Review on mining data from multiple data sources. - Ruili Wang; Wanting Ji; Mingzhe Liu 001; Xun Wang 007; Jian Weng 001; Song Deng; Suying Gao; Chang-an Yuan 001 (Pattern Recognit. Lett., 2018)

Durable relationship prediction and description using a large dynamic graph. - Ruili Wang; Wanting Ji; Baoyan Song (World Wide Web, 2018)

Spatiotemporal Saliency Based Multi-stream Networks for Action Recognition. - Zhenbing Liu; Zeya Li; Ming Zong; Wanting Ji; Ruili Wang; Yan Tian (ACPR Workshops, 2019)

A novel monocular calibration method for underwater vision measurement. - Zhe Chen 004; Ruili Wang; Wanting Ji; Ming Zong; Tanghuai Fan; Huibin Wang (Multim. Tools Appl., 2019)

Dictionary-based active learning for sound event classification. - Wanting Ji; Ruili Wang; Junbo Ma (Multim. Tools Appl., 2019)

Relational recurrent neural networks for polyphonic sound event detection. - Junbo Ma; Ruili Wang; Wanting Ji; Hao Zheng; En Zhu; Jianping Yin (Multim. Tools Appl., 2019)

Learnt dictionary based active learning method for environmental sound event tagging. - Xiao Qin 005; Wanting Ji; Ruili Wang; Changan Yuan 001 (Multim. Tools Appl., 2019)

Discriminative deep multi-task learning for facial expression recognition. - Hao Zheng; Ruili Wang; Wanting Ji; Ming Zong; Wai Keung Wong; Zhihui Lai 001; Hexin Lv (Inf. Sci., 2020)

Trainable TV-L1 model as recurrent nets for low-level vision. - Yuqiang Fang; Zhihao Ma; Hao Zheng; Wanting Ji (Neural Comput. Appl., 2020)

Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition. - Zhenbing Liu; Zeya Li; Ruili Wang; Ming Zong; Wanting Ji (Neural Comput. Appl., 2020)

CASR: a context-aware residual network for single-image super-resolution. - Yirui Wu; Xiaozhong Ji; Wanting Ji; Yan Tian; Helen Zhou (Neural Comput. Appl., 2020)

Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image. - Fuhao Zou; Wei Xiao; Wanting Ji; Kunkun He; Zhixiang Yang; Jingkuan Song; Helen Zhou; Kai Li (Neural Comput. Appl., 2020)

Computational Intelligence for Information Security: A Survey. - Ruili Wang; Wanting Ji (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

The Development of a Kind of Composite Material Lightweight Airborne Equipment Bracket. - Ling Gu; Chen Ji; Wanting Ji (AIAM (ACM), 2021)

Blockchain-based mobile edge computing system. - Guangshun Li; Xinrong Ren; Junhua Wu; Wanting Ji; Haili Yu; Jiabin Cao; Ruili Wang (Inf. Sci., 2021)

A novel webpage layout aesthetic evaluation model for quantifying webpage layout design. - Hongyan Wan; Wanting Ji; Guoqing Wu 004; Xiaoyun Jia; Xue Zhan; Mengting Yuan 001; Ruili Wang (Inf. Sci., 2021)

Multi-cue based four-stream 3D ResNets for video-based action recognition. - Lei Wang; Xiaoguang Yuan; Ming Zong; Yujun Ma; Wanting Ji; Mingzhe Liu 001; Ruili Wang (Inf. Sci., 2021)

Robust multi-view continuous subspace clustering. - Junbo Ma; Ruili Wang; Wanting Ji; Jiawei Zhao; Ming Zong; Andrew Gilman (Pattern Recognit. Lett., 2021)

A Multi-instance Multi-label Dual Learning Approach for Video Captioning. - Wanting Ji; Ruili Wang (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. - Wanting Ji; Yan Pang; Xiaoyun Jia; Zhongwei Wang; Feng Hou; Baoyan Song; Mingzhe Liu 001; Ruili Wang (WIREs Data Mining Knowl. Discov., 2021)

An attention based dual learning approach for video captioning. - Wanting Ji; Ruili Wang; Yan Tian; Xun Wang 007 (Appl. Soft Comput., 2022)

Spatial-temporal interaction learning based two-stream network for action recognition. - Tianyu Liu; Yujun Ma; Wenhan Yang; Wanting Ji; Ruili Wang; Ping Jiang (Inf. Sci., 2022)

Neural Attentional Relation Extraction with Dual Dependency Trees. - Dong Li 023; Zhi-Lei Lei; Baoyan Song; Wanting Ji; Yue Kou (J. Comput. Sci. Technol., 2022)

Document-Level Relation Extraction with Relational Reasoning and Heterogeneous Graph Neural Networks. - Wanting Ji; Yanting Dong; Tingwei Chen (ADMA (4), 2023)

A Chinese Named Entity Recognition Method Based on Textual Information Perception Fusion. - Wanting Ji; Lei Zhang; Baoyan Song (ADMA (4), 2023)

CDKN2A/B gene classification method for glioma with attention ConvNeXt. - Shaoguo Cui; Wanting Ji; Leqian Zhang; Rui Wang 112; Aodi Wang (BIC, 2023)

Spatial and temporal saliency based four-stream network with multi-task learning for action recognition. - Ming Zong; Ruili Wang; Yujun Ma; Wanting Ji (Appl. Soft Comput., 2023)

Multi-head attention-based two-stream EfficientNet for action recognition. - Aihua Zhou; Yujun Ma; Wanting Ji; Ming Zong; Pei Yang; Min Wu; Mingzhe Liu 001 (Multim. Syst., 2023)

Fine-grained document-level financial event argument extraction approach. - Ze Chen; Wanting Ji; Linlin Ding; Baoyan Song (Eng. Appl. Artif. Intell., 2023)

Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review. - Ruili Wang; Feng Hou; Steven F. Cahan; Lily Chen; Xiaoyun Jia; Wanting Ji (IEEE Trans. Knowl. Data Eng., 2023)

A composite blockchain associated event traceability method for financial activities. - Junlu Wang; Su Li; Wanting Ji; Dong Li 023; Baoyan Song (Peer Peer Netw. Appl., 2023)

A Relation Extraction Method Based on Multi-layer Index and Cascading Binary Framework. - Wanting Ji; Keyan Wen; Linlin Ding; Baoyan Song (ADMA (5), 2024)

A Chinese Inter-sentence Relation Extraction Approach Based on Cascading Pointer Network. - Keyan Wen; Wanting Ji; Junlu Wang; Su Li; Baoyan Song (ADMA (5), 2024)

Local instance-based transfer learning for reinforcement learning. - Xiaoguang Li; Wanting Ji; Jidong Huang (Eng. Appl. Artif. Intell., 2024)

Document-level multi-task learning approach based on coreference-aware dynamic heterogeneous graph network for event extraction. - Ze Chen; Wanting Ji; Linlin Ding; Baoyan Song (Neural Comput. Appl., 2024)

Author Correction to: A composite blockchain associated event traceability method for financial activities. - Junlu Wang; Su Li; Wanting Ji; Dong Li 023; Baoyan Song (Peer Peer Netw. Appl., 2024)

Convolutional transformer network for fine-grained action recognition. - Yujun Ma; Ruili Wang; Ming Zong; Wanting Ji; Yi Wang; Baoliu Ye (Neurocomputing, 2024)

A hybrid storage blockchain-based query efficiency enhancement method for business environment evaluation. - Su Li; Junlu Wang; Wanting Ji; Ze Chen; Baoyan Song (Knowl. Inf. Syst., 2024)