Jinliang Deng

According to our database, Jinliang Deng authored at least 15 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization.

Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song

ACM Trans. Knowl. Discov. Data, January, 2024

The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting.

Jinliang Deng, Xuan Song, Ivor W. Tsang, Hui Xiong

CoRR, 2024

2023

A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

IEEE Trans. Knowl. Data Eng., August, 2023

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.

Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song

World Wide Web (WWW), July, 2023

Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting.

Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song

CoRR, 2023

STAEformer: 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

CoRR, 2023

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang

CoRR, 2023

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.

Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning.

Lei Liu, Sinan Wang, Yepang Liu, Jinliang Deng, Sicen Liu

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting.

Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.

Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang

ACM Trans. Knowl. Discov. Data, 2021

ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.

Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021