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Zhen Han
Zhen Han
Amazon Web Services
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Title
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Year
Explainable subgraph reasoning for forecasting on temporal knowledge graphs
Z Han, P Chen, Y Ma, V Tresp
International conference on learning representations, 2020
218*2020
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
H Sun, J Zhong, Y Ma, Z Han, K He
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
1642021
Learning neural ordinary equations for forecasting future links on temporal knowledge graphs
Z Han, Z Ding, Y Ma, Y Gu, V Tresp
Proceedings of the 2021 conference on empirical methods in natural language …, 2021
143*2021
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
1262023
The graph hawkes network for reasoning on temporal knowledge graphs
Z Han, J Jiang, Y Wang, Y Ma, V Tresp
Proceeding of the 2nd Conference on Automated Knowledge Base Construction (2020), 2019
116*2019
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
Z Han, P Chen, Y Ma, V Tresp
Proceeding of the 2020 Conference on Empirical Methods in Natural Language …, 2020
962020
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
222023
Agtgan: Unpaired image translation for photographic ancient character generation
H Huang, D Yang, G Dai, Z Han, Y Wang, KM Lam, F Yang, S Huang, ...
Proceedings of the 30th ACM international conference on multimedia, 5456-5467, 2022
212022
Multi-hop open-domain question answering over structured and unstructured knowledge
Y Feng, Z Han, M Sun, P Li
Findings of the Association for Computational Linguistics: NAACL 2022, 151-156, 2022
212022
Time-dependent entity embedding is not all you need: A re-evaluation of temporal knowledge graph completion models under a unified framework
Z Han, G Zhang, Y Ma, V Tresp
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
212021
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information
Z Ding, J Wu, B He, Y Ma, Z Han, V Tresp
Proceeding of the 4th Conference on Automated Knowledge Base Construction (2022), 2022
202022
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
Proceedings of the Sixth Workshop on Structured Prediction for NLP (SPNLP …, 2022
202022
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
Findings of the Association for Computational Linguistics: ACL 2023, 5433–5447, 2022
19*2022
Benchmarking robustness of adaptation methods on pre-trained vision-language models
S Chen, J Gu, Z Han, Y Ma, P Torr, V Tresp
Advances in Neural Information Processing Systems 36, 2024
182024
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
162024
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
arXiv preprint arXiv:2402.14899, 2024
142024
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
142023
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
13*2023
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
112023
Continuous Temporal Graph Networks for Event-Based Graph Data
J Guo, Z Han, Z Su, J Li, V Tresp, Y Wang
Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural …, 2022
92022
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