Search Results for author: Lihao Wang

Found 7 papers, 3 papers with code

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

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.

Grammatical Error Correction Sentence

Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

no code implementations21 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.

Parking Spot Classification based on surround view camera system

no code implementations5 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.

Classification object-detection +1

Parsing is All You Need for Accurate Gait Recognition in the Wild

1 code implementation31 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.

Gait Recognition in the Wild Human Parsing

Learning Harmonic Molecular Representations on Riemannian Manifold

1 code implementation27 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.

Drug Discovery molecular representation +2

Unsupervised Word Segmentation with Bi-directional Neural Language Model

1 code implementation2 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.

Language Modelling Segmentation +1

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