| Learning neural ordinary equations for forecasting future links on temporal knowledge graphs Z Han*, Z Ding*, Y Ma, Y Gu, V Tresp EMNLP 2021, 8352-8364, 2021 | 151* | 2021 |
| Text2loc: 3d point cloud localization from natural language Y Xia, L Shi, Z Ding, JF Henriques, D Cremers CVPR 2024, 2023 | 29 | 2023 |
| Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images Z Wang, Z Han, S Chen, F Xue, Z Ding, X Xiao, V Tresp, P Torr, J Gu COLM 2024, 2024 | 24 | 2024 |
| A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion Z Ding, Y Ma, B He, V Tresp TGL @ NeurIPS2022, 2021 | 24 | 2021 |
| Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? S Chen, Z Han, B He, Z Ding, W Yu, P Torr, V Tresp, J Gu SeT LLM @ ICLR 2024, 2024 | 22 | 2024 |
| TempCaps: a capsule network-based embedding model for temporal knowledge graph completion G Fu, Z Meng, Z Han, Z Ding, Y Ma, M Schubert, V Tresp, R Wattenhofer SPNLP @ ACL 2022, 22-31, 2022 | 22 | 2022 |
| ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations Z Han, R Liao, J Gu, Y Zhang, Z Ding, Y Gu, H Köppl, H Schütze, V Tresp ACL 2023, 2022 | 18* | 2022 |
| Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information Z Ding, J Wu, B He, Y Ma, Z Han, V Tresp AKBC 2022, 2022 | 18 | 2022 |
| Forecasttkgquestions: A benchmark for temporal question answering and forecasting over temporal knowledge graphs Z Ding, Z Li, R Qi, J Wu, B He, Y Ma, Z Meng, S Chen, R Liao, Z Han, ... ISWC 2023, 541-560, 2023 | 14* | 2023 |
| zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models Z Ding, H Cai, J Wu, Y Ma, R Liao, B Xiong, V Tresp NAACL 2024, 1877-1895, 2024 | 13* | 2024 |
| Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction Z Ding, B He, Y Ma, Z Han, V Tresp IJCNN 2023, 2022 | 13 | 2022 |
| Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning Z Ding, J Wu, Z Li, Y Ma, V Tresp ECML-PKDD 2023, 2023 | 11 | 2023 |
| DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models Z Ding, Y Li, Y He, A Norelli, J Wu, V Tresp, Y Ma, M Bronstein arXiv preprint arXiv:2408.04713, 2024 | 6 | 2024 |
| Bmike-53: Investigating cross-lingual knowledge editing with in-context learning E Nie, B Shao, Z Ding, M Wang, H Schmid, H Schütze arXiv preprint arXiv:2406.17764, 2024 | 6 | 2024 |
| Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering Y Sui, Y He, Z Ding, B Hooi arXiv preprint arXiv:2410.08085, 2024 | 2 | 2024 |
| A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation Y Liu, E Nie, Z Hua, Z Ding, D Wang, Y Zhang, H Schütze ECML-PKDD 2024, 2024 | 2 | 2024 |
| SA-DQAS: Self-attention Enhanced Differentiable Quantum Architecture Search Y Sun, J Liu, Z Wu, Z Ding, Y Ma, T Seidl, V Tresp Differentiable Almost Everything @ ICML 2024, 2024 | 2 | 2024 |
| An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models B He, Y Liu, M Hildebrandt, Z Ding, Y Han, V Tresp D2R2’24 @ ESWC 2024, 2024 | 1 | 2024 |
| Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs Z Ding, J Wu, J Wu, Y Xia, B Xiong, V Tresp EMNLP 2024, 2023 | 1 | 2023 |
| The Future Outcome Reasoning and Confidence Assessment Benchmark Z Yuan, Z Ding, A Vlachos arXiv preprint arXiv:2502.19676, 2025 | | 2025 |
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Verifisert e-postadresse på dbs.ifi.lmu.de
