Ma, Yunpu

20 publications

ICLR 2026 Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang

ICLR 2026 HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit Hao Wu, Yingqi Fan, Dai Jinyang, Junlong Tong, Yunpu Ma, Xiaoyu Shen

ICLR 2026 StreamingThinker: Large Language Models Can Think While Reading Junlong Tong, Yingqi Fan, Anhao Zhao, Yunpu Ma, Xiaoyu Shen

ICLRW 2025 Beyond Single-Step: Multi-Frame Action- Conditioned Video Generation for Reinforce- Ment Learning Environments Zongyue Li, Sikuan Yan, Yunpu Ma, Yusong Li, Xing Lyu, Matthias Schubert

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

AAAI 2025 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

ECML-PKDD 2024 FALCUN: A Simple and Efficient Deep Active Learning Strategy Sandra Gilhuber, Anna Beer, Yunpu Ma, Thomas Seidl

ICMLW 2024 SA-DQAS: Self-Attention Enhanced Differentiable Quantum Architecture Search Yize Sun, Jiarui Liu, Zixin Wu, Zifeng Ding, Yunpu Ma, Thomas Seidl, Volker Tresp

NeurIPS 2023 Benchmarking Robustness of Adaptation Methods on Pre-Trained Vision-Language Models Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip Torr, Volker Tresp

NeurIPSW 2023 GenTKG: Generative Forecasting on Temporal Knowledge Graph Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp

NeurIPSW 2023 GenTKG: Generative Forecasting on Temporal Knowledge Graph Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp

ECML-PKDD 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

NeurIPSW 2022 A Simple but Powerful Graph Encoder for Temporal Knowledge Graph Completion Zifeng Ding, Yunpu Ma, Bailan He, Zhen Han, Volker Tresp

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

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

AISTATS 2021 Causal Inference Under Networked Interference and Intervention Policy Enhancement Yunpu Ma, Volker Tresp

ICLR 2021 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp

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

UAI 2018 Holistic Representations for Memorization and Inference Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier

IJCAI 2018 Improving Information Extraction from Images with Learned Semantic Models Stephan Baier, Yunpu Ma, Volker Tresp