| 2024 | SDM | Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. | Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang |
| 2022 | WWW | Intent Contrastive Learning for Sequential Recommendation. | Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong |
| 2022 | SIGIR | ELECRec: Training Sequential Recommenders as Discriminators. | Yongjun Chen, Jia Li, Caiming Xiong |
| 2019 | AAAI | Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods. | Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji |
| 2019 | IJCAI | Dense Transformer Networks for Brain Electron Microscopy Image Segmentation. | Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji |
| 2019 | WWW | Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations. | Hongyang Gao, Yongjun Chen, Shuiwang Ji |
| 2018 | ECCV | Transferable Adversarial Perturbations. | Wen Zhou, Xin Hou, Yongjun Chen, Mengyun Tang, Xiangqi Huang, Xiang Gan, Yong Yang |
| 2018 | KDD | Voxel Deconvolutional Networks for 3D Brain Image Labeling. | Yongjun Chen, Hongyang Gao, Lei Cai, Min Shi, Dinggang Shen, Shuiwang Ji |