Zifeng Ding

According to our database, Zifeng Ding authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images.

Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip H. S. Torr, Jindong Gu

CoRR, 2024

2023

Recent Advances and Perspectives in Deep Learning Techniques for 3D Point Cloud Data Processing.

Zifeng Ding, Yuxuan Sun, Sijin Xu, Yan Pan, Yanhong Peng, Zebing Mao

Robotics, June, 2023

Text2Loc: 3D Point Cloud Localization from Natural Language.

Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers

CoRR, 2023

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp

CoRR, 2023

Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge.

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp

CoRR, 2023

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs.

Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp

Proceedings of the Semantic Web - ISWC 2023, 2023

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning.

Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction.

Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 2023

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations.

Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Forecasting Question Answering over Temporal Knowledge Graphs.

Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp

CoRR, 2022

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction.

Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp

CoRR, 2022

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations.

Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp

CoRR, 2022

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information.

Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion.

Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer

Proceedings of the Sixth Workshop on Structured Prediction for NLP, 2022

2021

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion.

Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp

CoRR, 2021

Temporal Knowledge Graph Forecasting with Neural ODE.

Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp

CoRR, 2021

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs.

Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021