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2020 – today
- 2024
[j53]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: 3576-3588 (2024)- [c27]Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song:
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. AAAI 2024: 2085-2093 - [c26]Xia Cui, Terry Hanley, Muj Choudhury, Tingting Mu:
Data-Driven or Dataless? Detecting Indicators of Mental Health Difficulties and Negative Life Events in Financial Resilience Using Prompt-Based Learning. IJCNN 2024: 1-8 - [i16]Jiyang Li, Lechao Cheng, Zhangye Wang, Tingting Mu, Jingxuan He:
LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field. CoRR abs/2404.08966 (2024) - 2023
- [j52]Huw Rhys Jones, Andrei C. Popescu, Yusuf Sulehman, Tingting Mu:
Adapting Data-Driven Techniques to Improve Surrogate Machine Learning Model Performance. IEEE Access 11: 23909-23925 (2023) - [j51]Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown:
A Unified Theory of Diversity in Ensemble Learning. J. Mach. Learn. Res. 24: 359:1-359:49 (2023) - [j50]Yian Deng, Tingting Mu:
Faster Riemannian Newton-type optimization by subsampling and cubic regularization. Mach. Learn. 112(9): 3527-3589 (2023) - [j49]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): 3930-3943 (2023) - [c25]Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He:
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning. CVPR 2023: 19893-19902 - [c24]Yian Deng, Tingting Mu:
Understanding and Improving Ensemble Adversarial Defense. NeurIPS 2023 - [c23]Ruiyuan Kang, Tingting Mu, Panagiotis Liatsis, Dimitrios C. Kyritsis:
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. NeurIPS 2023 - [i15]Danny Wood, Tingting Mu, Andrew M. Webb, Henry W. J. Reeve, Mikel Luján, Gavin Brown:
A Unified Theory of Diversity in Ensemble Learning. CoRR abs/2301.03962 (2023) - [i14]Yian Deng, Tingting Mu:
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization. CoRR abs/2302.11076 (2023) - [i13]Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He:
Bi-directional Distribution Alignment for Transductive Zero-Shot Learning. CoRR abs/2303.08698 (2023) - [i12]Ruiyuan Kang, Tingting Mu, Panos Liatsis, Dimitrios C. Kyritsis:
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation. CoRR abs/2309.13985 (2023) - [i11]Yian Deng, Tingting Mu:
Understanding and Improving Ensemble Adversarial Defense. CoRR abs/2310.18477 (2023) - [i10]Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song:
Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation. CoRR abs/2312.08916 (2023) - 2022
- [j48]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): 2931-2933 (2022) - [j47]Weijie Fu, Meng Wang, Shijie Hao, Tingting Mu:
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization. IEEE Trans. Big Data 8(3): 579-591 (2022) - [j46]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): 4874-4887 (2022) - [c22]Danny Wood, Tingting Mu, Gavin Brown:
Bias-Variance Decompositions for Margin Losses. AISTATS 2022: 1975-2001 - [c21]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: 6288-6299 - [c20]Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam:
Improved Imaging by Invex Regularizers with Global Optima Guarantees. NeurIPS 2022 - [i9]Danny Wood, Tingting Mu, Gavin Brown:
Bias-Variance Decompositions for Margin Losses. CoRR abs/2204.12155 (2022) - [i8]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 abs/2207.07284 (2022) - [i7]Huw Rhys Jones, Tingting Mu, Andrei C. Popescu, Yusuf Sulehman:
Data-driven Approaches to Surrogate Machine Learning Model Development. CoRR abs/2210.02631 (2022) - 2021
- [j45]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): 1:1-1:3 (2021) - [c19]Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Towards Knowledge-aware Few-shot Learning with Ontology-based n-ball Concept Embeddings. ICMLA 2021: 292-297 - [c18]Xia Cui, Amila Gamage, Terry Hanley, Tingting Mu:
Identifying Indicators of Vulnerability from Short Speech Segments Using Acoustic and Textual Features. Interspeech 2021: 1569-1573 - [c17]Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. MLSMKG@PKDD/ECML 2021 - [i6]Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. CoRR abs/2109.09063 (2021) - 2020
- [j44]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): 6-8 (2020) - [j43]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: 93-107 (2020) - [j42]Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas:
Circular object arrangement using spherical embeddings. Pattern Recognit. 103: 107192 (2020) - [j41]Xinjian Gao, Zhao Zhang, Tingting Mu, Xudong Zhang, Chaoran Cui, Meng Wang:
Self-attention driven adversarial similarity learning network. Pattern Recognit. 105: 107331 (2020) - [j40]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: 3911-3926 (2020) - [j39]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): 1909-1922 (2020) - [c16]Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Visual-Semantic Embedding Model Informed by Structured Knowledge. STAIRS@ECAI 2020 - [i5]Alessio Sarullo, Tingting Mu:
Zero-Shot Human-Object Interaction Recognition via Affordance Graphs. CoRR abs/2009.01039 (2020) - [i4]Mirantha Jayathilaka, Tingting Mu, Uli Sattler:
Visual-Semantic Embedding Model Informed by Structured Knowledge. CoRR abs/2009.10026 (2020)
2010 – 2019
- 2019
- [j38]Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas:
Continuation methods for approximate large scale object sequencing. Mach. Learn. 108(4): 595-626 (2019) - [j37]Haoxin Ma, Zhiwen Qian, Tingting Mu, Shengxian Shi:
Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning. Sensors 19(20): 4399 (2019) - [c15]Alessio Sarullo, Tingting Mu:
On Class Imbalance and Background Filtering in Visual Relationship Detection. IJCNN 2019: 1-8 - [c14]Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou:
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. NAACL-HLT (1) 2019: 2873-2883 - [i3]Alessio Sarullo, Tingting Mu:
On Class Imbalance and Background Filtering in Visual Relationship Detection. CoRR abs/1903.08456 (2019) - [i2]Maolin Li, Arvid Fahlström Myrman, Tingting Mu, Sophia Ananiadou:
Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks. CoRR abs/1905.04981 (2019) - 2018
- [j36]Liyun Gong, Tingting Mu, Meng Wang, Hengchang Liu, John Yannis Goulermas:
Evolutionary nonnegative matrix factorization with adaptive control of cluster quality. Neurocomputing 272: 237-249 (2018) - [j35]Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang:
Attention driven multi-modal similarity learning. Inf. Sci. 432: 530-542 (2018) - [j34]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): 1323-1337 (2018) - [j33]Xinjian Gao, Tingting Mu, John Yannis Goulermas, Meng Wang:
Topic driven multimodal similarity learning with multi-view voted convolutional features. Pattern Recognit. 75: 223-234 (2018) - [j32]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): 1929-1942 (2018) - [c13]Henry W. J. Reeve, Tingting Mu, Gavin Brown:
Modular Dimensionality Reduction. ECML/PKDD (1) 2018: 605-619 - [c12]Fabrício Firmino de Faria, Ricardo Usbeck, Alessio Sarullo, Tingting Mu, André Freitas:
Question Answering Mediated by Visual Clues and Knowledge Graphs. WWW (Companion Volume) 2018: 1937-1939 - [i1]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 abs/1811.07124 (2018) - 2017
- [j31]Yu Wu, Tingting Mu, John Yannis Goulermas:
Translating on pairwise entity space for knowledge graph embedding. Neurocomputing 260: 411-419 (2017) - [j30]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: 67-76 (2017) - [j29]Austin J. Brockmeier, Tingting Mu, Sophia Ananiadou, John Yannis Goulermas:
Quantifying the Informativeness of Similarity Measurements. J. Mach. Learn. Res. 18: 76:1-76:61 (2017) - [j28]Yu Wu, Tingting Mu, Panos Liatsis, John Yannis Goulermas:
Computation of heterogeneous object co-embeddings from relational measurements. Pattern Recognit. 65: 146-163 (2017) - [j27]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): 5531-5544 (2017) - [j26]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): 1-14 (2017) - [c11]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: 991-1001 - [c10]Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas:
A Graduated Non-Convexity Relaxation for Large Scale Seriation. SDM 2017: 462-470 - 2016
- [j25]Xinjian Gao, Tingting Mu, Meng Wang:
Local voting based multi-view embedding. Neurocomputing 171: 901-909 (2016) - [j24]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): 106-133 (2016) - [j23]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): 833-848 (2016) - [j22]Danushka Bollegala, Tingting Mu, John Yannis Goulermas:
Cross-Domain Sentiment Classification Using Sentiment Sensitive Embeddings. IEEE Trans. Knowl. Data Eng. 28(2): 398-410 (2016) - 2015
- [c9]Liyun Gong, Tingting Mu, John Yannis Goulermas:
Evolutionary Nonnegative Matrix Factorization for Data Compression. ICIC (1) 2015: 23-33 - [c8]Yisi Zhao, Xueming Qian, Tingting Mu:
Image Taken Place Estimation via Geometric Constrained Spatial Layer Matching. MMM (2) 2015: 436-446 - 2014
- [j21]Tingting Mu, Makoto Miwa, Junichi Tsujii, Sophia Ananiadou:
Discovering robust Embeddings in (DIS)Similarity Space for High-Dimensional Linguistic Features. Comput. Intell. 30(2): 285-315 (2014) - [j20]Konstantinos Nikolaidis, Tingting Mu, John Yannis Goulermas:
Prototype reduction based on Direct Weighted Pruning. Pattern Recognit. Lett. 36: 22-28 (2014) - [j19]Eduardo Rodriguez-Martinez, Tingting Mu, John Yannis Goulermas:
Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection. IEEE Trans. Cybern. 44(12): 2458-2469 (2014) - 2013
- [j18]Tingting Mu, John Yannis Goulermas:
Automatic Generation of Co-Embeddings from Relational Data with Adaptive Shaping. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2340-2356 (2013) - [j17]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): 214-224 (2013) - [j16]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): 1331-1345 (2013) - [j15]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): 1575-1587 (2013) - 2012
- [j14]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): S3 (2012) - [j13]Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas:
Towards collaborative feature extraction for face recognition. Nat. Comput. 11(3): 395-404 (2012) - [j12]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): 2216-2232 (2012) - [j11]Enrique Romero, Tingting Mu, Paulo J. G. Lisboa:
Cohort-based kernel visualisation with scatter matrices. Pattern Recognit. 45(4): 1436-1454 (2012) - [j10]Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas:
Adaptive Data Embedding Framework for Multiclass Classification. IEEE Trans. Neural Networks Learn. Syst. 23(8): 1291-1303 (2012) - 2010
- [j9]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): 418-424 (2010) - [j8]Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph:
Automatic induction of projection pursuit indices. IEEE Trans. Neural Networks 21(8): 1281-1295 (2010) - [c7]Eduardo Rodriguez-Martinez, Konstantinos Nikolaidis, Tingting Mu, Jason F. Ralph, John Yannis Goulermas:
Collaborative projection pursuit for face recognition. BIC-TA 2010: 1346-1350 - [c6]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: 851-859 - [c5]Tingting Mu, Sophia Ananiadou:
Proximity-based Graph Embeddings for Multi-label Classification. KDIR 2010: 74-84 - [c4]Enrique Romero, Ana Sofia Fernandes, Tingting Mu, Paulo J. G. Lisboa:
Cohort-based kernel visualisation with scatter matrices. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j7]Tingting Mu, Asoke K. Nandi:
Automatic tuning of L2-SVM parameters employing the extended Kalman filter. Expert Syst. J. Knowl. Eng. 26(2): 160-175 (2009) - [j6]Tingting Mu, Asoke K. Nandi:
Multiclass Classification Based on Extended Support Vector Data Description. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1206-1216 (2009) - 2008
- [j5]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): 1103-1111 (2008) - [j4]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): 153-169 (2008) - [c3]Tingting Mu, Asoke K. Nandi:
Breast Cancer Diagnosis and Prognosis using Different Kernel-Based Classifiers. BIOSIGNALS (2) 2008: 342-348 - [c2]Tingting Mu, Asoke K. Nandi:
Breast cancer diagnosis from fine-needle aspiration using supervised compact hyperspheres and establishment of confidence of malignancy. EUSIPCO 2008: 1-5 - 2007
- [j3]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): 043004 (2007) - [j2]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): 285-311 (2007) - [j1]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): 769-780 (2007) - [c1]Tingting Mu, Asoke K. Nandi, Rangaraj M. Rangayyan:
Strict 2-Surface Proximal Classifier with Application to Breast Cancer Detection in Mammograms. ICASSP (2) 2007: 477-480
Coauthor Index
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