Zifeng Ding - RankMe

54 papers A* 2B 1C 1Misc 1Journal 33Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Large Language Models Generalize Procedures Across Representations? CoRR Fangru Lin, Valentin Hofmann, Xingchen Wan, Weixing Wang, Zifeng Ding, Anthony G. Cohn, Janet B. Pierrehumbert
2026	—	`conf`	Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. EACL (Findings) Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp
2025	J	`jnl`	AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web. CoRR Rui Cao, Zifeng Ding, Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
2025	J	`jnl`	Are Large Language Models Good Temporal Graph Learners? CoRR Shenyang Huang, Ali Parviz, Emma Kondrup, Zachary Yang, Zifeng Ding, Michael M. Bronstein, Reihaneh Rabbany, Guillaume Rabusseau
2025	C	`conf`	ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation. NeSy Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab
2025	J	`jnl`	ArgRAG: Explainable Retrieval Augmented Generation using Quantitative Bipolar Argumentation. CoRR Yuqicheng Zhu, Nico Potyka, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Dongzhuoran Zhou, Evgeny Kharlamov, Steffen Staab
2025	J	`jnl`	Assessing Large Language Models in Updating Their Forecasts with New Information. CoRR Zhangdie Yuan, Zifeng Ding, Andreas Vlachos
2025	—	`conf`	BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. ACL (1) Ercong Nie, Bo Shao, Mingyang Wang, Zifeng Ding, Helmut Schmid, Hinrich Schütze
2025	—	`conf`	Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering. ACL (1) Yuan Sui, Yufei He, Zifeng Ding, Bryan Hooi
2025	J	`jnl`	Distilling Tool Knowledge into Language Models via Back-Translated Traces. CoRR Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li
2025	J	`jnl`	DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. Trans. Mach. Learn. Res. Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma
2025	J	`jnl`	Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing. CoRR Weixing Wang, Zifeng Ding, Jindong Gu, Rui Cao, Christoph Meinel, Gerard de Melo, Haojin Yang
2025	—	`—`	Inductive representation learning and natural language question answering on temporal knowledge graphs. Zifeng Ding
2025	J	`jnl`	Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers. CoRR 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
2025	J	`jnl`	Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning. CoRR Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Hinrich Schütze, Volker Tresp, Yunpu Ma
2025	J	`jnl`	Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. CoRR Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp
2025	—	`conf`	Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. ACL (Findings) Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab
2025	J	`jnl`	Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings. CoRR Yuqicheng Zhu, Daniel Hernández, Yuan He, Zifeng Ding, Bo Xiong, Evgeny Kharlamov, Steffen Staab
2025	J	`jnl`	Self-Exploring Language Models for Explainable Link Forecasting on Temporal Graphs via Reinforcement Learning. CoRR 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
2025	J	`jnl`	Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. CoRR Yuan He, Bailan He, Zifeng Ding, Alisia Maria Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks
2025	A*	`conf`	TCP: a Benchmark for Temporal Constraint-Based Planning. EMNLP Zifeng Ding, Sikuan Yan, Moy Yuan, Xianglong Hu, Fangru Lin, Andreas Vlachos
2025	J	`jnl`	TCP: a Benchmark for Temporal Constraint-Based Planning. CoRR Zifeng Ding, Sikuan Yan, Zhangdie Yuan, Xianglong Hu, Fangru Lin, Andreas Vlachos
2025	J	`jnl`	The Future Outcome Reasoning and Confidence Assessment Benchmark. CoRR Zhangdie Yuan, Zifeng Ding, Andreas Vlachos
2024	J	`jnl`	A Unified Data Augmentation Framework for Low-Resource Multi-Domain Dialogue Generation. CoRR Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze
2024	—	`conf`	A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation. ECML/PKDD (2) Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze
2024	—	`conf`	An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. D2R2 Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp
2024	J	`jnl`	BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning. CoRR Ercong Nie, Bo Shao, Zifeng Ding, Mingyang Wang, Helmut Schmid, Hinrich Schütze
2024	—	`conf`	Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models. ESWC Satellite Events (1) Yaomengxi Han, Zifeng Ding, Yushan Liu, Bailan He, Volker Tresp
2024	J	`jnl`	DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. CoRR Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Yunpu Ma, Michael M. Bronstein
2024	J	`jnl`	PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. CoRR Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp
2024	J	`jnl`	Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu
2024	J	`jnl`	Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu
2024	—	`conf`	Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. EMNLP (Findings) Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp
2024	A*	`conf`	Text2Loc: 3D Point Cloud Localization from Natural Language. CVPR Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
2024	—	`conf`	zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. NAACL-HLT Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
2023	—	`conf`	A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. IntelliSys (3) Zifeng Ding, Yunpu Ma, Bailan He, Jingpei Wu, Zhen Han, Volker Tresp
2023	—	`conf`	ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp
2023	J	`jnl`	Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge. CoRR Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp
2023	Misc	`conf`	ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. ISWC Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp
2023	—	`conf`	Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. ECML/PKDD (3) Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
2023	J	`jnl`	Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning. CoRR Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
2023	B	`conf`	Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. IJCNN Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp
2023	J	`jnl`	Recent Advances and Perspectives in Deep Learning Techniques for 3D Point Cloud Data Processing. Robotics Zifeng Ding, Yuxuan Sun, Sijin Xu, Yan Pan, Yanhong Peng, Zebing Mao
2023	J	`jnl`	Text2Loc: 3D Point Cloud Localization from Natural Language. CoRR Yan Xia, Letian Shi, Zifeng Ding, João F. Henriques, Daniel Cremers
2023	J	`jnl`	Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. CoRR Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
2022	J	`jnl`	Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. CoRR Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp
2022	—	`conf`	Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. AKBC Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	J	`jnl`	Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. CoRR Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	J	`jnl`	Forecasting Question Answering over Temporal Knowledge Graphs. CoRR Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp
2022	J	`jnl`	Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. CoRR Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
2022	—	`conf`	TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer
2021	J	`jnl`	A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. CoRR Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp
2021	—	`conf`	Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. EMNLP (1) Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp
2021	J	`jnl`	Temporal Knowledge Graph Forecasting with Neural ODE. CoRR Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp