Qingyao Wu

202 papers A* 31A 4B 1C 2Misc 2Journal 128Unranked 34
YearRankTypeTitle / Venue / Authors
2026 J jnl
DI-Net : Decomposed implicit garment transfer network for digital clothed 3D human.
Pattern Recognit.
Xiaojing Zhong, Yukun Su, Zhonghua Wu, Guosheng Lin, Qingyao Wu
2026 J jnl
Deep portfolio selection with contrastively aligned cross-modal attention.
Pattern Recognit.
Yupeng Fang, Huichou Huang, Ruirui Liu, Chaoyu Chen, Haoxian Liu, Qingyao Wu
2026 J jnl
Multimodal self-supervised retinal vessel segmentation.
Neural Networks
Pengshuai Yin, Jingqi Zhang, Huichou Huang, Ruirui Liu, Yanxia Liu, Qingyao Wu, F. Richard Yu
2026 J jnl
RoboRouter: Training-Free Policy Routing for Robotic Manipulation.
CoRR
Yiteng Chen, Zhe Cao, Hongjia Ren, Chenjie Yang, Wenbo Li, Shiyi Wang, Yemin Wang, Li Zhang, Yanming Shao, Zhenjun Zhao, Huiping Zhuang, Qingyao Wu
2026 J jnl
SARA: Controllable makeup transfer with semantic-guided alignment and region-adaptive normalization.
Comput. Vis. Image Underst.
Xiaojing Zhong, Xinyi Huang, Zhonghua Wu, Guosheng Lin, Qingyao Wu
2026 J jnl
UAV-CB: A Complex-Background RGB-T Dataset and Local Frequency Bridge Network for UAV Detection.
CoRR
Shenghui Huang, Menghao Hu, Longkun Zou, Hongyu Chi, Zekai Li, Feng Gao, Fan Yang, Qingyao Wu, Ke Chen
2025 J jnl
AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making.
CoRR
Wenbo Li, Shiyi Wang, Yiteng Chen, Huiping Zhuang, Qingyao Wu
2025 J jnl
Beyond game environments: Evolutionary algorithms with parameter space noise for task-oriented dialogue policy exploration.
Neurocomputing
Qingxin Xiao, Yangyang Zhao, Lingwei Dang, Yun Hao, Le Che, Qingyao Wu
2025 — conf
CLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection.
ICANN (2)
Hong Lin, Hongyang Zhang, Qingyao Wu, Haitao Zhang, Xinghao Ding, Yue Huang, Xiaotong Tu
2025 J jnl
CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction.
IEEE Trans. Neural Networks Learn. Syst.
Lvlong Lai, Jian Chen, Zehong Zhang, Guosheng Lin, Qingyao Wu
2025 A conf
Context-Aware Frequency-Embedding Networks for Spatio-Temporal Portfolio Selection.
SDM
Ruirui Liu, Huichou Huang, Johannes Ruf, Haoxian Liu, Qingyao Wu
2025 Misc conf
Efficient Infrared Image Super-Resolution Reconstruction via Guided Filter Coefficients Estimation with Parallax Attention Mechanism.
ICASSP
Qingyao Wu, Bosheng Chen, Chen Li, Xiaotong Tu, Xinghao Ding, Yue Huang
2025 J jnl
Enhanced Reasoning via Multimodal LLMs and Collaborative Inference.
IEEE Trans. Multim.
Zhiquan Wen, Mingkui Tan, Yaowei Wang, Qingyao Wu, Qi Wu
2025 J jnl
FrankenBot: Brain-Morphic Modular Orchestration for Robotic Manipulation with Vision-Language Models.
CoRR
Shiyi Wang, Wenbo Li, Yiteng Chen, Qingyao Wu, Huiping Zhuang
2025 — conf
Hexagon-Net: Heterogeneous Cross-View Aligned Graph Attention Networks for Implied Volatility Surface Prediction.
KDD (2)
Kaiwei Liang, Ruirui Liu, Huichou Huang, Johannes Ruf, Peilin Zhao, Qingyao Wu
2025 A* conf
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter.
AAAI
Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang, Guosheng Lin, Qingyao Wu
2025 J jnl
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter.
CoRR
Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang, Guosheng Lin, Qingyao Wu
2025 J jnl
Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis.
CoRR
Xiaotong Tu, Chenyu Ma, Qingyao Wu, Yinhao Liu, Hongyang Zhang
2025 J jnl
Inverse Materials Design by Large Language Model-Assisted Generative Framework.
CoRR
Yun Hao, Che Fan, Beilin Ye, Wenhao Lu, Zhen Lu, Peilin Zhao, Zhifeng Gao, Qingyao Wu, Yanhui Liu, Tongqi Wen
2025 J jnl
MemoryOut: Learning Principal Features via Multimodal Sparse Filtering Network for Semi-supervised Video Anomaly Detection.
CoRR
Juntong Li, Lingwei Dang, Yukun Su, Yun Hao, Qingxin Xiao, Yongwei Nie, Qingyao Wu
2025 — conf
SCAM-Net: Unifying Box Annotations and Pixel-Level Masks for Fundus Image Segmentation.
PRCV (1)
Meiju Hu, Lingwei Dang, Xin Cheng, Yun Hao, Yuning Wang, Pengshuai Yin, Yanwu Xu, Qingyao Wu
2025 J jnl
SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios.
CoRR
Lingwei Dang, Ruizhi Shao, Hongwen Zhang, Wei Min, Yebin Liu, Qingyao Wu
2025 J jnl
Semantic-Constraint Matching for transformer-based weakly supervised object localization.
Pattern Recognit.
Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu
2025 J jnl
T-Rex: Task-Adaptive Spatial Representation Extraction for Robotic Manipulation with Vision-Language Models.
CoRR
Yiteng Chen, Wenbo Li, Shiyi Wang, Huiping Zhuang, Qingyao Wu
2025 J jnl
iDNA-DAPHA: a generic framework for methylation prediction via domain-adaptive pretraining and hierarchical attention.
Briefings Bioinform.
Wenjun Wang, Wen Tan, Lvlong Lai, Youjun Lu, Qingyao Wu
2024 A conf
A Payment Transaction Pre-training Model for Fraud Transaction Detection.
CIKM
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu
2024 A conf
A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference.
CIKM
Yupeng Fang, Ruirui Liu, Huichou Huang, Peilin Zhao, Qingyao Wu
2024 J jnl
A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection.
IEEE Trans. Multim.
Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su, Qingyao Wu
2024 J jnl
A region-based convolutional fusion network for typhoon intensity estimation in satellite images.
Eng. Appl. Artif. Intell.
Pengshuai Yin, Huanxin Chen, Huichou Huang, Hanjing Su, Qingyao Wu, Qilin Wan
2024 J jnl
A reweighting method for speech recognition with imbalanced data of Mandarin and sub-dialects.
Serv. Oriented Comput. Appl.
Jiaju Wu, Zhengchang Wen, Haitian Huang, Hanjing Su, Fei Liu, Huan Wang, Yi Ding, Qingyao Wu
2024 J jnl
Adaptive Locally-Aligned Transformer for low-light video enhancement.
Comput. Vis. Image Underst.
Yiwen Cao, Yukun Su, Jingliang Deng, Yu Zhang, Qingyao Wu
2024 J jnl
CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification.
IEEE Trans. Multim.
Lvlong Lai, Jian Chen, Guosheng Lin, Qingyao Wu
2024 J jnl
Contrastive Learning for Target Speaker Extraction With Attention-Based Fusion.
IEEE ACM Trans. Audio Speech Lang. Process.
Xiao Li, Ruirui Liu, Huichou Huang, Qingyao Wu
2024 — conf
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency.
ECCV (44)
Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu
2024 J jnl
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency.
CoRR
Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu
2024 J jnl
Deep contrastive learning based hybrid network for Typhoon intensity classification.
Expert Syst. Appl.
Pengshuai Yin, Yupeng Fang, Huanxin Chen, Huichou Huang, Qilin Wan, Qingyao Wu
2024 A* conf
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration.
AAAI
Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin
2024 J jnl
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection.
CoRR
Yanquan Huang, Liu Wei Zhen, Yun Hao, Mengyuan Zhang, Qingyao Wu, Zikun Deng, Xueming Liu, Hong Deng
2024 J jnl
Multimodal multiscale dynamic graph convolution networks for stock price prediction.
Pattern Recognit.
Ruirui Liu, Haoxian Liu, Huichou Huang, Bo Song, Qingyao Wu
2024 — conf
Reinforcement Learning Framework for Delivery Capacity Scheduling with Vehicle Constraints.
ICEBE
Zhongneng Ma, Zhuorui Qin, Shuxia Shi, Qingyao Wu
2024 A* conf
Spatial-Semantic Collaborative Cropping for User Generated Content.
AAAI
Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu
2024 J jnl
Spatial-Semantic Collaborative Cropping for User Generated Content.
CoRR
Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu
2024 J jnl
Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions.
IEEE Trans. Multim.
Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu
2024 — conf
U-Shape Network for Chip Surface Defect Detection.
ICEBE
Rui Ruan, Wei Zou, Zhenwei Li, Zhuorui Qin, Qingyao Wu, Shenghui Huang
2024 A* conf
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation.
AAAI
Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li
2024 J jnl
Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring.
IEEE Trans. Multim.
Lvlong Lai, Jian Chen, Qingyao Wu
2023 A* conf
A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract.
ICDE
Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu
2023 J jnl
Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification.
Pattern Recognit.
Yun Hao, Yukun Su, Guosheng Lin, Hanjing Su, Qingyao Wu
2023 A* conf
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract).
ICDE
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2023 A* conf
DENet: Disentangled Embedding Network for Visible Watermark Removal.
AAAI
Ruizhou Sun, Yukun Su, Qingyao Wu
2023 J jnl
DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human.
CoRR
Xiaojing Zhong, Yukun Su, Zhonghua Wu, Guosheng Lin, Qingyao Wu
2023 J jnl
Densely packed object detection with transformer-based head and EM-merger.
Serv. Oriented Comput. Appl.
Xiaojing Zhong, Ni Zhang, Hao Hu, Li Li, Junhua Cen, Qingyao Wu
2023 — conf
Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering.
ACL (Findings)
Zhiquan Wen, Yaowei Wang, Mingkui Tan, Qingyao Wu, Qi Wu
2023 J jnl
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds.
CoRR
Yukun Su, Guosheng Lin, Qingyao Wu
2023 A* conf
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract).
ICDE
Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu
2023 J jnl
Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation.
Neural Process. Lett.
Siraj Khan, Yuxin Guo, Yuzhong Ye, Chunshan Li, Qingyao Wu
2023 J jnl
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking.
CoRR
Yukun Su, Ruizhou Sun, Xin Shu, Yu Zhang, Qingyao Wu
2023 — conf
Research on Multi-AGVs dynamic scheduling based on deep reinforcement learning.
ICEBE
Zhuorui Qin, Xiaoqian Wu, Yimin Zheng, Qingyao Wu
2023 J jnl
SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization.
CoRR
Xiaojing Zhong, Xinyi Huang, Zhonghua Wu, Guosheng Lin, Qingyao Wu
2023 J jnl
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization.
CoRR
Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu
2023 A* conf
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract.
ICDE
Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng
2023 J jnl
Typhoon Intensity Prediction with Vision Transformer.
CoRR
Huanxin Chen, Pengshuai Yin, Huichou Huang, Qingyao Wu, Ruirui Liu, Xiatian Zhu
2023 J jnl
Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks.
Comput. Electr. Eng.
Siraj Khan, Muhammad Asim, Salabat Khan, Ahmad Musyafa, Qingyao Wu
2023 J jnl
Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation.
CoRR
Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li
2023 J jnl
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning.
CoRR
Dongjian Huo, Zehong Zhang, Hanjing Su, Guanbin Li, Chaowei Fang, Qingyao Wu
2022 J jnl
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification.
IEEE Trans. Knowl. Data Eng.
Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu
2022 J jnl
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection.
CoRR
Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Qingyao Wu
2022 — conf
An End-to-End Speech Recognition System Based on Shared Encoder.
ICEBE
Zhengchang Wen, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu
2022 J jnl
CAM-based non-local attention network for weakly supervised fire detection.
Serv. Oriented Comput. Appl.
Wenjun Wang, Lvlong Lai, Jian Chen, Qingyao Wu
2022 J jnl
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2022 J jnl
DF-Net: Deep fusion network for multi-source vessel segmentation.
Inf. Fusion
Pengshuai Yin, Hongmin Cai, Qingyao Wu
2022 — conf
Deep IoU Network for Dense Rebar Object Detection.
ICEBE
Xiaojing Zhong, Hao Hu, Li Li, Junhua Cen, Qingyao Wu
2022 J jnl
Dense Semantics-Assisted Networks for Video Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua
2022 J jnl
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation.
CoRR
Dongjian Huo, Yukun Su, Qingyao Wu
2022 — conf
EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection.
ACCV (4)
Qingyao Wu, Zhenqi Fu, Hong Lin, Chenyu Ma, Xiaotong Tu, Xinghao Ding
2022 J jnl
EpNet: Power lines foreign object detection with Edge Proposal Network and data composition.
Knowl. Based Syst.
Junyu Su, Yukun Su, Yu Zhang, Weiqiang Yang, Huichou Huang, Qingyao Wu
2022 — conf
General Object Pose Transformation Network from Unpaired Data.
ECCV (6)
Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu
2022 — conf
Improved A* Method for High Efficiency Forklift Path Planning.
ICEBE
Xinyi Huang, Ni Zhang, Kesheng Fan, Xiaojing Zhong, Qingyao Wu
2022 J jnl
Improving Generative Adversarial Networks With Local Coordinate Coding.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2022 J jnl
Iterative Refinement for Multi-Source Visual Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu
2022 J jnl
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation.
ACM Trans. Inf. Syst.
Hanrui Wu, Qingyao Wu, Michael K. Ng
2022 — conf
Robust Video watermarking based on deep neural network and curriculum learning.
ICEBE
Zehui Ke, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu
2022 A* conf
Self-Supervised Object Localization with Joint Graph Partition.
AAAI
Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu
2022 J jnl
Semisupervised Feature Selection via Structured Manifold Learning.
IEEE Trans. Cybern.
Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao
2022 J jnl
Speaker extraction network with attention mechanism for speech dialogue system.
Serv. Oriented Comput. Appl.
Yun Hao, Jiaju Wu, Xiangkang Huang, Zijia Zhang, Fei Liu, Qingyao Wu
2022 J jnl
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation.
Knowl. Based Syst.
Lvlong Lai, Jian Chen, Chi Zhang, Zehong Zhang, Guosheng Lin, Qingyao Wu
2022 J jnl
Transferable Feature Selection for Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng
2022 J jnl
Visual Grounding Via Accumulated Attention.
IEEE Trans. Pattern Anal. Mach. Intell.
Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan
2021 — conf
A Vision-based Lane Departure Warning Framework.
ICEBE
Jiaju Wu, Pengshuai Yin, Xin Shu, Huichou Huang, Fei Liu, Qingyao Wu
2021 — conf
An Implementation of Face Recognition System with Face Presentation Attack Detection on Raspberry Pi.
ICEBE
Wenjun Wang, Xiangkang Huang, Xin Shu, Shuping Li, Huichou Huang, Qingyao Wu
2021 J jnl
Calibrating Class Activation Maps for Long-Tailed Visual Recognition.
CoRR
Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu
2021 A* conf
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation.
ICCV
Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu
2021 J jnl
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation.
CoRR
Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu
2021 J jnl
CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence.
IEEE Trans. Image Process.
Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao
2021 A* conf
Debiased Visual Question Answering from Feature and Sample Perspectives.
NeurIPS
Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu
2021 J jnl
Deep level set learning for optic disc and cup segmentation.
Neurocomputing
Pengshuai Yin, Yanwu Xu, Jinhui Zhu, Jiang Liu, Chang'an Yi, Huichou Huang, Qingyao Wu
2021 — conf
Denoi-SpEx+: A Speaker Extraction Network based Speech Dialogue System.
ICEBE
Yun Hao, Xiangkang Huang, Huichou Huang, Qingyao Wu
2021 — conf
Exploring A CAM - Based Approach for Weakly Supervised Fire Detection Task.
ICEBE
Lvlong Lai, Jian Chen, Huichou Huang, Qingyao Wu
2021 J jnl
Fast Manifold Ranking With Local Bipartite Graph.
IEEE Trans. Image Process.
Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie
2021 J jnl
Graph neural network for 6D object pose estimation.
Knowl. Based Syst.
Pengshuai Yin, Jiayong Ye, Guosheng Lin, Qingyao Wu
2021 J jnl
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.
IEEE Trans. Neural Networks Learn. Syst.
Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen
2021 J jnl
Joint Visual and Semantic Optimization for zero-shot learning.
Knowl. Based Syst.
Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng
2021 J jnl
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold.
IEEE Trans. Knowl. Data Eng.
Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu
2021 A* conf
MV-TON: Memory-based Video Virtual Try-on network.
ACM Multimedia
Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu
2021 J jnl
MV-TON: Memory-based Video Virtual Try-on network.
CoRR
Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu
2021 A* conf
Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning.
ACM Multimedia
Yukun Su, Guosheng Lin, Ruizhou Sun, Yun Hao, Qingyao Wu
2021 J jnl
Online Adaptive Asymmetric Active Learning With Limited Budgets.
IEEE Trans. Knowl. Data Eng.
Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2021 J jnl
Selection of diverse features with a diverse regularization.
Pattern Recognit.
Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang
2021 A* conf
Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity.
ICCV
Yukun Su, Guosheng Lin, Qingyao Wu
2021 A* conf
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking.
SIGIR
Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang
2021 A* conf
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling.
ACM Multimedia
Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan
2021 J jnl
Towards effective deep transfer via attentive feature alignment.
Neural Networks
Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan
2021 — conf
Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision.
ICEBE
Fangyuan Xie, Pengshuai Yin, Zehui Ke, Ruizhou Sun, Ke Ding, Jian Chen, Qingyao Wu
2020 J jnl
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network.
IEEE Trans. Image Process.
Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li
2020 J jnl
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19.
CoRR
Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan
2020 J jnl
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.
CoRR
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020 J jnl
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.
IEEE Trans. Image Process.
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
2020 J jnl
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning.
CoRR
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan
2020 A* conf
Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization.
ACM Multimedia
Haoming Xu, Runhao Zeng, Qingyao Wu, Mingkui Tan, Chuang Gan
2020 J jnl
Deep Guidance Network for Biomedical Image Segmentation.
IEEE Access
Pengshuai Yin, Rui Yuan, Yiming Cheng, Qingyao Wu
2020 J jnl
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation.
ACM Trans. Intell. Syst. Technol.
Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu
2020 J jnl
Double Forward Propagation for Memorized Batch Normalization.
CoRR
Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan
2020 Misc conf
Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog.
ICASSP
Zhenhao He, Yuhong He, Qingyao Wu, Jian Chen
2020 J jnl
Geometric Knowledge Embedding for unsupervised domain adaptation.
Knowl. Based Syst.
Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu
2020 — conf
Graph Edit Distance Reward: Learning to Edit Scene Graph.
ECCV (19)
Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu
2020 J jnl
Graph Edit Distance Reward: Learning to Edit Scene Graph.
CoRR
Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu
2020 J jnl
Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering.
Neural Networks
Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu
2020 — conf
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition.
ECCV (4)
Yukun Su, Guosheng Lin, Jin-Hui Zhu, Qingyao Wu
2020 J jnl
Improving Generative Adversarial Networks with Local Coordinate Coding.
CoRR
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2020 J jnl
LABIN: Balanced Min Cut for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang
2020 J jnl
Scripted Video Generation With a Bottom-Up Generative Adversarial Network.
IEEE Trans. Image Process.
Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan
2020 J jnl
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking.
CoRR
Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang
2019 J jnl
Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks.
IEEE Trans. Multim.
Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, Mingkui Tan
2019 — conf
Attention Guided Network for Retinal Image Segmentation.
MICCAI (1)
Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu
2019 J jnl
Attention Guided Network for Retinal Image Segmentation.
CoRR
Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu
2019 J jnl
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis.
IEEE Trans. Multim.
Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan
2019 J jnl
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis.
CoRR
Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan
2019 J jnl
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization.
IEEE Trans. Image Process.
Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan
2019 J jnl
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis.
CoRR
Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019 — conf
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification.
MICCAI (1)
Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019 — conf
Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries.
OMIA@MICCAI
Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu
2019 J jnl
Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.
Neural Networks
Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou
2019 J jnl
Informative Feature Clustering and Selection for Gene Expression Data.
IEEE Access
Yuqi Yang, Pengshuai Yin, Zhihang Luo, Wenwen Gu, Renjie Chen, Qingyao Wu
2019 A* conf
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.
IJCAI
Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen
2019 J jnl
Online Adaptive Asymmetric Active Learning with Limited Budgets.
CoRR
Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2019 J jnl
Online Heterogeneous Transfer Learning by Knowledge Transition.
ACM Trans. Intell. Syst. Technol.
Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu
2019 A* conf
Oversampling for Imbalanced Data via Optimal Transport.
AAAI
Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu
2019 — conf
PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation.
MICCAI (1)
Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan
2019 A* conf
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation.
ICCV
Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao
2019 J jnl
Subspace Weighting Co-Clustering of Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang
2018 A* conf
A Stratified Feature Ranking Method for Supervised Feature Selection.
AAAI
Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu
2018 A* conf
Adversarial Learning with Local Coordinate Coding.
ICML
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2018 J jnl
Adversarial Learning with Local Coordinate Coding.
CoRR
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2018 — conf
Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images.
COMPAY/OMIA@MICCAI
Pengshuai Yin, Mingkui Tan, Huaqing Min, Yanwu Xu, Guanghui Xu, Qingyao Wu, Yunfei Tong, Risa Higashita, Jiang Liu
2018 C conf
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks.
ACML
Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu
2018 A* conf
Discrimination-aware Channel Pruning for Deep Neural Networks.
NeurIPS
Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu
2018 J jnl
Discrimination-aware Channel Pruning for Deep Neural Networks.
CoRR
Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jin-Hui Zhu
2018 A* conf
Double Forward Propagation for Memorized Batch Normalization.
AAAI
Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan
2018 J jnl
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation.
Neurocomputing
Siyu Jiang, Yonghui Xu, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu
2018 A* conf
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data.
KDD
Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan
2018 J jnl
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions.
IEEE Trans. Neural Networks Learn. Syst.
Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang
2018 A* conf
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation.
IJCAI
Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu
2018 J jnl
Supervised Feature Selection With a Stratified Feature Weighting Method.
IEEE Access
Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu
2018 A* conf
Visual Grounding via Accumulated Attention.
CVPR
Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan
2017 A* conf
A Self-Balanced Min-Cut Algorithm for Image Clustering.
ICCV
Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu
2017 J jnl
A Unified Framework for Metric Transfer Learning.
IEEE Trans. Knowl. Data Eng.
Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song
2017 — conf
Extremely Randomized Forest with Hierarchy of Multi-label Classifiers.
IScIDE
Jinxia Li, Yihan Zheng, Chao Han, Qingyao Wu, Jian Chen
2017 A* conf
Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation.
IJCAI
Yuguang Yan, Wen Li, Michael K. P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu
2017 J jnl
Leveraging question target word features through semantic relation expansion for answer type classification.
Knowl. Based Syst.
Tianyong Hao, Wenxiu Xie, Qingyao Wu, Heng Weng, Yingying Qu
2017 J jnl
MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation.
IEEE Trans. Neural Networks Learn. Syst.
Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu
2017 C conf
On the Flatness of Loss Surface for Two-layered ReLU Networks.
ACML
Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan
2017 J jnl
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources.
IEEE Trans. Knowl. Data Eng.
Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao
2017 J jnl
Online transfer learning by leveraging multiple source domains.
Knowl. Inf. Syst.
Qingyao Wu, Xiaoming Zhou, Yuguang Yan, Hanrui Wu, Huaqing Min
2017 A* conf
Tensor Based Relations Ranking for Multi-relational Collective Classification.
ICDM
Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen
2016 J jnl
A fast Markov chain based algorithm for MIML learning.
Neurocomputing
Michael K. Ng, Qingyao Wu, Chenyang Shen
2016 J jnl
Individual Judgments Versus Consensus: Estimating Query-URL Relevance.
ACM Trans. Web
Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida
2016 — conf
Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation.
PAKDD (1)
Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li
2016 J jnl
ML-FOREST: A Multi-Label Tree Ensemble Method for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng.
Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng
2016 J jnl
Multi-instance multi-label distance metric learning for genome-wide protein function prediction.
Comput. Biol. Chem.
Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu
2016 J jnl
Online Feature Selection of Class Imbalance via PA Algorithm.
J. Comput. Sci. Technol.
Chao Han, Yun-Kun Tan, Jin-Hui Zhu, Yong Guo, Jian Chen, Qingyao Wu
2016 — conf
Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers.
ECCV Workshops (3)
Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min
2016 — conf
Online Multi-Instance Multi-Label learning for protein function prediction.
BIBM
Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu
2016 J jnl
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs.
CoRR
Yong Guo, Mingkui Tan, Qingyao Wu, Jian Chen, Anton van den Hengel, Qinfeng Shi
2015 J jnl
Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.
BMC Genom.
Thanh-Tung Nguyen, Joshua Zhexue Huang, Qingyao Wu, Thuy Thi Nguyen, Mark Junjie Li
2015 J jnl
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst.
Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho
2015 J jnl
Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks.
Big Data Res.
Qingyao Wu, Jian Chen, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han
2015 J jnl
NMFE-SSCC: Non-negative matrix factorization ensemble for semi-supervised collective classification.
Knowl. Based Syst.
Qingyao Wu, Mingkui Tan, Xutao Li, Huaqing Min, Ning Sun
2015 J jnl
Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
BMC Syst. Biol.
Qingyao Wu, Zhenyu Wang, Chunshan Li, Yunming Ye, Yueping Li, Ning Sun
2015 J jnl
Sparse Markov chain-based semi-supervised multi-instance multi-label method for protein function prediction.
J. Bioinform. Comput. Biol.
Chao Han, Jian Chen, Qingyao Wu, Shuai Mu, Huaqing Min
2014 A conf
A Generative Model with Network Regularization for Semi-Supervised Collective Classification.
SDM
Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho
2014 J jnl
Collective prediction of protein functions from protein-protein interaction networks.
BMC Bioinform.
Qingyao Wu, Yunming Ye, Michael K. Ng, Shen-Shyang Ho, Ruichao Shi
2014 J jnl
Cotransfer Learning Using Coupled Markov Chains with Restart.
IEEE Intell. Syst.
Qingyao Wu, Michael K. Ng, Yunming Ye
2014 J jnl
ForesTexter: An efficient random forest algorithm for imbalanced text categorization.
Knowl. Based Syst.
Qingyao Wu, Yunming Ye, Haijun Zhang, Michael K. Ng, Shen-Shyang Ho
2014 J jnl
Multi-label collective classification via Markov chain based learning method.
Knowl. Based Syst.
Qingyao Wu, Michael K. Ng, Yunming Ye, Xutao Li, Ruichao Shi, Yan Li
2013 — conf
Cluster tree based multi-label classification for protein function prediction.
BIBM
Qingyao Wu, Yunming Ye, Xiaofeng Zhang, Shen-Shyang Ho
2013 J jnl
Markov-Miml: A Markov chain-based multi-instance multi-label learning algorithm.
Knowl. Inf. Syst.
Qingyao Wu, Michael K. Ng, Yunming Ye
2013 J jnl
Stratified sampling for feature subspace selection in random forests for high dimensional data.
Pattern Recognit.
Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li
2013 J jnl
Unknown Chinese word extraction based on variety of overlapping strings.
Inf. Process. Manag.
Yunming Ye, Qingyao Wu, Yan Li, Kam-Pui Chow, Lucas Chi Kwong Hui, Siu-Ming Yiu
2012 — conf
MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension.
BIBM
Xutao Li, Yunming Ye, Qingyao Wu, Michael K. Ng
2011 — conf
Stratified Random Forest for Genome-wide Association Study.
BIBM
Qingyao Wu, Yunming Ye, Yang Liu, Michael K. Ng
2010 — conf
A Refinement Approach to Handling Model Misfit in Semi-supervised Learning.
ADMA (2)
Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu
2010 B conf
Exploiting Word Cluster Information for Unsupervised Feature Selection.
PRICAI
Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang