Publications

2024

1. Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning

   Gengyuan Zhang, Yurui Zhang, Kerui Zhang, and 1 more author

   IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
2. Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining

   Ugur Sahin, Hang Li, Qadeer Khan, and 2 more authors

   In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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2023

1. Multi-event Video-Text Retrieval

   Gengyuan Zhang, Jisen Ren, Jindong Gu, and 1 more author

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2. Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models

   Shuo Chen, Jindong Gu, Zhen Han, and 3 more authors

   NeurIPS 2023, 2023

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3. Towards data-free domain generalization

   Ahmed Frikha, Haokun Chen, Denis Krompaß, and 2 more authors

   In Asian Conference on Machine Learning, 2023

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4. ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

   Zifeng Ding, Zongyue Li, Ruoxia Qi, and 8 more authors

   In International Semantic Web Conference, 2023

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5. Fraug: Tackling federated learning with non-iid features via representation augmentation

   Haokun Chen, Ahmed Frikha, Denis Krompass, and 2 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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6. Do DALL-E and Flamingo Understand Each Other?

   Hang Li, Jindong Gu, Rajat Koner, and 2 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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7. Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning

   Zifeng Ding, Jingpei Wu, Zongyue Li, and 2 more authors

   In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023, 2023

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8. Differentiable quantum architecture search for quantum reinforcement learning

   Yize Sun, Yunpu Ma, and Volker Tresp

   In 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), 2023

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9. Debiased Contrastive Loss for Collaborative Filtering

   Zhuang Liu, Yunpu Ma, Haoxuan Li, and 3 more authors

   In International Conference on Knowledge Science, Engineering and Management, 2023

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10. Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction

    Zifeng Ding, Bailan He, Jingpei Wu, and 3 more authors

    In 2023 International Joint Conference on Neural Networks (IJCNN), 2023
11. Adaptive Multi-Resolution Attention with Linear Complexity

    Yao Zhang, Yunpu Ma, Thomas Seidl, and 1 more author

    In 2023 International Joint Conference on Neural Networks (IJCNN), 2023

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12. Qneat: Natural evolution of variational quantum circuit architecture

    Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, and 1 more author

    In Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023

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13. Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning

    David Winkel, Niklas Strauß, Matthias Schubert, and 2 more authors

    In Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2023

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14. Multimodal Contrastive Transformer for Explainable Recommendation

    Zhuang Liu, Yunpu Ma, Matthias Schubert, and 3 more authors

    IEEE Transactions on Computational Social Systems, 2023

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15. The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding

    Volker Tresp, Sahand Sharifzadeh, Hang Li, and 2 more authors

    Neural Computation, 2023

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2022

1. TempCaps: a capsule network-based embedding model for temporal knowledge graph completion

   Guirong Fu, Zhao Meng, Zhen Han, and 5 more authors

   In PROCEEDINGS OF THE SIXTH WORKSHOP ON STRUCTURED PREDICTION FOR NLP (SPNLP 2022), 2022
2. Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction

   Zifeng Ding, Bailan He, Yunpu Ma, and 2 more authors

   In International Joint Conference on Neural Networks 2023, 2022
3. Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

   Zifeng Ding, Jingpei Wu, Bailan He, and 3 more authors

   In 4th Conference on Automated Knowledge Base Construction, 2022
4. ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations

   Zhen Han, Ruotong Liao, Jindong Gu, and 6 more authors

   In Findings of ACL 2023, 2022
5. CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations

   Zhuang Liu, Yunpu Ma, Marcel Hildebrandt, and 2 more authors

   Knowledge and Information Systems, 2022
6. Multi-Modal Contrastive Pre-training for Recommendation

   Zhuang Liu, Yunpu Ma, Matthias Schubert, and 2 more authors

   In Proceedings of the 2022 International Conference on Multimedia Retrieval, 2022
7. Open-Domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion

   Feifei Xu, Shanlin Zhou, Yunpu Ma, and 3 more authors

   In International Conference on Database Systems for Advanced Applications, 2022
8. Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations

   Sandra Gilhuber, Max Berrendorf, Yunpu Ma, and 1 more author

   2022
9. VERIPS: Verified Pseudo-label Selection for Deep Active Learning

   Sandra Gilhuber, Philipp Jahn, Yunpu Ma, and 1 more author

   In 2022 IEEE International Conference on Data Mining (ICDM), 2022
10. SEA: Graph Shell Attention in Graph Neural Networks

    Christian MM Frey, Yunpu Ma, and Matthias Schubert

    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2022
11. TempCaps: a capsule network-based embedding model for temporal knowledge graph completion

    Guirong Fu, Zhao Meng, Zhen Han, and 5 more authors

    In PROCEEDINGS OF THE SIXTH WORKSHOP ON STRUCTURED PREDICTION FOR NLP (SPNLP 2022), 2022
12. Tlogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs

    Yushan Liu, Yunpu Ma, Marcel Hildebrandt, and 2 more authors

    In Proceedings of the AAAI conference on artificial intelligence, 2022
13. On Calibration of Graph Neural Networks for Node Classification

    Tong Liu, Yushan Liu, Marcel Hildebrandt, and 3 more authors

    In 2022 International Joint Conference on Neural Networks (IJCNN), 2022
14. Biologically Inspired Neural Path Finding

    Hang Li, Qadeer Khan, Volker Tresp, and 1 more author

    In International Conference on Brain Informatics, 2022

2021

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

   Zifeng Ding, Yunpu Ma, Bailan He, and 1 more author

   In TGL@NeurIPS2022, 2021
2. Learning neural ordinary equations for forecasting future links on temporal knowledge graphs

   Zhen Han, Zifeng Ding, Yunpu Ma, and 2 more authors

   In Proceedings of the 2021 conference on empirical methods in natural language processing, 2021
3. Quantum machine learning algorithm for knowledge graphs

   Yunpu Ma, and Volker Tresp

   ACM Transactions on Quantum Computing, 2021
4. 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, and 1 more author

   In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
5. Causal inference under networked interference and intervention policy enhancement

   Yunpu Ma, and Volker Tresp

   In International Conference on Artificial Intelligence and Statistics, 2021
6. Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics

   Haizhou Du, Yan Zhou, Yunpu Ma, and 1 more author

   Knowledge-Based Systems, 2021
7. Learning neural ordinary equations for forecasting future links on temporal knowledge graphs

   Zhen Han, Zifeng Ding, Yunpu Ma, and 2 more authors

   In Proceedings of the 2021 conference on empirical methods in natural language processing, 2021
8. Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering

   Rajat Koner, Hang Li, Marcel Hildebrandt, and 3 more authors

   In International Semantic Web Conference, 2021

2020

1. Scene graph reasoning for visual question answering

   Marcel Hildebrandt, Hang Li, Rajat Koner, and 2 more authors

   ICML 2020: GRL+, 2020
2. Learning with Temporal Knowledge Graphs.

   Yunpu Ma, Zhen Han, and Volker Tresp

   In CIKM (Workshops), 2020
3. Learning with relational knowledge in the context of cognition, quantum computing, and causality

   Yunpu Ma

   lmu, 2020
4. Learning individualized treatment rules with estimated translated inverse propensity score

   Zhiliang Wu, Yinchong Yang, Yunpu Ma, and 4 more authors

   In 2020 IEEE International Conference on Healthcare Informatics (ICHI), 2020
5. Explainable subgraph reasoning for forecasting on temporal knowledge graphs

   Zhen Han, Peng Chen, Yunpu Ma, and 1 more author

   In International Conference on Learning Representations, 2020
6. Controllable multi-character psychology-oriented story generation

   Feifei Xu, Xinpeng Wang, Yunpu Ma, and 4 more authors

   In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020
7. Reasoning on knowledge graphs with debate dynamics

   Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, and 3 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2020