Search Results for author: Huan Chen

Found 16 papers, 4 papers with code

Geo-BERT Pre-training Model for Query Rewriting in POI Search

no code implementations Findings (EMNLP) 2021 Xiao Liu, Juan Hu, Qi Shen, Huan Chen

Finally, we train a BERT-like pre-training model with text and POIs’ graph embeddings to get an integrated representation of both geographic and semantic information, and apply it in the QR of POI search.

Graph Representation Learning

Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction

no code implementations2 Dec 2023 Huan Chen, Wangcai Zhao, Tingfa Xu, Shiyun Zhou, Peifu Liu, Jianan Li

The Fourier coordinate encoder enhances the SINR's ability to emphasize high-frequency components, while the spectral scale factor module guides the SINR to adapt to the variable number of spectral channels.

Image Reconstruction Spectral Super-Resolution +1

Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection

1 code implementation2 Dec 2023 Peifu Liu, Tingfa Xu, Huan Chen, Shiyun Zhou, Haolin Qin, Jianan Li

The Spectral Saliency approximates the region of salient objects, while the Spectral Edge captures edge information of salient objects.

object-detection Object Detection +1

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction

1 code implementation17 Oct 2023 Chong Zhang, Ya Guo, Yi Tu, Huan Chen, Jinyang Tang, Huijia Zhu, Qi Zhang, Tao Gui

However, BIO-tagging scheme relies on the correct order of model inputs, which is not guaranteed in real-world NER on scanned VrDs where text are recognized and arranged by OCR systems.

Entity Linking Key Information Extraction +9

Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning

1 code implementation11 Jul 2023 Ghanshyam Verma, Shovon Sengupta, Simon Simanta, Huan Chen, Janos A. Perge, Devishree Pillai, John P. McCrae, Paul Buitelaar

Personalized recommendations have a growing importance in direct marketing, which motivates research to enhance customer experiences by knowledge graph (KG) applications.

Decision Making Knowledge Graphs +3

LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding

no code implementations30 May 2023 Yi Tu, Ya Guo, Huan Chen, Jinyang Tang

LayoutMask can enhance the interactions between text and layout modalities in a unified model and produce adaptive and robust multi-modal representations for downstream tasks.

Document Image Classification document understanding +7

Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy

1 code implementation14 Apr 2023 Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai

Our findings show that Hispanic and African American are most likely impacted by cultural characteristics such as religions and ethnic affiliation, whereas the vaccine trust and approval influence the Asian communities the most.

Cultural Vocal Bursts Intensity Prediction

Toward An Optimal Selection of Dialogue Strategies: A Target-Driven Approach for Intelligent Outbound Robots

no code implementations22 Jun 2022 Ruifeng Qian, Shijie Li, Mengjiao Bao, Huan Chen, Yu Che

With the growth of the economy and society, enterprises, especially in the FinTech industry, have increasing demands of outbound calls for customers such as debt collection, marketing, anti-fraud calls, and so on.


Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph

no code implementations30 Apr 2021 Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen

We first construct a billion-scale conversation knowledge graph (CKG) from information about users, items and conversations, and then pretrain CKG by introducing knowledge graph embedding method and graph convolution network to encode semantic and structural information respectively. To make the CTR prediction model sensible of current state of users and the relationship between dialogues and items, we introduce user-state and dialogue-interaction representations based on pre-trained CKG and propose K-DCN. In K-DCN, we fuse the user-state representation, dialogue-interaction representation and other normal feature representations via deep cross network, which will give the rank of candidate items to be recommended. We experimentally prove that our proposal significantly outperforms baselines and show it's real application in Alime.

Click-Through Rate Prediction Knowledge Graph Embedding +1

An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary

no code implementations4 Mar 2021 Shuangyong Song, Kexin Wang, Chao Wang, Haiqing Chen, Huan Chen

In response generation task, proper sentimental expressions can obviously improve the human-like level of the responses.

Response Generation

MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning

no code implementations13 Apr 2020 Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, Haiqing Chen

In this paper, we propose the conversational query rewriting model - MLR, which is a Multi-task model on sequence Labeling and query Rewriting.

Multi-Task Learning

POI Semantic Model with a Deep Convolutional Structure

no code implementations18 Mar 2019 Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye

An accurate similarity calculation is challenging since the mismatch between a query and a retrieval text may exist in the case of a mistyped query or an alias inquiry.


Cannot find the paper you are looking for? You can Submit a new open access paper.