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Yubo Gao
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2020 – today
- 2024
- [c7]Simeng Liu, Hao Chen, Yubo Gao:
Improved Superpoint with Feature Transformer for Remote Sensing Image Registration. IGARSS 2024: 7272-7275 - [c6]Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar:
Proteus: Preserving Model Confidentiality during Graph Optimizations. MLSys 2024 - [i4]Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar:
Proteus: Preserving Model Confidentiality during Graph Optimizations. CoRR abs/2404.12512 (2024) - [i3]Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si:
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. CoRR abs/2406.13161 (2024) - 2023
- [c5]Xiaokang Zhu, Ning Wang, Biao Zou, Songtao Zhu, Teng Fang, Yubo Gao:
Construction of Automatic Scheduling and Visualization System for Power Grid Space Operation Based on Reinforcement Learning Algorithm. BDMIP 2023: 105-110 - [c4]Yubo Gao, Haotian Wu:
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation. ICTAI 2023: 155-159 - [c3]Haotian Wu, Yubo Gao:
MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation. KSEM (3) 2023: 423-435 - [i2]Yubo Gao, Haotian Wu:
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation. CoRR abs/2310.00569 (2023) - 2021
- [c2]Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko:
Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training. USENIX ATC 2021: 503-521 - [i1]Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko:
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach. CoRR abs/2102.00527 (2021) - 2020
- [c1]Ping Li, Yubo Gao, Rebecca Kechen Dong:
Research on logistics distribution path optimization of fresh agricultural products under e-commerce background. ISBDAI 2020: 164-167
2010 – 2019
- 2019
- [j1]Weicheng Han, Yu Yao, Yubo Gao:
VIKOR method for effect evaluation of ancient village landscape planning based on the heritage historical context under 2-tuple linguistic enviroment. J. Intell. Fuzzy Syst. 37(2): 1945-1952 (2019)
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