Learning to Generate Posters of Scientific Papers. - Yuting Qiang; Yanwei Fu 001; Yanwen Guo 001; Zhi-Hua Zhou; Leonid Sigal (AAAI, 2016)

Deep Comparison: Relation Columns for Few-Shot Learning. - Xueting Zhang; Flood Sung; Yuting Qiang; Yongxin Yang; Timothy M. Hospedales (CoRR, 2018)

Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models. - Yuting Qiang; Yanwei Fu 001; Xiao Yu; Yanwen Guo 001; Zhi-Hua Zhou; Leonid Sigal (J. Comput. Sci. Technol., 2019)

GradNet: unsupervised deep screened poisson reconstruction for gradient-domain rendering. - Jie Guo 001; Mengtian Li; Quewei Li; Yuting Qiang; Bingyang Hu; Yanwen Guo 001; Ling-Qi Yan 001 (ACM Trans. Graph., 2019)

RelationNet2: Deep Comparison Network for Few-Shot Learning. - Xueting Zhang; Yuting Qiang; Flood Sung; Yongxin Yang; Timothy M. Hospedales (IJCNN, 2020)

Tensor Composition Net for Visual Relationship Prediction. - Yuting Qiang; Yongxin Yang; Xueting Zhang; Yanwen Guo 001; Timothy M. Hospedales (BMVC, 2021)

GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. - Xiaowei Mao; Huaiyu Wan; Haomin Wen; Fan Wu; Jianbin Zheng 003; Yuting Qiang; Shengnan Guo 001; Lixia Wu; Haoyuan Hu; Youfang Lin (AAAI, 2023)

Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. - Yuting Qiang; Haomin Wen; Lixia Wu; Xiaowei Mao; Fan Wu; Huaiyu Wan; Haoyuan Hu (ICDE, 2023)

A Momentum Contrastive Learning Framework for Query-POI Matching. - Yuting Qiang; Jianbing Zheng 002; Lixia Wu; Haomin Wen; Junhong Lou; Minhui Deng (ICDM, 2024)

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services. - Youfang Lin; Jinji Fu; Haomin Wen; Jiyuan Wang 001; Zhenjie Wei; Yuting Qiang; Xiaowei Mao; Lixia Wu; Haoyuan Hu; Yuxuan Liang; Huaiyu Wan (CoRR, 2024)

Learning Adaptive Reserve Price in Display Advertising. - Kun Hu; Shumin Zhang; Lixia Wu; Yongjun Dai; Minfang Lu; Yuting Qiang; Minglong Li (KDD (1), 2025)