ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities. - Yunjun Gao; Xiaoze Liu; Junyang Wu; Tianyi Li 005; Pengfei Wang; Lu Chen 001 (KDD, 2022)

Nonlinear Regression of Remaining Surgical Duration via Bayesian LSTM-Based Deep Negative Correlation Learning. - Junyang Wu; Rong Tao; Guoyan Zheng (MICCAI (8), 2022)

SEA: A Scalable Entity Alignment System. - Junyang Wu; Tianyi Li 005; Lu Chen 001; Yunjun Gao; Ziheng Wei (SIGIR, 2023)

Unsupervised Entity Alignment for Temporal Knowledge Graphs. - Xiaoze Liu; Junyang Wu; Tianyi Li 005; Lu Chen 001; Yunjun Gao (WWW, 2023)

Unleashing the Power of Depth and Pose Estimation Neural Networks by Designing Compatible Endoscopic Images. - Junyang Wu; Yun Gu (CoRR, 2023)

Real-time Workload Pattern Analysis for Large-scale Cloud Databases. - Jiaqi Wang 008; Tianyi Li 005; Anni Wang; Xiaoze Liu; Lu Chen 001; Jie Chen; Jianye Liu; Junyang Wu; Feifei Li 001; Yunjun Gao (Proc. VLDB Endow., 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., 2023)

Efficient Domain Adaptation for Endoscopic Visual Odometry. - Junyang Wu; Yun Gu; Guang-Zhong Yang (CoRR, 2024)

Unleashing the Power of Visual Prompting At the Pixel Level. - Junyang Wu; Xianhang Li; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (Trans. Mach. Learn. Res., 2024)

Deep Learning Approaches for Multimodal Intent Recognition: A Survey. - Jingwei Zhao; Yuhua Wen; Qifei Li; Minchi Hu; Yingying Zhou; Jingyao Xue; Junyang Wu; Yingming Gao; Zhengqi Wen; Jianhua Tao 001; Ya Li 001 (CoRR, 2025)