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2020 – today
- 2024
[j5]Zongyuan Huang
, Baohua Zhang, Guoqiang Hu, Longyuan Li, Yanyan Xu, Yaohui Jin:
Enhancing Unsupervised Anomaly Detection With Score-Guided Network. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14754-14769 (2024)- 2023
- [j4]Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang:
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. IEEE Trans. Knowl. Data Eng. 35(6): 6058-6072 (2023) - [j3]Longyuan Li, Junchi Yan, Yunhao Zhang, Jihai Zhang, Jie Bao, Yaohui Jin, Xiaokang Yang:
Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. IEEE Trans. Knowl. Data Eng. 35(7): 7118-7137 (2023) - 2021
- [j2]Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1177-1191 (2021) - [c5]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. AAAI 2021: 8420-8428 - [c4]Longyuan Li, Jian Yao, Li K. Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang:
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS 2021: 27107-27118 - [i5]Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. CoRR abs/2102.00397 (2021) - [i4]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. CoRR abs/2102.00431 (2021) - [i3]Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin:
Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder. CoRR abs/2102.01331 (2021) - [i2]Zongyuan Huang, Baohua Zhang, Guoqiang Hu, Longyuan Li, Yanyan Xu, Yaohui Jin:
Enhancing Unsupervised Anomaly Detection with Score-Guided Network. CoRR abs/2109.04684 (2021)
2010 – 2019
- 2019
- [j1]Haiyang Wang, Longyuan Li, Pingjun Pan, Yongkun Wang, Yaohui Jin:
Online detection of abnormal passenger out-flow in urban metro system. Neurocomputing 359: 327-340 (2019) - [c3]Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. IJCAI 2019: 2901-2908 - [c2]Zhili Xiong, Longyuan Li, Junchi Yan, Haiyang Wang, Hao He, Yaohui Jin:
Differential Privacy with Variant-Noise for Gaussian Processes Classification. PRICAI (3) 2019: 107-119 - [i1]Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang:
Decoding Spiking Mechanism with Dynamic Learning on Neuron Population. CoRR abs/1911.09309 (2019) - 2018
- [c1]Pingjun Pan, Haiyang Wang, Longyuan Li, Yongkun Wang, Yaohui Jin:
Peak-Hour Subway Passenger Flow Forecasting: A Tensor Based Approach. ITSC 2018: 3730-3735
Coauthor Index
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