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Duanshun Li
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2020 – today
- 2024
- [c7]Xin Tang, Chengliang Chai, Dawei Zhao, Haohai Ma, Yong Zheng, Zhenyong Fan, Xin Wu, Jiaquan Zhang, Rui Zhang, Duanshun Li, Yi He, Keji Huang, Guangbin Meng, Yidong Wang, Yuefeng Zhou, Tao Tao, Lirong Jian, Jiwu Shu, Yuping Wang, Ye Yuan, Guoren Wang, Guoliang Li:
Separation Is for Better Reunion: Data Lake Storage at Huawei. ICDE 2024: 5142-5155 - 2021
- [c6]Jiahao Pang, Duanshun Li, Dong Tian:
TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations. CVPR 2021: 7453-7462 - [c5]Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park:
A Novel Method to Solve Neural Knapsack Problems. ICML 2021: 6414-6424 - [c4]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. KDD 2021: 914-924 - [c3]Jinsung Jeon, Dongeun Lee, Seunghyun Hwang, Soyoung Kang, Noseong Park, Duanshun Li, Kookjin Lee, Jing Liu:
Large-Scale Flight Frequency Optimization with Global Convergence in the US Domestic Air Passenger Markets. SDM 2021: 711-719 - [i7]Duanshun Li, Jing Liu, Jinsung Jeon, Seoyoung Hong, Thai Le, Dongwon Lee, Noseong Park:
Large-Scale Data-Driven Airline Market Influence Maximization. CoRR abs/2105.15012 (2021) - 2020
- [j3]Siheng Chen
, Chaojing Duan, Yaoqing Yang
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. IEEE Trans. Image Process. 29: 3183-3198 (2020) - [i6]Jiahao Pang, Duanshun Li, Dong Tian:
TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations. CoRR abs/2006.10187 (2020)
2010 – 2019
- 2019
- [j2]Duanshun Li, Ming Lu:
Classical Planning Model-Based Approach to Automating Construction Planning on Earthwork Projects. Comput. Aided Civ. Infrastructure Eng. 34(4): 299-315 (2019) - [j1]Congzhe Cao
Deep Learning-Based Decoding of Constrained Sequence Codes. IEEE J. Sel. Areas Commun. 37(11): 2532-2543 (2019) - [c2]Jing Liu, Yudi Chen, Duanshun Li, Noseong Park, Kisung Lee, Dongwon Lee:
Predicting Influence Probabilities using Graph Convolutional Networks. IEEE BigData 2019: 860-869 - [i5]Siheng Chen, Chaojing Duan, Yaoqing Yang, Duanshun Li, Chen Feng, Dong Tian:
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering. CoRR abs/1905.04571 (2019) - [i4]Duanshun Li, Jing Liu, Noseong Park, Dongeun Lee, Giridhar Ramachandran, Ali Seyedmazloom, Kookjin Lee, Chen Feng, Vadim Sokolov, Rajesh Ganesan:
Solving Large-Scale 0-1 Knapsack Problems and its Application to Point Cloud Resampling. CoRR abs/1906.05929 (2019) - [i3]Congzhe Cao, Duanshun Li, Ivan J. Fair:
Deep Learning-Based Decoding of Constrained Sequence Codes. CoRR abs/1906.06172 (2019) - 2018
- [c1]Congzhe Cao, Duanshun Li, Ivan J. Fair:
Deep Learning-Based Decoding for Constrained Sequence Codes. GLOBECOM Workshops 2018: 1-7 - [i2]Congzhe Cao, Duanshun Li, Ivan J. Fair:
Deep Learning-Based Decoding for Constrained Sequence Codes. CoRR abs/1809.01859 (2018) - [i1]Duanshun Li, Chen Feng:
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation. CoRR abs/1810.01604 (2018)
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last updated on 2024-08-07 21:27 CEST by the dblp team
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