Wei He

Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine

2017

In order to overcome the limitations of a single view of action recognition by using multi-view information, this paper proposes a novel method of multi-view human action recognition. The main steps involved in the process …

Semi-Supervised Learning for Neural Machine Translation

2016 · arXiv (Cornell University)

While end-to-end neural machine translation (NMT) has made remarkable progress recently, NMT systems only rely on parallel corpora for parameter estimation. Since parallel corpora are usually limited in quantity, quality, and coverage, especially for low-resource …

HERFA: A Homomorphic Encryption-Based Root-Finding Algorithm

2024 · IEEE Embedded Systems Letters

Edge-cloud computing architectures are exposed to significant security challenges. Although general encryption methods can mitigate some of these concerns, they require decryption to perform operations on data, exposing the data and secret keys to potential …

Exploration of Digital Teaching of Accounting Course in the Intelligent Era from the Perspective of "New Economy and Management"

2025 · International Journal of Global Economics and Management

In the era of intelligent technology, the emergence of digital technology has brought unprecedented changes to various industries. The 14th Five Year Plan and 2035 Vision Outline of our country point out that digital transformation …

Classroom Behavior Detection Method Based on PLA-YOLO11n

2025 · Sensors

Accurate detection of student behavior in the classroom helps analyze students' learning states and contributes to improving teaching effectiveness. We propose the PLA-YOLO11n classroom behavior detection model. We design a novel C3K2_PConv module that integrates …

Multi-Task Learning for Multiple Language Translation

2015

Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long …

Improved Neural Machine Translation with SMT Features

2016 · Proceedings of the AAAI Conference on Artificial Intelligence

Neural machine translation (NMT) conducts end-to-end translation with a source language encoder and a target language decoder, making promising translation performance. However, as a newly emerged approach, the method has some limitations. An NMT system …

Answer-focused and Position-aware Neural Question Generation

2018

In this paper, we focus on the problem of question generation (QG). Recent neural networkbased approaches employ the sequence-tosequence model which takes an answer and its context as input and generates a relevant question as …

Minimum Risk Training for Neural Machine Translation

2016

We propose minimum risk training for end-to-end neural machine translation. Unlike conventional maximum likelihood estimation, minimum risk training is capable of optimizing model parameters directly with respect to arbitrary evaluation metrics, which are not necessarily …

Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification

2018

Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2018.

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

2018

Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang. Proceedings of the Workshop on Machine Reading for Question …