| 2025 | ICDE | Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering. | Yiming Niu, Jinliang Deng, Lulu Zhang, Zimu Zhou, Yongxin Tong |
| 2025 | IJCAI | CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning. | Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong |
| 2025 | KDD | AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. | Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu |
| 2024 | IJCAI | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. | Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song |
| 2024 | KDD | Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. | Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song |
| 2023 | CIKM | Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. | Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song |
| 2023 | IJCAI | Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. | Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song |
| 2023 | SDM | Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. | Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang |
| 2022 | CIKM | Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. | Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song |
| 2021 | CIKM | DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. | Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki |
| 2021 | KDD | ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. | Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang |