Yunpu Ma

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 79

Top Topics

Temporal Knowledge

Causal Inference

Top Venues

Publications

Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. NAACL-HLT (2024)
Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Wenge Rong, Zhang Xiong
Multimodal Contrastive Transformer for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp
Quantum Architecture Search with Unsupervised Representation Learning. CoRR (2024)
Yize Sun, Jiarui Liu, Yunpu Ma, Volker Tresp
Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. ICASSP (2024)
Yize Sun, Yunpu Ma, Volker Tresp
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. CoRR (2023)
Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong
Debiased Contrastive Loss for Collaborative Filtering. KSEM (3) (2023)
Yize Sun, Yunpu Ma, Volker Tresp
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. QCE (2023)
Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma
The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. Neural Comput. 35 (2) (2023)
Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. IJCNN (2023)
Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning. CoRR (2023)
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. NeurIPS (2023)
Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp
ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. ISWC (2023)
David Winkel, Niklas Strauß, Matthias Schubert, Yunpu Ma, Thomas Seidl
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. PAKDD (2) (2023)
Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph. CoRR (2023)
Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp
Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. CoRR (2023)
Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. CoRR (2023)
Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. ECML/PKDD (3) (2023)
Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion (2023)
Yuanchun Shen, Ruotong Liao, Zhen Han, Yunpu Ma, Volker Tresp
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models. CoRR (2023)
Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN (2023)
Zhuang Liu, Yunpu Ma, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations. Knowl. Inf. Syst. 64 (8) (2022)
Feifei Xu, Shanlin Zhou, Yunpu Ma, Xinpeng Wang, Wenkai Zhang, Zhisong Li
Open-Domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion. DASFAA (3) (2022)
Sandra Gilhuber, Philipp Jahn, Yunpu Ma, Thomas Seidl
VERIPS: Verified Pseudo-label Selection for Deep Active Learning. ICDM (2022)
Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Zhang Xiong
Multi-Modal Contrastive Pre-training for Recommendation. ICMR (2022)
Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL (2022)
Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. CoRR (2022)
Feifei Xu, Shanlin Zhou, Xinpeng Wang, Yunpu Ma, Wenkai Zhang, Zhisong Li
Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion. CoRR (2022)
Christian M. M. Frey, Yunpu Ma, Matthias Schubert
SEA: Graph Shell Attention in Graph Neural Networks. ECML/PKDD (2) (2022)
Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. CoRR (2022)
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI (2022)
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. CoRR (2022)
Sandra Gilhuber, Max Berrendorf, Yunpu Ma, Thomas Seidl
Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations. IAL@PKDD/ECML (2022)
Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. AKBC (2022)
Christian M. M. Frey, Yunpu Ma, Matthias Schubert
MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs. CoRR (2021)
Zai Shi, Zhao Meng, Yiran Xing, Yunpu Ma, Roger Wattenhofer
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers. CoRR (2021)
Haizhou Du, Yan Zhou, Yunpu Ma, Shiwei Wang
Astrologer: Exploiting graph neural Hawkes process for event propagation prediction with spatio-temporal characteristics. Knowl. Based Syst. 228 (2021)
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR (2021)
Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. ICLR (2021)
Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
Adaptive Multi-Resolution Attention with Linear Complexity. CoRR (2021)
Zhuang Liu, Yunpu Ma, Yuanxin Ouyang, Zhang Xiong
Contrastive Learning for Recommender System. CoRR (2021)
Christian M. M. Frey, Yunpu Ma, Matthias Schubert
SEA: Graph Shell Attention in Graph Neural Networks. CoRR (2021)
Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp
Temporal Knowledge Graph Forecasting with Neural ODE. CoRR (2021)
Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. CoRR (2021)
Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. EMNLP (1) (2021)
Yiran Xing, Zai Shi, Zhao Meng, Gerhard Lakemeyer, Yunpu Ma, Roger Wattenhofer
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. ACL/IJCNLP (1) (2021)
Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. EMNLP (1) (2021)
Zhen Han, Gengyuan Zhang, Yunpu Ma, Volker Tresp
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework. EMNLP (1) (2021)
Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. CoRR (2021)
Yunpu Ma, Volker Tresp
Causal Inference under Networked Interference and Intervention Policy Enhancement. AISTATS (2021)
Yiran Xing, Zai Shi, Zhao Meng, Yunpu Ma, Roger Wattenhofer
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. CoRR (2021)
Zai Shi, Zhao Meng, Yiran Xing, Yunpu Ma, Roger Wattenhofer
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers. BMVC (2021)
Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding. CoRR (2021)
Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
Controllable Multi-Character Psychology-Oriented Story Generation. CIKM (2020)
Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma
The Tensor Brain: Semantic Decoding for Perception and Memory. CoRR (2020)
Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp
Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. AKBC (2020)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI (2020)
Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. CoRR (2020)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. CoRR (2020)
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR (2020)
Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. EMNLP (1) (2020)
Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp
Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. CoRR (2020)
Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
Controllable Multi-Character Psychology-Oriented Story Generation. CoRR (2020)
Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. CoRR (2020)
Yunpu Ma, Yuyi Wang, Volker Tresp
Quantum Machine Learning Algorithm for Knowledge Graphs. CoRR (2020)
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI (2020)
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR (2020)
Yunpu Ma, Zhen Han, Volker Tresp
Learning with Temporal Knowledge Graphs. CIKM (Workshops) (2020)
Yunpu Ma, Yuyi Wang, Volker Tresp
Causal Inference under Networked Interference. CoRR (2020)
Yunpu Ma, Volker Tresp, Erik A. Daxberger
Embedding models for episodic knowledge graphs. J. Web Semant. 59 (2019)
Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang
Variational Quantum Circuit Model for Knowledge Graphs Embedding. CoRR (2019)
Stephan Baier, Yunpu Ma, Volker Tresp
Improving Information Extraction from Images with Learned Semantic Models. CoRR (2018)
Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier
Holistic Representations for Memorization and Inference. UAI (2018)
Stephan Baier, Yunpu Ma, Volker Tresp
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. CoRR (2018)
Yunpu Ma, Volker Tresp, Erik A. Daxberger
Embedding Models for Episodic Memory. CoRR (2018)
Stephan Baier, Yunpu Ma, Volker Tresp
Improving Information Extraction from Images with Learned Semantic Models. IJCAI (2018)
Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang
Embedding Learning for Declarative Memories. ESWC (1) (2017)
Volker Tresp, Yunpu Ma
The Tensor Memory Hypothesis. CoRR (2017)
Volker Tresp, Yunpu Ma, Stephan Baier
Learning with Knowledge Graphs. NeSy (2017)
Stephan Baier, Yunpu Ma, Volker Tresp
Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. ISWC (1) (2017)