Kunhong Liu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 22

Top Topics

Convolutional Network

Ensemble Learning

Speech Emotion Recognition

Differential Evolution

Top Venues

Pattern Recognit.

Publications

Shutong Xie, Zongbao He, Yee Man Loh, Yu Yang, Kunhong Liu, Chao Liu, Chi Fai Cheung, Nan Yu, Chunjin Wang
A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing. J. Intell. Manuf. 35 (6) (2024)
Qiong Tan, Yuqi Wen, Yong Xu, Kunhong Liu, Song He, Xiaochen Bo
Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction. Inf. Sci. 667 (2024)
Shutong Xie, Zong-Bao He, Lifang Pan, Kunhong Liu, Shubin Su
An adaptive error-correcting output codes algorithm based on gene expression programming and similarity measurement matrix. Pattern Recognit. 145 (2024)
Jiacheng Su, Kunhong Liu, Liyan Chen, Junfeng Yao, Qingsong Liu, Dongdong Lv
Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN. CoRR (2024)
Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. ACM Multimedia (2023)
Wei-Ping Lin, Qi-Chao Ge, Sze-Teng Liong, Jia-Tong Liu, Kunhong Liu, Qing-Qiang Wu
The design of error-correcting output codes based deep forest for the micro-expression recognition. Appl. Intell. 53 (3) (2023)
Zebin Huang, Ning Yu, Qingqiang Wu, Kunhong Liu
Cluster Equality Validity Index and Efficient Clustering Optimization Strategy. ICIC (4) (2023)
Qianhui Yang, Kunhong Liu, Yu Xie, Xiangyi Huang
Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene. IEEE Trans. Instrum. Meas. 72 (2023)
Kunhong Liu, Qianhui Yang, Yu Xie, Xiangyi Huang
Towards Open-Set Material Recognition using Robot Tactile Sensing. ICRA (2023)
Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. ICASSP (2023)
Wen Sun, Yifan Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu
Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. SEKE (2023)
Lianlian Wu, Xiaona Ye, Yixin Zhang, Jie Gao, Zhikai Lin, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu, Song He, Xiaochen Bo
A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction. J. Chem. Inf. Model. 63 (12) (2023)
Jing Chen, Lianlian Wu, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo
EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction. BMC Bioinform. 24 (1) (2023)
Mengxin Sun, Li-Yan Chen, Kunhong Liu, Sze-Teng Liong, Qing-Qiang Wu
Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition. Signal Process. Image Commun. 115 (2023)
Yee Siang Gan, Gen-Bing Liong, Kunhong Liu, Sze-Teng Liong
Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions? Neurocomputing 539 (2023)
Guangyi Lin, Jie Gao, Nan Zeng, Yong Xu, Kunhong Liu, Beizhan Wang, Junfeng Yao, Qingqiang Wu
A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. Pattern Recognit. 143 (2023)
Kunhong Liu, Bin Chen, Liyan Chen, Yong Xu, Lu Lin, Fan Gao, Yudi Zhao
EduAction: A College Student Action Dataset for Classroom Attention Estimation. ICIC (4) (2023)
Siyang Chen, Lianlian Wu, Yong Xu, Kunhong Liu, Song He, Xiaochen Bo
A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction. BIBM (2023)
Bin Chen, Kunhong Liu, Yong Xu, Qingqiang Wu, Junfeng Yao
Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition. IEEE Trans. Multim. 25 (2023)
Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. CoRR (2023)
Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan
Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. CoRR (2022)
Jiaxin Ye, Xin-Cheng Wen, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kunhong Liu
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition. Speech Commun. 145 (2022)