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Mengnan Shi
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2020 – today
- 2024
- [j5]Mengnan Shi, Joonoh Seo, Seung Hyun Cha, Bo Xiao, Hung-Lin Chi:
Generative AI-powered architectural exterior conceptual design based on the design intent. J. Comput. Des. Eng. 11(5): 125-142 (2024) - [j4]Mengnan Shi, Chang Liu, Jianbin Jiao, Qixiang Ye:
Self-supervised feature-gate coupling for dynamic network pruning. Pattern Recognit. 154: 110594 (2024) - [c2]Yunda Guo, Jiake Ge, Panfeng Guo, Yunpeng Chai, Tao Li, Mengnan Shi, Yang Tu, Jian Ouyang:
PASS: Predictive Auto-Scaling System for Large-scale Enterprise Web Applications. WWW 2024: 2747-2758 - 2023
- [j3]Xinmeng Liao, Mehmet Ozcan, Mengnan Shi, Woonghee Kim, Han Jin, Xiangyu Li, Hasan Turkez, Adnane Achour, Mathias Uhlén, Adil Mardinoglu, Cheng Zhang:
Open MoA: revealing the mechanism of action (MoA) based on network topology and hierarchy. Bioinform. 39(10) (2023) - 2022
- [i4]Yunjie Tian, Lingxi Xie, Jiemin Fang, Mengnan Shi, Junran Peng, Xiaopeng Zhang, Jianbin Jiao, Qi Tian, Qixiang Ye:
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers. CoRR abs/2203.14313 (2022) - [i3]Bohao Li, Chang Liu, Mengnan Shi, Xiaozhong Chen, Xiangyang Ji, Qixiang Ye:
Proposal Distribution Calibration for Few-Shot Object Detection. CoRR abs/2212.07618 (2022) - 2021
- [i2]Mengnan Shi, Chang Liu, Qixiang Ye, Jianbin Jiao:
Feature-Gate Coupling for Dynamic Network Pruning. CoRR abs/2111.14302 (2021)
2010 – 2019
- 2019
- [j2]Qiuxiang Li, Mengnan Shi, Qing Deng, Yimin Huang:
The Complexity Entropy Analysis of a Supply Chain System Considering Recovery Rate and Channel Service. Entropy 21(7): 659 (2019) - 2018
- [j1]Jiajun Wang, Denghua Zhong, Binping Wu, Mengnan Shi:
Evaluation of Compaction Quality Based on SVR with CFA: Case Study on Compaction Quality of Earth-Rock Dam. J. Comput. Civ. Eng. 32(3) (2018) - 2017
- [c1]Mengnan Shi, Fei Qin, Qixiang Ye, Zhenjun Han, Jianbin Jiao:
A scalable convolutional neural network for task-specified scenarios via knowledge distillation. ICASSP 2017: 2467-2471 - 2016
- [i1]Mengnan Shi, Fei Qin, Qixiang Ye, Zhenjun Han, Jianbin Jiao:
A scalable convolutional neural network for task-specified scenarios via knowledge distillation. CoRR abs/1609.05695 (2016)
Coauthor Index
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last updated on 2024-10-16 21:25 CEST by the dblp team
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