Zhen Han

According to our database, Zhen Han authored at least 34 papers between 2020 and 2025.

Collaborative distances:

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

2025

True Multimodal In-Context Learning Needs Attention to the Visual Context.

Shuo Chen, Jianzhe Liu, Zhen Han, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu

CoRR, July, 2025

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?

Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration.

Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model.

Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp

CoRR, 2024

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu

CoRR, 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 Torr, Jindong Gu

CoRR, 2024

Visual Question Decomposition on Multimodal Large Language Models.

Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Understanding and Improving In-Context Learning on Vision-language Models.

Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu

CoRR, 2023

GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models.

Yuanchun Shen, Ruotong Liao, Zhen Han, Yunpu Ma, Volker Tresp

CoRR, 2023

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr

CoRR, 2023

Modeling the evolution of temporal knowledge graphs with uncertainty.

Soeren Nolting, Zhen Han, 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

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.

Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the Intelligent Systems and Applications, 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

Relational learning on temporal knowledge graphs.

Zhen Han

PhD thesis, 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

Continuous Temporal Graph Networks for Event-Based Graph Data.

Jin Guo, Zhen Han, Zhou Su, Jiliang Li, Volker Tresp, Yuyi Wang

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

AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation.

Hongxiang Huang, Daihui Yang, Gang Dai, Zhen Han, Yuyi Wang, Kin-Man Lam, Fan Yang, Shuangping Huang, Yongge Liu, Mengchao He

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 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

Temporal Knowledge Graph Forecasting with Neural ODE.

Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp

CoRR, 2021

Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs.

Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp

Proceedings of the 9th International Conference on Learning Representations, 2021

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting.

Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He

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

Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework.

Zhen Han, Gengyuan Zhang, Yunpu Ma, Volker Tresp

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

2020

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links.

Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp

CoRR, 2020

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs.

Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp

CoRR, 2020

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion.

Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning with Temporal Knowledge Graphs.

Yunpu Ma, Zhen Han, Volker Tresp

Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), 2020

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs.

Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp

Proceedings of the Conference on Automated Knowledge Base Construction, 2020