| 2026 | AAAI | UNO! UNified Offline Training Paradigm for Learning Path Recommendation. | Linzhi Peng, Wentao Zhu, Ke Cheng, Heng Chang, Junchen Ye, Bowen Du, Weifeng Lv |
| 2026 | AAAI | Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction. | Tao Zou, Chengfeng Wu, Tianxi Liao, Junchen Ye, Bowen Du |
| 2026 | KDD | Incident-Guided Spatiotemporal Traffic Forecasting. | Lixiang Fan, Bohao Li, Tao Zou, Junchen Ye, Bowen Du |
| 2026 | WSDM | RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems. | Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye, Bowen Du |
| 2025 | KDD | On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction. | Ke Cheng, Linzhi Peng, Pengyang Wang, Heng Chang, Junchen Ye, Bowen Du |
| 2024 | IJCAI | An NCDE-based Framework for Universal Representation Learning of Time Series. | Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun |
| 2024 | KDD | Repeat-Aware Neighbor Sampling for Dynamic Graph Learning. | Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du |
| 2024 | KDD | DyGKT: Dynamic Graph Learning for Knowledge Tracing. | Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du |
| 2024 | KDD | Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction. | Ke Cheng, Linzhi Peng, Junchen Ye, Leilei Sun, Bowen Du |
| 2022 | KDD | Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting. | Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong |
| 2021 | AAAI | Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. | Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong |
| 2019 | KDD | Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network. | Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong |