25 citations · 130 across the 24 of their papers we have counts for
24 papers
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting
Hui Wang, Shiwan Zhao, Xiguang Zheng +1
Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the perceptual quality of the synthetic speech. While recent approaches using pre-trained self-supervised learn…
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition
Xuechen Wang, Shiwan Zhao, Yong Qin
Speech Emotion Recognition (SER) is a challenging task due to limited data and blurred boundaries of certain emotions. In this paper, we present a comprehensive approach to improve…
Better Zero-Shot Reasoning with Role-Play Prompting
Aobo Kong, Shiwan Zhao, Hao Chen +6
Modern large language models (LLMs) exhibit a remarkable capacity for role-playing, enabling them to embody not only human characters but also non-human entities. This versatility…
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
Mengting Hu, Zhen Zhang, Shiwan Zhao +2
As a main field of artificial intelligence, natural language processing (NLP) has achieved remarkable success via deep neural networks. Plenty of NLP tasks have been addressed in a…
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Mengting Hu, Yinhao Bai, Yike Wu +5
Recently, aspect sentiment quad prediction has received widespread attention in the field of aspect-based sentiment analysis. Existing studies extract quadruplets via pre-trained g…
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Zhen Zhang, Mengting Hu, Shiwan Zhao +6
Most named entity recognition (NER) systems focus on improving model performance, ignoring the need to quantify model uncertainty, which is critical to the reliability of NER syste…
PromptRank: Unsupervised Keyphrase Extraction Using Prompt
Aobo Kong, Shiwan Zhao, Hao Chen +4
The keyphrase extraction task refers to the automatic selection of phrases from a given document to summarize its core content. State-of-the-art (SOTA) performance has recently bee…
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition
Jiaming Zhou, Shiwan Zhao, Ning Jiang +2
End-to-end automatic speech recognition (ASR) usually suffers from performance degradation when applied to a new domain due to domain shift. Unsupervised domain adaptation (UDA) ai…
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
Mengting Hu, Yike Wu, Hang Gao +2
Recently, aspect sentiment quad prediction (ASQP) has become a popular task in the field of aspect-level sentiment analysis. Previous work utilizes a predefined template to paraphr…
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
Yike Wu, Yu Zhao, Shiwan Zhao +4
Despite the great progress of Visual Question Answering (VQA), current VQA models heavily rely on the superficial correlation between the question type and its corresponding freque…
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
Mengting Hu, Honglei Guo, Shiwan Zhao +2
A mind-map is a diagram that represents the central concept and key ideas in a hierarchical way. Converting plain text into a mind-map will reveal its key semantic structure and be…
Multi-Label Few-Shot Learning for Aspect Category Detection
Mengting Hu, Shiwan Zhao, Honglei Guo +5
Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence. In this paper, we formulate ACD in the few-shot learning scena…
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
Yiqin Yu, Xu Min, Shiwan Zhao +5
In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions. At the s…
S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
Zhihang Yuan, Bingzhe Wu, Zheng Liang +3
Recently, dynamic inference has emerged as a promising way to reduce the computational cost of deep convolutional neural network (CNN). In contrast to static methods (e.g. weight p…
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bingzhe Wu, Chaochao Chen, Shiwan Zhao +6
Bayesian deep learning is recently regarded as an intrinsic way to characterize the weight uncertainty of deep neural networks~(DNNs). Stochastic Gradient Langevin Dynamics~(SGLD)…
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
Mengting Hu, Shiwan Zhao, Honglei Guo +2
Aspect-based sentiment analysis (ABSA) is to predict the sentiment polarity towards a particular aspect in a sentence. Recently, this task has been widely addressed by the neural a…
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu, Shiwan Zhao, ChaoChao Chen +5
In this paper, we aim to understand the generalization properties of generative adversarial networks (GANs) from a new perspective of privacy protection. Theoretically, we prove th…
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
Mengting Hu, Yike Wu, Shiwan Zhao +3
Cross-domain sentiment classification has drawn much attention in recent years. Most existing approaches focus on learning domain-invariant representations in both the source and t…
Improving Captioning for Low-Resource Languages by Cycle Consistency
Yike Wu, Shiwan Zhao, Jia Chen +3
Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years. Existing works main…
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
Bingzhe Wu, Shiwan Zhao, Guangyu Sun +4
Recently, deep convolutional neural networks (CNNs) have achieved great success in pathological image classification. However, due to the limited number of labeled pathological ima…
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
Mengting Hu, Shiwan Zhao, Li Zhang +4
Aspect level sentiment classification is a fine-grained sentiment analysis task. To detect the sentiment towards a particular aspect in a sentence, previous studies have developed…
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
Jing Mei, Shiwan Zhao, Feng Jin +3
In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention. EHR data consist of a sequence of medical visits, i.e. a multivar…
Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images
Xiaolu Zhang, Shiwan Zhao, Lingxi Xie
The Wireless Capsule Endoscopy (WCE) is becoming a popular way of screening gastrointestinal system diseases and cancer. However, the time-consuming process in inspecting WCE data…
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification
Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao +4
Pathological glomerulus classification plays a key role in the diagnosis of nephropathy. As the difference between different subcategories is subtle, doctors often refer to slides…