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Junyang Wu
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2020 – today
- 2024
- [j3]Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Unleashing the Power of Visual Prompting At the Pixel Level. Trans. Mach. Learn. Res. 2024 (2024) - [i8]Junyang Wu, Yun Gu, Guang-Zhong Yang:
Efficient Domain Adaptation for Endoscopic Visual Odometry. CoRR abs/2403.10860 (2024) - [i7]Junyang Wu, Fangfang Xie, Jiayuan Sun, Yun Gu, Guang-Zhong Yang:
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images. CoRR abs/2410.13896 (2024) - 2023
- [j2]Junyang Wu, Xiaoyang Zou, Rong Tao, Guoyan Zheng:
Nonlinear regression of remaining surgery duration from videos via Bayesian LSTM-based deep negative correlation learning. Comput. Medical Imaging Graph. 110: 102314 (2023) - [j1]Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao:
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. Proc. VLDB Endow. 16(12): 3689-3701 (2023) - [c4]Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei:
SEA: A Scalable Entity Alignment System. SIGIR 2023: 3175-3179 - [c3]Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao:
Unsupervised Entity Alignment for Temporal Knowledge Graphs. WWW 2023: 2528-2538 - [i6]Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao:
Unsupervised Entity Alignment for Temporal Knowledge Graphs. CoRR abs/2302.00796 (2023) - [i5]Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei:
SEA: A Scalable Entity Alignment System. CoRR abs/2304.07065 (2023) - [i4]Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao:
Real-time Workload Pattern Analysis for Large-scale Cloud Databases. CoRR abs/2307.02626 (2023) - [i3]Junyang Wu, Yun Gu:
Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images. CoRR abs/2309.07390 (2023) - 2022
- [c2]Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen:
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. KDD 2022: 421-431 - [c1]Junyang Wu, Rong Tao, Guoyan Zheng:
Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning. MICCAI (8) 2022: 421-430 - [i2]Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen:
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. CoRR abs/2205.10312 (2022) - [i1]Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Unleashing the Power of Visual Prompting At the Pixel Level. CoRR abs/2212.10556 (2022)
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