😎 About Me (陈子阳)

I’m a second year Ph.D. student at National University of Defense Technology (国防科技大学), proudly advised by Prof. Xiang Zhao (赵翔). My research interests focus on temporal reasoning, knowledge graph, and large language models.

The long-term goal of my research is to develop self-evolving artificial intelligence that can liberate humanity from mundane tasks. Areas of interest in research include:

• Temporal Reasoning;
• Continual Learning for Large Language models;
• Temporal Knowledge Graph;
• Multi-Agent Collaboration on Social Science Research;
• AI4Science

I am actively looking for academic exchange and collaboration.

📧 chenziyangnudt@nudt.edu.cn / chenziyang319@163.com

🔥 News

• 2024.09: ✨One paper about Multi-Agent Scientific Hypothesis Generation is accepted by JCRD (计算机研究与发展)!
• 2024.08: 💼Joining Baidu Intelligent Search team for a research internship, focusing on AI search!
• 2024.07: ✨One long paper and one short paper are accepted by CIKM 2024!
• 2024.07: 🎉Invited talk on LLM Temporal Reasoning at AI TIME!
• 2024.05: ✨One long paper about LLM Temporal Reasoning is accepted by the main conference of ACL 2024!
• 2023.07: 🎉Invited talk on TKGQA at AIS 2023!
• 2023.05: ✨One long paper on TKGQA is accepted by the main conference of ACL 2023!

📕 Selected Publications

• [arXiv 2024] An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms
  Ziyang Chen, Xiaobin Wang, Yong Jiang, Jinzhi Liao, Pengjun Xie, Fei Huang, Xiang Zhao
  [pdf] [code]

• [ACL 2024] Temporal knowledge question answering via abstract reasoning induction
  Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang
  [pdf] [code]

• [arXiv 2023] A survey of large language models attribution
  Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang
  [pdf] [code]

• [ACL 2023] Multi-granularity temporal question answering over knowledge graphs
  Ziyang Chen, Jinzhi Liao, Xiang Zhao
  [pdf] [code] [data]

• [KBS 2022] Temporal knowledge graph question answering via subgraph reasoning
  Ziyang Chen, Xiang Zhao, Jinzhi Liao, Xinyi Li, Evangelos Kanoulas
  [pdf] [code]

💼 Research Internship

• 2024.08-present: Research Intern at Baidu’s Search Science Team, Baidu Inc.
• 2024.02-2024.08: Research Intern at Institute for Intelligence Computing (previously DAMO Academy), Alibaba Group.
• 2023.07-2024.02: Visiting Student at Harbin Institute of Technology Shenzhen (HIT-SZ), advised by Prof. Baotian Hu (户保田).

💁 Service

I serve as the PC member/reviewer for

• ACL ARR (2023-),
• NeurIPS (2024-),
• ICLR (2024-),
• IEEE TKDE (2024-) ,
• IEEE TNNLS (2024-),
• AAAI (2023-),
• CIKM (2023-),
• Neural Networks (2024-),
• KBS (2022-),
• NLPCC (2024-),
• CCKS (2022-)

🏅 Award

• Undergraduate National Scholarship
• Freshman First-Class Scholarship of NUDT