Yishujie Zhao

ORCID: 0009-0000-5370-9257
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Robotic Path Planning Algorithms
  • Multimedia Communication and Technology
  • Software Testing and Debugging Techniques
  • Space Science and Extraterrestrial Life
  • Software System Performance and Reliability
  • Advanced Memory and Neural Computing
  • Adversarial Robustness in Machine Learning
  • Advanced Computational Techniques and Applications
  • Parallel Computing and Optimization Techniques
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Computational Physics and Python Applications
  • CCD and CMOS Imaging Sensors

Tsinghua University
2023-2024

Software (Spain)
2024

Fast and accurate obstacle avoidance is crucial to drone safety. Yet existing on-board sensor modules such as frame cameras radars are ill-suited for doing so due their low temporal resolution or limited field of view. This paper presents BioDrone, a new design paradigm using stereo event cameras. At the heart BioDrone two simple yet effective system inspired by mammalian visual system, namely, chiasm-inspired signal processing pipeline fast filtering detection, lateral geniculate nucleus...

10.1145/3570361.3613269 article EN Proceedings of the 28th Annual International Conference on Mobile Computing And Networking 2023-09-30

10.1109/infocom52122.2024.10621278 article EN IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2024-05-20

Recent work demonstrates that, after being fine-tuned on a high-quality instruction dataset, the resulting model can obtain impressive capabilities to address wide range of tasks. However, existing methods for data generation often produce duplicate and are not controllable enough quality. In this paper, we extend generalization tuning by classifying 4 code-related tasks propose LLM-based Generator-Discriminator process framework generate diverse, from open source code. Hence, introduce...

10.48550/arxiv.2312.14187 preprint EN other-oa arXiv (Cornell University) 2023-01-01
Coming Soon ...