Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, and Volker Tresp. Webpilot: A versatile and autonomous multi-agent system for web task execution with strategic exploration. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
Zefeng Wang*, Zhen Han*, Fan Xue, Shuo Chen, Volker Tresp, Jindong Gu. Stop reasoning! when multimodal llms with chain-of-thought reasoning meets adversarial images. In proceeding of the 2024 Conference on Language Modeling, 2024.
Shuo Chen, Jindong Gu, Zhen Han†, Yunpu Ma, Philip Torr, Volker Tresp. Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. In Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), 2023, (top 10% most-cited in Computer Science in 2023). †: corresponding author.
Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp. Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. In Proceedings of Findings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023.
Haohai Sun*, Jialun Zhong*, Yunpu Ma*, Zhen Han*, Kun He. TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
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. Under review at the 61st Annual Meeting of the Association for Computational Linguistics, 2023. †: corresponding author.
Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han†, Volker Tresp†. Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. In Proceeding of the 2022 Conference on Automated Knowledge Base Construction (AKBC) (best paper nominee), 2022. †: corresponding author.
Yue Feng, Zhen Han, Mingming Sun, Ping Li. Multi-Hop Open-Domain Question Answering over Structured and Unstructured Knowledge. In Proceedings of Findings of the North American Chapter of the Association for Computational Linguistics (NAACL Findings), 2022.
Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. In Proceedings of the International Conference on Learning Representations (ICLR), 2021 [video].
Zhen Han, Zifeng Ding, Yunpu Ma, Jiayu Gu, Volker Tresp. Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp. DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 .
Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp. Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs (best paper nominee). In Proceedings of the Conference on Automated Knowledge Base Construction (AKBC), 2020 [video].
