Explanipedia

The Impact of Brand Storytelling on Consumer Perception Open

Li Deng · 2025

Brand storytelling has become a powerful strategy in marketing. Instead of just showing product features, it helps brands connect with people through emotions, values, and shared ideas. This review looks at how storytelling shapes consumer…

Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China Open

Li Deng, Jing Huang, Hang Yuan, Qiangdong Liu, Weiming Lou , et al. · 2025

AD-DES: An adaptive dual dynamic ensemble selection for imbalanced data streams Open

Ziyan Mo, Li Deng, Bo Wei, Jia-Kai Chen, Aixi Chen · 2025

Analysis of Points of Interests Recommended for Leisure Walk Descriptions Open

Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao , et al. · 2025

Leisure walking is a physical activity where locomotion through a natural or even urban environment is the goal in itself, e.g., in pursuit of health and wellbeing. In contrast to destination-oriented walks that are focused on navigation e…

Optimization of compressed sensing-based radio interferometric imaging: hyperparameter selection Open

Haoming Dai, Li Deng · 2025

Imbalanced Data Classification Based on Improved Random-SMOTE and Feature Standard Deviation Open

Ying Zhang, Li Deng, Bo Wei · 2024

Oversampling techniques are widely used to rebalance imbalanced datasets. However, most of the oversampling methods may introduce noise and fuzzy boundaries for dataset classification, leading to the overfitting phenomenon. To solve this p…

Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization Open

Li Deng, Aming Wu, Yaowei Wang, Yahong Han · 2024

Single-domain generalization aims to learn a model from single source domain data to achieve generalized performance on other unseen target domains. Existing works primarily focus on improving the generalization ability of static networks.…

An Accurate and Trustworthy Deep Learning Approach for Bladder Tumor Segmentation with Uncertainty Estimation Open

Jie Xu, Haixin Wang, Min Lü, Hai Bi, Li Deng , et al. · 2024

Exploration of new media operation and brand promotion strategy in the era of artificial intelligence Open

Li Deng · 2024

This paper proposes a new evaluation model for the current situation and challenges of further media communication of enterprise brands through diversified publicity. A comprehensive evaluation model based on AHP-EWM-TOPSIS is constructed …

Feature selection via a multi-swarm salp swarm algorithm Open

Bo Wei, Jin Xiao, Li Deng, Yanrong Huang, Hongrun Wu · 2024

Feature selection (FS) is a promising pre-processing step before performing most data engineering tasks. The goal of it is to select the optimal feature subset with promising quality from the original high-dimension feature space. The Salp…

Trusting Language Models in Education Open

Jogi Suda Neto, Li Deng, Thejaswi Raya, Reza Shahbazi, Nick Liu , et al. · 2023

Language Models are being widely used in Education. Even though modern deep learning models achieve very good performance on question-answering tasks, sometimes they make errors. To avoid misleading students by showing wrong answers, it is…

Rule Learning over Knowledge Graphs: A Review Open

Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng · 2023

Compared to black-box neural networks, logic rules express explicit knowledge, can provide human-understandable explanations for reasoning processes, and have found their wide application in knowledge graphs and other downstream tasks. As …

An improved SMOTE based on center offset factor and synthesis strategy for imbalanced data classification Open

Ying Zhang, Li Deng, Hefeng Huang, Bo Wei · 2023

It is an enormous challenge for imbalanced data learning in the field of machine learning. To construct balanced datasets, oversampling techniques have been studied extensively. However, many oversampling methods suffer from introducing no…

Kai-Xin-San regulates synaptic plasticity through calcium signaling to alleviate symptoms of depression-like behavioral disorders in mice Open

Jialin Wu, Huachong Xu, Shiqi Wang, Ya-Wen Jiang, Guosen Ou , et al. · 2023

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction Open

Raymond Li, Ilya Valmianski, Li Deng, Xavier Amatriain, Anitha Kannan · 2022

Medical entity span extraction and linking are critical steps for many healthcare NLP tasks. Most existing entity extraction methods either have a fixed vocabulary of medical entities or require span annotations. In this paper, we propose …

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog\n System Open

Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya , et al. · 2021

We present MEDCOD, a Medically-Accurate, Emotive, Diverse, and Controllable\nDialog system with a unique approach to the natural language generator module.\nMEDCOD has been developed and evaluated specifically for the history taking\ntask.…

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System Open

Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya , et al. · 2021

We present MEDCOD, a Medically-Accurate, Emotive, Diverse, and Controllable Dialog system with a unique approach to the natural language generator module. MEDCOD has been developed and evaluated specifically for the history taking task. It…

Harnessing the power of artificial intelligence to transform hearing healthcare and research Open

Nicholas A. Lesica, Nishchay Mehta, Joseph Manjaly, Li Deng, Blake S. Wilson , et al. · 2021

Multimodal Intelligence: Representation Learning, Information Fusion, and Applications Open

Chao Zhang, Zichao Yang, Xiaodong He, Li Deng · 2020

Deep learning methods have revolutionized speech recognition, image\nrecognition, and natural language processing since 2010. Each of these tasks\ninvolves a single modality in their input signals. However, many applications\nin the artifi…

Attentive Tensor Product Learning Open

Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He · 2019

This paper proposes a novel neural architecture — Attentive Tensor Product Learning (ATPL) — to represent grammatical structures of natural language in deep learning models. ATPL exploits Tensor Product Representations (TPR), a structured …

From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation Open

Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen · 2019

Many important classification problems, such as object classification, speech recognition, and machine translation, have been tackled by the supervised learning paradigm in the past, where training corpora of parallel input-output pairs ar…

Question-Answering with Grammatically-Interpretable Representations Open

Hamid Palangi, Paul Smolensky, Xiaodong He, Li Deng · 2018

We introduce an architecture, the Tensor Product RecurrentNetwork (TPRN). In our application of TPRN, internal representations—learned by end-to-end optimization in a deep neural network performing a textual question-answering(QA) task—can…

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Open

Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, S. Faisal Ahmed , et al. · 2018

We present a new algorithm that significantly improves the efficiency of exploration for deep Q-learning agents in dialogue systems. Our agents explore via Thompson sampling, drawing Monte Carlo samples from a Bayes-by-Backprop neural netw…

Different osteotomy solutions influence future total knee arthroplasty in patients with multiapical lower extremity deformities Open

Jie Xu, Yingbin Zhang, Li Deng, Yulin Huang, Zhiqing Cai , et al. · 2018

Background: Although osteotomy achieves success on correction of lower extremity deformities, a future total knee arthroplasty (TKA) is sometimes inevitable. The zigzagged fumer and tibia after previous osteotomy can somehow influence TKA…

Attentive Tensor Product Learning for Language Generation and Grammar Parsing. Open

Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He · 2018

This paper proposes a new architecture - Attentive Tensor Product Learning (ATPL) - to represent grammatical structures in deep learning models. ATPL is a new architecture to bridge this gap by exploiting Tensor Product Representations (TP…

Attentive Tensor Product Learning Open

Qiuyuan Huang, Li Deng, Dapeng Wu, Chang Liu, Xiaodong He · 2018

This paper proposes a new architecture - Attentive Tensor Product Learning (ATPL) - to represent grammatical structures in deep learning models. ATPL is a new architecture to bridge this gap by exploiting Tensor Product Representations (TP…

Tensor Product Generation Networks for Deep NLP Modeling Open

Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Wu · 2018

Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Wu. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Open

Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed , et al. · 2017

We present a new algorithm that significantly improves the efficiency of exploration for deep Q-learning agents in dialogue systems. Our agents explore via Thompson sampling, drawing Monte Carlo samples from a Bayes-by-Backprop neural netw…

Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum] Open

Yonina C. Eldar, Alfred O. Hero, Li Deng, Jeff Fessler, Jelena Kovačević , et al. · 2017

This column summarizes the panel on open problems in signal processing, which took place on 5 March 2017 at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in New Orleans, Louisiana. The goal of the panel …

A Neural-Symbolic Approach to Natural Language Tasks. Open

Qiuyuan Huang, Paul Smolensky, Xiaodong He, Li Deng, Dapeng Wu · 2017

Deep learning (DL) has in recent years been widely used in natural language processing (NLP) applications due to its superior performance. However, while natural languages are rich in grammatical structure, DL has not been able to explicit…

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