no code implementations • NAACL (DaSH) 2021 • Karthik Muthuraman, Frederick Reiss, Hong Xu, Bryan Cutler, Zachary Eichenberger
We incorporated our sieve into an end-to-end system for cleaning NLP corpora, implemented as a modular collection of Jupyter notebooks built on extensions to the Pandas DataFrame library.
no code implementations • EMNLP 2020 • Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu
Open-vocabulary slots, such as file name, album name, or schedule title, significantly degrade the performance of neural-based slot filling models since these slots can take on values from a virtually unlimited set and have no semantic restriction nor a length limit.
1 code implementation • ACL 2022 • Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu
Discovering Out-of-Domain(OOD) intents is essential for developing new skills in a task-oriented dialogue system.
no code implementations • 7 May 2024 • Jasraj Singh, Fang Liu, Hong Xu, Bee Chin Ng, Wei zhang
In this paper, we enhance ML-based solutions with linguistics input and we propose LingML, linguistic-informed ML, for fake news detection.
no code implementations • 22 Feb 2024 • Jingyao Li, Pengguang Chen, Xuan Ju, Hong Xu, Jiaya Jia
Our research aims to bridge the domain gap between natural and artificial scenarios with efficient tuning strategies.
no code implementations • 29 Dec 2023 • Hong Xu, Alan Morris, Shireen Y. Elhabian
We propose an extension to \particle-based shape modeling (PSM), a widely used SSM framework, to allow shape modeling to arbitrary regions of interest.
no code implementations • 11 Oct 2023 • Jiamin Li, Qiang Su, Yitao Yang, Yimin Jiang, Cong Wang, Hong Xu
Existing MoE model adopts a fixed gating network where each token is computed by the same number of experts.
no code implementations • 19 May 2023 • Hong Xu, Shireen Y. Elhabian
This RBF-based shape representation offers a rich self-supervised signal for the network to estimate a continuous, yet compact representation of the underlying surface that can adapt to complex geometries in a data-driven manner.
no code implementations • 18 Feb 2023 • Jingzong Li, Yik Hong Cai, Libin Liu, Yu Mao, Chun Jason Xue, Hong Xu
3D object detection plays a pivotal role in many applications, most notably autonomous driving and robotics.
no code implementations • 16 Feb 2022 • Jiamin Li, Hong Xu, Yibo Zhu, Zherui Liu, Chuanxiong Guo, Cong Wang
We introduce Aryl, a new cluster scheduler to address these problems.
1 code implementation • 1 Oct 2021 • Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald
BACKGROUND: In this study, we investigated the efficacy of current state-of-the-art neural sentence embedding models for semantic similarity estimation of sentences from biomedical literature.
Ranked #1 on Sentence Embeddings For Biomedical Texts on BIOSSES
1 code implementation • NAACL 2021 • Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu
Detecting out-of-domain (OOD) intents is crucial for the deployed task-oriented dialogue system.
no code implementations • 1 Jun 2021 • Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu
Non-intrusive load monitoring (NILM) is a well-known single-channel blind source separation problem that aims to decompose the household energy consumption into itemised energy usage of individual appliances.
1 code implementation • ACL 2021 • Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang, Weiran Xu
Existing slot filling models can only recognize pre-defined in-domain slot types from a limited slot set.
1 code implementation • ACL 2021 • Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang, Weiran Xu
Detecting Out-of-Domain (OOD) or unknown intents from user queries is essential in a task-oriented dialog system.
no code implementations • COLING 2020 • Hong Xu, Keqing He, Yuanmeng Yan, Sihong Liu, Zijun Liu, Weiran Xu
Detecting out-of-domain (OOD) input intents is critical in the task-oriented dialog system.
2 code implementations • CONLL 2020 • Frederick Reiss, Hong Xu, Bryan Cutler, Karthik Muthuraman, Zachary Eichenberger
The CoNLL-2003 corpus for English-language named entity recognition (NER) is one of the most influential corpora for NER model research.
no code implementations • 10 Jul 2020 • Hong Xu, David E. Timm, Shireen Y. Elhabian
The imaging process required for 3D reconstructions involves a highly iterative and empirical screening process, starting with the acquisition of low magnification images of the cryo-EM grids.
no code implementations • 17 Feb 2020 • Hongming Huang, Peng Cheng, Hong Xu, Yongqiang Xiong
We advocate that simulation based on offline profiling is a promising approach to better understand and improve the complex ML systems.
1 code implementation • NeurIPS 2019 • Aditya Bhaskara, Sharvaree Vadgama, Hong Xu
One the one hand, they possess good theoretical approximation guarantees, and on the other, they are fast and easy to implement.
no code implementations • 1 Dec 2019 • Han Zhang, Hong Xu
On the other hand, learning network embeddings on distributively stored networks still remained understudied: To the best of our knowledge, all existing algorithms for learning network embeddings have hitherto been exclusively centralized and thus cannot be applied to these networks.
no code implementations • 4 Sep 2019 • Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli
A recent trend observed in traditionally challenging fields such as computer vision and natural language processing has been the significant performance gains shown by deep learning (DL).
no code implementations • 26 Feb 2019 • Xiaorui Wu, Hong Xu, Honglin Zhang, Huaming Chen, Jian Wang
Production recommendation systems rely on embedding methods to represent various features.
2 code implementations • 14 Feb 2019 • Peng Wang, Hong Xu, Xin Jin, Tao Wang
Mice payments are directly sent by looking up a routing table with a few precomputed paths to reduce probing overhead.
Networking and Internet Architecture
no code implementations • 27 Dec 2018 • Xiaorui Wu, Hong Xu, Bo Li, Yongqiang Xiong
Thus, we propose layer separation in distributed training: the majority of the nodes just train the convolutional layers, and the rest train the fully connected layers only.
no code implementations • 7 Sep 2018 • Kexuan Sun, Shudan Zhong, Hong Xu
To the best of our knowledge, this is the first time that such systematic presence of analogies is observed in network and document embeddings.
no code implementations • 30 Mar 2018 • Hang Ma, Wolfgang Hönig, Liron Cohen, Tansel Uras, Hong Xu, T. K. Satish Kumar, Nora Ayanian, Sven Koenig
In the plan-generation phase, the framework provides a computationally scalable method for generating plans that achieve high-level tasks for groups of robots and take some of their kinematic constraints into account.
no code implementations • 18 Nov 2017 • Therese Anders, Hong Xu, Cheng Cheng, T. K. Satish Kumar
Territorial control is a key aspect shaping the dynamics of civil war.
no code implementations • 17 Feb 2017 • Hang Ma, Sven Koenig, Nora Ayanian, Liron Cohen, Wolfgang Hoenig, T. K. Satish Kumar, Tansel Uras, Hong Xu, Craig Tovey, Guni Sharon
Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical computer science and operations research.