Mu, Tingting

13 publications

UAI 2025 Group-Agent Reinforcement Learning with Heterogeneous Agents Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu

CVPR 2025 Precise, Fast, and Low-Cost Concept Erasure in Value Space: Orthogonal Complement Matters Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He

AAAI 2024 Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song

JMLR 2023 A Unified Theory of Diversity in Ensemble Learning Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown

CVPR 2023 Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He

MLJ 2023 Faster Riemannian Newton-Type Optimization by Subsampling and Cubic Regularization Yian Deng, Tingting Mu

NeurIPS 2023 Physics-Driven ML-Based Modelling for Correcting Inverse Estimation Ruiyuan Kang, Tingting Mu, Panagiotis Liatsis, Dimitrios Kyritsis

NeurIPS 2023 Understanding and Improving Ensemble Adversarial Defense Yian Deng, Tingting Mu

AISTATS 2022 Bias-Variance Decompositions for Margin Losses Danny Wood, Tingting Mu, Gavin Brown

NeurIPS 2022 Improved Imaging by Invex Regularizers with Global Optima Guarantees Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam

MLJ 2019 Continuation Methods for Approximate Large Scale Object Sequencing Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

ECML-PKDD 2018 Modular Dimensionality Reduction Henry W. J. Reeve, Tingting Mu, Gavin Brown

JMLR 2017 Quantifying the Informativeness of Similarity Measurements Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Y. Goulermas