no code implementations • EMNLP (NLP4ConvAI) 2021 • Qian Hu, Thahir Mohamed, Zheng Gao, Xibin Gao, Radhika Arava, Xiyao Ma, Mohamed AbdelHady
In this paper, we introduce a fallback skill recommendation system to suggest a voice app to a customer for an unhandled voice command.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 4 Mar 2024 • Zheng Gao, Ioannis Patras
Recent efforts toward this goal are limited to treating each face image as a whole, i. e., learning consistent facial representations at the image-level, which overlooks the consistency of local facial representations (i. e., facial regions like eyes, nose, etc).
no code implementations • 25 Aug 2023 • Zheng Gao, Chen Feng, Ioannis Patras
Inspired by cross-modality learning, we extend this existing framework that only learns from global features by encouraging the global features and intermediate layer features to learn from each other.
no code implementations • 25 Aug 2023 • Ting Jiang, Zheng Gao, Yizhao Chen, Zihe Hu, Ming Tang
To comprehensively assess optical fiber communication system conditions, it is essential to implement joint estimation of the following four critical impairments: nonlinear signal-to-noise ratio (SNRNL), optical signal-to-noise ratio (OSNR), chromatic dispersion (CD) and differential group delay (DGD).
no code implementations • 19 Oct 2021 • Wei Xiao, Qian Hu, Thahir Mohamed, Zheng Gao, Xibin Gao, Radhika Arava, Mohamed AbdelHady
Intelligent personal assistants (IPA) enable voice applications that facilitate people's daily tasks.
no code implementations • 3 May 2021 • Zheng Gao, Chun Guo, Shutian Ma, Xiaozhong Liu
Therefore a heterogeneous network can be converted to a homogeneous one where those conventional methods are eligible to use.
no code implementations • 6 Sep 2020 • Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu
In this paper, our model, Pairwise Cross-graph Community Detection (PCCD), is proposed to cope with the sparse graph problem by involving external graph knowledge to learn user pairwise community closeness instead of detecting direct communities.
no code implementations • 6 Sep 2020 • Zheng Gao, Chun Guo, Xiaozhong Liu
Personalized community detection aims to generate communities associated with user need on graphs, which benefits many downstream tasks such as node recommendation and link prediction for users, etc.
3 code implementations • 6 Apr 2020 • Miltiadis Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
The network uses deep similarity learning to learn a TypeSpace -- a continuous relaxation of the discrete space of types -- and how to embed the type properties of a symbol (i. e. identifier) into it.
no code implementations • 12 Jul 2019 • Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu
Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising.
1 code implementation • EMNLP 2018 • Yongzhen Wang, Xiaozhong Liu, Zheng Gao
Conventional solutions to automatic related work summarization rely heavily on human-engineered features.
1 code implementation • 7 Sep 2018 • Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, Qi Yu, Ying Ding
We propose this method for its added value relative to existing graph analytical methodology, and in the real world context of biomedical knowledge discovery applicability.