This is but a single thread in the boundless tapestry woven by mortal hands
14 Posts
2 Categories
3 Tags
Mingjing Xu
14 Posts
2 Categories
3 Tags
Mingjing Xu
CS PhD student @ Swansea University | Efficient and Trustworthy AI
Mingjing Xu is a Computer Science PhD student at Swansea University working on efficient optimization, trustworthy AI, multimodal representation learning, and edge intelligence. He is first author of PSMGD, an AAAI 2025 paper on fast stochastic multi-objective optimization, and co-first author of recent ICLR 2026 and AAAI 2026 work on neural network inheritance and tactile-language-vision alignment. His earlier work spans practical adversarial attacks on WiFi sensing at ACM MobiCom 2024, magnetic-guided medical robotics at IEEE ICRA 2024, embedded firmware for IoT radio systems at Jabil, and Android/Kotlin teaching at Temple University.
  Post Charts
  My Projects
Official implementation of Periodic Stochastic Multi-Gradient Descent for fast stochastic multi-objective optimization, published at AAAI 2025.
Co-first-author AAAI 2026 work on tactile-language-vision collaborative representation learning for robust multimodal robotic perception.
Co-first-author ICLR 2026 work on neural network inheritance through asymmetric low-rank reconstruction beyond standard knowledge distillation.
IJCAI-ECAI 2026 collaboration on adaptive asymmetric adapters for few-shot vision-language image classification under branch bias.
Source and deployment repository for this Hexo + Matery personal website, including research notes, study logs, and personal writing.
  My Skills
AI Optimization
92%
Trustworthy AI
88%
Multimodal Learning
86%
Python / PyTorch
90%
Embedded Systems
82%
Academic Reviewing
88%