Jinliang Deng

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Learning Models

Spatial And Temporal

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora Salim
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR (2024)
Jinliang Deng, Xuan Song, Ivor W. Tsang, Hui Xiong
The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting. CoRR (2024)
Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. KDD (2024)
Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. CoRR (2024)
Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song
TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation. World Wide Web (WWW) 26 (4) (2023)
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. CoRR (2023)
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. CoRR (2023)
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. IJCAI (2023)
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. CIKM (2023)
Lei Liu, Sinan Wang, Yepang Liu, Jinliang Deng, Sicen Liu
Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning. Internetware (2023)
Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Xuan Song
Spatio-Temporal-Decoupled Masked Pre-training for Traffic Forecasting. CoRR (2023)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. CoRR (2023)
Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. SDM (2023)
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. CoRR (2023)
Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. CIKM (2022)
Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CIKM (2021)
Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CoRR (2021)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. CoRR (2021)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. KDD (2021)