement Learning for decision making, AI for networks and networks for AI

Yuheng Wu's Projects

carla-rl icon carla-rl

RL for autonomous vihicle control in carla simulator

cs285drl icon cs285drl

my implementation of cs285 2021 projects

fly icon fly

上海大学溯源手册(SHUFly)

gotodo icon gotodo

a terminal todo list implemented in golang. Inspired by todo.txt-cli

mmdetection3d icon mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

pensieve icon pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

pytorch-drl icon pytorch-drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

rustlings icon rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

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