Xiang Geng

Orcid: 0009-0008-2311-9705

According to our database1, Xiang Geng authored at least 27 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Online Compression of Multichannel Power Waveform Data in Distribution Grid With Novel Tensor Method.
IEEE Trans. Instrum. Meas., 2024

Why Not Transform Chat Large Language Models to Non-English?
CoRR, 2024

From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation.
CoRR, 2024

From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2024

MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task.
CoRR, 2023

Unify Word-level and Span-level Tasks: NJUNLP's Participation for the WMT2023 Quality Estimation Shared Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoP: Factual Inconsistency Detection by Controlling the Preference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Denoising Pre-training for Machine Translation Quality Estimation with Curriculum Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CoP: Factual Inconsistency Detection by Controlling the Preference.
CoRR, 2022

CrossQE: HW-TSC 2022 Submission for the Quality Estimation Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

NJUNLP's Participation for the WMT2022 Quality Estimation Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

NJUNLP's Submission for CCMT 2022 Quality Estimation Task.
Proceedings of the Machine Translation - 18th China Conference, 2022

2021
Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.
IEEE Trans. Neural Networks Learn. Syst., 2021

Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms.
Pattern Recognit., 2021

DirectQE: Direct Pretraining for Machine Translation Quality Estimation.
CoRR, 2021

Optimizing Large-Scale Hyperparameters via Automated Learning Algorithm.
CoRR, 2021

HW-TSC's Participation at WMT 2021 Quality Estimation Shared Task.
Proceedings of the Sixth Conference on Machine Translation, 2021

DirectQE: Direct Pretraining for Machine Translation Quality Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
NJU's submission to the WMT20 QE Shared Task.
Proceedings of the Fifth Conference on Machine Translation, 2020

NJUNLP's Submission for CCMT20 Quality Estimation Task.
Proceedings of the Machine Translation - 16th China Conference, 2020

2019
Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm.
Neural Networks, 2019

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Scalable Semi-Supervised SVM via Triply Stochastic Gradients.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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