no code implementations • EMNLP 2020 • Lihao Wang, Xiaoqing Zheng
A sequence-to-sequence (seq2seq) learning with neural networks empirically shows to be an effective framework for grammatical error correction (GEC), which takes a sentence with errors as input and outputs the corrected one.
no code implementations • 21 Mar 2024 • Yan Wang, Lihao Wang, Yuning Shen, Yiqun Wang, Huizhuo Yuan, Yue Wu, Quanquan Gu
The conformational landscape of proteins is crucial to understanding their functionality in complex biological processes.
no code implementations • 17 Oct 2023 • Lihao Wang, Antonyo Musabini, Christel Leonet, Rachid Benmokhtar, Amaury Breheret, Chaima Yedes, Fabian Burger, Thomas Boulay, Xavier Perrotton
Current parking slot detection in advanced driver-assistance systems (ADAS) primarily relies on ultrasonic sensors.
no code implementations • 5 Oct 2023 • Andy Xiao, Deep Doshi, Lihao Wang, Harsha Gorantla, Thomas Heitzmann, Peter Groth
To the best of our knowledge, we present the first detailed study on parking spot detection and classification on fisheye cameras for auto valet parking scenarios.
1 code implementation • 31 Aug 2023 • Jinkai Zheng, Xinchen Liu, Shuai Wang, Lihao Wang, Chenggang Yan, Wu Liu
Furthermore, due to the lack of suitable datasets, we build the first parsing-based dataset for gait recognition in the wild, named Gait3D-Parsing, by extending the large-scale and challenging Gait3D dataset.
1 code implementation • 27 Mar 2023 • Yiqun Wang, Yuning Shen, Shi Chen, Lihao Wang, Fei Ye, Hao Zhou
In this work, we propose a Harmonic Molecular Representation learning (HMR) framework, which represents a molecule using the Laplace-Beltrami eigenfunctions of its molecular surface.
1 code implementation • 2 Mar 2021 • Lihao Wang, Zongyi Li, Xiaoqing Zheng
We present an unsupervised word segmentation model, in which the learning objective is to maximize the generation probability of a sentence given its all possible segmentation.