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ORCIDWanting Ji
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2020 – today
- 2024
[j31]Xiaoguang Li
, Wanting Ji, Jidong Huang:
Local instance-based transfer learning for reinforcement learning. Eng. Appl. Artif. Intell. 133: 108488 (2024)- [j30]Yujun Ma, Ruili Wang, Ming Zong, Wanting Ji, Yi Wang, Baoliu Ye:
Convolutional transformer network for fine-grained action recognition. Neurocomputing 569: 127027 (2024) - [j29]Su Li, Junlu Wang, Wanting Ji, Ze Chen, Baoyan Song:
A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation. Knowl. Inf. Syst. 66(10): 6307-6335 (2024) - [j28]Ze Chen, Wanting Ji, Linlin Ding, Baoyan Song:
Document-level multi-task learning approach based on coreference-aware dynamic heterogeneous graph network for event extraction. Neural Comput. Appl. 36(1): 303-321 (2024) - [j27]Junlu Wang, Su Li, Wanting Ji, Dong Li, Baoyan Song:
Author Correction to: A composite blockchain associated event traceability method for financial activities. Peer Peer Netw. Appl. 17(1): 567-568 (2024) - 2023
- [j26]Ming Zong, Ruili Wang, Yujun Ma, Wanting Ji:
Spatial and temporal saliency based four-stream network with multi-task learning for action recognition. Appl. Soft Comput. 132: 109884 (2023) - [j25]Ze Chen, Wanting Ji, Linlin Ding, Baoyan Song:
Fine-grained document-level financial event argument extraction approach. Eng. Appl. Artif. Intell. 121: 105943 (2023) - [j24]Aihua Zhou, Yujun Ma, Wanting Ji, Ming Zong, Pei Yang, Min Wu, Mingzhe Liu:
Multi-head attention-based two-stream EfficientNet for action recognition. Multim. Syst. 29(2): 487-498 (2023) - [j23]Junlu Wang, Su Li, Wanting Ji, Dong Li, Baoyan Song:
A composite blockchain associated event traceability method for financial activities. Peer Peer Netw. Appl. 16(4): 1696-1715 (2023) - [j22]Ruili Wang, Feng Hou, Steven F. Cahan, Li Chen, Xiaoyun Jia, Wanting Ji:
Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review. IEEE Trans. Knowl. Data Eng. 35(5): 4794-4812 (2023) - [c5]Wanting Ji, Yanting Dong, Tingwei Chen:
Document-Level Relation Extraction with Relational Reasoning and Heterogeneous Graph Neural Networks. ADMA (4) 2023: 182-195 - [c4]Wanting Ji, Lei Zhang, Baoyan Song:
A Chinese Named Entity Recognition Method Based on Textual Information Perception Fusion. ADMA (4) 2023: 196-210 - [c3]Shaoguo Cui, Wanting Ji, Leqian Zhang, Rui Wang, Aodi Wang:
CDKN2A/B gene classification method for glioma with attention ConvNeXt. BIC 2023: 285-288 - 2022
- [j21]Wanting Ji, Ruili Wang, Yan Tian, Xun Wang:
An attention based dual learning approach for video captioning. Appl. Soft Comput. 117: 108332 (2022) - [j20]Tianyu Liu, Yujun Ma, Wenhan Yang, Wanting Ji, Ruili Wang, Ping Jiang:
Spatial-temporal interaction learning based two-stream network for action recognition. Inf. Sci. 606: 864-876 (2022) - [j19]Dong Li, Zhi-Lei Lei, Baoyan Song, Wanting Ji, Yue Kou:
Neural Attentional Relation Extraction with Dual Dependency Trees. J. Comput. Sci. Technol. 37(6): 1369-1381 (2022) - 2021
- [j18]Guangshun Li, Xinrong Ren, Junhua Wu, Wanting Ji, Haili Yu, Jiabin Cao, Ruili Wang:
Blockchain-based mobile edge computing system. Inf. Sci. 561: 70-80 (2021) - [j17]Lei Wang, Xiaoguang Yuan, Ming Zong, Yujun Ma, Wanting Ji, Mingzhe Liu, Ruili Wang:
Multi-cue based four-stream 3D ResNets for video-based action recognition. Inf. Sci. 575: 654-665 (2021) - [j16]Hongyan Wan, Wanting Ji, Guoqing Wu, Xiaoyun Jia, Xue Zhan, Mengting Yuan, Ruili Wang:
A novel webpage layout aesthetic evaluation model for quantifying webpage layout design. Inf. Sci. 576: 589-608 (2021) - [j15]Junbo Ma, Ruili Wang, Wanting Ji, Jiawei Zhao, Ming Zong, Andrew Gilman:
Robust multi-view continuous subspace clustering. Pattern Recognit. Lett. 150: 306-312 (2021) - [j14]Wanting Ji, Ruili Wang:
A Multi-instance Multi-label Dual Learning Approach for Video Captioning. ACM Trans. Multim. Comput. Commun. Appl. 17(2s): 72:1-72:18 (2021) - [j13]Wanting Ji, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Feng Hou, Baoyan Song, Mingzhe Liu, Ruili Wang:
Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. WIREs Data Mining Knowl. Discov. 11(3) (2021) - [c2]Ling Gu, Chen Ji, Wanting Ji:
The Development of a Kind of Composite Material Lightweight Airborne Equipment Bracket. AIAM (ACM) 2021: 3030-3032 - 2020
- [j12]Hao Zheng, Ruili Wang, Wanting Ji, Ming Zong, Wai Keung Wong, Zhihui Lai, Hexin Lv:
Discriminative deep multi-task learning for facial expression recognition. Inf. Sci. 533: 60-71 (2020) - [j11]Yirui Wu, Xiaozhong Ji, Wanting Ji, Yan Tian, Helen Zhou:
CASR: a context-aware residual network for single-image super-resolution. Neural Comput. Appl. 32(18): 14533-14548 (2020) - [j10]Fuhao Zou, Wei Xiao, Wanting Ji, Kunkun He, Zhixiang Yang, Jingkuan Song, Helen Zhou, Kai Li:
Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image. Neural Comput. Appl. 32(18): 14549-14562 (2020) - [j9]Zhenbing Liu, Zeya Li, Ruili Wang, Ming Zong, Wanting Ji:
Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition. Neural Comput. Appl. 32(18): 14593-14602 (2020) - [j8]Yuqiang Fang, Zhihao Ma, Hao Zheng, Wanting Ji:
Trainable TV-L1 model as recurrent nets for low-level vision. Neural Comput. Appl. 32(18): 14603-14611 (2020) - [j7]Ruili Wang, Wanting Ji:
Computational Intelligence for Information Security: A Survey. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 616-629 (2020)
2010 – 2019
- 2019
- [j6]Wanting Ji, Ruili Wang, Junbo Ma:
Dictionary-based active learning for sound event classification. Multim. Tools Appl. 78(3): 3831-3842 (2019) - [j5]Zhe Chen, Ruili Wang, Wanting Ji, Ming Zong, Tanghuai Fan, Huibin Wang:
A novel monocular calibration method for underwater vision measurement. Multim. Tools Appl. 78(14): 19437-19455 (2019) - [j4]Xiao Qin, Wanting Ji, Ruili Wang, Changan Yuan:
Learnt dictionary based active learning method for environmental sound event tagging. Multim. Tools Appl. 78(20): 29493-29508 (2019) - [j3]Junbo Ma, Ruili Wang, Wanting Ji, Hao Zheng, En Zhu, Jianping Yin:
Relational recurrent neural networks for polyphonic sound event detection. Multim. Tools Appl. 78(20): 29509-29527 (2019) - [c1]Zhenbing Liu, Zeya Li, Ming Zong, Wanting Ji, Ruili Wang, Yan Tian:
Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition. ACPR Workshops 2019: 74-84 - 2018
- [j2]Ruili Wang, Wanting Ji, Mingzhe Liu, Xun Wang, Jian Weng, Song Deng, Suying Gao, Chang-an Yuan:
Review on mining data from multiple data sources. Pattern Recognit. Lett. 109: 120-128 (2018) - [j1]Ruili Wang, Wanting Ji, Baoyan Song:
Durable relationship prediction and description using a large dynamic graph. World Wide Web 21(6): 1575-1600 (2018)
Coauthor Index
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last updated on 2024-10-10 21:18 CEST by the dblp team
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