Embedding Learning for Declarative Memories. - Volker Tresp; Yunpu Ma; Stephan Baier; Yinchong Yang (ESWC (1), 2017)

Learning with Knowledge Graphs. - Volker Tresp; Yunpu Ma; Stephan Baier (NeSy, 2017)

Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. - Stephan Baier; Yunpu Ma; Volker Tresp (ISWC (1), 2017)

The Tensor Memory Hypothesis. - Volker Tresp; Yunpu Ma (CoRR, 2017)

Improving Information Extraction from Images with Learned Semantic Models. - Stephan Baier; Yunpu Ma; Volker Tresp (IJCAI, 2018)

Holistic Representations for Memorization and Inference. - Yunpu Ma; Marcel Hildebrandt; Volker Tresp; Stephan Baier (UAI, 2018)

Embedding Models for Episodic Memory. - Yunpu Ma; Volker Tresp; Erik A. Daxberger (CoRR, 2018)

Variational Quantum Circuit Model for Knowledge Graphs Embedding. - Yunpu Ma; Volker Tresp; Liming Zhao; Yuyi Wang 001 (CoRR, 2019)

Embedding models for episodic knowledge graphs. - Yunpu Ma; Volker Tresp; Erik A. Daxberger (J. Web Semant., 2019)

Reasoning on Knowledge Graphs with Debate Dynamics. - Marcel Hildebrandt; Jorge Andres Quintero Serna; Yunpu Ma; Martin Ringsquandl; Mitchell Joblin; Volker Tresp (AAAI, 2020)

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. - Zhen Han 003; Yunpu Ma; Yuyi Wang 001; Stephan Günnemann; Volker Tresp (AKBC, 2020)

Learning with Temporal Knowledge Graphs. - Yunpu Ma; Zhen Han 003; Volker Tresp (CIKM (Workshops), 2020)

Controllable Multi-Character Psychology-Oriented Story Generation. - Feifei Xu; Xinpeng Wang 001; Yunpu Ma; Volker Tresp; Yuyi Wang 001; Shanlin Zhou; Haizhou Du (CIKM, 2020)

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. - Zhen Han 003; Peng Chen; Yunpu Ma; Volker Tresp (EMNLP (1), 2020)

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. - Zhiliang Wu; Yinchong Yang; Yunpu Ma; Yushan Liu 002; Rui Zhao 011; Michael Moor; Volker Tresp (ICHI, 2020)

Quantum Machine Learning Algorithm for Knowledge Graphs. - Yunpu Ma; Yuyi Wang 001; Volker Tresp (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)

The Tensor Brain: Semantic Decoding for Perception and Memory. - Volker Tresp; Sahand Sharifzadeh; Dario Konopatzki; Yunpu Ma (CoRR, 2020)

Causal Inference under Networked Interference. - Yunpu Ma; Yuyi Wang 001; Volker Tresp (CoRR, 2020)

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. - Zhen Han 003; Yuyi Wang 001; Yunpu Ma; Stephan Günnemann; Volker Tresp (CoRR, 2020)

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. - Zhen Han 003; Peng Chen; Yunpu Ma; Volker Tresp (CoRR, 2020)

Learning with relational knowledge in the context of cognition, quantum computing, and causality. - Yunpu Ma (2020)

KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. - Yiran Xing; Zai Shi; Zhao Meng; Gerhard Lakemeyer; Yunpu Ma; Roger Wattenhofer (ACL/IJCNLP (1), 2021)

Causal Inference under Networked Interference and Intervention Policy Enhancement. - Yunpu Ma; Volker Tresp (AISTATS, 2021)

3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers. - Zai Shi; Zhao Meng; Yiran Xing; Yunpu Ma; Roger Wattenhofer (BMVC, 2021)

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. - Zhen Han 003; Zifeng Ding; Yunpu Ma; Yujia Gu; Volker Tresp (EMNLP (1), 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 003; Gengyuan Zhang; Yunpu Ma; Volker Tresp (EMNLP (1), 2021)

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. - Haohai Sun; Jialun Zhong; Yunpu Ma; Zhen Han 003; Kun He 001 (EMNLP (1), 2021)

Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. - Zhen Han 003; Peng Chen; Yunpu Ma; Volker Tresp (ICLR, 2021)

KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. - Yiran Xing; Zai Shi; Zhao Meng; Yunpu Ma; Roger Wattenhofer (CoRR, 2021)

Contrastive Learning for Recommender System. - Zhuang Liu 004; Yunpu Ma; Yuanxin Ouyang; Zhang Xiong 001 (CoRR, 2021)

Temporal Knowledge Graph Forecasting with Neural ODE. - Zifeng Ding; Zhen Han 003; Yunpu Ma; Volker Tresp (CoRR, 2021)

MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs. - Christian M. M. Frey; Yunpu Ma; Matthias Schubert (CoRR, 2021)

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Volker Tresp (CoRR, 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)

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. - Yushan Liu 002; Yunpu Ma; Marcel Hildebrandt; Mitchell Joblin; Volker Tresp (AAAI, 2022)

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. - Guirong Fu; Zhao Meng; Zhen Han 003; Zifeng Ding; Yunpu Ma; Matthias Schubert; Volker Tresp; Roger Wattenhofer (SPNLP@ACL, 2022)

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. - Zifeng Ding; Jingpei Wu; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (AKBC, 2022)

Open-Domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion. - Feifei Xu; Shanlin Zhou; Yunpu Ma; Xinpeng Wang 001; Wenkai Zhang; Zhisong Li (DASFAA (3), 2022)

VERIPS: Verified Pseudo-label Selection for Deep Active Learning. - Sandra Gilhuber; Philipp Jahn 001; Yunpu Ma; Thomas Seidl 001 (ICDM, 2022)

Multi-Modal Contrastive Pre-training for Recommendation. - Zhuang Liu 004; Yunpu Ma; Matthias Schubert; Yuanxin Ouyang; Zhang Xiong 001 (ICMR, 2022)

SEA: Graph Shell Attention in Graph Neural Networks. - Christian M. M. Frey; Yunpu Ma; Matthias Schubert (ECML/PKDD (2), 2022)

Accelerating Diversity Sampling for Deep Active Learning By Low-Dimensional Representations. - Sandra Gilhuber; Max Berrendorf; Yunpu Ma; Thomas Seidl 001 (IAL@PKDD/ECML, 2022)

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (CoRR, 2022)

Forecasting Question Answering over Temporal Knowledge Graphs. - Zifeng Ding; Ruoxia Qi; Zongyue Li; Bailan He; Jingpei Wu; Yunpu Ma; Zhao Meng; Zhen Han 003; Volker Tresp (CoRR, 2022)

CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations. - Zhuang Liu 004; Yunpu Ma; Marcel Hildebrandt; Yuanxin Ouyang; Zhang Xiong 001 (Knowl. Inf. Syst., 2022)

QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. - Alessandro Giovagnoli; Volker Tresp; Yunpu Ma; Matthias Schubert (GECCO Companion, 2023)

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Jingpei Wu; Yunpu Ma; Zhen Han 003; Volker Tresp (IJCNN, 2023)

Adaptive Multi-Resolution Attention with Linear Complexity. - Yao Zhang; Yunpu Ma; Thomas Seidl 001; Volker Tresp (IJCNN, 2023)

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Jingpei Wu; Zhen Han 003; Volker Tresp (IntelliSys (3), 2023)

Debiased Contrastive Loss for Collaborative Filtering. - Zhuang Liu 004; Yunpu Ma; Haoxuan Li 003; Marcel Hildebrandt; Yuanxin Ouyang; Zhang Xiong 001 (KSEM (3), 2023)

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. - Shuo Chen 014; Jindong Gu; Zhen Han 003; Yunpu Ma; Philip H. S. Torr; Volker Tresp (NeurIPS, 2023)

Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. - David Winkel; Niklas Strauß; Matthias Schubert; Yunpu Ma; Thomas Seidl 001 (PAKDD (2), 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 (ECML/PKDD (3), 2023)

Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. - Yize Sun; Yunpu Ma; Volker Tresp (QCE, 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 014; Ruotong Liao; Zhen Han 003; Volker Tresp (ISWC, 2023)

GenTKG: Generative Forecasting on Temporal Knowledge Graph. - Ruotong Liao; Xu Jia 012; Yunpu Ma; Volker Tresp (CoRR, 2023)

GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models. - Yuanchun Shen; Ruotong Liao; Zhen Han 003; Yunpu Ma; Volker Tresp (CoRR, 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)

The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. - Volker Tresp; Sahand Sharifzadeh; Hang Li 010; Dario Konopatzki; Yunpu Ma (Neural Comput., 2023)

VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs. - Ruotong Liao; Max Erler; Huiyu Wang; Guangyao Zhai; Gengyuan Zhang; Yunpu Ma; Volker Tresp (EMNLP (Findings), 2024)

Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. - Yize Sun; Jiarui Liu; Yunpu Ma; Volker Tresp (ICASSP, 2024)

zrLLM: 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 (NAACL-HLT, 2024)

GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. - Ruotong Liao; Xu Jia 012; Yangzhe Li; Yunpu Ma; Volker Tresp (NAACL-HLT (Findings), 2024)

FALCUN: A Simple and Efficient Deep Active Learning Strategy. - Sandra Gilhuber; Anna Beer 001; Yunpu Ma; Thomas Seidl 001 (ECML/PKDD (3), 2024)

Quantum Architecture Search with Unsupervised Representation Learning. - Yize Sun; Zixin Wu; Yunpu Ma; Volker Tresp (CoRR, 2024)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. - Yilun Liu; Yunpu Ma; Shuo Chen 014; Zifeng Ding; Bailan He; Zhen Han 003; Volker Tresp (CoRR, 2024)

Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. - Jinhe Bi; Yujun Wang; Haokun Chen; Xun Xiao; Artur Hecker; Volker Tresp; Yunpu Ma (CoRR, 2024)

Multimodal Contrastive Transformer for Explainable Recommendation. - Zhuang Liu 004; Yunpu Ma; Matthias Schubert; Yuanxin Ouyang; Wenge Rong; Zhang Xiong 001 (IEEE Trans. Comput. Soc. Syst., 2024)

WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. - Yao Zhang; Zijian Ma; Yunpu Ma; Zhen Han 003; Yu Wu; Volker Tresp (AAAI, 2025)

LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. - Jinhe Bi; Yujun Wang; Haokun Chen; Xun Xiao; Artur Hecker; Volker Tresp; Yunpu Ma (ACL (1), 2025)

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. - Zifeng Ding; Yifeng Li; Yuan He 008; Antonio Norelli; Jingcheng Wu; Volker Tresp; Michael M. Bronstein; Yunpu Ma (Trans. Mach. Learn. Res., 2025)

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection. - Jinhe Bi; Yifan Wang 021; Danqi Yan; Xun Xiao; Artur Hecker; Volker Tresp; Yunpu Ma (CoRR, 2025)

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. - Yuan He 008; Bailan He; Zifeng Ding; Alisia Maria Lupidi; Yuqicheng Zhu; Shuo Chen 014; Caiqi Zhang; Jiaoyan Chen 001; Yunpu Ma; Volker Tresp; Ian Horrocks 001 (CoRR, 2025)

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model. - Xingcheng Zhou; Xuyuan Han; Feng Yang; Yunpu Ma; Alois C. Knoll (CoRR, 2025)

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. - Jinhe Bi; Danqi Yan; Yifan Wang 021; Wenke Huang; Haokun Chen; Guancheng Wan; Mang Ye; Xun Xiao; Hinrich Schütze; Volker Tresp; Yunpu Ma (CoRR, 2025)

Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes. - Mingyang Wang 003; Lukas Lange; Heike Adel; Yunpu Ma; Jannik Strötgen; Hinrich Schütze (CoRR, 2025)

METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. - Mengyue Wang; Shuo Chen 014; Kristian Kersting; Volker Tresp; Yunpu Ma (CoRR, 2025)

Improving LLM Reasoning through Interpretable Role-Playing Steering. - Anyi Wang; Dong Shu; Yifan Wang; Yunpu Ma; Mengnan Du (CoRR, 2025)

Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation. - Xiaowen Ma; Chenyang Lin; Yao Zhang; Volker Tresp; Yunpu Ma (CoRR, 2025)

ImpliRet: Benchmarking the Implicit Fact Retrieval Challenge. - Zeinab Sadat Taghavi; Ali Modarressi; Yunpu Ma; Hinrich Schütze (CoRR, 2025)

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM. - Yujun Wang; Jinhe Bi; Yunpu Ma; Sören Pirk (CoRR, 2025)

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models. - Yao Zhang; Hewei Gao; Haokun Chen; Weiguo Li; Yunpu Ma; Volker Tresp (CoRR, 2025)

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. - Yao Zhang; Chenyang Lin; Shijie Tang; Haokun Chen; Shijie Zhou; Yunpu Ma; Volker Tresp (CoRR, 2025)

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. - Yilun Liu; Yunpu Ma; Yuetian Lu; Shuo Chen 014; Zifeng Ding; Volker Tresp (CoRR, 2025)

MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media. - Rui Lu; Jinhe Bi; Yunpu Ma; Feng Xiao; Yuntao Du; Yijun Tian (CoRR, 2025)