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Fangqi Zhu
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2020 – today
- 2024
- [i4]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. CoRR abs/2403.08377 (2024) - [i3]Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, Tao Kong:
IRASim: Learning Interactive Real-Robot Action Simulators. CoRR abs/2406.14540 (2024) - 2023
- [j11]Yunfei Zhang
, Fangqi Zhu, Qiuping Li
Exploring Spatiotemporal Patterns of Expressway Traffic Accidents Based on Density Clustering and Bayesian Network. ISPRS Int. J. Geo Inf. 12(2): 73 (2023) - [j10]Qin Tang
A comparative review on multi-modal sensors fusion based on deep learning. Signal Process. 213: 109165 (2023) - [j9]Qin Tang
Multisensors Fusion for Trajectory Tracking Based on Variational Normalizing Flow. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [c10]Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu:
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. AAAI 2023: 14056-14064 - [c9]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. ACL (Findings) 2023: 12630-12641 - [c8]Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu:
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions. EMNLP 2023: 14855-14870 - [i2]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. CoRR abs/2305.17458 (2023) - 2022
- [j8]Fangqi Zhu
Rethink of Orthographic Constraints on RNN and Its Application in Acoustic Sensor Data Modeling. IEEE Internet Things J. 9(3): 1962-1975 (2022) - [i1]Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu:
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning. CoRR abs/2212.03496 (2022) - 2020
- [j7]Fangqi Zhu, Qilian Liang:
OCRNN: An orthogonal constrained recurrent neural network for sleep analysis based on EEG data. Ad Hoc Networks 104: 102178 (2020)
2010 – 2019
- 2019
- [j6]Junjie Chen
Information Theoretic Bounds for Sparse Reconstruction in Random Noise. IEEE Access 7: 102304-102312 (2019) - [c7]Qin Tang, Fangqi Zhu, Jing Liang:
Interactive Multi-model Tracking of a Highly Maneuvering Target using MSPDAF with Least Squares Virtual Fusion. GlobalSIP 2019: 1-5 - 2018
- [j5]Kuo Liao
Radar HRRP Target Recognition Based on Concatenated Deep Neural Networks. IEEE Access 6: 29211-29218 (2018) - [j4]Jing Liang, Fangqi Zhu
Soil Moisture Retrieval From UWB Sensor Data by Leveraging Fuzzy Logic. IEEE Access 6: 29846-29857 (2018) - [c6]Tiantian Wang, Fangqi Zhu, Jing Liang:
Soil pH Classification Based on LSTM via UWB Radar Echoes. CSPS (2) 2018: 762-769 - [c5]Fangqi Zhu, Qilian Liang, Zhen Zhong:
Sequential Modeling for Polyps Identification from the Vocal Data. CSPS (2) 2018: 945-954 - 2017
- [j3]Na Wu
Evaluating Spatial Resolution and Channel Capacity of Sparse Cylindrical Arrays for Massive MIMO. IEEE Access 5: 23994-24003 (2017) - [j2]Fangqi Zhu, Na Wu, Qilian Liang:
Channel estimation for massive MIMO with 2-D nested array deployment. Phys. Commun. 25: 432-437 (2017) - 2016
- [c4]Yaoyue Hu, Fangqi Zhu, Jing Liang, Guodong Zhao
Clustering in multi-hop radar sensor networks using fuzzy logic. INFOCOM Workshops 2016: 886-890 - 2015
- [c3]Fangqi Zhu, Huaiyuan Liu, Jing Liang
Soil moisture retrieval using fuzzy logic based on UWB signals. WCSP 2015: 1-5 - 2014
- [j1]Jing Liang
Fuzzy logic classifier design for air targets recognition based on HRRP. Phys. Commun. 13: 205-210 (2014) - [c2]Miao Liu, Fangqi Zhu, Jing Liang
Channel modeling based on ultra-wide bandwidth(UWB) radar in soil environment with different pH values. WCSP 2014: 1-6 - [c1]Fangqi Zhu, Jing Liang
Air targets recognition using a fuzzy logic approach. WCSP 2014: 1-6
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last updated on 2024-11-18 21:44 CET by the dblp team
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