Publications

2024

  1. Visual Question Decomposition on Multimodal Large Language Models
    Haowei Zhang, Jianzhe Liu, Zhen Han, and 5 more authors
    EMNLP 2024 Findings, 2024
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  2. VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
    Ruotong Liao, Max Erler, Huiyu Wang, and 4 more authors
    EMNLP 2024 Findings, 2024
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  3. Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
    Zifeng Ding, Jingcheng Wu, Jingpei Wu, and 2 more authors
    EMNLP 2024 Findings, 2024
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  4. LookupViT: Compressing visual information to a limited number of tokens
    Rajat Koner, Gagan Jain, Prateek Jain, and 2 more authors
    ECCV 2024, 2024
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  5. Provably Better Explanations with Optimized Aggregation of Feature Attributions
    Thomas Decker, Ananta R Bhattarai, Jindong Gu, and 2 more authors
    ICML 2024, 2024
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  6. Stop reasoning! when multimodal llms with chain-of-thought reasoning meets adversarial images
    Zefeng Wang, Zhen Han, Shuo Chen, and 6 more authors
    COLM 2024, 2024
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  7. Self-discovering interpretable diffusion latent directions for responsible text-to-image generation
    Hang Li, Chengzhi Shen, Philip Torr, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
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  8. GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
    Ruotong Liao, Xu Jia, Yangzhe Li, and 2 more authors
    In Findings of the Association for Computational Linguistics: NAACL 2024, 2024
    PDF Code
  9. zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
    Zifeng Ding, Heling Cai, Jingpei Wu, and 4 more authors
    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
    PDF Code
  10. 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
  11. 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