no code implementations • 1 Jul 2023 • Shuzhe Chen, Li Li, Zhichao Lin, Ke Zhang, Ying Gong, Lu Wang, Xu Wu, Maokun Li, Yuanlin Song, Fan Yang, Shenheng Xu
A simple convolutional neural network is used for classification.
1 code implementation • 20 Oct 2022 • Yu Zhao, Jianguo Wei, Zhichao Lin, Yueheng Sun, Meishan Zhang, Min Zhang
Accordingly, we manually annotate a dataset to facilitate the investigation of the newly-introduced task and build several benchmark encoder-decoder models by using VL-BART and VL-T5 as backbones.
no code implementations • 18 Dec 2021 • Tao Shan, Zhichao Lin, Xiaoqian Song, Maokun Li, Fan Yang, Zhensheng Xu
In this paper, we propose the neural Born iterative method (NeuralBIM) for solving 2D inverse scattering problems (ISPs) by drawing on the scheme of physics-informed supervised residual learning (PhiSRL) to emulate the computing process of the traditional Born iterative method (TBIM).
1 code implementation • EMNLP 2021 • Zhichao Lin, Yueheng Sun, Meishan Zhang
The three subtasks are closely related while previous studies model them individually, which ignores their intern connections and meanwhile induces error propagation problem.
1 code implementation • ACL 2021 • Fei Li, Zhichao Lin, Meishan Zhang, Donghong Ji
Second, we perform relation classification to judge whether a given pair of entity fragments to be overlapping or succession.
no code implementations • IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, VOL. 20, NO. 4, APRIL 2021 • Rui Guo, Zhichao Lin, Tao Shan, Maokun Li, Fan Yang, Shenheng Xu, Aria Abubakar
Abstract—Solving the combined field integral equation (CFIE) for the large-scale scattering problem is computationally expensive.
2 code implementations • 15 Feb 2020 • Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio
Multi-frame Super-Resolution (MFSR) offers a more grounded approach to the ill-posed problem, by conditioning on multiple low-resolution views.
Ranked #6 on
Multi-Frame Super-Resolution
on PROBA-V
1 code implementation • ICLR 2020 • Michel Deudon, Alfredo Kalaitzis, Md Rifat Arefin, Israel Goytom, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio
Multi-frame Super-Resolution (MFSR) offers a more grounded approach to the ill-posed problem, by conditioning on multiple low-resolution views.
Ranked #6 on
Multi-Frame Super-Resolution
on PROBA-V
no code implementations • 26 Mar 2019 • Cunxiang Wang, Feiliang Ren, Zhichao Lin, Chenxv Zhao, Tian Xie, Yue Zhang
Embedding entities and relations into a continuous multi-dimensional vector space have become the dominant method for knowledge graph embedding in representation learning.