😎 About Me (陈子阳)

I’m a Ph.D. candidate 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:

• Knowledge Enhancement and Memory in LLM Agents;
• Data Agent Application;
• Multi-Agent Collaboration on Social Science Research;
• Temporal Knowledge Graph;

I am actively looking for academic collaboration.

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

🔥 News

• 2026.04: ✨One long paper about Group-level User Simulation is accepted by SIGIR 2026 Industry Track!
• 2026.02: 💼 Joining Tencent Hunyuan Team as a Qingyun Program (青云计划) research intern, focusing on AI Memory for digital human.
• 2025.11: ✨Our WOWService technical report is released!
• 2025.10: ✨One long paper about Temporal RAG Benchmark is accepted by Nature Scientific Data!
• 2025.08: ✨One long paper about Temporal RAG is accepted by CIKM 2025!
• 2025.05: 💼 Joining Meituan Fundamental R&D Platform as a Beidou Program (北斗计划), research intern, focusing on AI Agent for merchant assistants.
• 2025.04: ✨We have released ChronoQA, one of the most comprehensive temporal RAG dataset to date! The dataset is now available for download, and the paper will be released soon!
• 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!
• 2024.02: 💼Joining Tongyi Lab for a research internship, focusing on DeepResearch!
• 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

• [SIGIR 2026] Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation
  Ziyang Chen, Renbing Chen, Daowei Li, Jinzhi Liao, Jiashen Sun, Ke Zeng, Xiang Zhao
  [pdf]

• [Technical Report 2026] Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan’s Intelligent Interaction Systems
  Ziyang Chen as one of the contributors
  [pdf] [news]

• [Nature Scientific Data 2025] A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation
  Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Jichao Li, Shuaiqiang Wang, Baotian Hu, Dawei Yin
  [pdf] [code]

• [CIKM 2025] Advancing Temporal Sensitive RAG through Progressive Multi-Step Reflection
  Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Dawei Yin
  [pdf] [code]

• [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]

• [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

• 2026.02-2026.05: Research Intern at Tencent Hunyuan Team, Tencent Inc.
• 2025.05-2025.12: Research Intern at Meituan Fundamental R&D Platform, LongCat Interaction Team, Meituan Inc.
• 2024.08-2025.02: Research Intern at Baidu’s Search Science Team, Baidu Inc.
• 2024.02-2024.08: Research Intern at Tongyi Lab (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-),
• ICML (2025-),
• IEEE TKDE (2024-) ,
• IEEE TNNLS (2024-),
• AAAI (2023-),
• CIKM (2023-),
• Neural Networks (2024-),
• Information Fusion (2025-)
• KBS (2022-),
• NLPCC (2024-),
• CCKS (2022-)

🏅 Award

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