Xing B, Ying X, Wang R. Rectifying self-training with neighborhood consistency and proximity for source-free domain adaptation. Neurocomputing [Internet]. 2024;606:128425. 访问链接

Yang J, Ying X, Shi Y, Xing B. Tensor decompositions for temporal knowledge graph completion with time perspective. Expert Syst. Appl. [Internet]. 2024;237:121267. 访问链接

Xing B, Ying X, Wang R. Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation, in IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024. IEEE; 2024:418–424. 访问链接

Yue W, Ying X, Guo R, Chen DD, Shi J, Xing B, Zhu Y, Chen T. Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods, in Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024. ijcai.org; 2024:2524–2532. 访问链接

Guo R, Qu L, Niu D, Qi Y, Yue W, Shi J, Xing B, Ying X. Open-Vocabulary Audio-Visual Semantic Segmentation, in Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024. ACM; 2024:7533–7541. 访问链接

Guo R, Niu D, Qu L, Qi Y, Shi J, Yue W, Xing B, Chen T, Ying X. Instance-Level Panoramic Audio-Visual Saliency Detection and Ranking, in Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024. ACM; 2024:9426–9434. 访问链接

Wang Q, Wang Y, Wang Y, Ying X. Dissecting the Failure of Invariant Learning on Graphs, in Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.; 2024. 访问链接

Xing B, Ying X, Wang R, Guo R, Shi J, Yue W. Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation, in Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part L.Vol 15108. Springer; 2024:393–409. 访问链接

Chen T, Ying X, Yang J, Wang R, Guo R, Xing B, Shi J. VPDETR: End-to-End Vanishing Point DEtection TRansformers, in Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-. AAAI Press; 2024:1192–1200. 访问链接

Xing B, Ying X, Wang R. Masked local-global representation learning for 3d point cloud domain adaptation, in IEEE International Conference on Robotics and Automation. IEEE; 2024:418–424.

Guo R, Ying X, Qi Y, Qu L. UniTR: A unified transformer-based framework for co-object and multi-modal saliency detection. IEEE Transactions on Multimedia. 2024.