Quantitative exploration into the diffusion process of creative ideas in economics: Nobel prize laureates. - Meen Chul Kim; Yuanyuan Feng; Yongjun Zhu; Qing Ping (ASIST, 2015)

A Comparative Study of Symptom Clustering On Clinical and Social Media Data. - Christopher C. Yang; Edward H. Ip; Nancy E. Avis; Qing Ping; Ling Jiang (SBP, 2015)

A novel algorithm for identifying essential proteins by integrating subcellular localization. - Ye-tian Fan; Xiaohua Hu 001; Xiwei Tang; Qing Ping; Wei Wu 010 (BIBM, 2016)

Breast Cancer Symptom Clusters Derived From Social Media and Research Study Data Using Improved K-Medoid Clustering. - Qing Ping; Christopher C. Yang; Sarah A. Marshall; Nancy E. Avis; Edward H. Ip (IEEE Trans. Comput. Soc. Syst., 2016)

Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments. - Qing Ping; Chaomei Chen (NFiS@EMNLP, 2017)

LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences. - Qing Ping; Chaomei Chen (ISSI, 2017)

Prediction of essential proteins based on subcellular localization and gene expression correlation. - Ye-tian Fan; Xiwei Tang; Xiaohua Hu 001; Wei Wu 010; Qing Ping (BMC Bioinform., 2017)

Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowd-sourced Time-Sync Comments. - Qing Ping; Chaomei Chen (CoRR, 2017)

How many ways to use CiteSpace? A study of user interactive events over 14 months. - Qing Ping; Jiangen He; Chaomei Chen (J. Assoc. Inf. Sci. Technol., 2017)

Video recommendation using crowdsourced time-sync comments. - Qing Ping (RecSys, 2018)

LitStoryTeller+: an interactive system for multi-level scientific paper visual storytelling with a supportive text mining toolbox. - Qing Ping; Chaomei Chen (Scientometrics, 2018)

Resisting re-identification mining on social graph data. - Jianliang Gao; Qing Ping; Jianxin Wang 001 (World Wide Web, 2018)

Fashion-AttGAN: Attribute-Aware Fashion Editing With Multi-Objective GAN. - Qing Ping; Bing Wu; Wanying Ding; Jiangbo Yuan (CVPR Workshops, 2019)

Convolutional Quantum-Like Language Model with Mutual-Attention for Product Rating Prediction. - Qing Ping; Chaomei Chen (CoRR, 2019)

PaperPoles: Facilitating adaptive visual exploration of scientific publications by citation links. - Jiangen He; Qing Ping; Wen Lou; Chaomei Chen (J. Assoc. Inf. Sci. Technol., 2019)

Adversarial Code Learning for Image Generation. - Jiangbo Yuan; Bing Wu; Wanying Ding; Qing Ping; Zhendong Yu (CoRR, 2020)

Interactive Teaching for Conversational AI. - Qing Ping; Feiyang Niu; Govind Thattai; Joel Chengottusseriyil; Qiaozi Gao; Aishwarya N. Reganti; Prashanth Rajagopal; Gökhan Tür; Dilek Hakkani-Tür; Prem Natarajan (CoRR, 2020)

Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation. - Tao Tu 002; Qing Ping; Govindarajan Thattai; Gökhan Tür; Prem Natarajan (CVPR, 2021)

Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation. - Tao Tu 002; Qing Ping; Govind Thattai; Gökhan Tür; Prem Natarajan (CoRR, 2021)

Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering. - Feng Gao 013; Qing Ping; Govind Thattai; Aishwarya N. Reganti; Ying Nian Wu; Prem Natarajan (CVPR, 2022)

A Multi -level Alignment Training Scheme for Video-and-Language Grounding. - Yubo Zhang 004; Feiyang Niu; Qing Ping; Govind Thattai (ICDM (Workshops), 2022)

A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering. - Feng Gao 013; Qing Ping; Govind Thattai; Aishwarya N. Reganti; Ying Nian Wu; Prem Natarajan (CoRR, 2022)

Privacy Preserving Visual Question Answering. - Cristian-Paul Bara; Qing Ping; Abhinav Mathur; Govind Thattai; Rohith MV; Gaurav S. Sukhatme (CoRR, 2022)

SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. - Karan Samel; Houyu Zhang; Jun Ma 029; Haoming Jiang; Qing Ping; Sheng Wang 012; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (IEEE Big Data, 2023)

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. - Qian Jiang; Changyou Chen; Han Zhao 002; Liqun Chen 001; Qing Ping; Son Dinh Tran; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2023)

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. - Han Xie; Da Zheng; Jun Ma 029; Houyu Zhang; Vassilis N. Ioannidis; Xiang Song 003; Qing Ping; Sheng Wang 012; Carl Yang 001; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (KDD, 2023)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)