A Refinement Approach to Handling Model Misfit in Semi-supervised Learning. - Hanjing Su; Ling Chen 006; Yunming Ye; Zhaocai Sun; Qingyao Wu (ADMA (2), 2010)

Exploiting Word Cluster Information for Unsupervised Feature Selection. - Qingyao Wu; Yunming Ye; Michael K. Ng 001; Hanjing Su; Joshua Zhexue Huang (PRICAI, 2010)

Stratified Random Forest for Genome-wide Association Study. - Qingyao Wu; Yunming Ye; Yang Liu 100; Michael K. Ng 001 (BIBM, 2011)

MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension. - Xutao Li; Yunming Ye; Qingyao Wu; Michael K. Ng 001 (BIBM, 2012)

Cluster tree based multi-label classification for protein function prediction. - Qingyao Wu; Yunming Ye; Xiaofeng Zhang 002; Shen-Shyang Ho (BIBM, 2013)

Unknown Chinese word extraction based on variety of overlapping strings. - Yunming Ye; Qingyao Wu; Yan Li 040; Kam-Pui Chow; Lucas Chi Kwong Hui; Siu-Ming Yiu (Inf. Process. Manag., 2013)

Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm. - Qingyao Wu; Michael K. Ng 001; Yunming Ye (Knowl. Inf. Syst., 2013)

Stratified sampling for feature subspace selection in random forests for high dimensional data. - Yunming Ye; Qingyao Wu; Joshua Zhexue Huang; Michael K. Ng 001; Xutao Li (Pattern Recognit., 2013)

A Generative Model with Network Regularization for Semi-Supervised Collective Classification. - Ruichao Shi; Qingyao Wu; Yunming Ye; Shen-Shyang Ho (SDM, 2014)

Collective prediction of protein functions from protein-protein interaction networks. - Qingyao Wu; Yunming Ye; Michael K. Ng 001; Shen-Shyang Ho; Ruichao Shi (BMC Bioinform., 2014)

Cotransfer Learning Using Coupled Markov Chains with Restart. - Qingyao Wu; Michael K. Ng 001; Yunming Ye (IEEE Intell. Syst., 2014)

Multi-label collective classification via Markov chain based learning method. - Qingyao Wu; Michael K. Ng 001; Yunming Ye; Xutao Li; Ruichao Shi; Yan Li 040 (Knowl. Based Syst., 2014)

ForesTexter: An efficient random forest algorithm for imbalanced text categorization. - Qingyao Wu; Yunming Ye; Haijun Zhang 002; Michael K. Ng 001; Shen-Shyang Ho (Knowl. Based Syst., 2014)

Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. - Qingyao Wu; Jian Chen 011; Shen-Shyang Ho; Xutao Li; Huaqing Min; Chao Han 002 (Big Data Res., 2015)

Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests. - Thanh-Tung Nguyen; Joshua Zhexue Huang; Qingyao Wu; Thuy Thi Nguyen; Mark Junjie Li (BMC Genom., 2015)

Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization. - Qingyao Wu; Zhenyu Wang; Chunshan Li; Yunming Ye; Yueping Li; Ning Sun (BMC Syst. Biol., 2015)

Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction. - Chao Han 002; Jian Chen 011; Qingyao Wu; Shuai Mu; Huaqing Min (J. Bioinform. Comput. Biol., 2015)

NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification. - Qingyao Wu; Mingkui Tan; Xutao Li; Huaqing Min; Ning Sun (Knowl. Based Syst., 2015)

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. - Qingyao Wu; Yunming Ye; Haijun Zhang 002; Tommy W. S. Chow; Shen-Shyang Ho (IEEE Trans. Neural Networks Learn. Syst., 2015)

Online Multi-Instance Multi-Label learning for protein function prediction. - Feng Wu 004; Qiong Liu 006; Tianyong Hao; Xiaojun Chen 006; Qingyao Wu (BIBM, 2016)

Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. - Yuguang Yan; Qingyao Wu; Mingkui Tan; Huaqing Min (ECCV Workshops (3), 2016)

Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation. - Yongxin Liao; Shenxi Yuan; Jian Chen 011; Qingyao Wu; Bin Li 073 (PAKDD (1), 2016)

Multi-instance multi-label distance metric learning for genome-wide protein function prediction. - Yonghui Xu; Huaqing Min; Hengjie Song; Qingyao Wu (Comput. Biol. Chem., 2016)

The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs. - Yong Guo; Mingkui Tan; Qingyao Wu; Jian Chen 011; Anton van den Hengel; Qinfeng Shi (CoRR, 2016)

A fast Markov chain based algorithm for MIML learning. - Michael K. Ng 001; Qingyao Wu; Chenyang Shen (Neurocomputing, 2016)

Online Feature Selection of Class Imbalance via PA Algorithm. - Chao Han 002; Yun-Kun Tan; Jin-Hui Zhu; Yong Guo; Jian Chen 011; Qingyao Wu (J. Comput. Sci. Technol., 2016)

ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification. - Qingyao Wu; Mingkui Tan; Hengjie Song; Jian Chen 011; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2016)

Individual Judgments Versus Consensus: Estimating Query-URL Relevance. - Hengjie Song; Yonghui Xu; Huaqing Min; Qingyao Wu; Wei Wei 002; Jianshu Weng; Xiaogang Han; Qiang Yang 001; Jialiang Shi; Jiaqian Gu; Chunyan Miao; Toyoaki Nishida (ACM Trans. Web, 2016)

On the Flatness of Loss Surface for Two-layered ReLU Networks. - Jiezhang Cao; Qingyao Wu; Yuguang Yan; Li Wang 033; Mingkui Tan (ACML, 2017)

A Self-Balanced Min-Cut Algorithm for Image Clustering. - Xiaojun Chen 006; Joshua Zhexue Huang; Feiping Nie 001; Renjie Chen 004; Qingyao Wu (ICCV, 2017)

Tensor Based Relations Ranking for Multi-relational Collective Classification. - Chao Han 002; Qingyao Wu; Michael K. Ng 001; Jiezhang Cao; Mingkui Tan; Jian Chen 011 (ICDM, 2017)

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. - Yuguang Yan; Wen Li 001; Michael K. P. Ng 001; Mingkui Tan; Hanrui Wu; Huaqing Min; Qingyao Wu (IJCAI, 2017)

Extremely Randomized Forest with Hierarchy of Multi-label Classifiers. - Jinxia Li; Yihan Zheng; Chao Han 002; Qingyao Wu; Jian Chen 011 (IScIDE, 2017)

Online transfer learning by leveraging multiple source domains. - Qingyao Wu; Xiaoming Zhou; Yuguang Yan; Hanrui Wu; Huaqing Min (Knowl. Inf. Syst., 2017)

Leveraging question target word features through semantic relation expansion for answer type classification. - Tianyong Hao; Wenxiu Xie; Qingyao Wu; Heng Weng; Yingying Qu (Knowl. Based Syst., 2017)

Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. - Qingyao Wu; Hanrui Wu; Xiaoming Zhou; Mingkui Tan; Yonghui Xu; Yuguang Yan; Tianyong Hao (IEEE Trans. Knowl. Data Eng., 2017)

A Unified Framework for Metric Transfer Learning. - Yonghui Xu; Sinno Jialin Pan; Hui Xiong 001; Qingyao Wu; Ronghua Luo; Huaqing Min; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2017)

MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation. - Xutao Li; Michael K. Ng 001; Gao Cong; Yunming Ye; Qingyao Wu (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Stratified Feature Ranking Method for Supervised Feature Selection. - Renjie Chen 004; Xiaojun Chen 006; Guowen Yuan; Wenya Sun; Qingyao Wu (AAAI, 2018)

Double Forward Propagation for Memorized Batch Normalization. - Yong Guo; Qingyao Wu; Chaorui Deng; Jian Chen 011; Mingkui Tan (AAAI, 2018)

Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. - Junhong Huang; Mingkui Tan; Yuguang Yan; Chunmei Qing; Qingyao Wu; Zhuliang Yu (ACML, 2018)

Adversarial Learning with Local Coordinate Coding. - Jiezhang Cao; Yong Guo; Qingyao Wu; Chunhua Shen; Junzhou Huang; Mingkui Tan (ICML, 2018)

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. - Yuguang Yan; Wen Li 001; Hanrui Wu; Huaqing Min; Mingkui Tan; Qingyao Wu (IJCAI, 2018)

Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. - Yifan Zhang 004; Peilin Zhao; Jiezhang Cao; Wenye Ma; Junzhou Huang; Qingyao Wu; Mingkui Tan (KDD, 2018)

Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images. - Pengshuai Yin; Mingkui Tan; Huaqing Min; Yanwu Xu 001; Guanghui Xu 002; Qingyao Wu; Yunfei Tong; Risa Higashita; Jiang Liu 001 (COMPAY/OMIA@MICCAI, 2018)

Discrimination-aware Channel Pruning for Deep Neural Networks. - Zhuangwei Zhuang; Mingkui Tan; Bohan Zhuang; Jing Liu 048; Yong Guo; Qingyao Wu; Junzhou Huang; Jin-Hui Zhu (NeurIPS, 2018)

Supervised Feature Selection With a Stratified Feature Weighting Method. - Renjie Chen 004; Ning Sun; Xiaojun Chen 006; Min Yang 007; Qingyao Wu (IEEE Access, 2018)

Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. - Siyu Jiang; Yonghui Xu; Hengjie Song; Qingyao Wu; Michael K. Ng 001; Huaqing Min; Shaojian Qiu (Neurocomputing, 2018)

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. - Yuguang Yan; Qingyao Wu; Mingkui Tan; Michael K. Ng 001; Huaqing Min; Ivor W. Tsang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Oversampling for Imbalanced Data via Optimal Transport. - Yuguang Yan; Mingkui Tan; Yanwu Xu 001; Jiezhang Cao; Michael K. Ng 001; Huaqing Min; Qingyao Wu (AAAI, 2019)

Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation. - Chi Zhang 007; Guosheng Lin; Fayao Liu; Jiushuang Guo; Qingyao Wu; Rui Yao (ICCV, 2019)

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. - Min Yang 007; Lei Chen 072; Xiaojun Chen 006; Qingyao Wu; Wei Zhou 028; Ying Shen 001 (IJCAI, 2019)

PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation. - Pengshuai Yin; Qingyao Wu; Yanwu Xu 001; Huaqing Min; Ming Yang 039; Yubing Zhang; Mingkui Tan (MICCAI (1), 2019)

From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. - Yifan Zhang 004; Hanbo Chen; Ying Wei 001; Peilin Zhao; Jiezhang Cao; Xinjuan Fan; Xiaoying Lou; Hailing Liu; Jinlong Hou; Xiao Han 011; Jianhua Yao 001; Qingyao Wu; et al. (MICCAI (1), 2019)

Attention Guided Network for Retinal Image Segmentation. - Shihao Zhang; Huazhu Fu; Yuguang Yan; Yubing Zhang; Qingyao Wu; Ming Yang 039; Mingkui Tan; Yanwu Xu 001 (MICCAI (1), 2019)

Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries. - Shihao Zhang; Yuguang Yan; Pengshuai Yin; Zhen Qiu; Wei Zhao; Guiping Cao; Wan Chen; Jin Yuan; Risa Higashita; Qingyao Wu; Mingkui Tan; Jiang Liu 001 (OMIA@MICCAI, 2019)

Informative Feature Clustering and Selection for Gene Expression Data. - Yuqi Yang; Pengshuai Yin; Zhihang Luo; Wenwen Gu; Renjie Chen 004; Qingyao Wu (IEEE Access, 2019)

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. - Min Yang 007; Qingnan Jiang; Ying Shen 001; Qingyao Wu; Zhou Zhao 001; Wei Zhou 028 (Neural Networks, 2019)

Subspace Weighting Co-Clustering of Gene Expression Data. - Xiaojun Chen 006; Joshua Zhexue Huang; Qingyao Wu; Min Yang 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization. - Runhao Zeng; Chuang Gan 001; Peihao Chen; Wenbing Huang 001; Qingyao Wu; Mingkui Tan (IEEE Trans. Image Process., 2019)

Online Heterogeneous Transfer Learning by Knowledge Transition. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Huaqing Min; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2019)

Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. - Yong Guo; Qi Chen 014; Jian Chen 011; Qingyao Wu; Qinfeng Shi; Mingkui Tan (IEEE Trans. Multim., 2019)

Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks. - Fan Lyu; Qi Wu 001; Fuyuan Hu; Qingyao Wu; Mingkui Tan (IEEE Trans. Multim., 2019)

Graph Edit Distance Reward: Learning to Edit Scene Graph. - Lichang Chen; Guosheng Lin; Shijie Wang; Qingyao Wu (ECCV (19), 2020)

Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition. - Yukun Su; Guosheng Lin; Jin-Hui Zhu; Qingyao Wu (ECCV (4), 2020)

Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog. - Zhenhao He; Yuhong He; Qingyao Wu; Jian Chen 011 (ICASSP, 2020)

Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization. - Haoming Xu; Runhao Zeng; Qingyao Wu; Mingkui Tan; Chuang Gan 001 (ACM Multimedia, 2020)

Deep Guidance Network for Biomedical Image Segmentation. - Pengshuai Yin; Rui Yuan; Yiming Cheng; Qingyao Wu (IEEE Access, 2020)

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. - Yifan Zhang 004; Shuaicheng Niu; Zhen Qiu; Ying Wei 001; Peilin Zhao; Jianhua Yao 001; Junzhou Huang; Qingyao Wu; Mingkui Tan (CoRR, 2020)

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking. - Jiachun Wang; Fajie Yuan; Jian Chen 011; Qingyao Wu; Chengming Li; Min Yang 007; Yang Sun; Guoxiao Zhang (CoRR, 2020)

Geometric Knowledge Embedding for unsupervised domain adaptation. - Hanrui Wu; Yuguang Yan; Yuzhong Ye; Michael K. Ng 001; Qingyao Wu (Knowl. Based Syst., 2020)

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering. - Min Yang 007; Lei Chen 072; Ziyu Lyu; Junhao Liu 001; Ying Shen 001; Qingyao Wu (Neural Networks, 2020)

Scripted Video Generation With a Bottom-Up Generative Adversarial Network. - Qi Chen 014; Qi Wu 001; Jian Chen 011; Qingyao Wu; Anton van den Hengel; Mingkui Tan (IEEE Trans. Image Process., 2020)

An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. - Min Yang 007; Junhao Liu 001; Ying Shen 001; Zhou Zhao 001; Xiaojun Chen 006; Qingyao Wu; Chengming Li (IEEE Trans. Image Process., 2020)

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. - Yifan Zhang 004; Ying Wei 001; Qingyao Wu; Peilin Zhao; Shuaicheng Niu; Junzhou Huang; Mingkui Tan (IEEE Trans. Image Process., 2020)

Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. - Hanrui Wu; Yuguang Yan; Michael K. Ng 001; Qingyao Wu (ACM Trans. Intell. Syst. Technol., 2020)

LABIN: Balanced Min Cut for Large-Scale Data. - Xiaojun Chen 006; Renjie Chen 004; Qingyao Wu; Yixiang Fang; Feiping Nie 001; Joshua Zhexue Huang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity. - Yukun Su; Guosheng Lin; Qingyao Wu (ICCV, 2021)

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. - Yukun Su; Ruizhou Sun; Guosheng Lin; Qingyao Wu (ICCV, 2021)

Denoi-SpEx+: A Speaker Extraction Network based Speech Dialogue System. - Yun Hao; Xiangkang Huang; Huichou Huang; Qingyao Wu (ICEBE, 2021)

Exploring A CAM - Based Approach for Weakly Supervised Fire Detection Task. - Lvlong Lai; Jian Chen 011; Huichou Huang; Qingyao Wu (ICEBE, 2021)

An Implementation of Face Recognition System with Face Presentation Attack Detection on Raspberry Pi. - Wenjun Wang; Xiangkang Huang; Xin Shu; Shuping Li; Huichou Huang; Qingyao Wu (ICEBE, 2021)

A Vision-based Lane Departure Warning Framework. - Jiaju Wu 001; Pengshuai Yin; Xin Shu; Huichou Huang; Fei Liu 006; Qingyao Wu (ICEBE, 2021)

Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision. - Fangyuan Xie; Pengshuai Yin; Zehui Ke; Ruizhou Sun; Ke Ding; Jian Chen 011; Qingyao Wu (ICEBE, 2021)

Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. - Minli Li; Peilin Zhao; Yifan Zhang 004; Shuaicheng Niu; Qingyao Wu; Mingkui Tan (ACM Multimedia, 2021)

Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning. - Yukun Su; Guosheng Lin; Ruizhou Sun; Yun Hao; Qingyao Wu (ACM Multimedia, 2021)

MV-TON: Memory-based Video Virtual Try-on network. - Xiaojing Zhong; Zhonghua Wu; Taizhe Tan; Guosheng Lin; Qingyao Wu (ACM Multimedia, 2021)

Debiased Visual Question Answering from Feature and Sample Perspectives. - Zhiquan Wen; Guanghui Xu 002; Mingkui Tan; Qingyao Wu; Qi Wu 001 (NeurIPS, 2021)

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. - Jiachun Wang; Fajie Yuan; Jian Chen 011; Qingyao Wu; Min Yang 007; Yang Sun; Guoxiao Zhang (SIGIR, 2021)

Calibrating Class Activation Maps for Long-Tailed Visual Recognition. - Chi Zhang 007; Guosheng Lin; Lvlong Lai; Henghui Ding; Qingyao Wu (CoRR, 2021)

Deep level set learning for optic disc and cup segmentation. - Pengshuai Yin; Yanwu Xu 001; Jinhui Zhu; Jiang Liu 001; Chang'an Yi; Huichou Huang; Qingyao Wu (Neurocomputing, 2021)

Joint Visual and Semantic Optimization for zero-shot learning. - Hanrui Wu; Yuguang Yan; Sentao Chen; Xiangkang Huang; Qingyao Wu; Michael K. Ng 001 (Knowl. Based Syst., 2021)

Graph neural network for 6D object pose estimation. - Pengshuai Yin; Jiayong Ye; Guosheng Lin; Qingyao Wu (Knowl. Based Syst., 2021)

Towards effective deep transfer via attentive feature alignment. - Zheng Xie; Zhiquan Wen; Yaowei Wang 001; Qingyao Wu; Mingkui Tan (Neural Networks, 2021)

Selection of diverse features with a diverse regularization. - Weichan Zhong; Xiaojun Chen 006; Qingyao Wu; Min Yang 007; Joshua Zhexue Huang (Pattern Recognit., 2021)

Fast Manifold Ranking With Local Bipartite Graph. - Xiaojun Chen 006; Yuzhong Ye; Qingyao Wu; Feiping Nie 001 (IEEE Trans. Image Process., 2021)

CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence. - Chi Zhang 007; Guankai Li; Guosheng Lin; Qingyao Wu; Rui Yao (IEEE Trans. Image Process., 2021)

Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. - Mingkui Tan; Zhibin Hu; Yuguang Yan; Jiezhang Cao; Dong Gong; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2021)

Online Adaptive Asymmetric Active Learning With Limited Budgets. - Yifan Zhang 004; Peilin Zhao; Shuaicheng Niu; Qingyao Wu; Jiezhang Cao; Junzhou Huang; Mingkui Tan (IEEE Trans. Knowl. Data Eng., 2021)

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. - Min Yang 007; Chengming Li; Ying Shen 001; Qingyao Wu; Zhou Zhao 001; Xiaojun Chen 006 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Self-Supervised Object Localization with Joint Graph Partition. - Yukun Su; Guosheng Lin; Yun Hao; Yiwen Cao; Wenjun Wang; Qingyao Wu (AAAI, 2022)

EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection. - Qingyao Wu; Zhenqi Fu; Hong Lin; Chenyu Ma; Xiaotong Tu; Xinghao Ding (ACCV (4), 2022)

General Object Pose Transformation Network from Unpaired Data. - Yukun Su; Guosheng Lin; Ruizhou Sun; Qingyao Wu (ECCV (6), 2022)

Improved A* Method for High Efficiency Forklift Path Planning. - Xinyi Huang; Ni Zhang; Kesheng Fan; Xiaojing Zhong; Qingyao Wu (ICEBE, 2022)

Robust Video watermarking based on deep neural network and curriculum learning. - Zehui Ke; Hailiang Huang; Yingwei Liang; Yi Ding; Xin Cheng; Qingyao Wu (ICEBE, 2022)

An End-to-End Speech Recognition System Based on Shared Encoder. - Zhengchang Wen; Hailiang Huang; Yingwei Liang; Yi Ding; Xin Cheng; Qingyao Wu (ICEBE, 2022)

Deep IoU Network for Dense Rebar Object Detection. - Xiaojing Zhong; Hao Hu; Li Li; Junhua Cen; Qingyao Wu (ICEBE, 2022)

A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. - Yukun Su; Jingliang Deng; Ruizhou Sun; Guosheng Lin; Qingyao Wu (CoRR, 2022)

Dual Progressive Transformations for Weakly Supervised Semantic Segmentation. - Dongjian Huo; Yukun Su; Qingyao Wu (CoRR, 2022)

DF-Net: Deep fusion network for multi-source vessel segmentation. - Pengshuai Yin; Hongmin Cai; Qingyao Wu (Inf. Fusion, 2022)

Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation. - Lvlong Lai; Jian Chen 011; Chi Zhang 007; Zehong Zhang; Guosheng Lin; Qingyao Wu (Knowl. Based Syst., 2022)

EpNet: Power lines foreign object detection with Edge Proposal Network and data composition. - Junyu Su; Yukun Su; Yu Zhang; Weiqiang Yang; Huichou Huang; Qingyao Wu (Knowl. Based Syst., 2022)

Improving Generative Adversarial Networks With Local Coordinate Coding. - Jiezhang Cao; Yong Guo; Qingyao Wu; Chunhua Shen; Junzhou Huang; Mingkui Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Visual Grounding Via Accumulated Attention. - Chaorui Deng; Qi Wu 001; Qingyao Wu; Fuyuan Hu; Fan Lyu; Mingkui Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Speaker extraction network with attention mechanism for speech dialogue system. - Yun Hao; Jiaju Wu 001; Xiangkang Huang; Zijia Zhang 004; Fei Liu 006; Qingyao Wu (Serv. Oriented Comput. Appl., 2022)

CAM-based non-local attention network for weakly supervised fire detection. - Wenjun Wang; Lvlong Lai; Jian Chen 011; Qingyao Wu (Serv. Oriented Comput. Appl., 2022)

Dense Semantics-Assisted Networks for Video Action Recognition. - Haonan Luo; Guosheng Lin; Yazhou Yao; Zhenmin Tang; Qingyao Wu; Xiansheng Hua 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Semisupervised Feature Selection via Structured Manifold Learning. - Xiaojun Chen 006; Renjie Chen 004; Qingyao Wu; Feiping Nie 001; Min Yang 007; Rui Mao 001 (IEEE Trans. Cybern., 2022)

A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. - Chao Han 002; Jian Chen 011; Mingkui Tan; Michael K. Ng 001; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2022)

Iterative Refinement for Multi-Source Visual Domain Adaptation. - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (IEEE Trans. Knowl. Data Eng., 2022)

Transferable Feature Selection for Unsupervised Domain Adaptation. - Yuguang Yan; Hanrui Wu; Yuzhong Ye; Chaoyang Bi; Min Lu; Dapeng Liu; Qingyao Wu; Michael K. Ng 001 (IEEE Trans. Knowl. Data Eng., 2022)

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. - Yifan Zhang 004; Peilin Zhao; Qingyao Wu; Bin Li 027; Junzhou Huang; Mingkui Tan (IEEE Trans. Knowl. Data Eng., 2022)

Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. - Hanrui Wu; Qingyao Wu; Michael K. Ng 001 (ACM Trans. Inf. Syst., 2022)

DENet: Disentangled Embedding Network for Visible Watermark Removal. - Ruizhou Sun; Yukun Su; Qingyao Wu (AAAI, 2023)

Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering. - Zhiquan Wen; Yaowei Wang 001; Mingkui Tan; Qingyao Wu; Qi Wu 001 (ACL (Findings), 2023)

A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. - Chao Han 002; Jian Chen 011; Mingkui Tan; Michael K. Ng 001; Qingyao Wu (ICDE, 2023)

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). - Hanrui Wu; Yuguang Yan; Guosheng Lin; Min Yang 007; Michael K. Ng 001; Qingyao Wu (ICDE, 2023)

Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. - Yuguang Yan; Hanrui Wu; Yuzhong Ye; Chaoyang Bi; Min Lu; Dapeng Liu; Qingyao Wu; Michael Kwok-Po Ng (ICDE, 2023)

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). - Yifan Zhang 004; Peilin Zhao; Qingyao Wu; Bin Li 027; Junzhou Huang; Mingkui Tan (ICDE, 2023)

Research on Multi-AGVs dynamic scheduling based on deep reinforcement learning. - Zhuorui Qin; Xiaoqian Wu; Yimin Zheng; Qingyao Wu (ICEBE, 2023)

WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning. - Dongjian Huo; Zehong Zhang; Hanjing Su; Guanbin Li; Chaowei Fang; Qingyao Wu (CoRR, 2023)

Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds. - Yukun Su; Guosheng Lin; Qingyao Wu (CoRR, 2023)

Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking. - Yukun Su; Ruizhou Sun; Xin Shu; Yu Zhang; Qingyao Wu (CoRR, 2023)

Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization. - Yiwen Cao; Yukun Su; Wenjun Wang; Yanxia Liu; Qingyao Wu (CoRR, 2023)

Typhoon Intensity Prediction with Vision Transformer. - Huanxin Chen; Pengshuai Yin; Huichou Huang; Qingyao Wu; Ruirui Liu; Xiatian Zhu (CoRR, 2023)

DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human. - Xiaojing Zhong; Yukun Su; Zhonghua Wu; Guosheng Lin; Qingyao Wu (CoRR, 2023)

SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization. - Xiaojing Zhong; Xinyi Huang; Zhonghua Wu; Guosheng Lin; Qingyao Wu (CoRR, 2023)

Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks. - Siraj Khan; Muhammad Asim 002; Salabat Khan; Ahmad Musyafa; Qingyao Wu (Comput. Electr. Eng., 2023)

Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation. - Siraj Khan; Yuxin Guo; Yuzhong Ye; Chunshan Li; Qingyao Wu (Neural Process. Lett., 2023)

Densely packed object detection with transformer-based head and EM-merger. - Xiaojing Zhong; Ni Zhang; Hao Hu; Li Li; Junhua Cen; Qingyao Wu (Serv. Oriented Comput. Appl., 2023)

Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification. - Yun Hao; Yukun Su; Guosheng Lin; Hanjing Su; Qingyao Wu (Pattern Recognit., 2023)

Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. - Chaowei Fang; Ziyin Zhou; Junye Chen; Hanjing Su; Qingyao Wu; Guanbin Li (AAAI, 2024)

Spatial-Semantic Collaborative Cropping for User Generated Content. - Yukun Su; Yiwen Cao; Jingliang Deng; Fengyun Rao; Qingyao Wu (AAAI, 2024)

Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. - Xiaofeng Yang; Fayao Liu; Yi Xu 002; Hanjing Su; Qingyao Wu; Guosheng Lin (AAAI, 2024)

A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference. - Yupeng Fang; Ruirui Liu 002; Huichou Huang; Peilin Zhao; Qingyao Wu (CIKM, 2024)

A Payment Transaction Pre-training Model for Fraud Transaction Detection. - Wenxi Huang; Zhangyi Zhao; Xiaojun Chen 006; Qin Zhang 011; Mark Junjie Li; Hanjing Su; Qingyao Wu (CIKM, 2024)

DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. - Xiaojing Zhong; Xinyi Huang; Xiaofeng Yang; Guosheng Lin; Qingyao Wu (ECCV (44), 2024)

Reinforcement Learning Framework for Delivery Capacity Scheduling with Vehicle Constraints. - Zhongneng Ma; Zhuorui Qin; Shuxia Shi; Qingyao Wu (ICEBE, 2024)

U-Shape Network for Chip Surface Defect Detection. - Rui Ruan; Wei Zou; Zhenwei Li; Zhuorui Qin; Qingyao Wu; Shenghui Huang (ICEBE, 2024)

Hybrid Classification-Regression Adaptive Loss for Dense Object Detection. - Yanquan Huang; Liu Wei Zhen; Yun Hao; Mengyuan Zhang; Qingyao Wu; Zikun Deng; Xueming Liu; Hong Deng (CoRR, 2024)

Adaptive Locally-Aligned Transformer for low-light video enhancement. - Yiwen Cao; Yukun Su; Jingliang Deng; Yu Zhang; Qingyao Wu (Comput. Vis. Image Underst., 2024)

A region-based convolutional fusion network for typhoon intensity estimation in satellite images. - Pengshuai Yin; Huanxin Chen; Huichou Huang; Hanjing Su; Qingyao Wu; Qilin Wan (Eng. Appl. Artif. Intell., 2024)

Deep contrastive learning based hybrid network for Typhoon intensity classification. - Pengshuai Yin; Yupeng Fang; Huanxin Chen; Huichou Huang; Qilin Wan; Qingyao Wu (Expert Syst. Appl., 2024)

Multimodal multiscale dynamic graph convolution networks for stock price prediction. - Ruirui Liu 002; Haoxian Liu; Huichou Huang; Bo Song; Qingyao Wu (Pattern Recognit., 2024)

Contrastive Learning for Target Speaker Extraction With Attention-Based Fusion. - Xiao Li; Ruirui Liu 002; Huichou Huang; Qingyao Wu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification. - Lvlong Lai; Jian Chen 011; Guosheng Lin; Qingyao Wu (IEEE Trans. Multim., 2024)

Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring. - Lvlong Lai; Jian Chen 011; Qingyao Wu (IEEE Trans. Multim., 2024)

A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. - Yukun Su; Jingliang Deng; Ruizhou Sun; Guosheng Lin; Hanjing Su; Qingyao Wu (IEEE Trans. Multim., 2024)

Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. - Zhiquan Wen; Shuaicheng Niu; Ge Li 002; Qingyao Wu; Mingkui Tan; Qi Wu 001 (IEEE Trans. Multim., 2024)

A reweighting method for speech recognition with imbalanced data of Mandarin and sub-dialects. - Jiaju Wu 001; Zhengchang Wen; Haitian Huang; Hanjing Su; Fei Liu 006; Huan Wang; Yi Ding; Qingyao Wu (Serv. Oriented Comput. Appl., 2024)

IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter. - Xiaojing Zhong; Zhonghua Wu; Xiaofeng Yang; Guosheng Lin; Qingyao Wu (AAAI, 2025)

Efficient Infrared Image Super-Resolution Reconstruction via Guided Filter Coefficients Estimation with Parallax Attention Mechanism. - Qingyao Wu; Bosheng Chen; Chen Li; Xiaotong Tu; Xinghao Ding; Yue Huang 001 (ICASSP, 2025)

Context-Aware Frequency-Embedding Networks for Spatio-Temporal Portfolio Selection. - Ruirui Liu 002; Huichou Huang; Johannes Ruf; Haoxian Liu; Qingyao Wu (SDM, 2025)

Beyond game environments: Evolutionary algorithms with parameter space noise for task-oriented dialogue policy exploration. - Qingxin Xiao; Yangyang Zhao; Lingwei Dang; Yun Hao; Le Che; Qingyao Wu (Neurocomputing, 2025)

Semantic-Constraint Matching for transformer-based weakly supervised object localization. - Yiwen Cao; Yukun Su; Wenjun Wang; Yanxia Liu; Qingyao Wu (Pattern Recognit., 2025)

Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis. - Xiaotong Tu; Chenyu Ma; Qingyao Wu; Yinhao Liu; Hongyang Zhang (CoRR, 2025)

Inverse Materials Design by Large Language Model-Assisted Generative Framework. - Yun Hao; Che Fan; Beilin Ye; Wenhao Lu; Zhen Lu; Peilin Zhao; Zhifeng Gao; Qingyao Wu; Yanhui Liu; Tongqi Wen (CoRR, 2025)

CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction. - Lvlong Lai; Jian Chen 011; Zehong Zhang; Guosheng Lin; Qingyao Wu (IEEE Trans. Neural Networks Learn. Syst., 2025)

SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios. - Lingwei Dang; Ruizhi Shao; Hongwen Zhang 001; Wei Min; Yebin Liu; Qingyao Wu (CoRR, 2025)

MemoryOut: Learning Principal Features via Multimodal Sparse Filtering Network for Semi-supervised Video Anomaly Detection. - Juntong Li; Lingwei Dang; Yukun Su; Yun Hao; Qingxin Xiao; Yongwei Nie; Qingyao Wu (CoRR, 2025)

AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making. - Wenbo Li; Shiyi Wang; Yiteng Chen; Huiping Zhuang; Qingyao Wu (CoRR, 2025)

T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models. - Yiteng Chen; Wenbo Li; Shiyi Wang; Huiping Zhuang; Qingyao Wu (CoRR, 2025)

FrankenBot: Brain-Morphic Modular Orchestration for Robotic Manipulation with Vision-Language Models. - Shiyi Wang; Wenbo Li; Yiteng Chen; Qingyao Wu; Huiping Zhuang (CoRR, 2025)