Jiaqi Wang

According to our database, Jiaqi Wang authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Transparent Embedding Space for Interpretable Image Recognition.

Jiaqi Wang, Huafeng Liu, Liping Jing

IEEE Trans. Circuits Syst. Video Technol., May, 2024

SS-Bench: A Benchmark for Social Story Generation and Evaluation.

Yi Feng, Mingyang Song, Jiaqi Wang, Mao Zheng, Liping Jing, Jian Yu

CoRR, 2024

Align2Concept: Language Guided Interpretable Image Recognition by Visual Prototype and Textual Concept Alignment.

Jiaqi Wang, Pichao Wang, Yi Feng, Huafeng Liu, Chang Gao, Liping Jing

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Deep Generative Mixture Model for Robust Imbalance Classification.

Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

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

Yilin Lyu, Liping Jing, Jiaqi Wang, Mingzhe Guo, Xinyue Wang, Jian Yu

Sci. China Inf. Sci., March, 2023

Interpretable Image Recognition by Screening Class-Specific and Class-Shared Prototypes.

Xiaomeng Li, Jiaqi Wang, Liping Jing

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process.

Huafeng Liu, Tong Zhou, Jiaqi Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interpretable Deep Generative Recommendation Models.

Huafeng Liu, Liping Jing, Jingxuan Wen, Pengyu Xu, Jiaqi Wang, Jian Yu, Michael K. Ng

J. Mach. Learn. Res., 2021

Interpretable Image Recognition by Constructing Transparent Embedding Space.

Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering.

Huafeng Liu, Jiaqi Wang, Liping Jing

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep Global and Local Generative Model for Recommendation.

Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020