Ziwei Xu
Scholar

Ziwei Xu

Google Scholar ID: 4LROGysAAAAJ
National University of Singapore
Machine LearningKnowledge RepresentationAI Safety
Citations & Impact
All-time
Citations
1,130
 
H-index
9
 
i10-index
9
 
Publications
19
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top-tier venues including NeurIPS, ICLR, CVPR, and IEEE Transactions on Multimedia.
  • Notable publications include:
  • – 'Reasoning LLMs are Wandering Solution Explorers' (2025, preprint)
  • – 'Bullying the Machine: How Personas Increase LLM Vulnerability' (2025, preprint)
  • – 'Strong Preferences Affect the Robustness of Value Alignment' (ICLR 2025)
  • – 'Hallucination is Inevitable: An Innate Limitation of Large Language Models' (2024, preprint)
  • – 'Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness' (CVPR 2024)
  • – 'Don’t Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation' (NeurIPS 2022)
  • – 'Unsupervised Motion Representation Learning with Capsule Autoencoders' (NeurIPS 2021)
  • – 'Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition' (IEEE TMM 2021)
  • – 'Embedding Symbolic Knowledge into Deep Networks' (NeurIPS 2019)
Background
  • Machine Learning Engineer at TikTok/ByteDance and an independent researcher.
  • Research focuses on: (1) knowledge-enhanced machine learning, integrating symbolic and formal methods with ML models; (2) safety and trustworthiness of AI models.
  • Aims to better understand real-world complexities and build more robust, interpretable, and trustworthy models.
  • Interests include sequential relation modeling, such as visual relation detection, video understanding, and natural language processing.
  • Also explores how powerful AI models impact society and human cognition.