| 2025 | ICCV | PanoLlama: Generating Endless and Coherent Panoramas with Next-Token-Prediction LLMs. | Teng Zhou, Xiaoyu Zhang, Yongchuan Tang |
| 2024 | ECAI | TwinDiffusion: Enhancing Coherence and Efficiency in Panoramic Image Generation with Diffusion Models. | Teng Zhou, Yongchuan Tang |
| 2022 | SMC | A new generation method of basic probability assignment based on the normal membership function. | Yun Fu, Yongchuan Tang, Deyun Zhou |
| 2022 | SMC | A novel conflict measurement method based on cosine similarity and Deng entropy in Dempster-Shafer evidence theory. | Xu Zhang, Yongchuan Tang, Deyun Zhou |
| 2022 | SMC | A new correlation belief transfer method in the evidence theory. | Xu Zhang, Yongchuan Tang, Deyun Zhou |
| 2021 | ICCV | Image Synthesis from Layout with Locality-Aware Mask Adaption. | Zejian Li, Jingyu Wu, Immanuel Koh, Yongchuan Tang, Lingyun Sun |
| 2021 | SMC | An adaptive coordinator for multi-variable controller via dynamic belief assignment. | Yongchuan Tang |
| 2021 | SMC | A new evidence reliability coefficient for conflict data fusion and its application in classification. | Shuaihong Wu, Yongchuan Tang |
| 2020 | AAAI | FET-GAN: Font and Effect Transfer via K-shot Adaptive Instance Normalization. | Wei Li, Yongxing He, Yanwei Qi, Zejian Li, Yongchuan Tang |
| 2019 | AAAI | Learning Disentangled Representation with Pairwise Independence. | Zejian Li, Yongchuan Tang, Wei Li, Yongxing He |
| 2018 | FUSION | Extending Deng Entropy to the Open World in the Evidence Theory. | Yongchuan Tang, Deyun Zhou, Felix T. S. Chan |
| 2018 | IJCAI | Unsupervised Disentangled Representation Learning with Analogical Relations. | Zejian Li, Yongchuan Tang, Yongxing He |
| 2017 | FUSION | Weighted deng entropy and its application in uncertainty measure. | Yongchuan Tang, Xueyi Fang, Deyun Zhou, Xiaofeng Lv |
| 2007 | ICNC | Updating Probabilistic Knowledge Using Imprecise and Uncertain Evidence. | Hexin Lv, Ning Qiu, Yongchuan Tang |
| 2007 | IFSA | Fuzzy Classifier with Probabilistic IF-THEN Rules. | Hexin Lv, Bin Zhu, Yongchuan Tang |
| 2007 | IFSA | Conditional Dempster-Shafer Theory for Uncertain Knowledge Updating. | Hexin Lv, Bin Zhu, Yongchuan Tang |
| 2005 | APWEB | Fuzzy Inference System with Probability Factor and Its Application in Data Mining. | Jiacheng Zheng, Yongchuan Tang |
| 2005 | IWINAC | One Generalization of the Naive Bayes to Fuzzy Sets and the Design of the Fuzzy Naive Bayes Classifier. | Jiacheng Zheng, Yongchuan Tang |
| 2004 | APWEB | An Incremental Updating Method for Support Vector Machines. | Yangguang Liu, Qi Chen, Yongchuan Tang, Qinming He |
| 2004 | APWEB | Conditional Evidence Theory and Its Application in Knowledge Discovery. | Yongchuan Tang, Shouqian Sun, Yangguang Liu |
| 2004 | SMC | Support vector pursuit learning. | Yangguang Liu, Qinming He, Yongchuan Tang |
| 2004 | SMC | Belief measures conditioned on random set. | Yongchuan Tang, Jiacheng Zheng, Yangguang Liu, Shouqian Sun |
| 2003 | SMC | Multilayered fuzzy clustering method based on distance and density. | Xiaoping Qiu, Dan Meng, Yongchuan Tang, Yang Xu |
| 2001 | SMC | Local relations hold reasoning. | Wuming Pan, Yongchuan Tang, Yang Xu, Keyun Qin |
| 2001 | SMC | Local relation mapping theory of fuzzy reasoning. | Wuming Pan, Yongchuan Tang, Yang Xu, Keyun Qin |
| 2000 | SMC | The driven genetic selection mechanism. | Yongchuan Tang, Tianmin Huang |