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2020 – today
- 2023
[c13]Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. IEEE Big Data 2023: 838-846- [c12]Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. CVPR 2023: 7661-7671 - [c11]Han Xie
, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD 2023: 5270-5281 - [i12]Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning. CoRR abs/2303.05952 (2023) - [i11]Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR abs/2306.02592 (2023) - 2022
- [c10]Feng Gao, Qing Ping, Govind Thattai, Aishwarya N. Reganti, Ying Nian Wu, Prem Natarajan:
Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering. CVPR 2022: 5057-5067 - [c9]Yubo Zhang, Feiyang Niu, Qing Ping, Govind Thattai:
A Multi -level Alignment Training Scheme for Video-and-Language Grounding. ICDM (Workshops) 2022: 958-966 - [i10]Feng Gao, Qing Ping, Govind Thattai, Aishwarya N. Reganti, Ying Nian Wu, Prem Natarajan:
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering. CoRR abs/2201.05299 (2022) - [i9]Cristian-Paul Bara, Qing Ping, Abhinav Mathur, Govind Thattai, Rohith MV, Gaurav S. Sukhatme:
Privacy Preserving Visual Question Answering. CoRR abs/2202.07712 (2022) - [i8]Yubo Zhang, Feiyang Niu, Qing Ping, Govind Thattai:
A Multi-level Alignment Training Scheme for Video-and-Language Grounding. CoRR abs/2204.10938 (2022) - 2021
- [c8]Tao Tu, Qing Ping, Govindarajan Thattai, Gökhan Tür, Prem Natarajan:
Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation. CVPR 2021: 5622-5631 - [i7]Tao Tu, Qing Ping, Govind Thattai, Gökhan Tür, Prem Natarajan:
Learning Better Visual Dialog Agents with Pretrained Visual-Linguistic Representation. CoRR abs/2105.11541 (2021) - 2020
- [i6]Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu:
Adversarial Code Learning for Image Generation. CoRR abs/2001.11539 (2020) - [i5]Qing Ping, Feiyang Niu, Govind Thattai, Joel Chengottusseriyil, Qiaozi Gao, Aishwarya N. Reganti, Prashanth Rajagopal, Gökhan Tür, Dilek Hakkani-Tür, Prem Natarajan:
Interactive Teaching for Conversational AI. CoRR abs/2012.00958 (2020)
2010 – 2019
- 2019
- [j6]Jiangen He, Qing Ping, Wen Lou, Chaomei Chen:
PaperPoles: Facilitating adaptive visual exploration of scientific publications by citation links. J. Assoc. Inf. Sci. Technol. 70(8): 843-857 (2019) - [c7]Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan:
Fashion-AttGAN: Attribute-Aware Fashion Editing With Multi-Objective GAN. CVPR Workshops 2019: 323-325 - [i4]Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan:
Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN. CoRR abs/1904.07460 (2019) - [i3]Qing Ping, Chaomei Chen:
Convolutional Quantum-Like Language Model with Mutual-Attention for Product Rating Prediction. CoRR abs/1912.11720 (2019) - 2018
- [j5]Qing Ping, Chaomei Chen:
LitStoryTeller+: an interactive system for multi-level scientific paper visual storytelling with a supportive text mining toolbox. Scientometrics 116(3): 1887-1944 (2018) - [j4]Jianliang Gao, Qing Ping, Jianxin Wang:
Resisting re-identification mining on social graph data. World Wide Web 21(6): 1759-1771 (2018) - [c6]Qing Ping:
Video recommendation using crowdsourced time-sync comments. RecSys 2018: 568-572 - 2017
- [j3]Ye-tian Fan, Xiwei Tang, Xiaohua Hu, Wei Wu, Qing Ping:
Prediction of essential proteins based on subcellular localization and gene expression correlation. BMC Bioinform. 18(S-13): 13-21 (2017) - [j2]Qing Ping, Jiangen He, Chaomei Chen:
How many ways to use CiteSpace? A study of user interactive events over 14 months. J. Assoc. Inf. Sci. Technol. 68(5): 1234-1256 (2017) - [c5]Qing Ping, Chaomei Chen:
Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments. NFiS@EMNLP 2017: 1-11 - [c4]Qing Ping, Chaomei Chen:
LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences. ISSI 2017: 1118-1130 - [i2]Qing Ping, Chaomei Chen:
Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowd-sourced Time-Sync Comments. CoRR abs/1708.02210 (2017) - [i1]Qing Ping, Chaomei Chen:
LitStoryTeller: An Interactive System for Visual Exploration of Scientific Papers Leveraging Named entities and Comparative Sentences. CoRR abs/1708.02214 (2017) - 2016
- [j1]Qing Ping, Christopher C. Yang, Sarah A. Marshall, Nancy E. Avis, Edward H. Ip:
Breast Cancer Symptom Clusters Derived From Social Media and Research Study Data Using Improved K-Medoid Clustering. IEEE Trans. Comput. Soc. Syst. 3(2): 63-74 (2016) - [c3]Ye-tian Fan, Xiaohua Hu, Xiwei Tang, Qing Ping, Wei Wu:
A novel algorithm for identifying essential proteins by integrating subcellular localization. BIBM 2016: 107-110 - 2015
- [c2]Meen Chul Kim, Yuanyuan Feng, Yongjun Zhu, Qing Ping:
Quantitative exploration into the diffusion process of creative ideas in economics: Nobel prize laureates. ASIST 2015: 1-4 - [c1]Christopher C. Yang, Edward H. Ip, Nancy E. Avis, Qing Ping, Ling Jiang:
A Comparative Study of Symptom Clustering On Clinical and Social Media Data. SBP 2015: 222-231
Coauthor Index
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