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Tangpeng Dan
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2020 – today
- 2024
- [c7]Yingtao Peng, Tangpeng Dan, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng:
KMIC: A Knowledge-Aware Recommendation with Multivariate Intentions Contrastive Learning. APWeb/WAIM (2) 2024: 82-98 - [c6]Tangpeng Dan, Xiao Pan, Yingtao Peng, Haojie Wei, Xiaofeng Meng:
MIPM: A Multidimensional Information Perception Model for Estimating Time of Arrival on Real Road Networks. DASFAA (1) 2024: 70-85 - [c5]Haojie Wei, Xueke Cao, Wenbo Xu, Tangpeng Dan, Yueguo Chen:
DJCM: A Deep Joint Cascade Model for Singing Voice Separation and Vocal Pitch Estimation. ICASSP 2024: 301-305 - [i2]Haojie Wei, Xueke Cao, Wenbo Xu, Tangpeng Dan, Yueguo Chen:
DJCM: A Deep Joint Cascade Model for Singing Voice Separation and Vocal Pitch Estimation. CoRR abs/2401.03856 (2024) - 2023
- [c4]Tangpeng Dan, Xiao Pan, Bolong Zheng, Xiaofeng Meng:
Double Hierarchical Labeling Shortest Distance Querying in Time-dependent Road Networks. ICDE 2023: 2077-2089 - [c3]Haojie Wei, Xueke Cao, Tangpeng Dan, Yueguo Chen:
RMVPE: A Robust Model for Vocal Pitch Estimation in Polyphonic Music. INTERSPEECH 2023: 5421-5425 - [i1]Haojie Wei, Xueke Cao, Tangpeng Dan, Yueguo Chen:
RMVPE: A Robust Model for Vocal Pitch Estimation in Polyphonic Music. CoRR abs/2306.15412 (2023) - 2022
- [j2]Tangpeng Dan, Changyin Luo, Yanhong Li, Zhong Guan, Xiaofeng Meng:
LG-Tree: An Efficient Labeled Index for Shortest Distance Search on Massive Road Networks. IEEE Trans. Intell. Transp. Syst. 23(12): 23721-23735 (2022) - 2021
- [j1]Changyin Luo, Tangpeng Dan, Yanhong Li, Xiaofeng Meng, Guohui Li:
Why-not questions about spatial temporal top-k trajectory similarity search. Knowl. Based Syst. 231: 107407 (2021)
2010 – 2019
- 2019
- [c2]Tangpeng Dan, Changyin Luo, Yanhong Li, Bolong Zheng, Guohui Li:
Spatial Temporal Trajectory Similarity Join. APWeb/WAIM (2) 2019: 251-259 - [c1]Tangpeng Dan, Changyin Luo, Yanhong Li, Chenyuan Zhang:
Trajectory Similarity Join for Spatial Temporal Database. DEXA (2) 2019: 306-321
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last updated on 2024-10-10 22:17 CEST by the dblp team
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