Tingting Mu

Orcid: 0000-0001-6315-3432

According to our database1, Tingting Mu authored at least 84 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field.
CoRR, 2024

Scalable Lipschitz Estimation for CNNs.
CoRR, 2024

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Faster Riemannian Newton-type optimization by subsampling and cubic regularization.
Mach. Learn., September, 2023

Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

A Unified Theory of Diversity in Ensemble Learning.
CoRR, 2023

Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance.
IEEE Access, 2023

Physics-Driven ML-Based Modelling for Correcting Inverse Estimation.
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.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Image Similarity Learning by Adding External Memory.
IEEE Trans. Knowl. Data Eng., 2022

FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization.
IEEE Trans. Big Data, 2022

Guest Editorial: Intelligent information processing and services in media convergence.
Int. J. Intell. Syst., 2022

Data-driven Approaches to Surrogate Machine Learning Model Development.
CoRR, 2022

Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP.
CoRR, 2022

Improved Imaging by Invex Regularizers with Global Optima Guarantees.
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.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Bias-Variance Decompositions for Margin Losses.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Introduction to Big Multimodal Multimedia Data with Deep Analytics.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification.
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.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Cross-Domain Sentiment Encoding through Stochastic Word Embedding.
IEEE Trans. Knowl. Data Eng., 2020

An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts.
IEEE Trans. Image Process., 2020

Self-attention driven adversarial similarity learning network.
Pattern Recognit., 2020

Circular object arrangement using spherical embeddings.
Pattern Recognit., 2020

Building interactive sentence-aware representation based on generative language model for community question answering.
Neurocomputing, 2020

Big Cross-Modal Social Media Data Analytics With Deep Intelligence.
IEEE Multim., 2020

Zero-Shot Human-Object Interaction Recognition via Affordance Graphs.
CoRR, 2020

Visual-Semantic Embedding Model Informed by Structured Knowledge.
Proceedings of the 9th European Starting AI Researchers' Symposium 2020 co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning.
Sensors, 2019

Continuation methods for approximate large scale object sequencing.
Mach. Learn., 2019

Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks.
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.
Proceedings of the International Joint Conference on Neural Networks, 2019

Self-Tuned Descriptive Document Clustering Using a Predictive Network.
IEEE Trans. Knowl. Data Eng., 2018

Topic driven multimodal similarity learning with multi-view voted convolutional features.
Pattern Recognit., 2018

Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Attention driven multi-modal similarity learning.
Inf. Sci., 2018

Evolutionary nonnegative matrix factorization with adaptive control of cluster quality.
Neurocomputing, 2018

VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images.
CoRR, 2018

Question Answering Mediated by Visual Clues and Knowledge Graphs.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Modular Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval.
IEEE Trans. Multim., 2017

Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension.
IEEE Trans. Image Process., 2017

Computation of heterogeneous object co-embeddings from relational measurements.
Pattern Recognit., 2017

Quantifying the Informativeness of Similarity Measurements.
J. Mach. Learn. Res., 2017

A semi-supervised approach using label propagation to support citation screening.
J. Biomed. Informatics, 2017

Translating on pairwise entity space for knowledge graph embedding.
Neurocomputing, 2017

A Graduated Non-Convexity Relaxation for Large Scale Seriation.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Distributed Document and Phrase Co-embeddings for Descriptive Clustering.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings.
IEEE Trans. Knowl. Data Eng., 2016

A New Measure for Analyzing and Fusing Sequences of Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities.
J. Assoc. Inf. Sci. Technol., 2016

Local voting based multi-view embedding.
Neurocomputing, 2016

Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Evolutionary Nonnegative Matrix Factorization for Data Compression.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection.
IEEE Trans. Cybern., 2014

Prototype reduction based on Direct Weighted Pruning.
Pattern Recognit. Lett., 2014

Discovering robust Embeddings in (DIS)Similarity Space for High-Dimensional Linguistic Features.
Comput. Intell., 2014

Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding.
IEEE Trans. Neural Networks Learn. Syst., 2013

Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing.
IEEE Trans. Intell. Transp. Syst., 2013

Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via Regression Analysis.
IEEE Trans. Intell. Transp. Syst., 2013

Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Adaptive Data Embedding Framework for Multiclass Classification.
IEEE Trans. Neural Networks Learn. Syst., 2012

Cohort-based kernel visualisation with scatter matrices.
Pattern Recognit., 2012

Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Towards collaborative feature extraction for face recognition.
Nat. Comput., 2012

ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials.
BMC Medical Informatics Decis. Mak., 2012

Automatic induction of projection pursuit indices.
IEEE Trans. Neural Networks, 2010

Automated nonlinear feature generation and classification of foot pressure lesions.
IEEE Trans. Inf. Technol. Biomed., 2010

Cohort-based kernel visualisation with scatter matrices.
Proceedings of the International Joint Conference on Neural Networks, 2010

Proximity-based Graph Embeddings for Multi-label Classification.
Proceedings of the KDIR 2010, 2010

Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation.
Proceedings of the COLING 2010, 2010

Collaborative projection pursuit for face recognition.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Multiclass Classification Based on Extended Support Vector Data Description.
IEEE Trans. Syst. Man Cybern. Part B, 2009

Automatic tuning of <i>L</i><sub>2</sub>-SVM parameters employing the extended Kalman filter.
Expert Syst. J. Knowl. Eng., 2009

Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers.
J. Digit. Imaging, 2008

Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm.
Comput. Biol. Medicine, 2008

Breast cancer diagnosis from fine-needle aspiration using supervised compact hyperspheres and establishment of confidence of malignancy.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Breast Cancer Diagnosis and Prognosis using Different Kernel-Based Classifiers.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

Classification of breast masses via nonlinear transformation of features based on a kernel matrix.
Medical Biol. Eng. Comput., 2007

Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier.
J. Frankl. Inst., 2007

Analysis of breast tumors in mammograms using the pairwise Rayleigh quotient classifier.
J. Electronic Imaging, 2007

Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms.
Proceedings of the IEEE International Conference on Acoustics, 2007