Wang, Yuyi

21 publications

NeurIPS 2025 AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches Wenjun Ji, Yuxiang Fu, Luyang Ying, Deng-Ping Fan, Yuyi Wang, Ming-Ming Cheng, Ivor Tsang, Qing Guo
NeurIPS 2025 Constant Bit-Size Transformers Are Turing Complete Qian Li, Yuyi Wang
ICLR 2025 Towards Explaining the Power of Constant-Depth Graph Neural Networks for Structured Linear Programming Qian Li, Minghui Ouyang, Tian Ding, Yuyi Wang, Qingjiang Shi, Ruoyu Sun
MLJ 2023 Limits of Multi-Relational Graphs Juan Alvarado, Yuyi Wang, Jan Ramon
IJCAI 2023 On Discovering Interesting Combinatorial Integer Sequences Martin Svatos, Peter Jung, Jan Tóth, Yuyi Wang, Ondrej Kuzelka
AAAI 2022 Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions Yuanhong Wang, Timothy van Bremen, Yuyi Wang, Ondrej Kuzelka
NeurIPS 2022 Efficient Submodular Optimization Under Noise: Local Search Is Robust Lingxiao Huang, Yuyi Wang, Chunxue Yang, Huanjian Zhou
IJCAI 2021 Fast Algorithms for Relational Marginal Polytopes Yuanhong Wang, Timothy van Bremen, Juhua Pu, Yuyi Wang, Ondrej Kuzelka
AISTATS 2020 Domain-Liftability of Relational Marginal Polytopes Ondrej Kuzelka, Yuyi Wang
AAAI 2020 Improving Neural Relation Extraction with Positive and Unlabeled Learning Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang
PGM 2020 Lifted Weight Learning of Markov Logic Networks (Revisited One More Time) Ondrej Kuzelka, Vyacheslav Kungurtsev, Yuyi Wang
AAAI 2019 High Dimensional Clustering with R-Nets Georgia Avarikioti, Alain Ryser, Yuyi Wang, Roger Wattenhofer
NeurIPS 2019 McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds Rui Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang
AAAI 2018 On the ERM Principle with Networked Data Yuanhong Wang, Yuyi Wang, Xingwu Liu, Juhua Pu
UAI 2018 PAC-Reasoning in Relational Domains Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
AAAI 2018 Relational Marginal Problems: Theory and Estimation Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
AAAI 2018 Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer
ECML-PKDD 2018 VC-Dimension Based Generalization Bounds for Relational Learning Ondrej Kuzelka, Yuyi Wang, Steven Schockaert
ALT 2017 Learning from Networked Examples Yuyi Wang, Zheng-Chu Guo, Jan Ramon
IJCAI 2016 Bounds for Learning from Evolutionary-Related Data in the Realizable Case Ondrej Kuzelka, Yuyi Wang, Jan Ramon
ECML-PKDD 2012 An Efficiently Computable Support Measure for Frequent Subgraph Pattern Mining Yuyi Wang, Jan Ramon