Xinzhe Zheng

Orcid: 0000-0002-6215-0069

Affiliations:
  • National University of Singapore, Singapore
  • Shanghai Artificial Intelligence Laboratory, Shanghai, China (former)
  • University of Hong Kong, Pokfulam, Hong Kong (former)


According to our database1, Xinzhe Zheng authored at least 13 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Neur IT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT.
IEEE Trans. Mob. Comput., January, 2026

DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Transforming Mental Health Care with Autonomous LLM Agents at the Edge.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Magnetometer-Calibrated Hybrid Transformer for Robust Inertial Tracking in Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation.
CoRR, 2024

MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM.
CoRR, 2024

NeurIT: Pushing the Limit of Neural Inertial Tracking for Indoor Robotic IoT.
CoRR, 2024

HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
CoRR, 2024

Empowering and Assessing the Utility of Large Language Models in Crop Science.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Predicting Adverse Events for Patients with Type-1 Diabetes Via Self-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024


  Loading...