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ORCIDZifeng Ding
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2020 – today
- 2025
[b1]Zifeng Ding:
Inductive representation learning and natural language question answering on temporal knowledge graphs. Ludwig Maximilian University of Munich, Germany, 2025- [j2]Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma:
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. Trans. Mach. Learn. Res. 2025 (2025) - [c17]Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab:
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. ACL (Findings) 2025: 4145-4167 - [c16]Yuan Sui, Yufei He, Zifeng Ding, Bryan Hooi:
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering. ACL (1) 2025: 12685-12701 - [c15]Ercong Nie, Bo Shao, Mingyang Wang, Zifeng Ding, Helmut Schmid, Hinrich Schütze:
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. ACL (1) 2025: 16357-16374 - [d1]Yuan He
, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks:
FactProbe: Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. Zenodo, 2025
- [i30]Zhangdie Yuan, Zifeng Ding, Andreas Vlachos:
The Future Outcome Reasoning and Confidence Assessment Benchmark. CoRR abs/2502.19676 (2025) - [i29]Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks:
Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. CoRR abs/2503.22362 (2025) - [i28]Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab:
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. CoRR abs/2505.16877 (2025) - [i27]Rui Cao, Zifeng Ding, Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos:
AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web. CoRR abs/2505.17978 (2025) - [i26]Zifeng Ding, Sikuan Yan, Zhangdie Yuan, Xianglong Hu, Fangru Lin, Andreas Vlachos:
TCP: a Benchmark for Temporal Constraint-Based Planning. CoRR abs/2505.19927 (2025) - [i25]Weixing Wang, Zifeng Ding, Jindong Gu, Rui Cao, Christoph Meinel, Gerard de Melo, Haojin Yang:
Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing. CoRR abs/2505.21547 (2025) - [i24]Shenyang Huang, Ali Parviz, Emma Kondrup, Zachary Yang, Zifeng Ding, Michael M. Bronstein, Reihaneh Rabbany, Guillaume Rabusseau:
Are Large Language Models Good Temporal Graph Learners? CoRR abs/2506.05393 (2025) - [i23]Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li:
Distilling Tool Knowledge into Language Models via Back-Translated Traces. CoRR abs/2506.19171 (2025) - [i22]Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp:
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. CoRR abs/2508.02587 (2025) - [i21]Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Hinrich Schütze, Volker Tresp, Yunpu Ma:
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning. CoRR abs/2508.19828 (2025) - [i20]Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab:
ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation. CoRR abs/2508.20131 (2025) - [i19]Zifeng Ding, Shenyang Huang, Zeyu Cao, Emma Kondrup, Zachary Yang, Xingyue Huang, Yuan Sui, Zhangdie Yuan, Yuqicheng Zhu, Xianglong Hu, Yuan He, Farimah Poursafaei, Michael M. Bronstein, Andreas Vlachos:
Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning. CoRR abs/2509.00975 (2025) - [i18]Xingyue Huang, Rishabh, Gregor Franke, Ziyi Yang, Jiamu Bai, Weijie Bai, Jinhe Bi, Zifeng Ding, Yiqun Duan, Chengyu Fan, Wendong Fan, Xin Gao, Ruohao Guo, Yuan He, Zhuangzhuang He, Xianglong Hu, Neil Johnson, Bowen Li, Fangru Lin, Siyu Lin, Tong Liu, Yunpu Ma, Hao Shen, Hao Sun, Beibei Wang, Fangyijie Wang, Hao Wang, Haoran Wang, Yang Wang, Yifeng Wang, Zhaowei Wang, Ziyang Wang, Yifan Wu, Zikai Xiao, Chengxing Xie, Fan Yang, Junxiao Yang, Qianshuo Ye, Ziyu Ye, Guangtao Zeng, Yuwen Ebony Zhang, Zeyu Zhang, Zihao Zhu, Bernard Ghanem, Philip Torr, Guohao Li:
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers. CoRR abs/2509.03059 (2025) - [i17]Zhangdie Yuan, Zifeng Ding, Andreas Vlachos:
Assessing Large Language Models in Updating Their Forecasts with New Information. CoRR abs/2509.23936 (2025) - 2024
- [c14]Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers:
Text2Loc: 3D Point Cloud Localization from Natural Language. CVPR 2024: 14958-14967 - [c13]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 - [c12]Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp:
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. EMNLP (Findings) 2024: 355-373 - [c11]Yaomengxi Han, Zifeng Ding, Yushan Liu, Bailan He, Volker Tresp:
Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models. ESWC Satellite Events (1) 2024: 223-227 - [c10]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 - [c9]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 - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Yunpu Ma, Michael M. Bronstein:
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. CoRR abs/2408.04713 (2024) - [i11]Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp:
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. CoRR abs/2411.08212 (2024) - 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) - [c8]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 - [c7]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 - [c6]Zifeng Ding, Yunpu Ma, Bailan He, Jingpei Wu, Zhen Han, Volker Tresp:
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. IntelliSys (3) 2023: 729-747 - [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 - [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
- [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 - [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
- [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 - [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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