Παρακολούθηση
Zifeng Ding
Zifeng Ding
University of Cambridge, Ludwig Maximilian University of Munich
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cam.ac.uk - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
152*2021
Text2loc: 3d point cloud localization from natural language
Y Xia, L Shi, Z Ding, JF Henriques, D Cremers
CVPR 2024, 2023
292023
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
Z Ding, Y Ma, B He, V Tresp
TGL @ NeurIPS2022, 2021
242021
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 ACL 2023, 2022
22*2022
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
222022
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
202022
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
192024
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
182024
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
15*2024
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
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
142022
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
112023
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
52024
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
42024
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
22024
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
12024
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
12024
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
12024
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
Z Ding, J Wu, J Wu, Y Xia, B Xiong, V Tresp
Findings of EMNLP 2024, 2023
12023
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
Y Liu, Y Ma, S Chen, Z Ding, B He, Z Han, V Tresp
arXiv preprint arXiv:2411.08212, 2024
2024
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