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Journal Articles
- 2023
[j1]Zifeng Ding
, Yuxuan Sun, Sijin Xu, Yan Pan, Yanhong Peng, Zebing Mao:
Recent Advances and Perspectives in Deep Learning Techniques for 3D Point Cloud Data Processing. Robotics 12(4): 100 (2023)
Conference and Workshop Papers
- 2024
- [c11]Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers:
Text2Loc: 3D Point Cloud Localization from Natural Language. CVPR 2024: 14958-14967 - [c10]Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp:
An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. D2R2 2024 - [c9]Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp:
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. NAACL-HLT 2024: 1877-1895 - [c8]Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze:
A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation. ECML/PKDD (2) 2024: 162-177 - 2023
- [c7]Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp:
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) 2023: 5433-5447 - [c6]Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp:
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. IJCNN 2023: 1-10 - [c5]Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp:
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. ECML/PKDD (3) 2023: 550-566 - [c4]Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp:
ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. ISWC 2023: 541-560 - 2022
- [c3]Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer:
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL 2022: 22-31 - [c2]Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp:
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. AKBC 2022 - 2021
- [c1]Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp:
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. EMNLP (1) 2021: 8352-8364
Informal and Other Publications
- 2024
- [i15]Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu:
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR abs/2402.14899 (2024) - [i14]Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu:
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR abs/2404.03411 (2024) - [i13]Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze:
A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation. CoRR abs/2406.09881 (2024) - [i12]Ercong Nie, Bo Shao, Zifeng Ding, Mingyang Wang, Helmut Schmid, Hinrich Schütze:
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. CoRR abs/2406.17764 (2024) - [i11]Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Yunpu Ma, Michael Bronstein:
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. CoRR abs/2408.04713 (2024) - 2023
- [i10]Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp:
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning. CoRR abs/2304.00613 (2023) - [i9]Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp:
Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge. CoRR abs/2307.10219 (2023) - [i8]Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp:
Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. CoRR abs/2311.10112 (2023) - [i7]Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers:
Text2Loc: 3D Point Cloud Localization from Natural Language. CoRR abs/2311.15977 (2023) - 2022
- [i6]Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp:
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. CoRR abs/2203.09590 (2022) - [i5]Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp:
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. CoRR abs/2205.10621 (2022) - [i4]Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp:
Forecasting Question Answering over Temporal Knowledge Graphs. CoRR abs/2208.06501 (2022) - [i3]Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp:
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. CoRR abs/2211.08169 (2022) - 2021
- [i2]Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp:
Temporal Knowledge Graph Forecasting with Neural ODE. CoRR abs/2101.05151 (2021) - [i1]Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp:
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. CoRR abs/2112.07791 (2021)
Coauthor Index
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