研究方向是面向开放环境下大数据的自主学习，包括基于复杂多模态数据的稳健学习和基于动态演化数据的可适增量学习，以应对开放环境中大数据存在的“表示异构”、“生成快速”、“价值密度低”等挑战。论文发表于TKDE，TCYB，TNNLS，KDD，MM，IJCAI，AAAI 等计算机国际顶级期刊和会议40余篇。
Selected Publications:
Yang Yang, Yuxuan Zhang, Xin Song, Yi Xu. Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning. NeurIPS, 2023. (CCF-A)
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
开源项目：
• 多模态学习算法库: https://github.com/njustkmg/OMML，受邀入驻百度开发者社区、木兰社区