118 citations · 131 across the 11 of their papers we have counts for
11 papers
Synslator: An Interactive Machine Translation Tool with Online Learning
Jiayi Wang, Ke Wang, Fengming Zhou +5
Interactive machine translation (IMT) has emerged as a progression of the computer-aided translation paradigm, where the machine translation system and the human translator collabo…
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation
Xuefeng Hu, Ke Zhang, Lu Xia +9
Large-scale Pre-Training Vision-Language Model such as CLIP has demonstrated outstanding performance in zero-shot classification, e.g. achieving 76.3% top-1 accuracy on ImageNet wi…
Online Multi-Contact Receding Horizon Planning via Value Function Approximation
Jiayi Wang, Sanghyun Kim, Teguh Santoso Lembono +8
Planning multi-contact motions in a receding horizon fashion requires a value function to guide the planning with respect to the future, e.g., building momentum to traverse large o…
Non-parametric, Nearest-neighbor-assisted Fine-tuning for Neural Machine Translation
Jiayi Wang, Ke Wang, Yuqi Zhang +2
Non-parametric, k-nearest-neighbor algorithms have recently made inroads to assist generative models such as language models and machine translation decoders. We explore whether su…
TSMind: Alibaba and Soochow University's Submission to the WMT22 Translation Suggestion Task
Xin Ge, Ke Wang, Jiayi Wang +4
This paper describes the joint submission of Alibaba and Soochow University, TSMind, to the WMT 2022 Shared Task on Translation Suggestion (TS). We participate in the English-Germa…
Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation
Ke Wang, Xin Ge, Jiayi Wang +2
Machine translation technology has made great progress in recent years, but it cannot guarantee error free results. Human translators perform post editing on machine translations t…
QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task
Jiayi Wang, Ke Wang, Boxing Chen +3
Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years. The goal is to investigate automatic methods for estimating the quali…
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
Ke Wang, Yangbin Shi, Jiayi Wang +3
Quality Estimation (QE) plays an essential role in applications of Machine Translation (MT). Traditionally, a QE system accepts the original source text and translation from a blac…
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
Jiayi Wang, Ke Wang, Niyu Ge +3
With the advent of neural machine translation, there has been a marked shift towards leveraging and consuming the machine translation results. However, the gap between machine tran…
IStego100K: Large-scale Image Steganalysis Dataset
Zhongliang Yang, Ke Wang, Sai Ma +3
In order to promote the rapid development of image steganalysis technology, in this paper, we construct and release a multivariable large-scale image steganalysis dataset called IS…
TS-RNN: Text Steganalysis Based on Recurrent Neural Networks
Zhongliang Yang, Ke Wang, Jian Li +2
With the rapid development of natural language processing technologies, more and more text steganographic methods based on automatic text generation technology have appeared in rec…