12 citations · 27 across the 9 of their papers we have counts for
9 papers
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Yibing Liu, Chris Xing Tian, Haoliang Li +2
The out-of-distribution (OOD) problem generally arises when neural networks encounter data that significantly deviates from the training data distribution, i.e., in-distribution (I…
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System
Chenqi Kong, Kexin Zheng, Yibing Liu +3
Face presentation attacks (FPA), also known as face spoofing, have brought increasing concerns to the public through various malicious applications, such as financial fraud and pri…
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning
Yibing Liu, Chris Xing Tian, Haoliang Li +1
Learning invariant representations via contrastive learning has seen state-of-the-art performance in domain generalization (DG). Despite such success, in this paper, we find that i…
A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA
Yangyang Guo, Liqiang Nie, Yongkang Wong +3
Knowledge-based Visual Question Answering (VQA) expects models to rely on external knowledge for robust answer prediction. Though significant it is, this paper discovers several le…
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Yibing Liu, Haoliang Li, Yangyang Guo +3
Attention mechanisms are dominating the explainability of deep models. They produce probability distributions over the input, which are widely deemed as feature-importance indicato…
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
Yibing Liu, Yangyang Guo, Jianhua Yin +3
Visual attention in Visual Question Answering (VQA) targets at locating the right image regions regarding the answer prediction, offering a powerful technique to promote multi-moda…
Distilling Knowledge from Pre-trained Language Models via Text Smoothing
Xing Wu, Yibing Liu, Xiangyang Zhou +1
This paper studies compressing pre-trained language models, like BERT (Devlin et al.,2019), via teacher-student knowledge distillation. Previous works usually force the student mod…
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering
Yangyang Guo, Zhiyong Cheng, Liqiang Nie +3
Benefiting from the advancement of computer vision, natural language processing and information retrieval techniques, visual question answering (VQA), which aims to answer question…
A Fully Distributed Reactive Power Optimization and Control Method for Active Distribution Networks
Weiye Zheng, Wenchuan Wu, Boming Zhang +2
This paper proposes a fully distributed reactive power optimization algorithm that can obtain the global optimum of non-convex problems for distribution networks without a central…