Tingting Mu

According to our database, Tingting Mu authored at least 82 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Lipschitz Estimation for CNNs.

Yusuf Sulehman, Tingting Mu

CoRR, 2024

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation.

Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Faster Riemannian Newton-type optimization by subsampling and cubic regularization.

Yian Deng, Tingting Mu

Mach. Learn., September, 2023

Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement.

Jinmeng Wu, Tingting Mu, Jeyan Thiyagalingam, John Yannis Goulermas

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

A Unified Theory of Diversity in Ensemble Learning.

Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown

CoRR, 2023

Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance.

Huw Rhys Jones, Andrei C. Popescu, Yusuf Sulehman, Tingting Mu

IEEE Access, 2023

Physics-Driven ML-Based Modelling for Correcting Inverse Estimation.

Ruiyuan Kang, Tingting Mu, Panagiotis Liatsis, Dimitrios C. Kyritsis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding and Improving Ensemble Adversarial Defense.

Yian Deng, Tingting Mu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning.

Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Image Similarity Learning by Adding External Memory.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jingkuan Song, Meng Wang

IEEE Trans. Knowl. Data Eng., 2022

FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization.

Weijie Fu, Meng Wang, Shijie Hao, Tingting Mu

IEEE Trans. Big Data, 2022

Guest Editorial: Intelligent information processing and services in media convergence.

Meng Wang, Chi Zhang, Shijie Hao, Jun Yu, Tingting Mu

Int. J. Intell. Syst., 2022

Data-driven Approaches to Surrogate Machine Learning Model Development.

Huw Rhys Jones, Tingting Mu, Andrei C. Popescu, Yusuf Sulehman

CoRR, 2022

Improved Imaging by Invex Regularizers with Global Optima Guarantees.

Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP.

Zhicai Wang, Yanbin Hao, Xingyu Gao, Hao Zhang, Shuo Wang, Tingting Mu, Xiangnan He

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Bias-Variance Decompositions for Margin Losses.

Danny Wood, Tingting Mu, Gavin Brown

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Introduction to Big Multimodal Multimedia Data with Deep Analytics.

Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao

ACM Trans. Multim. Comput. Commun. Appl., 2021

Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification.

Mirantha Jayathilaka, Tingting Mu, Uli Sattler

Proceedings of the Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features.

Xia Cui, Amila Gamage, Terry Hanley, Tingting Mu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings.

Mirantha Jayathilaka, Tingting Mu, Uli Sattler

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Cross-Domain Sentiment Encoding through Stochastic Word Embedding.

Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Xueliang Liu, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., 2020

An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam, Meng Wang

IEEE Trans. Image Process., 2020

Self-attention driven adversarial similarity learning network.

Xinjian Gao, Zhao Zhang, Tingting Mu, Xudong Zhang, Chaoran Cui, Meng Wang

Pattern Recognit., 2020

Circular object arrangement using spherical embeddings.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Pattern Recognit., 2020

Building interactive sentence-aware representation based on generative language model for community question answering.

Jinmeng Wu, Tingting Mu, Jeyarajan Thiyagalingam, John Yannis Goulermas

Neurocomputing, 2020

Big Cross-Modal Social Media Data Analytics With Deep Intelligence.

Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao

IEEE Multim., 2020

Zero-Shot Human-Object Interaction Recognition via Affordance Graphs.

Alessio Sarullo, Tingting Mu

CoRR, 2020

Visual-Semantic Embedding Model Informed by Structured Knowledge.

Mirantha Jayathilaka, Tingting Mu, Uli Sattler

Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019

Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning.

Haoxin Ma, Zhiwen Qian, Tingting Mu, Shengxian Shi

Sensors, 2019

Continuation methods for approximate large scale object sequencing.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Mach. Learn., 2019

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks.

Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

On Class Imbalance and Background Filtering in Visual Relationship Detection.

Alessio Sarullo, Tingting Mu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Self-Tuned Descriptive Document Clustering Using a Predictive Network.

Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., 2018

Topic driven multimodal similarity learning with multi-view voted convolutional features.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang

Pattern Recognit., 2018

Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods.

Tingting Mu, John Yannis Goulermas, Sophia Ananiadou

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Attention driven multi-modal similarity learning.

Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang

Inf. Sci., 2018

Evolutionary nonnegative matrix factorization with adaptive control of cluster quality.

Liyun Gong, Tingting Mu, Meng Wang, Hengchang Liu, John Yannis Goulermas

Neurocomputing, 2018

VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images.

Haoxin Ma, Haotian Li, Zhiwen Qian, Shengxian Shi, Tingting Mu

CoRR, 2018

Question Answering Mediated by Visual Clues and Knowledge Graphs.

Fabrício Firmino de Faria, Ricardo Usbeck, Alessio Sarullo, Tingting Mu, André Freitas

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Modular Dimensionality Reduction.

Henry W. J. Reeve, Tingting Mu, Gavin Brown

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval.

Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Ning An, John Yannis Goulermas

IEEE Trans. Multim., 2017

Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension.

Yanbin Hao, Tingting Mu, John Yannis Goulermas, Jianguo Jiang, Richang Hong, Meng Wang

IEEE Trans. Image Process., 2017

Computation of heterogeneous object co-embeddings from relational measurements.

Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas

Pattern Recognit., 2017

Quantifying the Informativeness of Similarity Measurements.

Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas

J. Mach. Learn. Res., 2017

A semi-supervised approach using label propagation to support citation screening.

Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou

J. Biomed. Informatics, 2017

Translating on pairwise entity space for knowledge graph embedding.

Yu Wu, Tingting Mu, John Yannis Goulermas

Neurocomputing, 2017

A Graduated Non-Convexity Relaxation for Large Scale Seriation.

Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Distributed Document and Phrase Co-embeddings for Descriptive Clustering.

Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings.

Danushka Bollegala, Tingting Mu, John Yannis Goulermas

IEEE Trans. Knowl. Data Eng., 2016

A New Measure for Analyzing and Fusing Sequences of Objects.

John Yannis Goulermas, Alexandros Kostopoulos, Tingting Mu

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities.

Tingting Mu, John Yannis Goulermas, Ioannis Korkontzelos, Sophia Ananiadou

J. Assoc. Inf. Sci. Technol., 2016

Local voting based multi-view embedding.

Xinjian Gao, Tingting Mu, Meng Wang

Neurocomputing, 2016

2015

Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching.

Yisi Zhao, Xueming Qian, Tingting Mu

Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Evolutionary Nonnegative Matrix Factorization for Data Compression.

Liyun Gong, Tingting Mu, John Yannis Goulermas

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014

Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection.

Eduardo Rodriguez-Martinez, Tingting Mu, John Yannis Goulermas

IEEE Trans. Cybern., 2014

Prototype reduction based on Direct Weighted Pruning.

Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas

Pattern Recognit. Lett., 2014

Discovering robust Embeddings in (DIS)Similarity Space for High-Dimensional Linguistic Features.

Tingting Mu, Makoto Miwa, Junichi Tsujii, Sophia Ananiadou

Comput. Intell., 2014

2013

Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding.

Eduardo Rodriguez-Martinez, Tingting Mu, Jianmin Jiang, John Yannis Goulermas

IEEE Trans. Neural Networks Learn. Syst., 2013

Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing.

Yan Wang, Jianmin Jiang, Tingting Mu

IEEE Trans. Intell. Transp. Syst., 2013

Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via Regression Analysis.

Tingting Mu, Jianmin Jiang, Yan Wang

IEEE Trans. Intell. Transp. Syst., 2013

Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping.

Tingting Mu, John Yannis Goulermas

IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012

Adaptive Data Embedding Framework for Multiclass Classification.

Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas

IEEE Trans. Neural Networks Learn. Syst., 2012

Cohort-based kernel visualisation with scatter matrices.

Enrique Romero, Tingting Mu, Paulo J. G. Lisboa

Pattern Recognit., 2012

Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data.

Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Towards collaborative feature extraction for face recognition.

Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas

Nat. Comput., 2012

ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials.

Ioannis Korkontzelos, Tingting Mu, Sophia Ananiadou

BMC Medical Informatics Decis. Mak., 2012

2010

Automatic induction of projection pursuit indices.

Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph

IEEE Trans. Neural Networks, 2010

Automated nonlinear feature generation and classification of foot pressure lesions.

Tingting Mu, Todd C. Pataky, Andrew H. Findlow, Min S. H. Aung, John Yannis Goulermas

IEEE Trans. Inf. Technol. Biomed., 2010

Cohort-based kernel visualisation with scatter matrices.

Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa

Proceedings of the International Joint Conference on Neural Networks, 2010

Proximity-based Graph Embeddings for Multi-label Classification.

Tingting Mu, Sophia Ananiadou

Proceedings of the KDIR 2010, 2010

Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation.

Tingting Mu, Xinglong Wang, Jun'ichi Tsujii, Sophia Ananiadou

Proceedings of the COLING 2010, 2010

Collaborative projection pursuit for face recognition.

Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

Multiclass Classification Based on Extended Support Vector Data Description.

Tingting Mu, Asoke K. Nandi

IEEE Trans. Syst. Man Cybern. Part B, 2009

Automatic tuning of <i>L</i>₂-SVM parameters employing the extended Kalman filter.

Tingting Mu, Asoke K. Nandi

Expert Syst. J. Knowl. Eng., 2009

2008

Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers.

Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan

J. Digit. Imaging, 2008

Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm.

Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan

Comput. Biol. Medicine, 2008

Breast cancer diagnosis from fine-needle aspiration using supervised compact hyperspheres and establishment of confidence of malignancy.

Tingting Mu, Asoke K. Nandi

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Breast Cancer Diagnosis and Prognosis using Different Kernel-Based Classifiers.

Tingting Mu, Asoke K. Nandi

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007

Classification of breast masses via nonlinear transformation of features based on a kernel matrix.

Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan

Medical Biol. Eng. Comput., 2007

Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier.

Tingting Mu, Asoke K. Nandi

J. Frankl. Inst., 2007

Analysis of breast tumors in mammograms using the pairwise Rayleigh quotient classifier.

Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan

J. Electronic Imaging, 2007

Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms.

Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan

Proceedings of the IEEE International Conference on Acoustics, 2007