| 2026 | AAAI | AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research. | Alexandru-Mihai Apostu, Andrei Preda, Alexandra Daniela Damir, Diana Bolocan, Radu Tudor Ionescu, Ioana Croitoru, Mihaela Gaman |
| 2026 | ACL | CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning. | Alexandra Dragomir, Florin Brad, Radu Tudor Ionescu |
| 2026 | EACL | XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark. | Ioan-Paul Ciobanu, Andrei Iulian Hji, Nicolae-Catalin Ristea, Paul Irofti, Cristian Rusu, Radu Tudor Ionescu |
| 2026 | EACL | Text Classification Under Class Distribution Shift: A Survey. | Adriana Valentina Costache, Silviu Florin Gheorghe, Eduard Gabriel Poesina, Paul Irofti, Radu Tudor Ionescu |
| 2026 | ICPR | Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study. | Carla Crivoi, Radu Tudor Ionescu |
| 2026 | WACV | ExDDV: A New Dataset for Explainable Deepfake Detection in Video. | Vlad Hondru, Eduard Hogea, Darian M. Onchis, Radu Tudor Ionescu |
| 2025 | ACL | Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text. | Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu |
| 2025 | CBMI | GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation. | Hugo Carlesso, Maria Eliza Patulea, Moncef Garouani, Radu Tudor Ionescu, Josiane Mothe |
| 2025 | CVPR | Curriculum Direct Preference Optimization for Diffusion and Consistency Models. | Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Nicu Sebe, Mubarak Shah |
| 2025 | CVPR | RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety. | Andrei Dumitriu, Florin Tatui, Florin Miron, Aakash Ralhan, Radu Tudor Ionescu, Radu Timofte |
| 2025 | CVPR | PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction. | Eduard Gabriel Poesina, Adriana Valentina Costache, Adrian-Gabriel Chifu, Josiane Mothe, Radu Tudor Ionescu |
| 2025 | ICCV | AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report. | Andrei Dumitriu, Florin Miron, Florin Tatui, Radu Tudor Ionescu, Radu Timofte, Aakash Ralhan, Florin-Alexandru Vasluianu, Shenyang Qian, Mitchell Harley, Imran Razzak, Yang Song, Pu Luo, Yumei Li, Cong Xu, Jinming Chai, Kexin Zhang, Licheng Jiao, Lingling Li, Siqi Yu, Chao Zhang, Kehuan Song, Fang Liu, Puhua Chen, Xu Liu, Jin Hu, Jinyang Xu, Biao Liu |
| 2025 | ICTAI | Every Character Counts: From Vulnerability to Defense in Phishing Detection. | Maria Chiper, Radu Tudor Ionescu |
| 2025 | WACV | Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers. | Diana-Nicoleta Grigore, Mariana-Iuliana Georgescu, Jon lvarez Justo, Tor Arne Johansen, Andreea Iuliana Ionescu, Radu Tudor Ionescu |
| 2025 | WACV | Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets. | Adrian Iordache, Bogdan Alexe, Radu Tudor Ionescu |
| 2025 | WACV | DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-Id. | Nyle Siddiqui, Florinel-Alin Croitoru, Gaurav Kumar Nayak, Radu Tudor Ionescu, Mubarak Shah |
| 2024 | ACL | A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus. | Eduard Gabriel Poesina, Cornelia Caragea, Radu Tudor Ionescu |
| 2024 | CVPR | Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors. | Nicolae-Catalin Ristea, Florinel-Alin Croitoru, Radu Tudor Ionescu, Marius Popescu, Fahad Shahbaz Khan, Mubarak Shah |
| 2024 | ECAI | CBM: Curriculum by Masking. | Andrei Jarca, Florinel-Alin Croitoru, Radu Tudor Ionescu |
| 2024 | ICAART | Class Anchor Margin Loss for Content-Based Image Retrieval. | Alexandru Ghita, Radu Tudor Ionescu |
| 2024 | ICPR | Active Self-paced Knowledge Distillation and Diffusion-Based Generation for Few-Call Model Stealing. | Vlad Hondru, Radu Tudor Ionescu |
| 2024 | ICPR | Learning Using Generated Privileged Information by Text-to-Image Diffusion Models. | Rafael-Edy Menadil, Mariana-Iuliana Georgescu, Radu Tudor Ionescu |
| 2024 | ICPR | PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts. | Ana-Cristina Rogoz, Maria Ilinca Nechita, Radu Tudor Ionescu |
| 2024 | NAACL | RoDia: A New Dataset for Romanian Dialect Identification from Speech. | Rotaru Codrut, Nicolae-Catalin Ristea, Radu Tudor Ionescu |
| 2024 | PAKDD | A New Loss for Image Retrieval: Class Anchor Margin. | Alexandru Ghita, Radu Tudor Ionescu |
| 2024 | WACV | CL-MAE: Curriculum-Learned Masked Autoencoders. | Neelu Madan, Nicolae-Catalin Ristea, Kamal Nasrollahi, Thomas B. Moeslund, Radu Tudor Ionescu |
| 2023 | CVPR | Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results. | Andrei Dumitriu, Florin Tatui, Florin Miron, Radu Tudor Ionescu, Radu Timofte |
| 2023 | EMNLP | A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles. | Daria-Mihaela Broscoteanu, Radu Tudor Ionescu |
| 2023 | ICCV | Audiovisual Masked Autoencoders. | Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab |
| 2023 | KES | FreCDo: A Large Corpus for French Cross-Domain Dialect Identification. | Mihaela Gaman, Adrian-Gabriel Chifu, William Domingues, Radu Tudor Ionescu |
| 2023 | SAC | Diversity-Promoting Ensemble for Medical Image Segmentation. | Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron |
| 2023 | SIGIR | iQPP: A Benchmark for Image Query Performance Prediction. | Eduard Gabriel Poesina, Radu Tudor Ionescu, Josiane Mothe |
| 2023 | WACV | Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution. | Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan |
| 2022 | CVPR | UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. | Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah |
| 2022 | CVPR | Discriminability-enforcing loss to improve representation learning. | Florinel-Alin Croitoru, Diana-Nicoleta Grigore, Radu Tudor Ionescu |
| 2022 | CVPR | Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. | Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah |
| 2022 | ECCV | Self-paced Learning to Improve Text Row Detection in Historical Documents with Missing Labels. | Mihaela Gaman, Lida Ghadamiyan, Radu Tudor Ionescu, Marius Popescu |
| 2022 | ECCV | Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine Transformations. | Adrian Sandru, Mariana-Iuliana Georgescu, Radu Tudor Ionescu |
| 2022 | EMNLP | Rethinking the Authorship Verification Experimental Setups. | Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu |
| 2022 | Interspeech | SepTr: Separable Transformer for Audio Spectrogram Processing. | Nicolae-Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan |
| 2021 | ACL | SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles. | Ana-Cristina Rogoz, Mihaela Gaman, Radu Tudor Ionescu |
| 2021 | CVPR | Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. | Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah |
| 2021 | CVPR | Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks. | Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu, Yonina C. Eldar |
| 2021 | EACL | Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa - A Large Romanian Sentiment Data Set. | Anca Maria Tache, Mihaela Gaman, Radu Tudor Ionescu |
| 2021 | ICIP | Unsupervised Medical Image Alignment With Curriculum Learning. | Mihail Burduja, Radu Tudor Ionescu |
| 2021 | IJCNN | FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection. | Radu Tudor Ionescu, Adrian-Gabriel Chifu |
| 2021 | Interspeech | Self-Paced Ensemble Learning for Speech and Audio Classification. | Nicolae-Catalin Ristea, Radu Tudor Ionescu |
| 2021 | SAC | Natural vs balanced distribution in deep learning on whole slide images for cancer detection. | Ismat Ara Reshma, Sylvain Cussat-Blanc, Radu Tudor Ionescu, Herv Luga, Josiane Mothe |
| 2021 | WACV | SuPEr - SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. | Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu |
| 2020 | ACNS | A Breach into the Authentication with Built-in Camera (ABC) Protocol. | Cezara Benegui, Radu Tudor Ionescu |
| 2020 | ICONIP | Adversarial Attacks on Deep Learning Systems for User Identification Based on Motion Sensors. | Cezara Benegui, Radu Tudor Ionescu |
| 2020 | ICONIP | To Augment or Not to Augment? Data Augmentation in User Identification Based on Motion Sensors. | Cezara Benegui, Radu Tudor Ionescu |
| 2020 | ICPR | Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion. | Mariana-Iuliana Georgescu, Radu Tudor Ionescu |
| 2020 | Interspeech | Are you Wearing a Mask? Improving Mask Detection from Speech Using Augmentation by Cycle-Consistent GANs. | Nicolae-Catalin Ristea, Radu Tudor Ionescu |
| 2020 | VTC | Fully Convolutional Neural Networks for Automotive Radar Interference Mitigation. | Nicolae-Catalin Ristea, Andrei Anghel, Radu Tudor Ionescu |
| 2020 | SAC | Forward and backward feature selection for query performance prediction. | Sbastien Djean, Radu Tudor Ionescu, Josiane Mothe, Md. Zia Ullah |
| 2020 | WACV | Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN). | Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu, Marius Leordeanu |
| 2019 | ACL | MOROCO: The Moldavian and Romanian Dialectal Corpus. | Andrei M. Butnaru, Radu Tudor Ionescu |
| 2019 | CVPR | Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video. | Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, Ling Shao |
| 2019 | ICIP | Clustering Images by Unmasking - A New Baseline. | Mariana-Iuliana Georgescu, Radu Tudor Ionescu |
| 2019 | ICONIP | Recognizing Facial Expressions of Occluded Faces Using Convolutional Neural Networks. | Mariana-Iuliana Georgescu, Radu Tudor Ionescu |
| 2019 | NAACL | Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation. | Radu Tudor Ionescu, Andrei M. Butnaru |
| 2019 | WACV | Detecting Abnormal Events in Video Using Narrowed Normality Clusters. | Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe |
| 2018 | ACL | Automated essay scoring with string kernels and word embeddings. | Madalina Cozma, Andrei M. Butnaru, Radu Tudor Ionescu |
| 2018 | ECCV | Frustratingly Easy Trade-off Optimization Between Single-Stage and Two-Stage Deep Object Detectors. | Petru Soviany, Radu Tudor Ionescu |
| 2018 | EMNLP | Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. | Radu Tudor Ionescu, Andrei M. Butnaru |
| 2018 | ICONIP | CocoNet: A Deep Neural Network for Mapping Pixel Coordinates to Color Values. | Paul Andrei Bricman, Radu Tudor Ionescu |
| 2018 | ICONIP | Transductive Learning with String Kernels for Cross-Domain Text Classification. | Radu Tudor Ionescu, Andrei Madalin Butnaru |
| 2018 | ICONIP | Continuous Trade-off Optimization Between Fast and Accurate Deep Face Detectors. | Petru Soviany, Radu Tudor Ionescu |
| 2018 | SYNASC | Optimizing the Trade-Off between Single-Stage and Two-Stage Deep Object Detectors using Image Difficulty Prediction. | Petru Soviany, Radu Tudor Ionescu |
| 2017 | EACL | ShotgunWSD: An unsupervised algorithm for global word sense disambiguation inspired by DNA sequencing. | Andrei M. Butnaru, Radu Tudor Ionescu, Florentina Hristea |
| 2017 | ICCV | Unmasking the Abnormal Events in Video. | Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe, Marius Popescu |
| 2017 | ICIAP | Deep Appearance Features for Abnormal Behavior Detection in Video. | Sorina Smeureanu, Radu Tudor Ionescu, Marius Popescu, Bogdan Alexe |
| 2017 | KES | From Image to Text Classification: A Novel Approach based on Clustering Word Embeddings. | Andrei M. Butnaru, Radu Tudor Ionescu |
| 2017 | KES | HASKER: An efficient algorithm for string kernels. Application to polarity classification in various languages. | Marius Popescu, Cristian Grozea, Radu Tudor Ionescu |
| 2016 | CVPR | How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image. | Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari |
| 2016 | KES | Measuring the Local Non-alignment Between Objects: Applications to Different Domains. | Radu Tudor Ionescu |
| 2015 | ICIAP | Have a SNAK. Encoding Spatial Information with the Spatial Non-alignment Kernel. | Radu Tudor Ionescu, Marius Popescu |
| 2015 | ICONIP | A Fast Algorithm for Local Rank Distance: Application to Arabic Native Language Identification. | Radu Tudor Ionescu |
| 2015 | ICONIP | Texture Classification with Patch Autocorrelation Features. | Radu Tudor Ionescu, Andreea Lavinia Popescu, Dan Popescu |
| 2015 | SPIRE | DeShaTo: Describing the Shape of Cumulative Topic Distributions to Rank Retrieval Systems Without Relevance Judgments. | Radu Tudor Ionescu, Adrian-Gabriel Chifu, Josiane Mothe |
| 2014 | EMNLP | Can characters reveal your native language? A language-independent approach to native language identification. | Radu Tudor Ionescu, Marius Popescu, Aoife Cahill |
| 2014 | ICIP | Objectness to improve the bag of visual words model. | Radu Tudor Ionescu, Marius Popescu |
| 2013 | ICIAP | Speeding Up Local Patch Dissimilarity. | Radu Tudor Ionescu, Marius Popescu |
| 2013 | ICIAP | Kernels for Visual Words Histograms. | Radu Tudor Ionescu, Marius Popescu |
| 2013 | ICONIP | Challenges in Representation Learning: A Report on Three Machine Learning Contests. | Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron C. Courville, Mehdi Mirza, Benjamin Hamner, William Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Tudor Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Chuang Zhang, Yoshua Bengio |
| 2013 | SYNASC | Local Rank Distance. | Radu Tudor Ionescu |
| 2012 | ICONIP | Clustering Based on Rank Distance with Applications on DNA. | Liviu Petrisor Dinu, Radu Tudor Ionescu |
| 2012 | ICONIP | Local Patch Dissimilarity for Images. | Liviu Petrisor Dinu, Radu Tudor Ionescu, Marius Popescu |
| 2012 | SYNASC | Clustering Methods Based on Closest String via Rank Distance. | Liviu P. Dinu, Radu Tudor Ionescu |
| 2012 | SYNASC | A Rank-Based Approach of Cosine Similarity with Applications in Automatic Classification. | Liviu P. Dinu, Radu Tudor Ionescu |
| 2011 | SYNASC | A Genetic Approximation of Closest String via Rank Distance. | Liviu Petrisor Dinu, Radu Tudor Ionescu |