Tingting Mu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 67

Top Topics

Textual Features

Machine Learning

Question Answering

Nonnegative Matrix Factorization

Top Venues

IEEE Trans. Knowl. Data Eng.

Pattern Recognit.

Publications

Yusuf Sulehman, Tingting Mu
Scalable Lipschitz Estimation for CNNs. CoRR (2024)
Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. AAAI (2024)
Jiyang Li, Lechao Cheng, Zhangye Wang, Tingting Mu, Jingxuan He
LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field. CoRR (2024)
Jinmeng Wu, Tingting Mu, Jeyarajan Thiyagalingam, Hanyu Hong, Yanbin Hao, Tianxu Zhang, John Yannis Goulermas
Iterative Semantic Transformer by Greedy Distillation for Community Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown
A Unified Theory of Diversity in Ensemble Learning. CoRR (2023)
Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning. CoRR (2023)
Huw Rhys Jones, Andrei C. Popescu, Yusuf Sulehman, Tingting Mu
Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance. IEEE Access 11 (2023)
Ruiyuan Kang, Tingting Mu, Panagiotis Liatsis, Dimitrios C. Kyritsis
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. NeurIPS (2023)
Jinmeng Wu, Tingting Mu, Jeyan Thiyagalingam, John Yannis Goulermas
Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. IEEE Trans. Syst. Man Cybern. Syst. 53 (7) (2023)
Yian Deng, Tingting Mu
Understanding and Improving Ensemble Adversarial Defense. CoRR (2023)
Yian Deng, Tingting Mu
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization. CoRR (2023)
Yian Deng, Tingting Mu
Understanding and Improving Ensemble Adversarial Defense. NeurIPS (2023)
Yian Deng, Tingting Mu
Faster Riemannian Newton-type optimization by subsampling and cubic regularization. Mach. Learn. 112 (9) (2023)
Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning. CVPR (2023)
Ruiyuan Kang, Tingting Mu, Panos Liatsis, Dimitrios C. Kyritsis
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. CoRR (2023)
Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song
Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation. CoRR (2023)
Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jingkuan Song, Meng Wang
Improving Image Similarity Learning by Adding External Memory. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
H. Rhys Jones, Tingting Mu, Andrei C. Popescu, Yusuf Sulehman
Data-driven Approaches to Surrogate Machine Learning Model Development. CoRR (2022)
Meng Wang, Chi Zhang, Shijie Hao, Jun Yu, Tingting Mu
Guest Editorial: Intelligent information processing and services in media convergence. Int. J. Intell. Syst. 37 (5) (2022)
Zhicai Wang, Yanbin Hao, Xingyu Gao, Hao Zhang, Shuo Wang, Tingting Mu, Xiangnan He
Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP. ACM Multimedia (2022)
Zhicai Wang, Yanbin Hao, Xingyu Gao, Hao Zhang, Shuo Wang, Tingting Mu, Xiangnan He
Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP. CoRR (2022)
Weijie Fu, Meng Wang, Shijie Hao, Tingting Mu
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization. IEEE Trans. Big Data 8 (3) (2022)
Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam
Improved Imaging by Invex Regularizers with Global Optima Guarantees. NeurIPS (2022)
Danny Wood, Tingting Mu, Gavin Brown
Bias-Variance Decompositions for Margin Losses. AISTATS (2022)
Danny Wood, Tingting Mu, Gavin Brown
Bias-Variance Decompositions for Margin Losses. CoRR (2022)
Xia Cui, Amila Gamage, Terry Hanley, Tingting Mu
Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features. Interspeech (2021)
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. MLSMKG@PKDD/ECML (2021)
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings. ICMLA (2021)
Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao
Introduction to Big Multimodal Multimedia Data with Deep Analytics. ACM Trans. Multim. Comput. Commun. Appl. 17 (1s) (2021)
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. CoRR (2021)
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
Visual-Semantic Embedding Model Informed by Structured Knowledge. STAIRS@ECAI (2020)
Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam, Meng Wang
An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts. IEEE Trans. Image Process. 29 (2020)
Jinmeng Wu, Tingting Mu, Jeyarajan Thiyagalingam, John Yannis Goulermas
Building interactive sentence-aware representation based on generative language model for community question answering. Neurocomputing 389 (2020)
Mirantha Jayathilaka, Tingting Mu, Uli Sattler
Visual-Semantic Embedding Model Informed by Structured Knowledge. CoRR (2020)
Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Xueliang Liu, John Yannis Goulermas
Cross-Domain Sentiment Encoding through Stochastic Word Embedding. IEEE Trans. Knowl. Data Eng. 32 (10) (2020)
Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
Circular object arrangement using spherical embeddings. Pattern Recognit. 103 (2020)
Xinjian Gao, Zhao Zhang, Tingting Mu, Xudong Zhang, Chaoran Cui, Meng Wang
Self-attention driven adversarial similarity learning network. Pattern Recognit. 105 (2020)
Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao
Big Cross-Modal Social Media Data Analytics With Deep Intelligence. IEEE Multim. 27 (4) (2020)
Alessio Sarullo, Tingting Mu
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs. CoRR (2020)
Haoxin Ma, Zhiwen Qian, Tingting Mu, Shengxian Shi
Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning. Sensors 19 (20) (2019)
Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. NAACL-HLT (1) (2019)
Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
Continuation methods for approximate large scale object sequencing. Mach. Learn. 108 (4) (2019)
Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. CoRR (2019)
Alessio Sarullo, Tingting Mu
On Class Imbalance and Background Filtering in Visual Relationship Detection. IJCNN (2019)
Alessio Sarullo, Tingting Mu
On Class Imbalance and Background Filtering in Visual Relationship Detection. CoRR (2019)
Liyun Gong, Tingting Mu, Meng Wang, Hengchang Liu, John Yannis Goulermas
Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing 272 (2018)
Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas
Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Trans. Knowl. Data Eng. 30 (10) (2018)
Tingting Mu, John Yannis Goulermas, Sophia Ananiadou
Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods. IEEE Trans. Pattern Anal. Mach. Intell. 40 (6) (2018)
Haoxin Ma, Haotian Li, Zhiwen Qian, Shengxian Shi, Tingting Mu
VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images. CoRR (2018)
Henry W. J. Reeve, Tingting Mu, Gavin Brown
Modular Dimensionality Reduction. ECML/PKDD (1) (2018)
Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang
Topic driven multimodal similarity learning with multi-view voted convolutional features. Pattern Recognit. 75 (2018)
Fabrício F. de Faria, Ricardo Usbeck, Alessio Sarullo, Tingting Mu, André Freitas
Question Answering Mediated by Visual Clues and Knowledge Graphs. WWW (Companion Volume) (2018)
Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang
Attention driven multi-modal similarity learning. Inf. Sci. 432 (2018)
Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas
Computation of heterogeneous object co-embeddings from relational measurements. Pattern Recognit. 65 (2017)
Yu Wu, Tingting Mu, John Yannis Goulermas
Translating on pairwise entity space for knowledge graph embedding. Neurocomputing 260 (2017)
Yanbin Hao, Tingting Mu, John Yannis Goulermas, Jianguo Jiang, Richang Hong, Meng Wang
Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension. IEEE Trans. Image Process. 26 (11) (2017)
Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas
Quantifying the Informativeness of Similarity Measurements. J. Mach. Learn. Res. 18 (2017)
Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
A Graduated Non-Convexity Relaxation for Large Scale Seriation. SDM (2017)
Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Ning An, John Yannis Goulermas
Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval. IEEE Trans. Multim. 19 (1) (2017)
Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou
Distributed Document and Phrase Co-embeddings for Descriptive Clustering. EACL (1) (2017)
Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou
A semi-supervised approach using label propagation to support citation screening. J. Biomed. Informatics 72 (2017)
Tingting Mu, John Yannis Goulermas, Ioannis Korkontzelos, Sophia Ananiadou
Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities. J. Assoc. Inf. Sci. Technol. 67 (1) (2016)
John Yannis Goulermas, Alexandros Kostopoulos, Tingting Mu
A New Measure for Analyzing and Fusing Sequences of Objects. IEEE Trans. Pattern Anal. Mach. Intell. 38 (5) (2016)
Danushka Bollegala, Tingting Mu, John Yannis Goulermas
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. 28 (2) (2016)
Xinjian Gao, Tingting Mu, Meng Wang
Local voting based multi-view embedding. Neurocomputing 171 (2016)
Yisi Zhao, Xueming Qian, Tingting Mu
Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching. MMM (2) (2015)
Liyun Gong, Tingting Mu, John Yannis Goulermas
Evolutionary Nonnegative Matrix Factorization for Data Compression. ICIC (1) (2015)
Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas
Prototype reduction based on Direct Weighted Pruning. Pattern Recognit. Lett. 36 (2014)
Eduardo Rodriguez-Martinez, Tingting Mu, John Yannis Goulermas
Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection. IEEE Trans. Cybern. 44 (12) (2014)
Tingting Mu, Makoto Miwa, Junichi Tsujii, Sophia Ananiadou
Discovering robust Embeddings in (DIS)Similarity Space for High-Dimensional Linguistic Features. Comput. Intell. 30 (2) (2014)
Eduardo Rodriguez-Martinez, Tingting Mu, Jianmin Jiang, John Yannis Goulermas
Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding. IEEE Trans. Neural Networks Learn. Syst. 24 (10) (2013)
Tingting Mu, John Yannis Goulermas
Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping. IEEE Trans. Pattern Anal. Mach. Intell. 35 (10) (2013)
Tingting Mu, Jianmin Jiang, Yan Wang
Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via Regression Analysis. IEEE Trans. Intell. Transp. Syst. 14 (1) (2013)
Yan Wang, Jianmin Jiang, Tingting Mu
Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing. IEEE Trans. Intell. Transp. Syst. 14 (3) (2013)
Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas
Adaptive Data Embedding Framework for Multiclass Classification. IEEE Trans. Neural Networks Learn. Syst. 23 (8) (2012)
Ioannis Korkontzelos, Tingting Mu, Sophia Ananiadou
ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials. BMC Medical Informatics Decis. Mak. 12 (S-1) (2012)
Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou
Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data. IEEE Trans. Pattern Anal. Mach. Intell. 34 (11) (2012)
Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
Towards collaborative feature extraction for face recognition. Nat. Comput. 11 (3) (2012)
Enrique Romero, Tingting Mu, Paulo J. G. Lisboa
Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. 45 (4) (2012)
Tingting Mu, Todd C. Pataky, Andrew H. Findlow, Min S. H. Aung, John Yannis Goulermas
Automated nonlinear feature generation and classification of foot pressure lesions. IEEE Trans. Inf. Technol. Biomed. 14 (2) (2010)
Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa
Cohort-based kernel visualisation with scatter matrices. IJCNN (2010)
Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
Collaborative projection pursuit for face recognition. BIC-TA (2010)
Tingting Mu, Sophia Ananiadou
Proximity-based Graph Embeddings for Multi-label Classification. KDIR (2010)
Tingting Mu, Xinglong Wang, Jun'ichi Tsujii, Sophia Ananiadou
Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation. COLING (Posters) (2010)
Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph
Automatic induction of projection pursuit indices. IEEE Trans. Neural Networks 21 (8) (2010)
Tingting Mu, Asoke K. Nandi
-SVM parameters employing the extended Kalman filter. Expert Syst. J. Knowl. Eng. 26 (2) (2009)
Tingting Mu, Asoke K. Nandi
Multiclass Classification Based on Extended Support Vector Data Description. IEEE Trans. Syst. Man Cybern. Part B 39 (5) (2009)
Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers. J. Digit. Imaging 21 (2) (2008)
Tingting Mu, Asoke K. Nandi
Breast Cancer Diagnosis and Prognosis using Different Kernel-Based Classifiers. BIOSIGNALS (2) (2008)
Tingting Mu, Asoke K. Nandi
Breast cancer diagnosis from fine-needle aspiration using supervised compact hyperspheres and establishment of confidence of malignancy. EUSIPCO (2008)
Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm. Comput. Biol. Medicine 38 (10) (2008)
Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
Classification of breast masses via nonlinear transformation of features based on a kernel matrix. Medical Biol. Eng. Comput. 45 (8) (2007)
Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
Analysis of breast tumors in mammograms using the pairwise Rayleigh quotient classifier. J. Electronic Imaging 16 (4) (2007)
Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms. ICASSP (2) (2007)
Tingting Mu, Asoke K. Nandi
Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier. J. Frankl. Inst. 344 (3-4) (2007)