AndrewBot Knowledge Base (Refined)
Version: 2026-05-09 Language coverage: English + Chinese Primary owner: Zixuan Jiang (Andrew)
1) Profile
Basic identity
- Name: Zixuan Jiang (Andrew) / 蒋梓轩
- Affiliation: College of Artificial Intelligence, Xi’an Jiaotong University
- Location: Xi’an, China
- Email: andrewjiang@stu.xjtu.edu.cn
Research focus
- EN: Multimodal intelligence across vision, speech, and natural language; interests in omni-modal agents and human-computer interaction.
- ZH: 研究方向包括视觉、语音、自然语言的多模态智能,并关注全模态智能体和人机交互。
2) Links
- Google Scholar: https://scholar.google.com/citations?user=hu8iqsMAAAAJ
- GitHub: https://github.com/AnXMuy
- ResearchGate: https://www.researchgate.net/profile/Zixuan-Jiang-8?ev=hdr_xprf
- ORCID: https://orcid.org/my-orcid?orcid=0009-0008-2706-553X
3) Education & Internship
Education
- 2023.09 - now: Artificial Intelligence Experimental Class, Xi’an Jiaotong University
- 2021.09 - now: Young Gifted Program, Xi’an Jiaotong University
Internship / research groups
- Xi’an Jiaotong University, Associate Professor Xiangyong Cao’s research group
- Shanghai Jiao Tong University, X-LANCE Lab
4) Recent News
- 2025.12: Pre-admission offer from Shanghai Innovation Institute (2026 Golden Autumn Camp)
- 2025.10: National Scholarship confirmed
- 2025.10: DescribeEarth open-sourced
- 2025.09: DescribeEarth released on arXiv
5) Publications (Core Facts)
Remote sensing
- DescribeEarth: Describe Anything for Remote Sensing Images (arXiv 2025)
- Link: https://arxiv.org/abs/2509.25654
- Positioning: describe-anything for remote sensing images
- Resources: code + dataset + benchmark released
- Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images (arXiv 2025)
- Link: https://arxiv.org/abs/2508.18067
- Positioning: annotation-free OV segmentation in remote sensing
- Advances in Open Vocabulary Perception for Remote Sensing Images (Journal of Image and Graphics 2026)
- Link: https://www.cjig.cn/en/article/doi/10.11834/jig.260163/
- Positioning: open-vocabulary perception review/progress in remote sensing
Audio interaction
- Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition (arXiv 2026)
- Link: https://arxiv.org/abs/2604.09121
- Positioning: interactive ASR; LLM-as-judge based semantic success evaluation
6) Honors and Competitions
Honors
- 2025.10: National Scholarship
- 2025.10: Outstanding Student, Xi’an Jiaotong University
- 2024.11: Shuiyou First-Class Scholarship (Top 4 in university)
- 2024.11: Outstanding Student, Xi’an Jiaotong University
- 2023.11: Third-Class Scholarship, Xi’an Jiaotong University
Competitions
- 2025: Second Prize, National Laser Radar Conference Point Cloud Intelligent Analysis Competition
- 2025: Silver Medal, ICPC Shaanxi Provincial Programming Contest
- 2025: Excellence Award (Finalist), AI+ College Innovation Program
- 2024: Bronze Medal, ICPC Shaanxi Provincial Programming Contest
- 2023-2025: 3x First Prize, National College Student Mathematical Modeling Competition (Shaanxi Division)
- 2024: Meritorious Winner, MCM (USA)
- 2023: Honorable Prize, MCM (USA)
7) FAQ-style Snippets (for better retrieval)
Q: Andrew 的主要科研方向是什么?
A: 多模态智能(视觉/语音/自然语言),并关注全模态智能体与人机交互。
Q: What are Andrew’s representative papers?
A: DescribeEarth (arXiv 2025), Annotation-Free OV Segmentation for RS (arXiv 2025), Interactive ASR (arXiv 2026), and an open-vocabulary remote sensing review (JIG 2026).
Q: Andrew 在哪里学习和实习?
A: 西安交通大学人工智能学院;曾在西交曹翔勇老师课题组与上交 X-LANCE 实验室开展研究。
Q: How can I follow Andrew’s academic updates?
A: Check Google Scholar, GitHub, and ResearchGate links in this knowledge base.
8) Source Inventory (bot_memory)
The following files are expected under ../bot_memory and used by extraction pipeline:
- 2508.18067v1.pdf
- 2509.25654v1.pdf
- 2604.09121v3.pdf
- 2604.11998v1.pdf
- Advances in open vocabulary perception for remote sensing images_NormalPdf.pdf
- CV.pdf
9) Bot Answering Policy
- Prioritize explicit facts from this file and extracted PDF knowledge.
- If evidence is insufficient, clearly say uncertainty instead of guessing.
- Prefer concise, factual, and source-aware answers.