Junyang Wu

According to our database, Junyang Wu authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unleashing the Power of Visual Prompting At the Pixel Level.

Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie

Trans. Mach. Learn. Res., 2024

From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images.

Junyang Wu, Fangfang Xie, Jiayuan Sun, Yun Gu, Guang-Zhong Yang

CoRR, 2024

Efficient Domain Adaptation for Endoscopic Visual Odometry.

Junyang Wu, Yun Gu, Guang-Zhong Yang

CoRR, 2024

2023

Nonlinear regression of remaining surgery duration from videos via Bayesian LSTM-based deep negative correlation learning.

Junyang Wu, Xiaoyang Zou, Rong Tao, Guoyan Zheng

Comput. Medical Imaging Graph., December, 2023

Real-time Workload Pattern Analysis for Large-scale Cloud Databases.

Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao

Proc. VLDB Endow., 2023

Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images.

Junyang Wu, Yun Gu

CoRR, 2023

Unsupervised Entity Alignment for Temporal Knowledge Graphs.

Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao

Proceedings of the ACM Web Conference 2023, 2023

SEA: A Scalable Entity Alignment System.

Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning.

Junyang Wu, Rong Tao, Guoyan Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities.

Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022