Journal Articles

• Yang Yang, Nan Jiang, Yi Xu, and De-Chuan Zhan. Robust Semi-supervised Learning by Wisely Leveraging Open-set Data. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024. (CCF-A类) [Paper]
• Lingwu Meng, Jing Wang, Ran Meng, Yang Yang, and Liang Xiao. A Multiscale Grouping Transformer with CLIP Latents for Remote Sensing Image Captioning. IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024. (CCF-B类) [Paper]
• Xin-Chun Li, Shaoming Song, Yinchuan Li, Bingshuai Li, Yunfeng Shao, Yang Yang*, and De-Chuan Zhan. MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2024. (CCF-A类) [Paper]
• Yang Yang, Jinyi Guo, Guangyu Li*, Lanyu Li*, Wenjie Li, and Jian Yang. Alignment Efficient Image-Sentence Retrieval Considering Transferable Cross-Modal Representation Learning. Frontiers of Computer Science (FCS), 2024, 18(3). (CCF-B类) [Paper]
• Yang Yang, Chubing Zhang, Xin Song, Zheng Dong, Hengshu Zhu*, and Wenjie Li*. Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation. ACM Transactions on Information Systems (TOIS), 2023, 42(2): 33:1-33:27. (CCF-A类) [Paper] [Code]
• Xin-Chun Li, Yang Yang*, and De-Chuan Zhan. MrTF: Model Refinery for Transductive Federated Learning. Data Mining and Knowledge Discovery (DMKD), 2023, 37(5): 2046-2069. (CCF-B类) [Paper]
• Yang Yang*, Ran Bao, Wei-Li Guo, De-Chuan Zhan, Yi-Long Yin, and Jian Yang. Deep Visual-Linguistic Fusion Network Considering Cross-Modal Inconsistency for Rumor Detection. Science China Information Sciences (SCIS), 2023, 66(12). (CCF-A类) [Paper] [Pytorch] [MindSpore]
• Yang Yang*, Hong-Chen Wei, Heng-Shu Zhu, Dian-Hai Yu, Hui Xiong, and Jian Yang. Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning. IEEE Transactions on Cybernetics (IEEE TCYB), 2024, 54(2): 890-902. (CCF-B类) [Paper] [Pytorch Code] [Paddle Code]
• Yang Yang*, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, and Jian Yang. Cost-Effective Incremental Deep Model: Matching Model Capacity with The Least Sampling. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 35(4): 3575-3588. (CCF-A类) [Paper]
• Yang Yang*, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, and Jian Yang. Learning Adaptive Embedding Considering Incremental Class. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023, 35(3): 2736-2749. (CCF-A类) [Paper] [Code]
• Da-Wei Zhou, Yang Yang*, and De-Chuan Zhan. Learning to Classify with Incremental New Class. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, 33(6): 2429-2443. (CCF-B类) [Paper]
• Yang Yang*, Hongchen Wei, Zhen-Qiang Sun, Guang-Yu Li, Yuanchun Zhou, Hui Xiong, Jian Yang. S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification. ACM Transactions on Knowledge Discovery from Data (TKDD), 2021, 16(2): 34:1-34:27. (CCF-B类) [Paper] [Code]
• 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), 2023, 35(1): 211-224. (CCF-A类) [Paper] [Code]
• Xiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li*, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren. HarMI: Human Activity Recognition via Multi-Modality Incremental Learning. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2022, 26(3): 939-951. (CCF-C类) [Paper]
• 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 (IEEE TKDE), 2021, 33(2): 682-695. (CCF-A类) [Paper]
• 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 (IEEE TKDE), 2021, 33(2): 696-709. (CCF-A类) [Paper]
• 杨杨, 詹德川*, 姜远, 熊辉. 可靠多模态学习综述. 软件学报, 2020, 32(4): 1067-1081. (CCF-A类) [Paper]

Conference Papers

• Xiangyu Wu, Qingyuan Jiang, Yifeng Wu, Qingguo Chen, Yang Yang*, and Jianfeng Lu. TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAL'24), Jeju Island, South Korea, 2024. (CCF-A类) [Paper] [Code] [Second Prize of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area (Huangpu) International Algorithm and Case Competition]
• Fengqiang Wan, Xiangyu Wu, Zhihao Guan, Yang Yang*. CoVLR: Coordinating Cross-Modal Consistency and Intra-Modal Relations for Vision-Language Retrieval. In: IEEE International Conference on Multimedia and Expo (ICME'24), Niagra Falls, Canada, 2024. (CCF-B类) [Paper] [Code]
• Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang*. Noise-Aware Image Captioning with Progressively Exploring Mismatched Words. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, BC, Canada, 2024. (CCF-A类) [Paper] [Code]
• Yang Yang, Yuxuan Zhang, Xin Song, Yi Xu*. Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning. In: Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS'23), New Orleans, LA, USA, 2023. pp. 13802-13818. (CCF-A) [Paper] [Code]
• Wenjuan Xi, Xin Song, Weili Guo*, Yang Yang*. Robust Semi-Supervised Learning for Self-learning Open-World Classes. In: IEEE International Conference on Data Mining (ICDM'23), Shanghai, China, 2023, pp. 658-667. (CCF-B类) [Paper] [Code]
• Jia-Qi Yang, Yu-Cheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan*, Yang Yang*. IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. In: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, USA, 2023, pp. 2930-2940. (CCF-A类) [Paper] [Code]
• Yucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Yang Yang*, Hui Xiong*. QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy Prediction. In: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, USA, 2023, pp. 1572-1582. (CCF-A类) [Paper]
• Yang Yang*, Yurui Huang, Weili Guo, Baohua Xu, Dingyin Xia. Towards Global Video Scene Segmentation with Context-Aware Transformer. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23) , Washington, DC, USA, 2023, pp. 3206-3213. (CCF-A类) [Paper] [Code]
• Yang Yang, Jingshuai Zhang, Fan Gao, Xiaoru Gao, Hengshu Zhu*. DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment. In: Proceedings of the 30th ACM International Conference on Multimedia (ACM MM'22) , Lisbon, Portugal, 2022, pp. 1612-1620. (CCF-A类) [Paper] [Pytorch Code] [Paddle Code]
• Rundong He, Zhongyi Han, Yang Yang, Yilong Yin*. Not All Parameters Should be Treated Equally: Deep Safe Semi-Supervised Learning under Class Distribution Mismatch. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI'22) , Vancouver, BC, Canada, 2022, pp. 6874-6883. (CCF-A类) [Paper]
• Yang Yang*, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang. Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Montreal, Canada, 2021, pp. 3300-3306. (CCF-A类) [Paper] [Supplementary] [Code]
• Da-Wei Zhou, Yang Yang, De-Chuan Zhan*. Detecting Sequentially Novel Classes with Stable Generalization Ability. In: Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21), Delhi, India, 2021, pp. 371-382. (CCF-C类) [Paper]
• Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong*. Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. In: Proceedings of International World Wide Web Conference (WWW'21), Ljubljana, Slovenia, 2021, pp. 1586-1597. (CCF-A类) [Paper]
• Farid Razzak, Fei Yi, Yang Yang, Hui Xiong*. An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction. In: Proceedings of the IEEE International Conference on Data Mining (ICDM'19), Beijing, China, 2019, pp. 1282-1287. (CCF-B类) [Paper]
• Neng-Jun Zhu, Jian Cao*, Yan-Chi Liu, Yang Yang, Hao-Chao Ying, Hui Xiong. Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. In: Proceedings of the International Conference on Web Search and Data Mining (WSDM'20), Melbourne, Australia, 2020, pp. 807-815, (CCF-B类) [Paper]
• Yang Yang, Da-Wei Zhou, De-Chuan Zhan*, Hui Xiong*, Yuan Jiang. Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. In: The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19) , Anchorage, Alaska, USA, 2019, pp. 74-82. (CCF-A类) [Paper] [Code]
• Yang Yang, Ke-Tao Wang, De-Chuan Zhan*, Hui Xiong, Yuan Jiang. Comprehensive Semi-Supervised Multi-Modal Learning. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19) , Macao, China, 2019, pp. 4092-4098. (CCF-A类) [Paper] [Pytorch Code] [Paddle Code] [MindSpore Code]
• Yang Yang, Yi-Feng Wu, De-Chuan Zhan*, Zhi-Bin Liu, Yuan Jiang. Deep Robust Unsupervised Multi-Modal Network. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19) , Honolulu, Hawaii, 2019, pp. 5652-5659. (CCF-A类) [Paper]
• Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan*. Learning Semantic Features for Software Defect Prediction by Code Comments Embedding. In: Proceedings of the IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018, pp. 1049-1054. (CCF-B类) [Paper]
• Yang Yang, Yi-Feng Wu, De-Chuan Zhan*, Yuan Jiang. Deep Multi-modal Learning with Cascade Consensus. In: Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI'18) , Nanjing, China, 2018m, pp. 64-72. (CCF-C类) [Paper]
• 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 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18) , London, UK, 2018, pp. 2594-2603. (CCF-A类) [Paper] [Code]
• Yang Yang, De-Chuan Zhan*, Xiang-Rong Sheng, Yuan Jiang. Semi-Supervised Multi-Modal Learning with Incomplete Modalities. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18) , Stockholm, Sweden, 2018, pp. 2998-3004. (CCF-A类) [Paper]
• Yang Yang, Yi-Feng Wu, De-Chuan Zhan*, Yuan Jiang. Multi-Network User Identification via Graph-Aware Embedding. In: Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18) , Melbourne, Australia, 2018, pp. 209-221. [Paper]
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• Yang Yang, De-Chuan Zhan*, Ying Fan, and Yuan Jiang. Instance Specific Discriminative Modal Pursuit: A Serialized Approach. In: Proceedings of the 9th Asian Conference on Machine Learning (ACML'17) , Seoul, Korea, 2017, pp. 65-80. (CCF-C类) [Best Paper] [Paper] [Code]
• Yang Yang, De-Chuan Zhan*, Xiang-Yu Guo, and Yuan Jiang. Modal Consistency based Pre-trained Multi-Model Reuse. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17) , Melbourne, Australia, 2017, pp. 2831-2837. (CCF-A类) [Paper]
• Yang Yang, De-Chuan Zhan*, Yin Fan, Yuan Jiang, and Zhi-Hua Zhou. Deep Learning for Fixed Model Reuse. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), San Francisco, CA, USA, 2017, pp. 2831-2837. (CCF-A类) [Paper] [Code]
• Yang Yang, De-Chuan Zhan* and Yuan Jiang. Learning by Actively Querying Strong Modal Features. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), New York, NY, USA, 2016, pp. 1033-1039. (CCF-A类) [Paper]
• Yang Yang, Han-Jia Ye, De-Chuan Zhan* and Yuan Jiang. Auxiliary Information Regularized Machine for Multiple Modality Feature Learning. In: Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), Buenos Aires, Argentina, 2015, pp. 1033-1039. (CCF-A类) [Paper]