Mingqian Li

According to our database, Mingqian Li authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Aligning Multi-Dimensional Preferences via Relevance Feedback: An Effortless and Training-Free Framework for Text-to-Image Diffusion.

Wenxi Wang, Hongbin Liu, Mingqian Li, Junyan Yuan, Junqi Zhang

CoRR, March, 2026

MICCAI 2023 STS Challenge: A retrospective study of semi-supervised approaches for teeth segmentation.

Yaqi Wang, Yifan Zhang, Xiaodiao Chen, Shuai Wang, Dahong Qian, Fan Ye, Feng Xu, Hongyuan Zhang, Ruilong Dan, Qianni Zhang, Xingru Huang, Zhao Huang, Jun Liu, Zhiwen Zheng, Chengyu Wu, Yunxiang Li, Zhi Li, Zhean Ma, Weiwei Cui, Shan Luo, Chengkai Wang, Yifei Chen, Tianhao Li, Yi Liu, Xiang Feng, Jiaxue Ni, Dongyun Liu, Qixuan Wang, Zhouhao Lin, Wei Song, Yuanlin Li, Bing Wang, Chunshi Wang, Qiupu Chen, Mingqian Li, Huiyu Zhou, Qun Jin

Pattern Recognit., 2026

2025

The Impact of Generative AI Models on Consumer Purchase Behavior in E-Commerce Platforms: Evidence from a Quasi-Natural Experiment.

Jianing Xie, Mingqian Li, Rong Du, David M. Townsend

Proceedings of the E-Business. Generative Artificial Intelligence and Management Transformation, 2025

PFESA: FFT-Based Parameter-Free Edge and Structure Attention for Medical Image Segmentation.

Mingqian Li, Zhiqian Yan, Miaoning Yan, Yaodong Liang, Qingmao Zhang, Qiongxiong Ma

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

GNN-SKAN: Advancing Molecular Representation Learning with SwallowKAN.

Ruifeng Li, Mingqian Li, Wei Liu, Hongyang Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery.

Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Driver Recipient Selection for Traffic Safety Education via Uplift Modeling.

Mingqian Li, Mo Li, Panrong Tong, Zhongming Jin

Proceedings of the Database Systems for Advanced Applications, 2025

Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery.

Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery.

Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin

CoRR, 2024

Dual-Label Learning With Irregularly Present Labels.

Mingqian Li, Qiao Han, Yiteng Zhai, Ruifeng Li, Yao Yang, Hongyang Chen

CoRR, 2024

GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs.

Ruifeng Li, Mingqian Li, Wei Liu, Hongyang Chen

CoRR, 2024

STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation.

Yaqi Wang, Yifan Zhang, Xiaodiao Chen, Shuai Wang, Dahong Qian, Fan Ye, Feng Xu, Hongyuan Zhang, Qianni Zhang, Chengyu Wu, Yunxiang Li, Weiwei Cui, Shan Luo, Chengkai Wang, Tianhao Li, Yi Liu, Xiang Feng, Huiyu Zhou, Dongyun Liu, Qixuan Wang, Zhouhao Lin, Wei Song, Yuanlin Li, Bing Wang, Chunshi Wang, Qiupu Chen, Mingqian Li

CoRR, 2024

Physical formula enhanced multi-task learning for pharmacokinetics prediction.

Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang

CoRR, 2024

The Impact of Blockchain Traceability Information on Product Sales in e-Commerce Platforms.

Mingqian Li, Rong Du

Proceedings of the E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future, 2024

BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data.

Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

A Semi-supervised Tooth Segmentation Method Based on Entropy-Guided Mean Teacher and Weakly Mutual Consistency Network.

Mingqian Li, Zhiqian Yan, Qinghang Lu, Qiongxiong Ma, Liang Guo, Qingmao Zhang

Proceedings of the Semi-supervised Tooth Segmentation - First MICCAI Challenge, 2023

2022

Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process.

Xiaoyun Mo, Mingqian Li, Mo Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Large-scale vehicle trajectory reconstruction with camera sensing network.

Panrong Tong, Mingqian Li, Mo Li, Jianqiang Huang, Xiansheng Hua

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Traffic Flow Prediction with Vehicle Trajectories.

Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua

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