Run Wang

Summary

Computer Science Ph.D. student specializing in 3D computer vision, AI security, and mobile/edge computing, with experience spanning research, ML systems, and production software engineering. Published/accepted work in CVPR, IEEE INFOCOM, and IEEE/ACM IWQoS.

Education

• Ph.D. in Computer Science

  Aug. 2025 - Present
  Clemson University

  Concentration: 3D Computer Vision, AI Security and Mobile Computing
• M.S. in Electrical and Computer Engineering (Applied Advanced Program)

  Sep. 2021 - May 2023
  Carnegie Mellon University
• B.S. in Computer & Systems Engineering

  Sep. 2017 - May 2021
  Rensselaer Polytechnic Institute

Work Experience

• Application Developer - Full Stack

  2023-05 – 2024-04
  Computer Packages Inc., Rockville, MD

  • Developed and maintained C#/.NET, JavaScript, and SQL Server features for legacy-to-modern application migration, preserving data integrity across production workflows
  • Optimized SQL Server query performance using stored procedures, indexing, and execution-plan analysis, reducing query latency by more than 50%

Research Experience

• Graduate Research Assistant

  2025-08 – Present
  Clemson University, Clemson, SC

  • Supervisors: Dr. Siyu Huang and Dr. Mert D. Pesé
  • Researching AI security and robustness of autonomous-driving systems, focusing on adversarial vulnerabilities in perception and decision-making pipelines
• Graduate Research Associate

  2024-05 – 2025-08
  Ohio State University, Columbus, OH

  • Supervisor: Prof. Xiaorui Wang
  • Designed ML and time-series models for mobile/edge performance optimization, producing two peer-reviewed papers accepted to IEEE/ACM IWQoS 2025 and IEEE INFOCOM 2026
• Research Assistant

  2022-05 – 2023-05
  CERLAB, Carnegie Mellon University, Pittsburgh, PA

  • Supervisors: Prof. Kenji Shimada and Dr. Wentai Zhang
  • Adapted PSPNet, DeepLabV3+, and SketchGNN for component extraction from engineering drawings, achieving 84% overall accuracy on an in-house dataset
  • Acknowledged in Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
• Research Assistant

  2022-01 – 2022-05
  CyLab, Carnegie Mellon University, Pittsburgh, PA

  • Supervisor: Dr. Cai Yang
  • Collected and dynamically traced 80+ Linux malware samples, extracting 14 system-level behavioral features for malware behavior analysis
  • Built an in-house behavioral dataset from runtime traces to support downstream malware classification and anomaly detection experiments
• Research Assistant

  2020-01 – 2020-12
  RPI-IBM Cognitive and Immersive Systems Lab, Troy, NY

  • Supervisors: Dr. Jeff Kephart and Dr. Xiangyang Mou
  • Built a real-time gesture recognition system in C# and Python using Intel RealSense cameras, collecting 600+ gesture samples and extracting skeletal motion features for recognition experiments

Skills

Publications and Preprints

• FF3R: Feedforward Feature 3D Reconstruction from Unconstrained Views

  2026
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Acceptance Rate: )

  Chaoyi Zhou, Run Wang, Feng Luo, Mert D. Pesé, Zhiwen Fan, Yiqi Zhong, Siyu Huang (Published)

  View Publication
• Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning

  2026
  IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Acceptance Rate: )

  Qiaoyi Yang, Chaoyi Zhou, Xi Liu, Run Wang, Minghui Xu, Mert D. Pesé, Feng Luo, Yuhao Xu, Zhi-Qi Cheng, Qiushi Chen, Hairong Qi, Siyu Huang (Published)

  View Publication
• FlexMap: Generalized HD Map Construction from Flexible Camera Configurations

  2026
  arXiv preprint arXiv:2601.22376 (Acceptance Rate: )

  Run Wang, Chaoyi Zhou, Amir Salarpour, Xi Liu, Zhi-Qi Cheng, Feng Luo, Mert D. Pesé, Siyu Huang (arXiv preprint)

  View Publication
• Lightweight Detection of Abnormal Battery Drain Induced by Network Operations of Mobile Apps

  2026
  IEEE International Conference on Computer Communications (INFOCOM) (Acceptance Rate: 329/1740 (18.91%))

  Run Wang, Marco Brocanelli, Xiaorui Wang (Accepted)

  View Publication
• MAPP: Predictive UI View Pre-Caching for Improving the Responsiveness of Mobile Apps

  2025
  2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS) (Acceptance Rate: 81/326 (24.8%))

  Run Wang, Zach Herman, Marco Brocanelli, Xiaorui Wang (Accepted)

  View Publication
• LLM Agents for Simulating Human Stated-Choice Behavior

  2026
  International Conference on Machine Learning and Applications (ICMLA) (Acceptance Rate: )

  Z. Wang, M. Kim, Run Wang, et al. (Accepted)

  View Publication

Project Experience

• Cosmospapers Research Assistant Platform

  2026-01 - Present
  Built a RAG-based research discovery platform indexing 54,000+ papers from 15+ top CS conferences with vectorized retrieval and interactive topic exploration. Extracted 150 hierarchical research topics and visualized topic relationships to help users explore papers by research area. Shipped a public demo and GitHub repository, attracting 23 stars.

  View Project
• User Recommendation Microservice

  2022-08 - 2022-12
  Built Spark ETL pipelines on GCP Dataproc to preprocess approximately 1 TB of Twitter data for recommendation-system experiments. Deployed cloud-native recommendation microservices using Kubernetes, FastAPI, and Vert.x, achieving 10,000 RPS within a $0.70/hour infrastructure budget.

  View Project

Research Interests

• Research Interests

  3D Vision, Trustworthy AI, AI Security for Autonomous Vehicles, Mobile Computing