Kunhong Liu - RankMe

87 papers A* 3A 2B 7C 2Misc 1Journal 52Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MDGP-forest: A novel deep forest for multi-class imbalanced learning based on multi-class disassembly and feature construction enhanced by genetic programming. Pattern Recognit. Zhikai Lin, Yong Xu, Kunhong Liu, Liyan Chen
2026	J	`jnl`	MOCT: A Multi-Class Oblique Tree Algorithm for Synergistic Drug Combination Prediction. IEEE Trans. Comput. Biol. Bioinform. Zhikai Lin, Jing Chen, Lianlian Wu, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo
2026	A*	`conf`	Stepwise Contrastive Reasoning for Retrieval-Augmented Generation over Knowledge Graphs. AAAI Chenxiao Lin, Ye Luo, Kunhong Liu, Qingqiang Wu
2025	J	`jnl`	A feature pair-based neural network embedded decision tree for synergistic drug combination prediction. Pattern Recognit. Jiayu Zou, Lianlian Wu, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo
2025	A	`conf`	Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling. ICME Min Zhang, Zilin Wang, Liyan Chen, Kunhong Liu, Juncong Lin
2025	—	`conf`	Hard Sample Mining-Based Tongue Diagnosis for Fatty Liver Disease Severity Classification. MICCAI (15) Tao Chen, Jie Gao, Yong Xu, Weihong Qiu, Yijie Wu, Weimin Ye, Kunhong Liu
2025	J	`jnl`	Micro-expression recognition in wild video environments: Latent feature-based ANN (LFANN) from 3D reconstructed faces. Neurocomputing Yee Siang Gan, Kunhong Liu, Gen-Bing Liong, Sze-Teng Liong
2025	J	`jnl`	Multi-task multi-view and iterative error-correcting random forest for acute toxicity prediction. Expert Syst. Appl. Jie Gao, Lianlian Wu, Guangyi Lin, Jiayu Zou, Bowei Yan, Kunhong Liu, Song He, Xiaochen Bo
2025	J	`jnl`	Multi-views Emotional Knowledge Extraction for Emotion Recognition in Conversation. Knowl. Based Syst. Zhongquan Jian, Daihang Wu, Shaopan Wang, Jiezhou He, Junfeng Yao, Kunhong Liu, Qingqiang Wu
2025	J	`jnl`	RL-GCL: Reinforcement Learning-Guided Contrastive Learning for molecular property prediction. Inf. Fusion Yanran Fu, Junshan Han, Yong Xu, Kunhong Liu, Jiang Lu, Song He, Xiaochen Bo
2024	J	`jnl`	A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification. IEEE Trans. Neural Networks Learn. Syst. Qingqi Hong, Lingli Lin, Zihan Li, Qingde Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu, Jie Tian
2024	J	`jnl`	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. Shutong Xie, Zongbao He, Yee Man Loh, Yu Yang, Kunhong Liu, Chao Liu, Chi Fai Cheung, Nan Yu, Chunjin Wang
2024	J	`jnl`	An Ensemble Cascade Forest-Based Framework for Multi-Omics Drug Response and Synergy Prediction. Adv. Intell. Syst. Ruijiang Li, Binsheng Sui, Dongjin Leng, Song He, Kunhong Liu, Xiaochen Bo
2024	J	`jnl`	An adaptive error-correcting output codes algorithm based on gene expression programming and similarity measurement matrix. Pattern Recognit. Shutong Xie, Zong-Bao He, Lifang Pan, Kunhong Liu, Shubin Su
2024	A	`conf`	Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN. ICME Jiacheng Su, Kunhong Liu, Liyan Chen, Junfeng Yao, Qingsong Liu, Dongdong Lv
2024	J	`jnl`	Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN. CoRR Jiacheng Su, Kunhong Liu, Liyan Chen, Junfeng Yao, Qingsong Liu, Dongdong Lv
2024	—	`conf`	CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions. BIBM Jiayu Zou, Lianlian Wu, Weiping Lin, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo
2024	J	`jnl`	Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling. CoRR Min Zhang, Zilin Wang, Liyan Chen, Kunhong Liu, Juncong Lin
2024	J	`jnl`	Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction. Inf. Sci. Qiong Tan, Yuqi Wen, Yong Xu, Kunhong Liu, Song He, Xiaochen Bo
2024	J	`jnl`	TWACapsNet: a capsule network with two-way attention mechanism for speech emotion recognition. Soft Comput. Xin-Cheng Wen, Kunhong Liu, Yan Luo, Jiaxin Ye, Li-Yan Chen
2023	J	`jnl`	A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction. J. Chem. Inf. Model. Lianlian Wu, Xiaona Ye, Yixin Zhang, Jie Gao, Zhikai Lin, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu, Song He, Xiaochen Bo
2023	—	`conf`	A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction. BIBM Siyang Chen, Lianlian Wu, Yong Xu, Kunhong Liu, Song He, Xiaochen Bo
2023	J	`jnl`	A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. Pattern Recognit. Guangyi Lin, Jie Gao, Nan Zeng, Yong Xu, Kunhong Liu, Beizhan Wang, Junfeng Yao, Qingqiang Wu
2023	J	`jnl`	Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition. IEEE Trans. Multim. Bin Chen, Kunhong Liu, Yong Xu, Qingqiang Wu, Junfeng Yao
2023	—	`conf`	Cluster Equality Validity Index and Efficient Clustering Optimization Strategy. ICIC (4) Zebin Huang, Ning Yu, Qingqiang Wu, Kunhong Liu
2023	C	`conf`	Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. SEKE Wen Sun, Yifan Li, Junfeng Yao, Qingqiang Wu, Kunhong Liu
2023	J	`jnl`	Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene. IEEE Trans. Instrum. Meas. Qianhui Yang, Kunhong Liu, Yu Xie, Xiangyi Huang
2023	J	`jnl`	EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction. BMC Bioinform. Jing Chen, Lianlian Wu, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo
2023	—	`conf`	EduAction: A College Student Action Dataset for Classroom Attention Estimation. ICIC (4) Kunhong Liu, Bin Chen, Liyan Chen, Yong Xu, Lu Lin, Fan Gao, Yudi Zhao
2023	A*	`conf`	Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. ACM Multimedia Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan
2023	J	`jnl`	Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. CoRR Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan
2023	J	`jnl`	Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition. Signal Process. Image Commun. Mengxin Sun, Li-Yan Chen, Kunhong Liu, Sze-Teng Liong, Qingqiang Wu
2023	J	`jnl`	Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions? Neurocomputing Yee Siang Gan, Gen-Bing Liong, Kunhong Liu, Sze-Teng Liong
2023	Misc	`conf`	Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. ICASSP Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan
2023	J	`jnl`	The design of error-correcting output codes based deep forest for the micro-expression recognition. Appl. Intell. Weiping Lin, Qi-Chao Ge, Sze-Teng Liong, Jia-Tong Liu, Kunhong Liu, Qingqiang Wu
2023	A*	`conf`	Towards Open-Set Material Recognition using Robot Tactile Sensing. ICRA Kunhong Liu, Qianhui Yang, Yu Xie, Xiangyi Huang
2022	—	`conf`	A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction. BIBM Yuting Zhong, Bowei Yan, Kunhong Liu, Yong Xu, Song He, Xiaochen Bo
2022	—	`conf`	Classroom Attention Estimation Method Based on Mining Facial Landmarks of Students. MMM (2) Liyan Chen, Haoran Yang, Kunhong Liu
2022	J	`jnl`	Feature space and label space selection based on Error-correcting output codes for partial label learning. Inf. Sci. Guangyi Lin, Zi-Yang Xiao, Jia-Tong Liu, Beizhan Wang, Kunhong Liu, Qingqiang Wu
2022	J	`jnl`	GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition. Speech Commun. Jiaxin Ye, Xin-Cheng Wen, Xuan-Ze Wang, Yong Xu, Yan Luo, Chang-Li Wu, Li-Yan Chen, Kunhong Liu
2022	J	`jnl`	Needle in a Haystack: Spotting and recognising micro-expressions "in the wild". Neurocomputing Yee Siang Gan, John See, Huai-Qian Khor, Kunhong Liu, Sze-Teng Liong
2022	J	`jnl`	Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. CoRR Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan
2022	J	`jnl`	The design of error-correcting output codes algorithm for the open-set recognition. Appl. Intell. Kunhong Liu, Zhan WangPing, Yi-Fan Liang, Ya-Nan Zhang, Hong-Zhou Guo, Junfeng Yao, Qingqiang Wu, Qingqi Hong
2022	J	`jnl`	The design of evolutionary feature selection operator for the micro-expression recognition. Memetic Comput. Zhan WangPing, Min Jiang, Junfeng Yao, Kunhong Liu, Qingqiang Wu
2022	J	`jnl`	The design of soft recoding-based strategies for improving error-correcting output codes. Appl. Intell. Kunhong Liu, Xiao-Na Ye, Hong-Zhou Guo, Qingqiang Wu, Qingqi Hong
2021	—	`conf`	A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. BIBM Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong, Kunhong Liu, Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian
2021	J	`jnl`	A direct slicing technique for the 3D printing of implicitly represented medical models. Comput. Biol. Medicine Qingqi Hong, Lingli Lin, Qingde Li, Ziyou Jiang, Jun Fang, Beizhan Wang, Kunhong Liu, Qingqiang Wu, Chenxi Huang
2021	J	`jnl`	A novel error-correcting output codes based on genetic programming and ternary digit operators. Pattern Recognit. Yifan Liang, Chang Liu, Han-Rui Wang, Kunhong Liu, Jun-Feng Yao, Yingying She, Guiming Dai, Yuna Okina
2021	J	`jnl`	An improved deep forest for alleviating the data imbalance problem. Soft Comput. Jie Gao, Kunhong Liu, Beizhan Wang, Dong Wang, Qingqi Hong
2021	—	`conf`	FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening. BIBM Jiatong Liu, Changbin Pan, Dongdong Chen, Weiping Lin, Shangyuan Feng, Sufang Qiu, Beizhan Wang, Kunhong Liu
2021	J	`jnl`	Improving deep forest by ensemble pruning based on feature vectorization and quantum walks. Soft Comput. Jie Gao, Kunhong Liu, Beizhan Wang, Dong Wang, Xiaoyan Zhang
2021	J	`jnl`	Partial label learning based on label distributions and error-correcting output codes. Soft Comput. Guangyi Lin, Kunhong Liu, Beizhan Wang, Xiaoyan Zhang
2020	J	`jnl`	High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations. Comput. Methods Programs Biomed. Qingqi Hong, Qingde Li, Beizhan Wang, Jie Tian, Fei Xu, Kunhong Liu, Xuan Cheng
2020	J	`jnl`	Imprecise Deep Forest for Partial Label Learning. IEEE Access Jie Gao, Weiping Lin, Kunhong Liu, Qingqi Hong, Guangyi Lin, Beizhan Wang
2019	—	`conf`	A Dynamic Ensemble Selection Strategy for Improving Error Correcting Output Codes Algorithm. ISPA/BDCloud/SocialCom/SustainCom Jiayu Zou, Kunhong Liu, YeFan Huang
2019	J	`jnl`	A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis. Pattern Recognit. Mengxin Sun, Kunhong Liu, Qingqiang Wu, Qingqi Hong, Beizhan Wang, Haiying Zhang
2019	J	`jnl`	High Precision Implicit Modeling for Patient-Specific Coronary Arteries. IEEE Access Qingqi Hong, Qingde Li, Beizhan Wang, Kunhong Liu, Quan Qi
2019	—	`conf`	The Research of Ternary Error-Correcting Output Codes Based on Genetic Programming. ISPA/BDCloud/SocialCom/SustainCom Yifan Liang, Chang Liu, Hanrui Wang, Kunhong Liu
2019	—	`conf`	Vascular Model Editing for 3D Printing Based on Implicit Functions. IGTA Beizhan Wang, Qichao Ge, Qingqi Hong, Yangjing Li, Kunhong Liu, Ziyou Jiang
2018	B	`conf`	A New ECOC Algorithm for Multiclass Microarray Data Classification. ICPR Mengxin Sun, Kunhong Liu, Qingqi Hong, Beizhan Wang
2018	J	`jnl`	A New ECOC Algorithm for Multiclass Microarray Data Classification. CoRR Mengxin Sun, Kunhong Liu, Qingqi Hong, Beizhan Wang
2018	—	`conf`	A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. ICIC (2) Kaijie Feng, Kunhong Liu, Beizhan Wang
2018	J	`jnl`	A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. CoRR Kaijie Feng, Kunhong Liu, Beizhan Wang
2018	J	`jnl`	Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions. Comput. Aided Geom. Des. Qingqi Hong, Qingde Li, Beizhan Wang, Kunhong Liu, Fan Lin, Juncong Lin, Xuan Cheng, Zhihong Zhang, Ming Zeng
2017	—	`conf`	A Genetic Programming Based ECOC Algorithm for Microarray Data Classification. ICONIP (6) HanRui Wang, KeSen Li, Kunhong Liu
2017	—	`conf`	An ECOC Approach for Microarray Data Classification Based on Minimizing Feature Related Complexities. ISCID (1) Mengxin Sun, Kunhong Liu, Qingqi Hong
2017	—	`conf`	Genetic Programming Based ECOC for Multiclass Microarray Data Classification. ISCID (1) Jiajun Wang, Kunhong Liu, Mengxin Sun, Qingqi Hong
2017	—	`conf`	Multiclass Microarray Data Classification Based on SA-ECOC. ISCID (1) Tianyun Zhong, Jiajun Wang, Kunhong Liu, Beizhan Wang, Qingqi Hong
2014	—	`conf`	Fusing Decision Trees Based on Genetic Programming for Classification of Microarray Datasets. ICIC (2) Kunhong Liu, Muchenxuan Tong, Shu-Tong Xie, Zhihao Zeng
2013	J	`jnl`	An ensemble of SVM classifiers based on gene pairs. Comput. Biol. Medicine Muchenxuan Tong, Kunhong Liu, Chungui Xu, Wenbin Ju
2009	J	`jnl`	A genetic programming-based approach to the classification of multiclass microarray datasets. Bioinform. Kunhong Liu, Chun-Gui Xu
2009	C	`conf`	The analysis of microarray datasets using a genetic programming. CIBCB Chun-Gui Xu, Kunhong Liu, De-Shuang Huang
2008	—	`conf`	A GP Based Approach to the Classification of Multiclass Microarray Datasets. ICIC (2) Chun-Gui Xu, Kunhong Liu
2008	J	`jnl`	Cancer classification using Rotation Forest. Comput. Biol. Medicine Kunhong Liu, De-Shuang Huang
2008	B	`conf`	Constrained Maximum Variance Mapping. IJCNN Bo Li, De-Shuang Huang, Kunhong Liu
2008	J	`jnl`	Feature extraction using constrained maximum variance mapping. Pattern Recognit. Bo Li, De-Shuang Huang, Chao Wang, Kunhong Liu
2008	J	`jnl`	Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm. Photonic Netw. Commun. Kunhong Liu, Yong Xu, De-Shuang Huang, Min Cheng
2007	B	`conf`	A Hybrid HMM/ANN Based Approach for Online Signature Verification. IJCNN Zhong-Hua Quan, De-Shuang Huang, Kunhong Liu, Kwok-Wing Chau
2007	B	`conf`	Application of Self-Organizing Map in Aerosol Single Particles Data Clustering. IJCNN Guo-Zhu Wen, Xiao-Yong Guo, De-Shuang Huang, Kunhong Liu
2007	—	`ch.`	Evolutionary Grooming of Traffic in WDM Optical Networks. Advances in Evolutionary Computing for System Design Yong Xu, Kunhong Liu
2007	B	`conf`	Improving the performance of ICA based microarray data prediction models with genetic algorithm. IEEE Congress on Evolutionary Computation Kunhong Liu, De-Shuang Huang, Bo Li
2007	B	`conf`	Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation Kunhong Liu, De-Shuang Huang, Jun Zhang
2007	B	`conf`	Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation Jun Zhang, De-Shuang Huang, Kunhong Liu
2006	J	`jnl`	A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation CoRR Kunhong Liu, Yong Xu, De-Shuang Huang
2006	J	`jnl`	Grooming of Dynamic Traffic in WDM Star and Tree Networks Using Genetic Algorithm CoRR Kunhong Liu, Yong Xu, De-Shuang Huang, Min Cheng
2005	J	`jnl`	Combining GA with Splitting Methods for Rearrangeably Nonblocking Grooming of Dynamic Traffic in SONET Ring Networks. Photonic Netw. Commun. Kunhong Liu, Yong Xu
2004	J	`jnl`	A new approach to improving the grooming performance with dynamic traffic in SONET rings. Comput. Networks Kunhong Liu, Yong Xu