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- Foundations of Group Signatures: The Case of Dynamic Groups579
This paper treats the case where the group is static, providing foundations for dynamic group signatures, in the form of a model, strong formal definitions of security, and a construction proven secure under general assumptions.
- Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation311
This work presents Human to Humanoid (H2O), a reinforcement learning (RL) based framework that enables real-time whole-body teleoperation of a full-sized humanoid robot with only an RGB camera, and achieves teleoperation of dynamic whole-body motions in real-world scenarios.
- A Cost-Sensitive Deep Belief Network for Imbalanced Classification284
An evolutionary cost-sensitive deep belief network (ECS-DBN) for imbalanced classification that uses adaptive differential evolution to optimize the misclassification costs based on the training data that presents an effective approach to incorporating the evaluation measure into the objective function.
- A Partition Filter Network for Joint Entity and Relation Extraction172
A partition filter network to model two-way interaction between tasks properly, where feature encoding is decomposed into two steps: partition and filter, and auxiliary experiments suggest that relation prediction is contributory to named entity prediction in a non-negligible way.
- EEG-based estimation of mental fatigue by using KPCA–HMM and complexity parameters154
The investigation suggests that ApEn and Kc can effectively describe the dynamic complexity of EEG, which is strongly correlated with mental fatigue.
- Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training149
Supervised Contrastive Pre-training on large-scale sentiment-annotated corpora retrieved from in-domain language resources leads to better capture of both implicit and explicit sentiment orientation towards aspects in reviews, and comprehensive analysis validates its effectiveness on learning implicit sentiment.
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- Spherical Convolution Empowered Viewport Prediction in 360 Video Multicast with Limited FoV Feedback113
This article proposes a spherical convolution-empowered FoV prediction method, which is a multi-source prediction framework combining salient features extracted from 360-degree video with limited FoV feedback information, and shows that the performance of the proposed method is better than other prediction methods.
- MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation103
The integrated MossFormer2 hybrid model demonstrates remarkable enhancements over MossFormer and surpasses other state-of-the-art methods in WSJ0-2/3mix, Libri2Mix, and WHAM!/WHAMR! benchmarks.
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- Automatic recognition of cognitive fatigue from physiological indices by using wavelet packet transform and kernel learning algorithms53
The experimental results show that the predominant activity of autonomic nervous system of subjects turns to the sympathetic activity from parasympathetic activity after the task, and the KPCA-SVM method could be a promising tool for the evaluation of cognitive fatigue.
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- Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency51
This paper proposes an unsupervised method for domain adaptation gaze estimation to eliminate the impact of inter-personal diversity and designs Domain Adaptation Gaze Estimation Network (DAGEN), which learns embedding with prediction consistency and achieves state-of-the-art results on both the MPIIGaze and the EYEDIAP datasets.
- Goal-Guided Generative Prompt Injection Attack on Large Language Models44
This work designed a simple and effective goal-guided generative prompt injection strategy (G2PIA) to find an injection text that satisfies specific constraints to achieve the optimal attack effect approximately and is a query-free black-box attack method with a low computational cost.
- Data security crisis in universities: identification of key factors affecting data breach incidents44
The estimation and robustness findings revealed the underlying mechanisms that impacted university data security, clarifying the understanding of data breaches and suggesting practical implications for universities and other institutes to improve information security.
- FengHuoLun: A Federated Learning based Edge Computing Platform for Cyber-Physical Systems43
A novel Federated Learning based Edge Computing platform for CPS, named “FengHuoLun” is proposed, which can implement smart services where machine learning models are trained in a trusted Federated learning framework and assure the trustworthiness ofSmart services where CPS behaviours are tested and monitored using the Federatedlearning framework.
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- AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models37
This work introduces an innovative framework that can help evaluate the effectiveness of jailbreak attacks on LLMs and presents two distinct evaluation frameworks: a coarse-grained evaluation and a fine-grained evaluation.
- DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration36
The results show that the proposed framework can identify the difference in dynamics between the simulated and the real worlds, and thus improve policy transfer by optimizing the simulator's randomization ranges, and illustrate that based on these same identified parameters, the method can generalize the learned policy to different but related tasks.
- Reinforced Angle-Based Multicategory Support Vector Machines33
It is proved that RAMSVMs can enjoy Fisher consistency, and it is shown that the RAMSVM can be implemented using the very efficient coordinate descent algorithm on its dual problem, using an angle-based prediction rule with k − 1 functions directly.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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