A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Volker Tresp (CoRR, 2021)

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. - Zifeng Ding; Jingpei Wu; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (AKBC, 2022)

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (CoRR, 2022)

Forecasting Question Answering over Temporal Knowledge Graphs. - Zifeng Ding; Ruoxia Qi; Zongyue Li; Bailan He; Jingpei Wu; Yunpu Ma; Zhao Meng; Zhen Han 003; Volker Tresp (CoRR, 2022)

A Knowledge Graph Perspective on Supply Chain Resilience. - Yushan Liu 002; Bailan He; Marcel Hildebrandt; Maximilian Buchner; Daniela Inzko; Roger Wernert; Emanuel Weigel; Dagmar Beyer; Martin Berbalk; Volker Tresp (D2R2, 2023)

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Jingpei Wu; Yunpu Ma; Zhen Han 003; Volker Tresp (IJCNN, 2023)

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Jingpei Wu; Zhen Han 003; Volker Tresp (IntelliSys (3), 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 014; Ruotong Liao; Zhen Han 003; Volker Tresp (ISWC, 2023)

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. - Jindong Gu; Zhen Han 003; Shuo Chen 014; Ahmad Beirami; Bailan He; Gengyuan Zhang; Ruotong Liao; Yao Qin 001; Volker Tresp; Philip H. S. Torr (CoRR, 2023)

Understanding and Improving In-Context Learning on Vision-language Models. - Shuo Chen 014; Zhen Han 003; Bailan He; Mark Buckley; Philip H. S. Torr; Volker Tresp; Jindong Gu (CoRR, 2023)

An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. - Bailan He; Yushan Liu 002; Marcel Hildebrandt; Zifeng Ding; Yaomengxi Han; Volker Tresp (D2R2, 2024)

Visual Question Decomposition on Multimodal Large Language Models. - Haowei Zhang 002; Jianzhe Liu; Zhen Han 003; Shuo Chen 014; Bailan He; Volker Tresp; Zhiqiang Xu; Jindong Gu (EMNLP (Findings), 2024)

Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models. - Yaomengxi Han; Zifeng Ding; Yushan Liu 002; Bailan He; Volker Tresp (ESWC Satellite Events (1), 2024)

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? - Shuo Chen 014; Zhen Han 003; Bailan He; Zifeng Ding; Wenqian Yu; Philip Torr 001; Volker Tresp; Jindong Gu (CoRR, 2024)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. - Yilun Liu; Yunpu Ma; Shuo Chen 014; Zifeng Ding; Bailan He; Zhen Han 003; Volker Tresp (CoRR, 2024)

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? - Shuo Chen 014; Zhen Han 003; Bailan He; Jianzhe Liu; Mark Buckley; Yao Qin 001; Philip Torr 001; Volker Tresp; Jindong Gu (WACV, 2025)

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. - Yuan He 008; Bailan He; Zifeng Ding; Alisia Maria Lupidi; Yuqicheng Zhu; Shuo Chen 014; Caiqi Zhang; Jiaoyan Chen 001; Yunpu Ma; Volker Tresp; Ian Horrocks 001 (CoRR, 2025)

Distilling Tool Knowledge into Language Models via Back-Translated Traces. - Xingyue Huang; Xianglong Hu; Zifeng Ding; Yuan He 008; Rishabh; Waleed Alzarooni; Ziyu Ye; Wendong Fan; Bailan He; Haige Bo; Changran Hu; Guohao Li 001 (CoRR, 2025)