Yunpu Ma

According to our database, Yunpu Ma authored at least 61 papers between 2017 and 2024.

Collaborative distances:

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

2024

Multimodal Contrastive Transformer for Explainable Recommendation.

Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Wenge Rong, Zhang Xiong

IEEE Trans. Comput. Soc. Syst., April, 2024

Quantum Architecture Search with Unsupervised Representation Learning.

Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp

CoRR, 2024

2023

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

Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma

Neural Comput., February, 2023

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models.

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp

CoRR, 2023

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

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

CoRR, 2023

GenTKG: Generative Forecasting on Temporal Knowledge Graph.

Ruotong Liao, Xu Jia, Yunpu Ma, 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

Differentiable Quantum Architecture Search for Quantum Reinforcement Learning.

Yize Sun, Yunpu Ma, Volker Tresp

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

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

Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning.

David Winkel, Niklas Strauß, Matthias Schubert, Yunpu Ma, Thomas Seidl

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Debiased Contrastive Loss for Collaborative Filtering.

Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

Adaptive Multi-Resolution Attention with Linear Complexity.

Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp

Proceedings of the International Joint Conference on Neural Networks, 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

QNEAT: Natural Evolution of Variational Quantum Circuit Architecture.

Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert

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

2022

CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.

Zhuang Liu, Yunpu Ma, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong

Knowl. Inf. Syst., 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

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

Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations.

Sandra Gilhuber, Max Berrendorf, Yunpu Ma, Thomas Seidl

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022

SEA: Graph Shell Attention in Graph Neural Networks.

Christian M. M. Frey, Yunpu Ma, Matthias Schubert

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-Modal Contrastive Pre-training for Recommendation.

Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Zhang Xiong

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

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

Sandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl

Proceedings of the IEEE International Conference on Data Mining, 2022

Open-Domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion.

Feifei Xu, Shanlin Zhou, Yunpu Ma, Xinpeng Wang, Wenkai Zhang, Zhisong Li

Proceedings of the Database Systems for Advanced Applications, 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

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs.

Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics.

Haizhou Du, Yan Zhou, Yunpu Ma, Shiwei Wang

Knowl. Based Syst., 2021

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

Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp

CoRR, 2021

MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs.

Christian M. M. Frey, Yunpu Ma, Matthias Schubert

CoRR, 2021

Temporal Knowledge Graph Forecasting with Neural ODE.

Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp

CoRR, 2021

Contrastive Learning for Recommender System.

Zhuang Liu, Yunpu Ma, Yuanxin Ouyang, Zhang Xiong

CoRR, 2021

KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation.

Yiran Xing, Zai Shi, Zhao Meng, Yunpu Ma, Roger Wattenhofer

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

3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers.

Zai Shi, Zhao Meng, Yiran Xing, Yunpu Ma, Roger Wattenhofer

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Causal Inference under Networked Interference and Intervention Policy Enhancement.

Yunpu Ma, Volker Tresp

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation.

Yiran Xing, Zai Shi, Zhao Meng, Gerhard Lakemeyer, Yunpu Ma, Roger Wattenhofer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Learning with relational knowledge in the context of cognition, quantum computing, and causality.

Yunpu Ma

PhD thesis, 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

Causal Inference under Networked Interference.

Yunpu Ma, Yuyi Wang, Volker Tresp

CoRR, 2020

The Tensor Brain: Semantic Decoding for Perception and Memory.

Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma

CoRR, 2020

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

CoRR, 2020

Quantum Machine Learning Algorithm for Knowledge Graphs.

Yunpu Ma, Yuyi Wang, Volker Tresp

CoRR, 2020

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score.

Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 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

Controllable Multi-Character Psychology-Oriented Story Generation.

Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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

Reasoning on Knowledge Graphs with Debate Dynamics.

Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Embedding models for episodic knowledge graphs.

Yunpu Ma, Volker Tresp, Erik A. Daxberger

J. Web Semant., 2019

Variational Quantum Circuit Model for Knowledge Graphs Embedding.

Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang

CoRR, 2019

2018

Embedding Models for Episodic Memory.

Yunpu Ma, Volker Tresp, Erik A. Daxberger

CoRR, 2018

Holistic Representations for Memorization and Inference.

Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Improving Information Extraction from Images with Learned Semantic Models.

Stephan Baier, Yunpu Ma, Volker Tresp

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

The Tensor Memory Hypothesis.

Volker Tresp, Yunpu Ma

CoRR, 2017

Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions.

Stephan Baier, Yunpu Ma, Volker Tresp

Proceedings of the Semantic Web - ISWC 2017, 2017

Learning with Knowledge Graphs.

Volker Tresp, Yunpu Ma, Stephan Baier

Proceedings of the Twelfth International Workshop on Neural-Symbolic Learning and Reasoning, 2017

Embedding Learning for Declarative Memories.

Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang

Proceedings of the Semantic Web - 14th International Conference, 2017