Keda Lu

According to our database, Keda Lu authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech.

Ziqi Liang, Haoxiang Shi, Jiawei Wang, Keda Lu

CoRR, 2024

2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement.

Jun Yu, Shenshen Du, Renjie Lu, Pengwei Li, Guochen Xie, Zhongpeng Cai, Keda Lu, Qing Ling, Cong Wang, Luyu Qiu, Wei Zheng

CoRR, 2023

Sliding Window Seq2seq Modeling for Engagement Estimation.

Jun Yu, Keda Lu, Mohan Jing, Ziqi Liang, Bingyuan Zhang, Jianqing Sun, Jiaen Liang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Answer-Based Entity Extraction and Alignment for Visual Text Question Answering.

Jun Yu, Mohan Jing, Weihao Liu, Tongxu Luo, Bingyuan Zhang, Keda Lu, Fangyu Lei, Jianqing Sun, Jiaen Liang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement.

Shenshen Du, Jun Yu, Guochen Xie, Renjie Lu, Pengwei Li, Zhongpeng Cai, Keda Lu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification.

Jun Yu, Hao Chang, Keda Lu, Liwen Zhang, Shenshen Du, Zhong Zhang

CoRR, 2022

Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.

Aneesh Rangnekar, Zachary Mulhollan, Anthony Vodacek, Matthew J. Hoffman, Ángel D. Sappa, Erik Blasch, Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Fang Gao, Ye Yu, Feng Shuang, Lei Wang, Qiang Ling, Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection.

Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Efficient Model Integration for Snake Classification.

Jun Yu, Hao Chang, Zhongpeng Cai, Guochen Xie, Liwen Zhang, Keda Lu, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Bag of Tricks and a Strong Baseline for FGVC.

Jun Yu, Hao Chang, Keda Lu, Guochen Xie, Liwen Zhang, Zhongpeng Cai, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Aspect-Level Sentiment Analysis Approach via BERT and Aspect Feature Location Model.

Guangyao Pang, Keda Lu, Xiaoying Zhu, Jie He, Zhiyi Mo, Zizhen Peng, Baoxing Pu

Wirel. Commun. Mob. Comput., 2021

Generating transferable adversarial examples based on perceptually-aligned perturbation.

Hongqiao Chen, Keda Lu, Xianmin Wang, Jin Li

Int. J. Mach. Learn. Cybern., 2021

2020

A simulator for reinforcement learning training in the recommendation field.

Guangyao Pang, Xiaoying Zhu, Keda Lu, Zizhen Peng, Weitao Deng

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020