Bailan He
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A systematic survey of prompt engineering on vision-language foundation models
J Gu, Z Han, S Chen, A Beirami, B He, G Zhang, R Liao, Y Qin, V Tresp, ...
arXiv preprint arXiv:2307.12980, 2023
A simple but powerful graph encoder for temporal knowledge graph completion
Z Ding, Y Ma, B He, J Wu, Z Han, V Tresp
Intelligent Systems Conference, 729-747, 2023
Few-shot inductive learning on temporal knowledge graphs using concept-aware information
Z Ding, J Wu, B He, Y Ma, Z Han, V Tresp
arXiv preprint arXiv:2211.08169, 2022
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction
Z Ding, B He, J Wu, Y Ma, Z Han, V Tresp
2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023
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, ...
International Semantic Web Conference, 541-560, 2023
A knowledge graph perspective on supply chain resilience
Y Liu, B He, M Hildebrandt, M Buchner, D Inzko, R Wernert, E Weigel, ...
arXiv preprint arXiv:2305.08506, 2023
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
arXiv preprint arXiv:2404.03411, 2024
Understanding and Improving In-Context Learning on Vision-language Models
S Chen, Z Han, B He, M Buckley, P Torr, V Tresp, J Gu
arXiv preprint arXiv:2311.18021 1 (2), 2023
Forecasting question answering over temporal knowledge graphs
Z Ding, R Qi, Z Li, B He, J Wu, Y Ma, Z Meng, Z Han, V Tresp
CoRR abs/2208.06501, 2022
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
Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models
Y Han, Z Ding, Y Liu, B He, V Tresp
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