NJU UG AI Workshop 2025

1. Description

The NJU UG AI Conference serves as a gathering hub for the AI research community at Nanjing University and stands as a key platform for the exchange of advanced research. We aim to make the 2025 edition a dynamic event for undergraduate students, not only for the presentation of high-quality research projects but also as a vibrant forum for thorough discussion of emerging trends, shared challenges, and future directions in artificial intelligence.

2. Venue

This paper development workshop is hosted by the School of Artificial Intelligence, Nanjing University, a leading institution in AI research and education in China.

The school fosters academic excellence through cutting-edge research, international collaborations, and outstanding student achievements across various AI subfields.

3. Basic Paper Requirements

• Language: English only
• Typesetting Tool: LaTeX
• Template: The arXiv standard LaTeX template, available via this Overleaf link: https://www.overleaf.com/latex/templates/arxiv-and-prime-ai-style-template/qdnhqytdqzsc
• Main Text Length: Maximum 6 pages (appendices are page-unlimited)
• Research Focus: Concentrate on a specific niche topic in AI for in-depth exploration (avoid broad themes). Topics can align with the textbook coverage, including:
  • Search algorithms (e.g., uninformed/informed search, adversarial search)
  • Supervised learning (e.g., classification, regression, decision trees, SVMs)
  • Reinforcement learning (e.g., Markov decision processes, Q-learning, policy gradients)
  • Knowledge representation and reasoning (e.g., logic, semantic networks, ontologies)
  • Black-box optimization (e.g., evolutionary algorithms, Bayesian optimization)
  • Natural language processing (e.g., text classification, language models, sentiment analysis)

4. Reference Examples

Recommended to refer to the topic selection and structure of the following research papers (aligned with textbook coverage):

• https://arxiv.org/abs/2312.10584
• https://arxiv.org/abs/2405.15384
• https://arxiv.org/abs/2509.21240
• https://arxiv.org/abs/2206.12110

Core Feature: All examples focus on specific issues within the field of artificial intelligence, strictly aligning with the theoretical scope and topics covered in the textbook.

5. Submission Timeline

• Paper Submission Deadline: February 1, 2026, 23:59:59 (GMT+8)
• Peer Review Deadline: February 15, 2026, 23:59:59 (GMT+8)
• Result Announcement: February 22, 2026, 23:59:59 (GMT+8)

6. Academic Integrity Guidelines

• Academic discussions are permitted, but paper writing must be completed independently
• Directly copying or modifying others' works (including online materials and publications) is prohibited
• Publicly available resources must be clearly cited with proper references
• Plagiarized or highly similar papers will result in both parties' grades being revoked