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Ziyan Feng
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 8
Top Topics
Concept Detection
Capacity Allocation
Passenger Flow
Visual Exploration
Top Venues
Bioinform.
MICRO
Briefings Bioinform.
Int. J. Prod. Res.
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Publications
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Ziyan Feng
,
Xiang Li
,
Jianjun Wu
,
Ximing Chang
Transport capacity optimization for high-speed rail network considering flexible train composition and additional capacity pool.
Inf. Sci.
680 (2024)
Ziyan Feng
,
Chengxuan Cao
,
Alireza Mostafizi
,
Haizhong Wang
,
Ximing Chang
Uncertain demand based integrated optimisation for train timetabling and coupling on the high-speed rail network.
Int. J. Prod. Res.
61 (5) (2023)
Ziyan Feng
,
Zihao Shen
,
Honglin Li
,
Shiliang Li
e-TSN: an interactive visual exploration platform for target-disease knowledge mapping from literature.
Briefings Bioinform.
23 (6) (2022)
Ximing Chang
,
Ziyan Feng
,
Jianjun Wu
,
Huijun Sun
,
Guang Wang
,
Xu Bao
Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach.
IEEE Intell. Transp. Syst. Mag.
14 (4) (2022)
Shun Liu
,
Jianchao Zhou
,
Ziyan Feng
,
Jiawen Zhang
,
Shuang Li
,
Zilong Jin
,
Chenfei Zhang
,
Shiliang Li
,
Gaoqi He
,
Honglin Li
VRPharmer: bringing virtual reality into pharmacophore-based virtual screening with interactive exploration and realistic visualization.
Bioinform.
38 (21) (2022)
Chengxuan Cao
,
Ziyan Feng
Optimal capacity allocation under random passenger demands in the high-speed rail network.
Eng. Appl. Artif. Intell.
88 (2020)
Vikram Sharma Mailthody
,
Zaid Qureshi
,
Weixin Liang
,
Ziyan Feng
,
Simon Garcia De Gonzalo
,
Youjie Li
,
Hubertus Franke
,
Jinjun Xiong
,
Jian Huang
,
Wen-Mei Hwu
DeepStore: In-Storage Acceleration for Intelligent Queries.
MICRO
(2019)
Miguel Francisco M. Remolona
,
Matthew F. Conway
,
Sriram Balasubramanian
,
Linxi Fan
,
Ziyan Feng
,
Tianhao Gu
,
Hyungtae Kim
,
Prasad M. Nirantar
,
Sarah Panda
,
Nithin R. Ranabothu
,
Neha Rastogi
,
Venkat Venkatasubramanian
Hybrid ontology-learning materials engineering system for pharmaceutical products: Multi-label entity recognition and concept detection.
Comput. Chem. Eng.
107 (2017)