no code implementations • COLING 2022 • Mengru Wang, Jianming Zheng, Fei Cai, Taihua Shao, Honghui Chen
Specifically, DRK adopts a logic-aware inference module to ease the word-overlap confusion, which introduces a logic rule to constrain the inference process, thereby avoiding the adverse effect of shallow text features.
no code implementations • 15 May 2024 • Honghui Chen, Pingping Chen, Huan Mao, Mengxi Jiang
It consists of a well pre-trained encoder to extract hierarchical feature representations and a decoder to reconstruct these intermediate features from the encoder.
no code implementations • 15 May 2024 • Honghui Chen, Yuhang Qiu, Jiabao Wang, Pingping Chen, Nam Ling
It reduces the training overhead of PLM while avoiding training fit oscillations.
no code implementations • 12 Apr 2024 • Yuhang Qiu, Honghui Chen, Xingbo Dong, Zheng Lin, Iman Yi Liao, Massimo Tistarelli, Zhe Jin
The first module, an interpretable dense registration module, establishes a Vision Transformer (ViT)-based Siamese Network to capture long-range dependencies and the global context in fingerprint pairs.
no code implementations • 19 Feb 2024 • Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang
Psychological measurement is essential for mental health, self-understanding, and personal development.
no code implementations • 24 May 2023 • Shuting Yan, Pingping Chen, Honghui Chen, Huan Mao, Feng Chen, Zhijian Lin
Under the tacit knowledge guidance of the AGN, the anomaly detection network named Trans utilizes Transformer to effectively establish a relationship between features with multiresolution, enhancing the ability of the Trans in fitting the normal data manifold.
no code implementations • COLING 2020 • Jianming Zheng, Fei Cai, Yanxiang Ling, Honghui Chen
Existing work cannot well represent the heterogeneous relations and capture the discontinuous event segments that are common in the event chain.
no code implementations • CIKM 2020 • Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke
The proposed SGNN-HN applies a star graph neural network (SGNN) to model the complex transition relationship between items in an ongoing session.
Ranked #1 on Session-Based Recommendations on yoochoose1/64
no code implementations • 26 Sep 2019 • Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke
We introduce the concept of interaction and propose a two-perspective interaction representation, that encapsulates a local and a global interaction representation.
3 code implementations • 8 Jul 2019 • Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
Deep feature learning extracts feature representations of users and items with a deep learning architecture based on a user-item rating matrix.