Yu-An Liu (刘雨桉)

I am a fourth-year Ph.D. student at Institute of Computing Technology, Chinese Academy of Sciences. I am a member of CAS Key Lab of Web Data Science and Technology. My research interests lie in the robustness of Information Retrieval (IR), with a special focus on adversarial and out-of-distribution perspectives.

Contact me via email if you have any interest in discussing/working/cooperating with me.

Highlight

• Curated lists of awesome papers
  • Robustness, Adversarial Attacks and Defenses for IR
  • Information Retrieval in the Age of Large Language Model
  • Awesome Papers for RAG

News and Events

• [May 2023] Invited talk “Adversarial Information Retrieval”, at Gaoling School of Artificial Intelligence, Renmin University of China, Beijing.
• [Jun. 2023] Invited talk “Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models”, at AIS 2023, Hunan, Changsha.
• [Jul. 2023] Invited talk “Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models”, at SIGIR 2023, Taiwan, China.
• [Oct. 2023] Invited talk “Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method”, at CIKM 2023, Birmingham, UK.
• [July 2024] I co-organized the tutorial on “Robust Information Retrieval” at SIGIR 2024. The survey on robust information retrieval is available here. Talks on the same topic are invited at Microsoft Core Search and Apple Search.

Education

• Institute of Computing Technology, Chinese Academy of Sciences
  • Ph.D. in Computer Science, 2021 - present
  • Advisor: Prof. Jiafeng Guo and Prof. Wei Chen
• Shandong University
  • B.E. in Computer Science, 2017 - 2021

Honors and Awards

• Outstanding Undergraduate Award, 2021

Academic Services

• PC Member: CIKM2023, WSDM2024, AAAI2024, IJCAI2024, ACM MM2024, SIGIR2024, CIKM2024, WSDM2025, AAAI2025, TKDE