Wanying Ding

According to our database, Wanying Ding authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs.

Wanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2022

Visual Emotion Representation Learning via Emotion-Aware Pre-training.

Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Towards Explainable Visual Emotion Understanding.

Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase.

Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krishna Konakanchi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Tuple Compatibility for Conditional OutfitRecommendation.

Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan

CoRR, 2020

Adversarial Code Learning for Image Generation.

Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu

CoRR, 2020

Learning Tuple Compatibility for Conditional Outfit Recommendation.

Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Fashion-AttGAN: Attribute-Aware Fashion Editing With Multi-Objective GAN.

Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Context Aware Recommender System for Large Scaled Flash Sale Sites.

Wanying Ding, Ran Xu, Ying Ding, Yue Zhang, Chuanjiang Luo, Zhendong Yu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Which used product is more sellable? A time-aware approach.

Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu

Inf. Retr. J., 2017

Counter Deanonymization Query: H-index Based <i>k</i>-Anonymization Privacy Protection for Social Networks.

Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Semi-supervised Dirichlet-Hawkes process with applications of topic detection and tracking in Twitter.

Wanying Ding, Yue Zhang, Chaomei Chen, Xiaohua Hu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

ProbitUCB: A Novel Method for Review Ranking.

Wanying Ding, Yue Shang, Dae Hoon Park, Lifan Guo, Xiaohua Hu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

Scalable user intent mining using a multimodal Restricted Boltzmann Machine.

Yue Shang, Wanying Ding, Mengwen Liu, Xiaoli Song, Tony Hu, Yuan An, Haohong Wang, Lifan Guo

Proceedings of the International Conference on Computing, Networking and Communications, 2015

Video Popularity Prediction by Sentiment Propagation via Implicit Network.

Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Jointly Image Topic and Emotion Detection using Multi-Modal Hierarchical Latent Dirichlet Allocation.

Wanying Ding, Junhuan Zhu, Lifan Guo, Xiaohua Hu, Jiebo Luo, Haohong Wang

J. Multim. Inf. Syst., 2014

Dynamic topic detection and tracking: A comparison of HDP, C-word, and cocitation methods.

Wanying Ding, Chaomei Chen

J. Assoc. Inf. Sci. Technol., 2014

2013

A Novel Hybrid HDP-LDA Model for Sentiment Analysis.

Wanying Ding, Xiaoli Song, Lifan Guo, Zunyan Xiong, Xiaohua Hu

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013