Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. - Zhen Han 003; Zifeng Ding; Yunpu Ma; Yujia Gu; Volker Tresp (EMNLP (1), 2021)

Temporal Knowledge Graph Forecasting with Neural ODE. - Zifeng Ding; Zhen Han 003; Yunpu Ma; Volker Tresp (CoRR, 2021)

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Volker Tresp (CoRR, 2021)

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. - Guirong Fu; Zhao Meng; Zhen Han 003; Zifeng Ding; Yunpu Ma; Matthias Schubert; Volker Tresp; Roger Wattenhofer (SPNLP@ACL, 2022)

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. - Zifeng Ding; Jingpei Wu; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (AKBC, 2022)

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. - Zhen Han 003; Ruotong Liao; Beiyan Liu; Yao Zhang; Zifeng Ding; Heinz Köppl; Hinrich Schütze; Volker Tresp (CoRR, 2022)

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (CoRR, 2022)

Forecasting Question Answering over Temporal Knowledge Graphs. - Zifeng Ding; Ruoxia Qi; Zongyue Li; Bailan He; Jingpei Wu; Yunpu Ma; Zhao Meng; Zhen Han 003; Volker Tresp (CoRR, 2022)

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. - Zhen Han 003; Ruotong Liao; Jindong Gu; Yao Zhang; Zifeng Ding; Yujia Gu; Heinz Koeppl; Hinrich Schütze; Volker Tresp (ACL (Findings), 2023)

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Jingpei Wu; Yunpu Ma; Zhen Han 003; Volker Tresp (IJCNN, 2023)

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Jingpei Wu; Zhen Han 003; Volker Tresp (IntelliSys (3), 2023)

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. - Zifeng Ding; Jingpei Wu; Zongyue Li; Yunpu Ma; Volker Tresp (ECML/PKDD (3), 2023)

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. - Zifeng Ding; Zongyue Li; Ruoxia Qi; Jingpei Wu; Bailan He; Yunpu Ma; Zhao Meng; Shuo Chen 014; Ruotong Liao; Zhen Han 003; Volker Tresp (ISWC, 2023)

Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge. - Zifeng Ding; Jingcheng Wu; Jingpei Wu; Yan Xia 003; Volker Tresp (CoRR, 2023)

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. - Zifeng Ding; Heling Cai; Jingpei Wu; Yunpu Ma; Ruotong Liao; Bo Xiong; Volker Tresp (CoRR, 2023)

Recent Advances and Perspectives in Deep Learning Techniques for 3D Point Cloud Data Processing. - Zifeng Ding; Yuxuan Sun; Sijin Xu; Yan Pan; Yanhong Peng; Zebing Mao (Robotics, 2023)

Text2Loc: 3D Point Cloud Localization from Natural Language. - Yan Xia 003; Letian Shi; Zifeng Ding; João F. Henriques; Daniel Cremers (CVPR, 2024)

An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. - Bailan He; Yushan Liu 002; Marcel Hildebrandt; Zifeng Ding; Yaomengxi Han; Volker Tresp (D2R2, 2024)

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. - Zifeng Ding; Jingcheng Wu; Jingpei Wu; Yan Xia 003; Bo Xiong; Volker Tresp (EMNLP (Findings), 2024)

Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models. - Yaomengxi Han; Zifeng Ding; Yushan Liu 002; Bailan He; Volker Tresp (ESWC Satellite Events (1), 2024)

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. - Zifeng Ding; Heling Cai; Jingpei Wu; Yunpu Ma; Ruotong Liao; Bo Xiong; Volker Tresp (NAACL-HLT, 2024)

A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation. - Yongkang Liu 002; Ercong Nie; Shi Feng 001; Zheng Hua; Zifeng Ding; Daling Wang; Yifei Zhang 003; Hinrich Schütze (ECML/PKDD (2), 2024)

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. - Zefeng Wang; Zhen Han 003; Shuo Chen 014; Fan Xue; Zifeng Ding; Xun Xiao; Volker Tresp; Philip Torr 001; Jindong Gu (CoRR, 2024)

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? - Shuo Chen 014; Zhen Han 003; Bailan He; Zifeng Ding; Wenqian Yu; Philip Torr 001; Volker Tresp; Jindong Gu (CoRR, 2024)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. - Yilun Liu; Yunpu Ma; Shuo Chen 014; Zifeng Ding; Bailan He; Zhen Han 003; Volker Tresp (CoRR, 2024)

BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. - Ercong Nie; Bo Shao; Mingyang Wang 003; Zifeng Ding; Helmut Schmid; Hinrich Schütze (ACL (1), 2025)

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering. - Yuan Sui; Yufei He; Zifeng Ding; Bryan Hooi (ACL (1), 2025)

Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. - Yuqicheng Zhu; Daniel Hernández 002; Yuan He 008; Zifeng Ding; Bo Xiong; Evgeny Kharlamov; Steffen Staab (ACL (Findings), 2025)

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. - Zifeng Ding; Yifeng Li; Yuan He 008; Antonio Norelli; Jingcheng Wu; Volker Tresp; Michael M. Bronstein; Yunpu Ma (Trans. Mach. Learn. Res., 2025)

The Future Outcome Reasoning and Confidence Assessment Benchmark. - Zhangdie Yuan; Zifeng Ding; Andreas Vlachos 001 (CoRR, 2025)

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. - Yuan He 008; Bailan He; Zifeng Ding; Alisia Maria Lupidi; Yuqicheng Zhu; Shuo Chen 014; Caiqi Zhang; Jiaoyan Chen 001; Yunpu Ma; Volker Tresp; Ian Horrocks 001 (CoRR, 2025)

AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web. - Rui Cao; Zifeng Ding; Zhijiang Guo; Michael Sejr Schlichtkrull; Andreas Vlachos 001 (CoRR, 2025)

TCP: a Benchmark for Temporal Constraint-Based Planning. - Zifeng Ding; Sikuan Yan; Zhangdie Yuan; Xianglong Hu; Fangru Lin; Andreas Vlachos 001 (CoRR, 2025)

Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing. - Weixing Wang 005; Zifeng Ding; Jindong Gu; Rui Cao; Christoph Meinel; Gerard de Melo; Haojin Yang (CoRR, 2025)

Are Large Language Models Good Temporal Graph Learners? - Shenyang Huang; Ali Parviz; Emma Kondrup; Zachary Yang; Zifeng Ding; Michael M. Bronstein; Reihaneh Rabbany; Guillaume Rabusseau (CoRR, 2025)

Distilling Tool Knowledge into Language Models via Back-Translated Traces. - Xingyue Huang; Xianglong Hu; Zifeng Ding; Yuan He 008; Rishabh; Waleed Alzarooni; Ziyu Ye; Wendong Fan; Bailan He; Haige Bo; Changran Hu; Guohao Li 001 (CoRR, 2025)

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. - Yilun Liu; Yunpu Ma; Yuetian Lu; Shuo Chen 014; Zifeng Ding; Volker Tresp (CoRR, 2025)