Jiaqi Wang

发表

Gradient (cid:13)ow pruning based on the evaluation of the importance of characteristic attribution and Taylor-guidance

L. Jing, Chang Gao, Jiaqi Wang, 2022 .

Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process

Jiaqi Wang, Huafeng Liu, Tong Zhou, 2022, AAAI.

Cluster-wise Hierarchical Generative Model for Deep Amortized Clustering

Liping Jing, Huafeng Liu, Jiaqi Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Three-way enhanced convolutional neural networks for sentence-level sentiment classification

Jiaqi Wang, Duoqian Miao, Zhifei Zhang, 2019, Inf. Sci..

Interpretable Image Recognition by Constructing Transparent Embedding Space

L. Jing, Jiaqi Wang, Huafeng Liu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Tag-informed collaborative topic modeling for cross domain recommendations

Jing Lv, Jiaqi Wang, Jiaqi Wang, 2020, Knowl. Based Syst..

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks

Fang Zhao, Yuexia Zhang, Jiaqi Wang, 2019, IEEE Access.

Deep Generative Mixture Model for Robust Imbalance Classification

L. Jing, Jian Yu, T. Zeng, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Global and Local Generative Model for Recommendation

Jian Yu, Huafeng Liu, Lin Xiao, 2020, WWW.

Hierarchical Attention Generative Adversarial Networks for Cross-domain Sentiment Classification pdf

Jiaqi Wang, Duoqian Miao, Yuebing Zhang, 2019, ArXiv.

A cost-sensitive three-way combination technique for ensemble learning in sentiment classification

Jiaqi Wang, Duoqian Miao, Zhifei Zhang, 2019, Int. J. Approx. Reason..

Siamese transformer with hierarchical concept embedding for fine-grained image recognition

L. Jing, Jian Yu, Jiaqi Wang, 2023, Science China Information Sciences.

Interpretable Deep Generative Recommendation Models

Michael K. Ng, Samy Bengio, L. Jing, 2021, J. Mach. Learn. Res..