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Keda Lu
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2020 – today
- 2024
- [c9]Ziqi Liang, Haoxiang Shi, Jiawei Wang, Keda Lu:
EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech. CSCWD 2024: 1134-1139 - [i3]Ziqi Liang, Haoxiang Shi, Jiawei Wang, Keda Lu:
EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech. CoRR abs/2403.08164 (2024) - 2023
- [c8]Shenshen Du, Jun Yu, Guochen Xie, Renjie Lu, Pengwei Li, Zhongpeng Cai, Keda Lu:
SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement. AI (1) 2023: 91-102 - [c7]Jun Yu
, Mohan Jing
, Weihao Liu
, Tongxu Luo
, Bingyuan Zhang
, Keda Lu
, Fangyu Lei
, Jianqing Sun
, Jiaen Liang
:
Answer-Based Entity Extraction and Alignment for Visual Text Question Answering. ACM Multimedia 2023: 9487-9491 - [c6]Jun Yu
, Keda Lu
, Mohan Jing
, Ziqi Liang
, Bingyuan Zhang
, Jianqing Sun
, Jiaen Liang
:
Sliding Window Seq2seq Modeling for Engagement Estimation. ACM Multimedia 2023: 9496-9500 - [i2]Jun Yu, Shenshen Du, Renjie Lu, Pengwei Li, Guochen Xie, Zhongpeng Cai, Keda Lu, Qing Ling, Cong Wang, Luyu Qiu, Wei Zheng:
SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement. CoRR abs/2304.04760 (2023) - 2022
- [c5]Jun Yu, Hao Chang, Zhongpeng Cai, Guochen Xie, Liwen Zhang, Keda Lu, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang:
Efficient Model Integration for Snake Classification. CLEF (Working Notes) 2022: 2262-2274 - [c4]Jun Yu, Hao Chang, Keda Lu, Guochen Xie, Liwen Zhang, Zhongpeng Cai, Shenshen Du, Zhihong Wei, Zepeng Liu, Fang Gao, Feng Shuang:
Bag of Tricks and a Strong Baseline for FGVC. CLEF (Working Notes) 2022: 2275-2290 - [c3]Jun Yu, Liwen Zhang, Shenshen Du, Hao Chang, Keda Lu, Zhong Zhang, Ye Yu, Lei Wang, Qiang Ling:
Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection. CVPR Workshops 2022: 304-311 - [c2]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:
Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022. CVPR Workshops 2022: 389-397 - [i1]Jun Yu, Hao Chang, Keda Lu, Liwen Zhang, Shenshen Du, Zhong Zhang:
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification. CoRR abs/2205.01920 (2022) - 2021
- [j2]Hongqiao Chen, Keda Lu, Xianmin Wang, Jin Li:
Generating transferable adversarial examples based on perceptually-aligned perturbation. Int. J. Mach. Learn. Cybern. 12(11): 3295-3307 (2021) - [j1]Guangyao Pang
, Keda Lu, Xiaoying Zhu, Jie He, Zhiyi Mo, Zizhen Peng
, Baoxing Pu:
Aspect-Level Sentiment Analysis Approach via BERT and Aspect Feature Location Model. Wirel. Commun. Mob. Comput. 2021: 5534615:1-5534615:13 (2021) - 2020
- [c1]Guangyao Pang, Xiaoying Zhu, Keda Lu, Zizhen Peng, Weitao Deng:
A simulator for reinforcement learning training in the recommendation field. ISPA/BDCloud/SocialCom/SustainCom 2020: 1037-1042
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last updated on 2024-07-19 18:32 CEST by the dblp team
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