Junchen Ye

34 papers A* 9A 1Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction.
AAAI
Tao Zou, Chengfeng Wu, Tianxi Liao, Junchen Ye, Bowen Du
2026 — conf
Incident-Guided Spatiotemporal Traffic Forecasting.
KDD (1)
Lixiang Fan, Bohao Li, Tao Zou, Junchen Ye, Bowen Du
2026 J jnl
Incident-Guided Spatiotemporal Traffic Forecasting.
CoRR
Lixiang Fan, Bohao Li, Tao Zou, Bowen Du, Junchen Ye
2026 J jnl
Learning multimodal representations for incomplete EHRs with retrieval-augmented personalized modality recovery.
Inf. Fusion
Bohao Li, Bowen Du, Junchen Ye
2026 A conf
RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems.
WSDM
Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye, Bowen Du
2026 A* conf
UNO! UNified Offline Training Paradigm for Learning Path Recommendation.
AAAI
Linzhi Peng, Wentao Zhu, Ke Cheng, Heng Chang, Junchen Ye, Bowen Du, Weifeng Lv
2025 J jnl
Evolving graph structure learning for multivariate time series forecasting.
Knowl. Based Syst.
Junchen Ye, Qian Liu, Zihan Liu, Weimiao Li, Tongyu Zhu, Leilei Sun, Bowen Du
2025 J jnl
Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction.
CoRR
Tao Zou, Chengfeng Wu, Tianxi Liao, Junchen Ye, Bowen Du
2025 — conf
On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction.
KDD (2)
Ke Cheng, Linzhi Peng, Pengyang Wang, Heng Chang, Junchen Ye, Bowen Du
2025 J jnl
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records.
ACM Trans. Knowl. Discov. Data
Bohao Li, Bowen Du, Junchen Ye
2025 J jnl
TS-MAE: A masked autoencoder for time series representation learning.
Inf. Sci.
Qian Liu, Junchen Ye, Haohan Liang, Leilei Sun, Bowen Du
2025 J jnl
Text-Enhanced Panoptic Symbol Spotting in CAD Drawings.
CoRR
Xianlin Liu, Yan Gong, Bohao Li, Jiajing Huang, Bowen Du, Junchen Ye, Liyan Xu
2024 J jnl
Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification.
ACM Trans. Inf. Syst.
Tao Zou, Le Yu, Junchen Ye, Leilei Sun, Bowen Du, Deqing Wang
2024 A* conf
An NCDE-based Framework for Universal Representation Learning of Time Series.
IJCAI
Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun
2024 A* conf
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction.
KDD
Ke Cheng, Linzhi Peng, Junchen Ye, Leilei Sun, Bowen Du
2024 J jnl
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction.
CoRR
Ke Cheng, Linzhi Peng, Junchen Ye, Leilei Sun, Bowen Du
2024 A* conf
DyGKT: Dynamic Graph Learning for Knowledge Tracing.
KDD
Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
2024 J jnl
DyGKT: Dynamic Graph Learning for Knowledge Tracing.
CoRR
Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
2024 J jnl
Dynamic Graph Representation Learning for Passenger Behavior Prediction.
CoRR
Mingxuan Xie, Tao Zou, Junchen Ye, Bowen Du, Runhe Huang
2024 J jnl
Dynamic Graph Representation Learning for Passenger Behavior Prediction.
Future Internet
Mingxuan Xie, Tao Zou, Junchen Ye, Bowen Du, Runhe Huang
2024 J jnl
Learning solid dynamics with graph neural network.
Inf. Sci.
Bohao Li, Bowen Du, Junchen Ye, Jiajing Huang, Leilei Sun, Jinyan Feng
2024 J jnl
MvTS-library: An open library for deep multivariate time series forecasting.
Knowl. Based Syst.
Junchen Ye, Weimiao Li, Zhixin Zhang, Tongyu Zhu, Leilei Sun, Bowen Du
2024 A* conf
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.
KDD
Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du
2024 J jnl
Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.
CoRR
Tao Zou, Yuhao Mao, Junchen Ye, Bowen Du
2024 J jnl
Temporal Graph Network for continuous-time dynamic event sequence.
Knowl. Based Syst.
Ke Cheng, Junchen Ye, Xiaodong Lu, Leilei Sun, Bowen Du
2023 J jnl
Deep multi-task learning with flexible and compact architecture search.
Int. J. Data Sci. Anal.
Jiejie Zhao, Weifeng Lv, Bowen Du, Junchen Ye, Leilei Sun, Guixi Xiong
2023 J jnl
GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set.
IEEE Trans. Knowl. Data Eng.
Bowen Du, Xuanxuan Sun, Junchen Ye, Ke Cheng, Jingyuan Wang, Leilei Sun
2023 J jnl
Spatio-Temporal AutoEncoder for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst.
Mingzhe Liu, Tongyu Zhu, Junchen Ye, Qingxin Meng, Leilei Sun, Bowen Du
2022 A* conf
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting.
KDD
Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong
2022 J jnl
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting.
CoRR
Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong
2021 J jnl
Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data.
CoRR
Xuyan Tan, Yuhang Wang, Bowen Du, Junchen Ye, Weizhong Chen, Leilei Sun, Liping Li
2021 A* conf
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.
AAAI
Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong
2020 J jnl
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction.
CoRR
Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong
2019 A* conf
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network.
KDD
Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong