Wanying Ding

23 papers A* 5A 1Misc 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Better with Less: Small Proprietary Models Surpass Large Language Models in Financial Transaction Understanding.
CoRR
Wanying Ding, Savinay Narendra, Xiran Shi, Adwait Ratnaparkhi, Chengrui Yang, Nikoo Sabzevar, Ziyan Yin
2025 J jnl
JEL: A Novel Model Linking Knowledge Graph entities to News Mentions.
CoRR
Michael Kishelev, Pranab Bhadani, Wanying Ding, Vinay K. Chaudhri
2024 J jnl
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase.
CoRR
Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krishna Konakanchi
2024 A* conf
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs.
SIGIR
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri
2024 J jnl
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs.
CoRR
Wanying Ding, Manoj Cherukumalli, Santosh Chikoti, Vinay K. Chaudhri
2022 A* conf
Visual Emotion Representation Learning via Emotion-Aware Pre-training.
IJCAI
Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu
2021 A* conf
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase.
AAAI
Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krishna Konakanchi
2021 — conf
Towards Explainable Visual Emotion Understanding.
IEEE BigData
Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu
2020 J jnl
Adversarial Code Learning for Image Generation.
CoRR
Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu
2020 A* conf
Learning Tuple Compatibility for Conditional Outfit Recommendation.
ACM Multimedia
Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan
2020 J jnl
Learning Tuple Compatibility for Conditional OutfitRecommendation.
CoRR
Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan
2019 — conf
Fashion-AttGAN: Attribute-Aware Fashion Editing With Multi-Objective GAN.
CVPR Workshops
Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan
2019 J jnl
Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN.
CoRR
Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan
2018 — conf
Context Aware Recommender System for Large Scaled Flash Sale Sites.
IEEE BigData
Wanying Ding, Ran Xu, Ying Ding, Yue Zhang, Chuanjiang Luo, Zhendong Yu
2017 A* conf
Counter Deanonymization Query: H-index Based
SIGIR
Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu
2017 J jnl
Which used product is more sellable? A time-aware approach.
Inf. Retr. J.
Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu
2016 — conf
Semi-supervised Dirichlet-Hawkes process with applications of topic detection and tracking in Twitter.
IEEE BigData
Wanying Ding, Yue Zhang, Chaomei Chen, Xiaohua Hu
2015 — conf
ProbitUCB: A Novel Method for Review Ranking.
PAKDD Workshops
Wanying Ding, Yue Shang, Dae Hoon Park, Lifan Guo, Xiaohua Hu
2015 Misc conf
Scalable user intent mining using a multimodal Restricted Boltzmann Machine.
ICNC
Yue Shang, Wanying Ding, Mengwen Liu, Xiaoli Song, Tony Hu, Yuan An, Haohong Wang, Lifan Guo
2015 A conf
Video Popularity Prediction by Sentiment Propagation via Implicit Network.
CIKM
Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He
2014 J jnl
Dynamic topic detection and tracking: A comparison of HDP, C-word, and cocitation methods.
J. Assoc. Inf. Sci. Technol.
Wanying Ding, Chaomei Chen
2014 J jnl
Jointly Image Topic and Emotion Detection using Multi-Modal Hierarchical Latent Dirichlet Allocation.
J. Multim. Inf. Syst.
Wanying Ding, Junhuan Zhu, Lifan Guo, Xiaohua Hu, Jiebo Luo, Haohong Wang
2013 — conf
A Novel Hybrid HDP-LDA Model for Sentiment Analysis.
Web Intelligence
Wanying Ding, Xiaoli Song, Lifan Guo, Zunyan Xiong, Xiaohua Hu