Tingting Mu - RankMe

106 papers A* 8A 4B 3C 1Journal 74Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Theory of Random Graph Shift in Truncated-Spectrum vRKHS. CoRR Zhang Wan, Tingting Mu, Samuel Kaski
2026	—	`conf`	Evaluation and LLM-Guided Learning of ICD Coding Rationales. EACL (Volume 1: Long Papers) Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic
2025	—	`conf`	4D CardioSynth: Synthesising Dynamic Virtual Heart Populations Through Spatiotemporal Disentanglement. MICCAI (3) Haoran Dou, Jinghan Huang, Arezoo Zakeri, Zherui Zhou, Tingting Mu, Jinming Duan, Alejandro F. Frangi
2025	J	`jnl`	Evaluation and LLM-Guided Learning of ICD Coding Rationales. CoRR Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic
2025	A	`conf`	Group-Agent Reinforcement Learning with Heterogeneous Agents. UAI Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu
2025	J	`jnl`	Group-Agent Reinforcement Learning with Heterogeneous Agents. CoRR Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu
2025	A*	`conf`	Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters. CVPR Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He
2025	J	`jnl`	Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs. CoRR Mingyang Li, Viktor Schlegel, Tingting Mu, Warren Del-Pinto, Goran Nenadic
2024	B	`conf`	Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning. IJCNN Xia Cui, Terry Hanley, Muj Choudhury, Tingting Mu
2024	J	`jnl`	Iterative Semantic Transformer by Greedy Distillation for Community Question Answering. IEEE ACM Trans. Audio Speech Lang. Process. Jinmeng Wu, Tingting Mu, Jeyarajan Thiyagalingam, Hanyu Hong, Yanbin Hao, Tianxu Zhang, John Yannis Goulermas
2024	A*	`conf`	LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field. ACM Multimedia Jiyang Li, Lechao Cheng, Zhangye Wang, Tingting Mu, Jingxuan He
2024	J	`jnl`	LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field. CoRR Jiyang Li, Lechao Cheng, Zhangye Wang, Tingting Mu, Jingxuan He
2024	J	`jnl`	Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters. CoRR Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He
2024	A*	`conf`	Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. AAAI Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song
2023	J	`jnl`	A Unified Theory of Diversity in Ensemble Learning. CoRR Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown
2023	J	`jnl`	A Unified Theory of Diversity in Ensemble Learning. J. Mach. Learn. Res. Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown
2023	J	`jnl`	Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance. IEEE Access Huw Rhys Jones, Andrei C. Popescu, Yusuf Sulehman, Tingting Mu
2023	A*	`conf`	Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning. CVPR Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He
2023	J	`jnl`	Bi-directional Distribution Alignment for Transductive Zero-Shot Learning. CoRR Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He
2023	J	`jnl`	Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization. CoRR Yian Deng, Tingting Mu
2023	J	`jnl`	Faster Riemannian Newton-type optimization by subsampling and cubic regularization. Mach. Learn. Yian Deng, Tingting Mu
2023	J	`jnl`	Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. IEEE Trans. Syst. Man Cybern. Syst. Jinmeng Wu, Tingting Mu, Jeyan Thiyagalingam, John Yannis Goulermas
2023	A*	`conf`	Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. NeurIPS Ruiyuan Kang, Tingting Mu, Panagiotis Liatsis, Dimitrios C. Kyritsis
2023	J	`jnl`	Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. CoRR Ruiyuan Kang, Tingting Mu, Panos Liatsis, Dimitrios C. Kyritsis
2023	J	`jnl`	Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation. CoRR Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song
2023	A*	`conf`	Understanding and Improving Ensemble Adversarial Defense. NeurIPS Yian Deng, Tingting Mu
2023	J	`jnl`	Understanding and Improving Ensemble Adversarial Defense. CoRR Yian Deng, Tingting Mu
2022	A	`conf`	Bias-Variance Decompositions for Margin Losses. AISTATS Danny Wood, Tingting Mu, Gavin Brown
2022	J	`jnl`	Bias-Variance Decompositions for Margin Losses. CoRR Danny Wood, Tingting Mu, Gavin Brown
2022	J	`jnl`	Data-driven Approaches to Surrogate Machine Learning Model Development. CoRR Huw Rhys Jones, Tingting Mu, Andrei C. Popescu, Yusuf Sulehman
2022	J	`jnl`	FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization. IEEE Trans. Big Data Weijie Fu, Meng Wang, Shijie Hao, Tingting Mu
2022	J	`jnl`	Guest Editorial: Intelligent information processing and services in media convergence. Int. J. Intell. Syst. Meng Wang, Chi Zhang, Shijie Hao, Jun Yu, Tingting Mu
2022	A*	`conf`	Improved Imaging by Invex Regularizers with Global Optima Guarantees. NeurIPS Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam
2022	J	`jnl`	Improving Image Similarity Learning by Adding External Memory. IEEE Trans. Knowl. Data Eng. Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jingkuan Song, Meng Wang
2022	J	`jnl`	Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP. CoRR Zhicai Wang, Yanbin Hao, Xingyu Gao, Hao Zhang, Shuo Wang, Tingting Mu, Xiangnan He
2022	A*	`conf`	Parameterization of Cross-token Relations with Relative Positional Encoding for Vision MLP. ACM Multimedia Zhicai Wang, Yanbin Hao, Xingyu Gao, Hao Zhang, Shuo Wang, Tingting Mu, Xiangnan He
2021	A	`conf`	Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features. Interspeech Xia Cui, Amila Gamage, Terry Hanley, Tingting Mu
2021	J	`jnl`	Introduction to Big Multimodal Multimedia Data with Deep Analytics. ACM Trans. Multim. Comput. Commun. Appl. Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao
2021	—	`conf`	Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. MLSMKG@PKDD/ECML Mirantha Jayathilaka, Tingting Mu, Uli Sattler
2021	J	`jnl`	Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. CoRR Mirantha Jayathilaka, Tingting Mu, Uli Sattler
2021	C	`conf`	Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings. ICMLA Mirantha Jayathilaka, Tingting Mu, Uli Sattler
2020	J	`jnl`	An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts. IEEE Trans. Image Process. Xinjian Gao, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam, Meng Wang
2020	J	`jnl`	Big Cross-Modal Social Media Data Analytics With Deep Intelligence. IEEE Multim. Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao
2020	J	`jnl`	Building interactive sentence-aware representation based on generative language model for community question answering. Neurocomputing Jinmeng Wu, Tingting Mu, Jeyarajan Thiyagalingam, John Yannis Goulermas
2020	J	`jnl`	Circular object arrangement using spherical embeddings. Pattern Recognit. Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
2020	J	`jnl`	Cross-Domain Sentiment Encoding through Stochastic Word Embedding. IEEE Trans. Knowl. Data Eng. Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Xueliang Liu, John Yannis Goulermas
2020	J	`jnl`	Self-attention driven adversarial similarity learning network. Pattern Recognit. Xinjian Gao, Zhao Zhang, Tingting Mu, Xudong Zhang, Chaoran Cui, Meng Wang
2020	—	`conf`	Visual-Semantic Embedding Model Informed by Structured Knowledge. STAIRS@ECAI Mirantha Jayathilaka, Tingting Mu, Uli Sattler
2020	J	`jnl`	Visual-Semantic Embedding Model Informed by Structured Knowledge. CoRR Mirantha Jayathilaka, Tingting Mu, Uli Sattler
2020	J	`jnl`	Zero-Shot Human-Object Interaction Recognition via Affordance Graphs. CoRR Alessio Sarullo, Tingting Mu
2019	J	`jnl`	Continuation methods for approximate large scale object sequencing. Mach. Learn. Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
2019	J	`jnl`	Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning. Sensors Haoxin Ma, Zhiwen Qian, Tingting Mu, Shengxian Shi
2019	—	`conf`	Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. NAACL-HLT (1) Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou
2019	J	`jnl`	Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. CoRR Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou
2019	B	`conf`	On Class Imbalance and Background Filtering in Visual Relationship Detection. IJCNN Alessio Sarullo, Tingting Mu
2019	J	`jnl`	On Class Imbalance and Background Filtering in Visual Relationship Detection. CoRR Alessio Sarullo, Tingting Mu
2018	J	`jnl`	Attention driven multi-modal similarity learning. Inf. Sci. Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang
2018	J	`jnl`	Data Visualization with Structural Control of Global Cohort and Local Data Neighborhoods. IEEE Trans. Pattern Anal. Mach. Intell. Tingting Mu, John Yannis Goulermas, Sophia Ananiadou
2018	J	`jnl`	Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing Liyun Gong, Tingting Mu, Meng Wang, Hengchang Liu, John Yannis Goulermas
2018	—	`conf`	Modular Dimensionality Reduction. ECML/PKDD (1) Henry W. J. Reeve, Tingting Mu, Gavin Brown
2018	—	`conf`	Question Answering Mediated by Visual Clues and Knowledge Graphs. WWW (Companion Volume) Fabrício Firmino de Faria, Ricardo Usbeck, Alessio Sarullo, Tingting Mu, André Freitas
2018	J	`jnl`	Self-Tuned Descriptive Document Clustering Using a Predictive Network. IEEE Trans. Knowl. Data Eng. Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas
2018	J	`jnl`	Topic driven multimodal similarity learning with multi-view voted convolutional features. Pattern Recognit. Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang
2018	J	`jnl`	VommaNet: an End-to-End Network for Disparity Estimation from Reflective and Texture-less Light Field Images. CoRR Haoxin Ma, Haotian Li, Zhiwen Qian, Shengxian Shi, Tingting Mu
2017	A	`conf`	A Graduated Non-Convexity Relaxation for Large Scale Seriation. SDM Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas
2017	J	`jnl`	A semi-supervised approach using label propagation to support citation screening. J. Biomed. Informatics Georgios Kontonatsios, Austin J. Brockmeier, Piotr Przybyla, John McNaught, Tingting Mu, John Yannis Goulermas, Sophia Ananiadou
2017	J	`jnl`	Computation of heterogeneous object co-embeddings from relational measurements. Pattern Recognit. Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas
2017	—	`conf`	Distributed Document and Phrase Co-embeddings for Descriptive Clustering. EACL (1) Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou
2017	J	`jnl`	Quantifying the Informativeness of Similarity Measurements. J. Mach. Learn. Res. Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas
2017	J	`jnl`	Stochastic Multiview Hashing for Large-Scale Near-Duplicate Video Retrieval. IEEE Trans. Multim. Yanbin Hao, Tingting Mu, Richang Hong, Meng Wang, Ning An, John Yannis Goulermas
2017	J	`jnl`	Translating on pairwise entity space for knowledge graph embedding. Neurocomputing Yu Wu, Tingting Mu, John Yannis Goulermas
2017	J	`jnl`	Unsupervised t-Distributed Video Hashing and Its Deep Hashing Extension. IEEE Trans. Image Process. Yanbin Hao, Tingting Mu, John Yannis Goulermas, Jianguo Jiang, Richang Hong, Meng Wang
2016	J	`jnl`	A New Measure for Analyzing and Fusing Sequences of Objects. IEEE Trans. Pattern Anal. Mach. Intell. John Yannis Goulermas, Alexandros Kostopoulos, Tingting Mu
2016	J	`jnl`	Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. Danushka Bollegala, Tingting Mu, John Yannis Goulermas
2016	J	`jnl`	Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities. J. Assoc. Inf. Sci. Technol. Tingting Mu, John Yannis Goulermas, Ioannis Korkontzelos, Sophia Ananiadou
2016	J	`jnl`	Local voting based multi-view embedding. Neurocomputing Xinjian Gao, Tingting Mu, Meng Wang
2015	—	`conf`	Evolutionary Nonnegative Matrix Factorization for Data Compression. ICIC (1) Liyun Gong, Tingting Mu, John Yannis Goulermas
2015	—	`conf`	Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching. MMM (2) Yisi Zhao, Xueming Qian, Tingting Mu
2014	J	`jnl`	Discovering robust Embeddings in (DIS)Similarity Space for High-Dimensional Linguistic Features. Comput. Intell. Tingting Mu, Makoto Miwa, Junichi Tsujii, Sophia Ananiadou
2014	J	`jnl`	Prototype reduction based on Direct Weighted Pruning. Pattern Recognit. Lett. Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas
2014	J	`jnl`	Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection. IEEE Trans. Cybern. Eduardo Rodríguez-Martínez, Tingting Mu, John Yannis Goulermas
2013	J	`jnl`	Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding. IEEE Trans. Neural Networks Learn. Syst. Eduardo Rodríguez-Martínez, Tingting Mu, Jianmin Jiang, John Yannis Goulermas
2013	J	`jnl`	Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping. IEEE Trans. Pattern Anal. Mach. Intell. Tingting Mu, John Yannis Goulermas
2013	J	`jnl`	Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing. IEEE Trans. Intell. Transp. Syst. Yan Wang, Jianmin Jiang, Tingting Mu
2013	J	`jnl`	Heterogeneous Delay Embedding for Travel Time and Energy Cost Prediction Via Regression Analysis. IEEE Trans. Intell. Transp. Syst. Tingting Mu, Jianmin Jiang, Yan Wang
2012	J	`jnl`	ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials. BMC Medical Informatics Decis. Mak. Ioannis Korkontzelos, Tingting Mu, Sophia Ananiadou
2012	J	`jnl`	Adaptive Data Embedding Framework for Multiclass Classification. IEEE Trans. Neural Networks Learn. Syst. Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas
2012	J	`jnl`	Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. Enrique Romero, Tingting Mu, Paulo J. G. Lisboa
2012	J	`jnl`	Proximity-Based Frameworks for Generating Embeddings from Multi-Output Data. IEEE Trans. Pattern Anal. Mach. Intell. Tingting Mu, John Yannis Goulermas, Jun'ichi Tsujii, Sophia Ananiadou
2012	J	`jnl`	Towards collaborative feature extraction for face recognition. Nat. Comput. Eduardo Rodríguez-Martínez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
2010	J	`jnl`	Automated nonlinear feature generation and classification of foot pressure lesions. IEEE Trans. Inf. Technol. Biomed. Tingting Mu, Todd C. Pataky, Andrew H. Findlow, Min S. H. Aung, John Yannis Goulermas
2010	J	`jnl`	Automatic induction of projection pursuit indices. IEEE Trans. Neural Networks Eduardo Rodríguez-Martínez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph
2010	B	`conf`	Cohort-based kernel visualisation with scatter matrices. IJCNN Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa
2010	—	`conf`	Collaborative projection pursuit for face recognition. BIC-TA Eduardo Rodríguez-Martínez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas
2010	—	`conf`	Imbalanced Classification Using Dictionary-based Prototypes and Hierarchical Decision Rules for Entity Sense Disambiguation. COLING (Posters) Tingting Mu, Xinglong Wang, Jun'ichi Tsujii, Sophia Ananiadou
2010	—	`conf`	Proximity-based Graph Embeddings for Multi-label Classification. KDIR Tingting Mu, Sophia Ananiadou
2009	J	`jnl`	Automatic tuning of Expert Syst. J. Knowl. Eng. Tingting Mu, Asoke K. Nandi
2009	J	`jnl`	Multiclass Classification Based on Extended Support Vector Data Description. IEEE Trans. Syst. Man Cybern. Part B Tingting Mu, Asoke K. Nandi
2008	—	`conf`	Breast Cancer Diagnosis and Prognosis using Different Kernel-Based Classifiers. BIOSIGNALS (2) Tingting Mu, Asoke K. Nandi
2008	—	`conf`	Breast cancer diagnosis from fine-needle aspiration using supervised compact hyperspheres and establishment of confidence of malignancy. EUSIPCO Tingting Mu, Asoke K. Nandi
2008	J	`jnl`	Classification of Breast Masses Using Selected Shape, Edge-sharpness, and Texture Features with Linear and Kernel-based Classifiers. J. Digit. Imaging Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
2008	J	`jnl`	Screening of knee-joint vibroarthrographic signals using the strict 2-surface proximal classifier and genetic algorithm. Comput. Biol. Medicine Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
2007	J	`jnl`	Analysis of breast tumors in mammograms using the pairwise Rayleigh quotient classifier. J. Electronic Imaging Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
2007	J	`jnl`	Breast cancer detection from FNA using SVM with different parameter tuning systems and SOM-RBF classifier. J. Frankl. Inst. Tingting Mu, Asoke K. Nandi
2007	J	`jnl`	Classification of breast masses via nonlinear transformation of features based on a kernel matrix. Medical Biol. Eng. Comput. Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan
2007	—	`conf`	Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms. ICASSP (2) Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan