Selected Publications:
Yang Yang, Chubing Zhang, Xin Song, Zheng Dong, Hengshu Zhu, Wenjie Li. Contextualized Knowledge Graph
Embedding for Explainable Talent Training Course Recommendation. (ACM TOIS), 2023. (CCF-A)
Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang. Cost-Effective Incremental Deep Model: Matching Model Capacity with The Least Sampling. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022. (CCF-A)
Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang. Learning Adaptive Embedding Considering Incremental Class. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021. (CCF-A)
Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiao-Ru Gao, Hui Xiong, Jian Yang. Corporate Relative Valuation using Heterogeneous Multi-Modal Graph Neural Network. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021. (CCF-A).
Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Zhi-Bin Liu, Hui Xiong, and Yuan Jiang. Semi-Supervised Multi-Modal Clustering and Classification with Incomplete Modalities. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF-A)
Yang Yang, Zhao-Yang Fu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang. Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF-A)
Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang. Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. Proceedings of the 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019. (CCF-A)
Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang. Complex Object Classification: A Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport. In: Proceedings of the Annual Conference on ACM SIGKDD (KDD). 2018. (CCF-A)
Yang Yang, De-Chuan Zhan, Ying Fan, and Yuan Jiang. Instance Specific Discriminative Modal Pursuit: A Serialized Approach. Proceedings of the 9th Asian Conference on Machine Learning (ACML). 2017. (CCF-C) Best Paper