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Mingqian Li
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2020 – today
- 2024
- [c6]Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai:
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data. IJCAI 2024: 4098-4106 - [c5]Mingqian Li, Rong Du:
The Impact of Blockchain Traceability Information on Product Sales in e-Commerce Platforms. WHICEB (3) 2024: 38-49 - [i6]Qiao Han, Mingqian Li, Yao Yang, Yiteng Zhai:
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data. CoRR abs/2402.18800 (2024) - [i5]Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang:
Physical formula enhanced multi-task learning for pharmacokinetics prediction. CoRR abs/2404.10354 (2024) - [i4]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:
STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation. CoRR abs/2407.13246 (2024) - [i3]Ruifeng Li, Mingqian Li, Wei Liu, Hongyang Chen:
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs. CoRR abs/2408.01018 (2024) - [i2]Mingqian Li, Qiao Han, Yiteng Zhai, Ruifeng Li, Yao Yang, Hongyang Chen:
Dual-Label Learning With Irregularly Present Labels. CoRR abs/2410.14380 (2024) - [i1]Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin:
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery. CoRR abs/2410.20711 (2024) - 2023
- [c4]Mingqian Li, Zhiqian Yan, Qinghang Lu, Qiongxiong Ma, Liang Guo, Qingmao Zhang:
A Semi-supervised Tooth Segmentation Method Based on Entropy-Guided Mean Teacher and Weakly Mutual Consistency Network. SemiToothSeg@MICCAI 2023: 58-71 - 2022
- [c3]Xiaoyun Mo, Mingqian Li, Mo Li:
Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process. PAKDD (1) 2022: 41-53 - 2021
- [c2]Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua:
Traffic Flow Prediction with Vehicle Trajectories. AAAI 2021: 294-302 - [c1]Panrong Tong, Mingqian Li, Mo Li, Jianqiang Huang, Xiansheng Hua:
Large-scale vehicle trajectory reconstruction with camera sensing network. MobiCom 2021: 188-200
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last updated on 2024-12-03 20:29 CET by the dblp team
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