Jinliang Deng - RankMe

34 papers A* 7A 4Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space. CoRR Lehui Li, Yuyao Wang, Jisheng Yan, Wei Zhang, Jinliang Deng, Haoliang Sun, Zhongyi Han, Yongshun Gong
2025	A*	`conf`	Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering. ICDE Yiming Niu, Jinliang Deng, Lulu Zhang, Zimu Zhou, Yongxin Tong
2025	J	`jnl`	Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering. CoRR Yiming Niu, Jinliang Deng, Lulu Zhang, Zimu Zhou, Yongxin Tong
2025	—	`conf`	AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. KDD (1) Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu
2025	A*	`conf`	CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning. IJCAI Min Yang, Yang An, Jinliang Deng, Xiaoyu Li, Bin Xu, Ji Zhong, Xiankai Lu, Yongshun Gong
2025	J	`jnl`	FANformer: Improving Large Language Models Through Effective Periodicity Modeling. CoRR Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei
2025	J	`jnl`	PhaseFormer: From Patches to Phases for Efficient and Effective Time Series Forecasting. CoRR Yiming Niu, Jinliang Deng, Yongxin Tong
2024	J	`jnl`	AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. CoRR Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu
2024	J	`jnl`	Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2024	—	`conf`	Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. SIGSPATIAL/GIS Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024	J	`jnl`	Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024	A*	`conf`	Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. KDD Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
2024	J	`jnl`	Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. CoRR Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
2024	A*	`conf`	Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting. NeurIPS Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong
2024	A*	`conf`	Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. IJCAI Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song
2024	J	`jnl`	TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. ACM Trans. Knowl. Discov. Data Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song
2024	J	`jnl`	The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting. CoRR Jinliang Deng, Xuan Song, Ivor W. Tsang, Hui Xiong
2023	J	`jnl`	A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2023	—	`conf`	Drift: Fine-Grained Prediction of the Co-Evolution of Production and Test Code via Machine Learning. Internetware Lei Liu, Sinan Wang, Yepang Liu, Jinliang Deng, Sicen Liu
2023	A	`conf`	Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. SDM Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023	J	`jnl`	Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. CoRR Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang
2023	J	`jnl`	HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation. World Wide Web (WWW) Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song
2023	A*	`conf`	Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. IJCAI Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
2023	J	`jnl`	Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. CoRR Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
2023	J	`jnl`	Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. CoRR Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2023	J	`jnl`	STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. CoRR Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song
2023	A	`conf`	Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. CIKM Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song
2023	J	`jnl`	Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting. CoRR Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song
2022	A	`conf`	Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility. CIKM Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song
2021	J	`jnl`	A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. CoRR Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021	A	`conf`	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CIKM Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
2021	J	`jnl`	DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. CoRR Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
2021	A*	`conf`	ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. KDD Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021	J	`jnl`	The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. ACM Trans. Knowl. Discov. Data Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang