| 2026 | AAAI | AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models. | Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp |
| 2026 | AAAI | OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model. | Xingcheng Zhou, Xuyuan Han, Feng Yang, Yunpu Ma, Volker Tresp, Alois Knoll |
| 2026 | ACL | Self-Evolving Multi-Agent Systems via Textual Backpropagation. | Xiaowen Ma, Yunpu Ma, Chenyang Lin, Sikuan Yan, Jinhe Bi, Zixuan Cao, Yijun Tian, Volker Tresp, Hinrich Schtze |
| 2026 | ACL | Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning. | Sikuan Yan, Xiufeng Yang, Zuchao Huang, Ercong Nie, Zifeng Ding, Zonggen Li, Xiaowen Ma, Jinhe Bi, Kristian Kersting, Jeff Z. Pan, Hinrich Schtze, Volker Tresp, Yunpu Ma |
| 2026 | EACL | Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. | Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp |
| 2025 | AAAI | FedPop: Federated Population-based Hyperparameter Tuning. | Haokun Chen, Denis Krompa, Jindong Gu, Volker Tresp |
| 2025 | AAAI | WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. | Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp |
| 2025 | ACL | Multimodal Pragmatic Jailbreak on Text-to-image Models. | Tong Liu, Zhixin Lai, Jiawen Wang, Gengyuan Zhang, Shuo Chen, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu |
| 2025 | ACL | FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. | Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp |
| 2025 | ACL | 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 |
| 2025 | AISTATS | Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. | Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner |
| 2025 | CVPR | FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. | Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp |
| 2025 | CVPR | Localizing Events in Videos with Multimodal Queries. | Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu |
| 2025 | EMNLP | METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. | Mengyue Wang, Shuo Chen, Kristian Kersting, Volker Tresp, Yunpu Ma |
| 2025 | EMNLP | SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. | Yao Zhang, Chenyang Lin, Shijie Tang, Haokun Chen, Shijie Zhou, Yunpu Ma, Volker Tresp |
| 2025 | QCE | First Experience with Real-Time Control Using Simulated VQC-Based Quantum Policies. | Yize Sun, Mohamad Hagog, Marc Weber, Daniel Hein, Steffen Udluft, Yunpu Ma, Volker Tresp |
| 2025 | QCE | Learning Control with Simulated Variational Quantum Policies in a Surrogate Cart-Pole Environment. | Yize Sun, Mohamad Hagog, Marc Weber, Daniel Hein, Steffen Udluft, Yunpu Ma, Volker Tresp |
| 2025 | SIGIR | Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables. | Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp |
| 2025 | WACV | Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? | Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu |
| 2025 | WACV | Perceive. Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. | Roberto Amoroso, Gengyuan Zhang, Rajat Koner, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp |
| 2025 | WACV | CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. | Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp |
| 2024 | AAAI | FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. | Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp |
| 2024 | CVPR | Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. | Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu |
| 2024 | ECCV | LookupViT: Compressing Visual Information to a Limited Number of Tokens. | Rajat Koner, Gagan Jain, Prateek Jain, Volker Tresp, Sujoy Paul |
| 2024 | EMNLP | Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. | Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Visual Question Decomposition on Multimodal Large Language Models. | Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu |
| 2024 | ESANN | Why long model-based rollouts are no reason for bad Q-value estimates. | Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp |
| 2024 | ICASSP | Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. | Yize Sun, Jiarui Liu, Yunpu Ma, Volker Tresp |
| 2024 | ICML | Provably Better Explanations with Optimized Aggregation of Feature Attributions. | Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner |
| 2024 | ICPR | GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. | Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl |
| 2024 | KDD | Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. | Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner |
| 2024 | NAACL | 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 |
| 2024 | NAACL | GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. | Ruotong Liao, Xu Jia, Yangzhe Li, Yunpu Ma, Volker Tresp |
| 2024 | WACV | What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. | Maximilian Bernhard, Roberto Amoroso, Yannic Kindermann, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp, Matthias Schubert |
| 2024 | WACV | Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. | Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp |
| 2024 | WACV | Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning. | Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp |
| 2023 | AAAI | InstanceFormer: An Online Video Instance Segmentation Framework. | Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp |
| 2023 | ACL | ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. | Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schtze, Volker Tresp |
| 2023 | GECCO | QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. | Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert |
| 2023 | ICASSP | Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. | Thomas Decker, Michael Lebacher, Volker Tresp |
| 2023 | ICCV | Do DALL-E and Flamingo Understand Each Other? | Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp |
| 2023 | ICCV | FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. | Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp |
| 2023 | ICCV | Multi-event Video-Text Retrieval. | Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp |
| 2023 | IJCNN | 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 |
| 2023 | IJCNN | Adaptive Multi-Resolution Attention with Linear Complexity. | Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp |
| 2023 | INDIN | Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. | Thomas Decker, Michael Lebacher, Volker Tresp |
| 2023 | QCE | Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. | Yize Sun, Yunpu Ma, Volker Tresp |
| 2023 | QCE | Workshop Summary: Quantum Machine Learning. | Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer |
| 2023 | VLDB | Adversarial Attacks on Tables with Entity Swap. | Aneta Koleva, Martin Ringsquandl, Volker Tresp |
| 2022 | AAAI | TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. | Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp |
| 2022 | AAAI | Improving Scene Graph Classification by Exploiting Knowledge from Texts. | Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schtze, Volker Tresp |
| 2022 | ACML | Towards Data-Free Domain Generalization. | Ahmed Frikha, Haokun Chen, Denis Krompa, Thomas A. Runkler, Volker Tresp |
| 2022 | ECCV | Are Vision Transformers Robust to Patch Perturbations? | Jindong Gu, Volker Tresp, Yao Qin |
| 2022 | ECCV | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. | Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr |
| 2022 | ECCV | Relationformer: A Unified Framework for Image-to-Graph Generation. | Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze |
| 2022 | EMNLP | Named Entity Recognition in Industrial Tables using Tabular Language Models. | Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp |
| 2022 | ICPR | Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. | Ahmed Frikha, Denis Krompa, Volker Tresp |
| 2022 | IJCAI | Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). | Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann |
| 2022 | IJCNN | On Calibration of Graph Neural Networks for Node Classification. | Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp |
| 2021 | AAAI | Few-Shot One-Class Classification via Meta-Learning. | Ahmed Frikha, Denis Krompa, Hans-Georg Kpken, Volker Tresp |
| 2021 | AAAI | Classification by Attention: Scene Graph Classification with Prior Knowledge. | Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp |
| 2021 | AISTATS | Causal Inference under Networked Interference and Intervention Policy Enhancement. | Yunpu Ma, Volker Tresp |
| 2021 | BMVC | OODformer: Out-Of-Distribution Detection Transformer. | Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Gnnemann, Volker Tresp |
| 2021 | CVPR | Capsule Network Is Not More Robust Than Convolutional Network. | Jindong Gu, Volker Tresp, Han Hu |
| 2021 | ECIR | Active Learning for Entity Alignment. | Max Berrendorf, Evgeniy Faerman, Volker Tresp |
| 2021 | EMNLP | Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. | Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp |
| 2021 | EMNLP | 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 |
| 2021 | ICLR | Effective and Efficient Vote Attack on Capsule Networks. | Jindong Gu, Baoyuan Wu, Volker Tresp |
| 2021 | ICLR | Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. | Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp |
| 2021 | ICLR | Mutual Information State Intrinsic Control. | Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu |
| 2021 | IJCNN | Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. | Jindong Gu, Rui Zhao, Volker Tresp |
| 2021 | SSDBM | NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. | Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl |
| 2020 | AAAI | Reasoning on Knowledge Graphs with Debate Dynamics. | Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp |
| 2020 | ACCV | Introspective Learning by Distilling Knowledge from Online Self-explanation. | Jindong Gu, Zhiliang Wu, Volker Tresp |
| 2020 | CIKM | CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. | Mehwish Alam, Paul Groth, Pascal Hitzler, Heiko Paulheim, Harald Sack, Volker Tresp |
| 2020 | CIKM | Learning with Temporal Knowledge Graphs. | Yunpu Ma, Zhen Han, Volker Tresp |
| 2020 | CIKM | Controllable Multi-Character Psychology-Oriented Story Generation. | Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du |
| 2020 | CVPR | Improving the Robustness of Capsule Networks to Image Affine Transformations. | Jindong Gu, Volker Tresp |
| 2020 | ECAI | Search for Better Students to Learn Distilled Knowledge. | Jindong Gu, Volker Tresp |
| 2020 | ECIR | Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. | Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl |
| 2020 | EMNLP | DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. | Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp |
| 2020 | EMNLP | An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. | Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schtze |
| 2020 | GI | Knstliche Intelligenz - Die dritte Welle. | Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen |
| 2020 | ICASSP | Human-Machine Collaboration for Medical Image Segmentation. | Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi |
| 2020 | ICPR | ARCADe: A Rapid Continual Anomaly Detector. | Ahmed Frikha, Denis Krompa, Volker Tresp |
| 2020 | ICPR | Improving Visual Relation Detection using Depth Maps. | Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp |
| 2019 | ICML | Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. | Rui Zhao, Xudong Sun, Volker Tresp |
| 2019 | INDIN | Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. | Marcel Hildebrandt, Mohamed Khalil, Christoph Bergs, Volker Tresp, Roland Wchner, Kai-Uwe Bletzinger, Michael Heizmann |
| 2019 | MICCAI | Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. | Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp |
| 2018 | ACCV | Understanding Individual Decisions of CNNs via Contrastive Backpropagation. | Jindong Gu, Yinchong Yang, Volker Tresp |
| 2018 | CoRL | Energy-Based Hindsight Experience Prioritization. | Rui Zhao, Volker Tresp |
| 2018 | IJCAI | Improving Information Extraction from Images with Learned Semantic Models. | Stephan Baier, Yunpu Ma, Volker Tresp |
| 2018 | IJCAI | Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. | Rui Zhao, Volker Tresp |
| 2018 | UAI | Holistic Representations for Memorization and Inference. | Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier |
| 2017 | ESANN | Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. | Stephan Baier, Sigurd Spieckermann, Volker Tresp |
| 2017 | ICML | Tensor-Train Recurrent Neural Networks for Video Classification. | Yinchong Yang, Denis Krompass, Volker Tresp |
| 2017 | NeSy | Learning with Knowledge Graphs. | Volker Tresp, Yunpu Ma, Stephan Baier |
| 2016 | FUSION | Predicting the co-evolution of event and Knowledge Graphs. | Cristbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass |
| 2014 | DSAA | Large-scale factorization of type-constrained multi-relational data. | Denis Krompass, Maximilian Nickel, Volker Tresp |
| 2012 | EMNLP | Natural Language Questions for the Web of Data. | Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum |
| 2012 | WWW | Factorizing YAGO: scalable machine learning for linked data. | Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel |
| 2012 | WWW | Deep answers for naturally asked questions on the web of data. | Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum |
| 2011 | IC3K | Graphical Models for Relations - Modeling Relational Context. | Volker Tresp, Yi Huang, Xueyan Jiang, Achim Rettinger |
| 2011 | ICML | A Three-Way Model for Collective Learning on Multi-Relational Data. | Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel |
| 2010 | CIKM | Digging for knowledge with information extraction: a case study on human gene-disease associations. | Markus Bundschus, Anna Bauer-Mehren, Volker Tresp, Laura Ins Furlong, Hans-Peter Kriegel |
| 2010 | ILP | Multivariate Prediction for Learning on the Semantic Web. | Yi Huang, Volker Tresp, Markus Bundschus, Achim Rettinger, Hans-Peter Kriegel |
| 2009 | ICDM | Hierarchical Bayesian Models for Collaborative Tagging Systems. | Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathus Dejori, Hans-Peter Kriegel |
| 2009 | ICML | Tutorial summary: Learning with dependencies between several response variables. | Volker Tresp, Kai Yu |
| 2009 | IJCAI | Multi-Relational Learning with Gaussian Processes. | Zhao Xu, Kristian Kersting, Volker Tresp |
| 2008 | KDD | Social Network Mining with Nonparametric Relational Models. | Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting |
| 2007 | ICANN | Structure Learning with Nonparametric Decomposable Models. | Anton Schwaighofer, Mathus Dejori, Volker Tresp, Martin Stetter |
| 2007 | ICML | Robust multi-task learning with | Shipeng Yu, Volker Tresp, Kai Yu |
| 2006 | ICML | Active learning via transductive experimental design. | Kai Yu, Jinbo Bi, Volker Tresp |
| 2006 | ICML | Collaborative ordinal regression. | Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel |
| 2006 | KDD | Supervised probabilistic principal component analysis. | Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu |
| 2006 | UAI | Infinite Hidden Relational Models. | Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel |
| 2005 | AISTATS | Dirichlet Enhanced Latent Semantic Analysis. | Kai Yu, Shipeng Yu, Volker Tresp |
| 2005 | CVPR | Multi-Output Regularized Projection. | Kai Yu, Shipeng Yu, Volker Tresp |
| 2005 | ICDM | Hierarchy-Regularized Latent Semantic Indexing. | Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel |
| 2005 | ICML | Dirichlet enhanced relational learning. | Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel |
| 2005 | ICML | Learning Gaussian processes from multiple tasks. | Kai Yu, Volker Tresp, Anton Schwaighofer |
| 2005 | SIGIR | Multi-label informed latent semantic indexing. | Kai Yu, Shipeng Yu, Volker Tresp |
| 2004 | SIGIR | A nonparametric hierarchical bayesian framework for information filtering. | Kai Yu, Volker Tresp, Shipeng Yu |
| 2003 | ECIR | A Hybrid Relevance-Feedback Approach to Text Retrieval. | Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp |
| 2003 | ECIR | Representative Sampling for Text Classification Using Support Vector Machines. | Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang |
| 2003 | UAI | Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. | Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang |
| 2002 | CIKM | Removing redundancy and inconsistency in memory-based collaborative filtering. | Kai Yu, Xiaowei Xu, Anton Schwaighofer, Volker Tresp, Hans-Peter Kriegel |
| 2001 | AIME | Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System. | Joachim Horn, Thomas Birkhlzer, Oliver Hogl, Marco Pellegrino, Ruxandra Scheiterer, Kai-Uwe Schmidt, Volker Tresp |
| 2001 | ICANN | The Bayesian Committee Support Vector Machine. | Anton Schwaighofer, Volker Tresp |
| 2001 | ICANN | Scalable Kernel Systems. | Volker Tresp, Anton Schwaighofer |
| 2000 | KDD | The generalized Bayesian committee machine. | Volker Tresp |
| 1999 | AISTATS | Mean field inference in a general probabilistic setting. | Michael Haft, Reimar Hofmann, Volker Tresp |
| 1999 | UAI | Mixture Approximations to Bayesian Networks. | Volker Tresp, Michael Haft, Reimar Hofmann |
| 1998 | ICASSP | Fraud detection in communication networks using neural and probabilistic methods. | Michiaki Taniguchi, Michael Haft, Jaakko Hollmn, Volker Tresp |
| 1997 | ICANN | Combining Regularized Neural Networks. | Michiaki Taniguchi, Volker Tresp |