Image captioning with deep LSTM based on sequential residual. - Kaisheng Xu; Hanli Wang; Pengjie Tang (ICME, 2017)

Richer Semantic Visual and Language Representation for Video Captioning. - Pengjie Tang; Hanli Wang; Hanzhang Wang; Kaisheng Xu (ACM Multimedia, 2017)

Richer feature for image classification with super and sub kernels based on deep convolutional neural network. - Pengjie Tang; Hanli Wang (Comput. Electr. Eng., 2017)

Photograph aesthetical evaluation and classification with deep convolutional neural networks. - Yunlan Tan; Pengjie Tang; Yimin Zhou 003; Wenlang Luo; Yongping Kang; Guangyao Li (Neurocomputing, 2017)

G-MS2F: GoogLeNet based multi-stage feature fusion of deep CNN for scene recognition. - Pengjie Tang; Hanli Wang; Sam Kwong (Neurocomputing, 2017)

Image Captioning with Word Level Attention. - Fang Fang; Hanli Wang; Pengjie Tang (ICIP, 2018)

Refining Attention: A Sequential Attention Model for Image Captioning. - Fang Fang; Qinyu Li; Hanli Wang; Pengjie Tang (ICME, 2018)

Deep sequential fusion LSTM network for image description. - Pengjie Tang; Hanli Wang; Sam Kwong (Neurocomputing, 2018)

Looking deeper and transferring attention for image captioning. - Fang Fang; Hanli Wang; Yihao Chen; Pengjie Tang (Multim. Tools Appl., 2018)

Rich Visual and Language Representation with Complementary Semantics for Video Captioning. - Pengjie Tang; Hanli Wang; Qinyu Li (ACM Trans. Multim. Comput. Commun. Appl., 2019)

RepeatPadding: Balancing words and sentence length for language comprehension in visual question answering. - Yu Long 003; Pengjie Tang; Zhihua Wei; Jinjing Gu; Hanli Wang (Inf. Sci., 2020)

Translating video into language by enhancing visual and language representations. - Pengjie Tang; Yunlan Tan; Jinzhong Li; Bin Tan (J. Vis. Commun. Image Represent., 2020)

Double-channel language feature mining based model for video description. - Pengjie Tang; Jiewu Xia; Yunlan Tan; Bin Tan (Multim. Tools Appl., 2020)

CaptionNet: A Tailor-made Recurrent Neural Network for Generating Image Descriptions. - Longyu Yang; Hanli Wang; Pengjie Tang; Qinyu Li (IEEE Trans. Multim., 2021)

Spatio-temporal Super-resolution Network: Enhance Visual Representations for Video Captioning. - Quanhui Cao; Pengjie Tang; Hanli Wang (ISCAS, 2022)

Multi-concept Mining for Video Captioning Based on Multiple Tasks. - Qinyu Zhang 005; Pengjie Tang; Hanli Wang; Jinjing Gu (ISCAS, 2022)

Synthesis of Reversible Circuits with Reduced Nearest-Neighbor Cost Using Kronecker Functional Decision Diagrams. - Dengli Bu; Junjie Yan; Pengjie Tang; Haohao Yuan (J. Electron. Test., 2022)

Visual and language semantic hybrid enhancement and complementary for video description. - Pengjie Tang; Yunlan Tan; Wenlang Luo (Neural Comput. Appl., 2022)

Emotion Expression With Fact Transfer for Video Description. - Hanli Wang; Pengjie Tang; Qinyu Li; Meng Cheng (IEEE Trans. Multim., 2022)

Deep sequential collaborative cognition of vision and language based model for video description. - Pengjie Tang; Yunlan Tan; Jiewu Xia (Multim. Tools Appl., 2023)

Reversible Circuit Synthesis Method Using Sub-graphs of Shared Functional Decision Diagrams. - Dengli Bu; Junyi Deng; Pengjie Tang; Shuhong Yang (Comput. J., 2023)

Video emotional description with fact reinforcement and emotion awaking. - Pengjie Tang; Hong Rao; Ai Zhang; Yunlan Tan (J. Ambient Intell. Humaniz. Comput., 2024)

Emotion recognition in user-generated videos with long-range correlation-aware network. - Yun Yi; Jin Zhou; Hanli Wang; Pengjie Tang; Min Wang 020 (IET Image Process., 2024)

SRVC-LA: Sparse regularization of visual context and latent attention based model for video description. - Pengjie Tang; Jiayu Zhang 002; Hanli Wang; Yunlan Tan; Yun Yi (Neurocomputing, 2025)

MGTR-MISS: More Ground Truth Retrieving based Multimodal Interaction and Semantic Supervision for video description. - Jiayu Zhang 002; Pengjie Tang; Yunlan Tan; Hanli Wang (Neural Networks, 2025)