Chien-Cheng Wu

I am a Ph.D. specializing in the intersection of Reinforcement Learning, Optimization, and Cyber-Physical Systems, with additional expertise in Large Language Models and Drone technologies. My research focuses on devising learning-based methods to optimize complex data flows and enhancing system services with heightened safety, autonomy, and intelligence. With a background as a senior software engineer, I've led development initiatives across diverse platforms and architectures, strengthening my proficiency in communication protocols and advancing Computer Vision services and SoC/MCU applications. My career combines theoretical knowledge with hands-on experience in areas such as device drivers, CI/CD toolchains, and project management. As I continue to bridge academic research and industry experience, I aim to leverage my diverse skill set to drive innovations in AI, machine learning, and autonomous systems, particularly in the realms of large language models and drone technology.

Published Works

Paper

Chien-Cheng Wu, Vasilis Friderikos, et al., "Multi-Objective Provisioning of Network Slices using Deep RL," Arxiv, 2022 [Web]

Chien-Cheng Wu, Z. H Tan, C. Stefanovic, "AoI and Throughput Optimization for Hybrid Traffic in Cellular Uplink Using Reinforcement Learning," 2022 IEEE 94th Vehicular Technology Conference Workshop, Helsinki, Finland, 2022 [Web]

Chien-Cheng Wu, P. Popovski, Z. H Tan, C. Stefanovic, "Design of AoI-Aware 5G Uplink Scheduler Using Reinforcement Learning," Proceeding of IEEE 4th 5G World Forum, Montreal, Canada, 2021 [Web]

Chien-Cheng Wu, "A Survey for Real-Time Network Performance Measurement via Machine Learning," Arxiv, 2020 [Web]

Chien-Cheng Wu, L. Tung, C. Lin, B. P. Lin and Y. Tseng, "On local cache management strategies for Mobile Augmented Reality," Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, Sydney, NSW, 2014, pp. 1-3. [Web]

Patent

Chien-Cheng Wu (2016). Method and Device of Group Based on MTC in Communication System, US Patent. [Web]

Chien-Cheng Wu (2015). MTC Devices, Service Networks & Methods for Configuring Periodic Update Timers, US Patent. [Web]

L-W Chen, Chien-Cheng Wu, Y-C Tseng (2012). Positioning Method for Long-thin Fleet, US Patent. [Web]

Software Development

Distributed Multi-Agent Reinforcement Learning framework.

Code examples for a convex optimization software package.

NS3 network simulator for Machine Learning.