Microarray data classification based on ensemble independent component selection. - Kun-Hong Liu 001; Bo Li 002; Qingqiang Wu 001; Jun Zhang 011; Ji-Xiang Du; Guo-Yan Liu (Comput. Biol. Medicine, 2009)

The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data. - Kun-Hong Liu 001; Qingqiang Wu 001; Meihong Wang (ISNN (3), 2011)

Co-word analysis of the trends in stem cells field based on subject heading weighting. - Xinying An; Qingqiang Wu 001 (Scientometrics, 2011)

Topic segmentation model based on ATNLDA and co-occurrence theory and its application in stem cell field. - Qingqiang Wu 001; CaiDong Zhang; Xinying An (J. Inf. Sci., 2013)

Emerging Topic Detection Model Based on LDA and Its Application in Stem Cell Field. - Qingqiang Wu 001; Yan Zheng; Yingying She; Xinying An (CSE, 2014)

Topic evolution based on LDA and HMM and its application in stem cell research. - Qingqiang Wu 001; CaiDong Zhang; Qingqi Hong; Liyan Chen (J. Inf. Sci., 2014)

Topic-aware pivot language approach for statisticalmachine translation. - Jinsong Su; Xiaodong Shi; Yanzhou Huang; Yang Liu 005; Qingqiang Wu 001; Yidong Chen 001; Huailin Dong (J. Zhejiang Univ. Sci. C, 2014)

Fast and High Quality Suggestive Contour Generation with L0 Gradient Minimization. - Juncong Lin; Huiting Yang; Dazheng Wang; Guilin Li; Xing Gao 004; Qingqiang Wu 001; Minghong Liao (ICSI (2), 2015)

The potential relationship discovery model based on result fusion for biomedical medicine research. - Yingying She; Xiaoxia Zhang; Qian Wang; Qingqiang Wu 001 (J. Inf. Sci., 2015)

K-State automaton burst detection model based on KOS: Emerging trends in cancer field. - Qingqiang Wu 001; Haibin Zhang; Jing Lan (J. Inf. Sci., 2015)

An improved hash-based RFID two-way security authentication protocol and application in remote education. - Lvqing Yang; Qingqiang Wu 001; Youjing Bai; Huiru Zheng; Shufu Lin (J. Intell. Fuzzy Syst., 2016)

An implicit skeleton-based method for the geometry reconstruction of vasculatures. - Qingqi Hong; Yan Li; Qingde Li; Beizhan Wang; Junfeng Yao; Qingqiang Wu 001; Yingying She (Vis. Comput., 2016)

Research of Advanced GTM and Its Application to Gas-Oil Reservoir Identification. - Meihong Wang; Qingqiang Wu 001 (Int. J. Pattern Recognit. Artif. Intell., 2017)

A novel ECOC algorithm for multiclass microarray data classification based on data complexity analysis. - MengXin Sun; KunHong Liu 001; Qingqiang Wu 001; Qingqi Hong; Beizhan Wang; Haiying Zhang (Pattern Recognit., 2019)

Frontier knowledge discovery and visualization in cancer field based on KOS and LDA. - Qingqiang Wu 001; Yichen Kuang; Qingqi Hong; Yingying She (Scientometrics, 2019)

ACOL-GAN: Learning Clustering Generative Adversarial Networks through Graph-Based Activity Regularization. - Songyuan Wu; Liyao Jiao; Qingqiang Wu 001 (ICCAI, 2020)

Stacked Model with Autoencoder for Financial Time Series Prediction. - Haiying Zhang; Qiaomei Liang; Rongqi Wang; Qingqiang Wu 001 (ICCSE, 2020)

Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. - Hui Jiang; Chulun Zhou; Fandong Meng; Biao Zhang 002; Jie Zhou 016; Degen Huang; Qingqiang Wu 001; Jinsong Su (ACL/IJCNLP (1), 2021)

A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation. - Fei Xu; Lingli Lin; Dihan Li; Qingqi Hong; KunHong Liu 001; Qingqiang Wu 001; Qingde Li; Yinhuan Zheng; Jie Tian 001 (BIBM, 2021)

UFaceNet: Research on Multi-Task Face Recognition Algorithm Based on CNN. - Huoyou Li; Jianshiun Hu; Jingwen Yu; Ning Yu; Qingqiang Wu 001 (Algorithms, 2021)

A direct slicing technique for the 3D printing of implicitly represented medical models. - Qingqi Hong; Lingli Lin; Qingde Li; Ziyou Jiang; Jun Fang; Beizhan Wang; KunHong Liu 001; Qingqiang Wu 001; Chenxi Huang 001 (Comput. Biol. Medicine, 2021)

Multi-modal neural machine translation with deep semantic interactions. - Jinsong Su; Jinchang Chen; Hui Jiang; Chulun Zhou; Huan Lin; Yubin Ge; Qingqiang Wu 001; Yongxuan Lai (Inf. Sci., 2021)

The design of dynamic ensemble selection strategy for the error-correcting output codes family. - Jiayu Zou; Mengxin Sun; Kun-Hong Liu 001; Qingqiang Wu 001 (Inf. Sci., 2021)

The design of error-correcting output codes algorithm for the open-set recognition. - KunHong Liu 001; Zhan WangPing; Yi-Fan Liang; Ya-Nan Zhang; Hong-Zhou Guo; Junfeng Yao; Qingqiang Wu 001; Qingqi Hong (Appl. Intell., 2022)

The design of soft recoding-based strategies for improving error-correcting output codes. - KunHong Liu 001; Xiao-Na Ye; Hong-Zhou Guo; Qingqiang Wu 001; Qingqi Hong (Appl. Intell., 2022)

The heterogeneous ensemble of deep forest and deep neural networks for micro-expressions recognition. - Mengxin Sun; Sze-Teng Liong; Kun-Hong Liu 001; Qingqiang Wu 001 (Appl. Intell., 2022)

Effective knowledge graph embeddings based on multidirectional semantics relations for polypharmacy side effects prediction. - Junfeng Yao; Wen Sun; ZhongQuan Jian; Qingqiang Wu 001; Xiaoli Wang 002 (Bioinform., 2022)

Feature space and label space selection based on Error-correcting output codes for partial label learning. - Guangyi Lin; Zi-Yang Xiao; Jia-Tong Liu; Beizhan Wang; KunHong Liu 001; Qingqiang Wu 001 (Inf. Sci., 2022)

The design of evolutionary feature selection operator for the micro-expression recognition. - Zhan WangPing; Min Jiang 005; Junfeng Yao; KunHong Liu 001; Qingqiang Wu 001 (Memetic Comput., 2022)

Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions. - Wen Sun; Qingqiang Wu 001; Xiaoli Wang 002; Junfeng Yao; Zhifeng Bao (ADMA (4), 2023)

A Long-Tail Relation Extraction Model Based on Dependency Path and Relation Graph Embedding. - Yifan Li; Yanxiang Zong; Wen Sun; Qingqiang Wu 001; Qingqi Hong (APWeb-WAIM (2), 2023)

Cluster Equality Validity Index and Efficient Clustering Optimization Strategy. - Zebin Huang; Ning Yu; Qingqiang Wu 001; Kunhong Liu 001 (ICIC (4), 2023)

Combining Structure Embedding and Text Semantics for Efficient Knowledge Graph Completion. - Wen Sun; Yifan Li; Junfeng Yao; Qingqiang Wu 001; Kunhong Liu 001 (SEKE, 2023)

The design of error-correcting output codes based deep forest for the micro-expression recognition. - Wei-Ping Lin; Qi-Chao Ge; Sze-Teng Liong; Jia-Tong Liu; Kunhong Liu 001; Qingqiang Wu 001 (Appl. Intell., 2023)

Block Division Convolutional Network With Implicit Deep Features Augmentation for Micro-Expression Recognition. - Bin Chen; Kunhong Liu 001; Yong Xu 009; Qingqiang Wu 001; Junfeng Yao (IEEE Trans. Multim., 2023)

A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction. - Lianlian Wu; Xiaona Ye; Yixin Zhang; Jie Gao; Zhikai Lin; Binsheng Sui; Yuqi Wen; Qingqiang Wu 001; Kunhong Liu 001; Song He; Xiaochen Bo (J. Chem. Inf. Model., 2023)

Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition. - Mengxin Sun; Li-Yan Chen; Kunhong Liu 001; Sze-Teng Liong; Qingqiang Wu 001 (Signal Process. Image Commun., 2023)

A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes. - Guangyi Lin; Jie Gao; Nan Zeng; Yong Xu 009; Kunhong Liu 001; Beizhan Wang; Junfeng Yao; Qingqiang Wu 001 (Pattern Recognit., 2023)

EmoTrans: Emotional Transition-based Model for Emotion Recognition in Conversation. - Zhongquan Jian; Ante Wang; Jinsong Su; Junfeng Yao; Meihong Wang; Qingqiang Wu 001 (LREC/COLING, 2024)

iCCBT, an Interactive Approach of CBT for Online Psychological Intervention. - Yuhan Liao; Fang Liu; Lin Lin; Mingbo Hou; Yingying She; Hang Wu; Bin Hu 001; Qingqiang Wu 001 (CSCWD, 2024)

ANDI: a Joint Disambiguation Framework Integrating Author Name Disambiguation Goals. - Tao Liu; Xinfeng Zeng; Qingqiang Wu 001; Meihong Wang (DASFAA (5), 2024)

Dual-view Enhanced Knowledge Contrastive Learning for Recommendation. - Weijun Xu; Fan Gao; Jinsong Su; Qingqiang Wu 001; Meihong Wang (DASFAA (4), 2024)

Data-free Knowledge Distillation based on GNN for Node Classification. - Xinfeng Zeng; Tao Liu; Ming Zeng; Qingqiang Wu 001; Meihong Wang (DASFAA (2), 2024)

ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. - Jiahui Chen; Chuanfeng Yang; Kaiheng Li; Qingqiang Wu 001; Qingqi Hong (ICANN (2), 2024)

Conversation Clique-Based Model for Emotion Recognition In Conversation. - Zhongquan Jian; Jiajian Li; Junfeng Yao; Meihong Wang; Qingqiang Wu 001 (ICASSP, 2024)

HAUR: Human Annotation Understanding and Recognition Through Text-Heavy Images. - Yuchen Yang; Haoran Yan; Yanhao Chen; Qingqiang Wu 001; Qingqi Hong (CoRR, 2024)

Retrieval Contrastive Learning for Aspect-Level Sentiment Classification. - ZhongQuan Jian; Jiajian Li; Qingqiang Wu 001; Junfeng Yao (Inf. Process. Manag., 2024)

A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification. - Qingqi Hong; Lingli Lin; Zihan Li; Qingde Li; Junfeng Yao; Qingqiang Wu 001; Kunhong Liu 001; Jie Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

NeuFG: Neural Fuzzy Geometric Representation for 3-D Reconstruction. - Qingqi Hong; Chuanfeng Yang; Jiahui Chen; Zihan Li; Qingqiang Wu 001; Qingde Li; Jie Tian 001 (IEEE Trans. Fuzzy Syst., 2024)

SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction. - Zhongquan Jian; Yanhao Chen; Jiajian Li; Shaopan Wang; Xiangjian Zeng; Junfeng Yao; Xinying An; Qingqiang Wu 001 (AAAI, 2025)

DTCRS: Dynamic Tree Construction for Recursive Summarization. - Guanran Luo; Zhongquan Jian; Wentao Qiu; Meihong Wang; Qingqiang Wu 001 (ACL (1), 2025)

AGCL: Aspect Graph Construction and Learning for Aspect-level Sentiment Classification. - Zhongquan Jian; Daihang Wu; Shaopan Wang; Yancheng Wang; Junfeng Yao; Meihong Wang; Qingqiang Wu 001 (COLING, 2025)

ARVideoCam: An AR-Guided Method to Assist Novice Users in Shooting Video. - Yuxin Zhu; Fang Liu; Jiefeng Li; Yingying She; Baorong Yang; Qingqiang Wu 001 (CSCWD, 2025)

Emotional Knowledge Self-Distillation in Dialogue. - Zhongquan Jian; Yancheng Wang; Weichao Wu; Junfeng Yao; Meihong Wang; Qingqiang Wu 001 (ICASSP, 2025)

Curriculum Contrastive Learning for Aspect-based Sentiment Analysis. - Zhongquan Jian; Daihang Wu; Xiangjian Zeng; Junfeng Yao; Meihong Wang; Qingqiang Wu 001 (ICASSP, 2025)

Enhancing Information Extraction with METORIE: A Metaphor and Trap-Based Dataset for Cross-Domain Fine-Tuning. - Zhengyuan Pan; Yilian Peng; Zhongquan Jian; Yanhao Chen; Wentao Qiu; Haonan Ma; Junfeng Yao; Meihong Wang; Qingqiang Wu 001 (ICASSP, 2025)

An Intra- and Cross-frame Topological Consistency Scheme for Semi-supervised Atherosclerotic Coronary Plaque Segmentation. - Ziheng Zhang; Zihan Li; Dandan Shan; Yuehui Qiu; Qingqi Hong; Qingqiang Wu 001 (ICASSP, 2025)

Multi-views Emotional Knowledge Extraction for Emotion Recognition in Conversation. - Zhongquan Jian; Daihang Wu; Shaopan Wang; Jiezhou He; Junfeng Yao; Kunhong Liu 001; Qingqiang Wu 001 (Knowl. Based Syst., 2025)

Aspect sentiment learning for Aspect-Level Sentiment Classification. - Zhongquan Jian; Jiajian Li; Meihong Wang; Junfeng Yao; Qingqiang Wu 001 (Neural Networks, 2025)