This is Bo Chen, a postdoc at University of Illinois at Urbana-Champaign (UIUC) working with Prof. Klara Nahrstedt. I obtained my Ph.D. in computer science at UIUC in 2022, advised by Prof. Klara Nahrstedt. Before coming to UIUC, I got my B.E. degree from Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Xinbing Wang.

Immersive computing enhances human perception by delivering remote data and analyzing it to create richer, more interactive experiences. Recent advancements in Artificial Intelligence (AI) (i.e., neural representations and large models) introduce both opportunities and challenges to immersive computing. On the one hand: 1.Neural representations (e.g., neural radiance fields and neural codecs) greatly advance data delivery with better compactness and photo-realism. 2. Large models (e.g., large language models) boost data analytics with the ability to correlate spatial-temporal and multimodal content. On the other hand, AI’s training and inference demand unprecedented volumes of data to be collected, transmitted, and processed. Under a real-world setting with limited bandwidth, resource-constrained devices, or hazardous environments, AI-integrated immersive computing systems may fail to meet system requirements (e.g., latency and frame rate). Even if they reduce the AI workload via system optimizations that downsample data or sparsify AI models, they inevitably sacrifice AI performance (e.g., accuracy) by ignoring the complex impact of system optimizations on AI models.

My research advocates AI-system co-design, an approach that resolves the complex impact of system optimizations on AI models with two core principles:

  1. System-for-AI Optimization: Employing system optimization techniques in software and hardware to manage data flow and computing loads while preserving AI performance.
  2. AI-for-System Customization: Customizing AI components, including neural network architecture, training processes, and inference pipelines, to mitigate the impact of system optimizations, ensuring satisfactory Quality of Experience (QoE) and accuracy of the system.

Guided by these principles, my research agenda bridges the gap between AI-integrated immersive computing systems and the real world with three key contributions: Bandwidth Efficiency, Computation Scaling, and Hazard Resilience**

Research Interests: Networking, operating systems, immersive/visual/spatial computing, and mobile computing.

I am now actively looking for tenure-track faculty positions (2024-2025). Feel free to ping me if you have any openings.

Here is my CV. Contact: boc2 AT illinois DOT edu

πŸ”₯ News

  • 2024.11: Β πŸŽ‰πŸŽ‰ Invited Talk at UM-SJTU Joint Institute, Advancing Immersive Computing with AI-System Co-design.
  • 2024.09: Β πŸŽ‰πŸŽ‰ Paper Conditionally Accepted in ACM SenSys’24, ImmerScope: Multi-view Video Aggregation at Edge towards Immersive Content Services.
  • 2024.04: Β πŸŽ‰πŸŽ‰ Invited Talk at UIUC Sys-Net Spring 2024 Retreat, NeRFHub: A Context-Aware NeRF Serving Framework for Mobile Immersive Applications
  • 2024.03: Β πŸŽ‰πŸŽ‰ Invited Talk at UT Dallas, Advancing Immersive Computing Systems in Age of Machine Learning.
  • 2024.03: Β πŸŽ‰πŸŽ‰ Paper Accepted in ACM MobiSys’24, NeRFHub: A Context-Aware NeRF Serving Framework for Mobile Immersive Applications.
  • 2024.01: Β πŸŽ‰πŸŽ‰ Paper Accepted in ACM MMSys’24, Learning to Manage Uncertainty in Video Streaming.
  • 2023.12: Β πŸŽ‰πŸŽ‰ Paper Accepted in USENIX NSDI’24, LiFteR: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing.

πŸ“ Selected Publications

πŸŽ– Honors and Awards

  • 2022.06 Best Student Paper Award (ACM MMSys 2022).
  • 2020.12 Best Paper Award (IEEE ISM 2022).
  • 2019.06 SIGMM Travel Grant (ACM MMSys 2019).

πŸ“– Educations

  • 2022.07 - 2024.04 (now), Postdoctoral Research Associate at University of Illinois at Urbana-Champaign, Champaign, IL, USA.
  • 2016.09 - 2022.05, Ph.D. at University of Illinois at Urbana-Champaign, Champaign, IL, USA.
  • 2012.09 - 2016.06, B.S. at Shanghai Jiao Tong University, Shanghai, China.
  • 2009.09 - 2012.06, High school at Fuzhou No.1 High School, Fuzhou, China.

πŸ’» Internships

  • 2020.05 - 2020.08, Student intern at Meta.
  • 2019.05 - 2019.07, Research intern at AT&T.

πŸ“– Teaching

  • 2023, CS 537 Advanced Topics in IOT, Teaching Assistant, University of Illinois at Urbana-Champaign.
  • 2022, CS 537 Advanced Topics in IOT, Teaching Assistant, University of Illinois at Urbana-Champaign.
  • 2020, CS 438 Communication Network, Teaching Assistant, University of Illinois at Urbana-Champaign.

πŸ’¬ Services