Zifeng Ding

Biography

Greetings! I am now a Computer Science PhD student in the group of Database System and Data Mining at Ludwig Maximilian University of Munich (LMU Munich), supervised by Prof. Volker Tresp. I am nominated as a PhD of European Laboratory for Learning and Intelligent Systems (ELLIS), co-supervised by Prof. Michael Bronstein at University of Oxford. I am also a researcher at Siemens AG. I obtained my Master’s degree on Electrical and Computer Engineering from Technical University of Munich (TUM) and passed with distinction.

My main research focuses are graph machine learning (representation learning), natural language processing, and knowledge representation reasoning. I am also collaborating with Dr. Yan Xia on several topics regarding deep representation learning on 3D point cloud data. Currently I am particularly interested in various topics regarding generative AI, e.g., large language models (or multimodal LLMs).

I am looking for highly self-motivated collaborators, talented and enthusiastic Bachelor or Master students, who are interested in my related field (check my google scholar page or this page). Feel free to get in touch via email.

From Apr. till Oct. 2024 I will be a visiting PhD researcher at University of Oxford. I am now working on several projects including but not limited to knowledge editing on LLMs, code generation and graph reasoning with state space models. Please feel free to reach out if you seek collaboration.

Community Service

Will serve as Area Chair of Temporal Graph Learning @ NeuraIPS 2024.

PC Member of ECML-PKDD 2024.

Reviewer for conferences including NeuraIPS 2023, ICML 2023, EMNLP 2022, and ECML-PKDD 2023/2024.

Reviewer for journals including TPAMI, EAAI and Neural Networks journals.

Regular Reviewer for ACL Rolling Review.

News

2. May 2024
zrLLM is presented at the TGL Workshop Reading Group.

21. April 2024
zrLLM is selected as Oral at NAACL 2024.

13. March 2024
Our paper zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models is accepted to the main conference of NAACL 2024.

26. February 2024
Our paper Text2loc: 3d point cloud localization from natural language is accepted to CVPR 2024.

13. July 2023
Our paper ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs is accepted to ISWC 2023.

6. June 2023
Our paper Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning is accepted to ECML/PKDD 2023.

… see all News