| 2025 | AAAI | IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter. | Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang, Guosheng Lin, Qingyao Wu |
| 2025 | ICANN | CLIP-Guided Frequency-Aware Representation Learning for Generalizable Remote-Sensing Image Tampering Detection. | Hong Lin, Hongyang Zhang, Qingyao Wu, Haitao Zhang, Xinghao Ding, Yue Huang, Xiaotong Tu |
| 2025 | ICASSP | 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 |
| 2025 | KDD | Hexagon-Net: Heterogeneous Cross-View Aligned Graph Attention Networks for Implied Volatility Surface Prediction. | Kaiwei Liang, Ruirui Liu, Huichou Huang, Johannes Ruf, Peilin Zhao, Qingyao Wu |
| 2025 | SDM | Context-Aware Frequency-Embedding Networks for Spatio-Temporal Portfolio Selection. | Ruirui Liu, Huichou Huang, Johannes Ruf, Haoxian Liu, Qingyao Wu |
| 2024 | AAAI | Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. | Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li |
| 2024 | AAAI | Spatial-Semantic Collaborative Cropping for User Generated Content. | Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu |
| 2024 | AAAI | Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. | Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin |
| 2024 | CIKM | A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference. | Yupeng Fang, Ruirui Liu, Huichou Huang, Peilin Zhao, Qingyao Wu |
| 2024 | CIKM | A Payment Transaction Pre-training Model for Fraud Transaction Detection. | Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu |
| 2024 | ECCV | DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. | Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu |
| 2023 | AAAI | DENet: Disentangled Embedding Network for Visible Watermark Removal. | Ruizhou Sun, Yukun Su, Qingyao Wu |
| 2023 | ACL | Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering. | Zhiquan Wen, Yaowei Wang, Mingkui Tan, Qingyao Wu, Qi Wu |
| 2023 | ICDE | A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. | Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu |
| 2023 | ICDE | Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). | Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu |
| 2023 | ICDE | 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 |
| 2023 | ICDE | Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). | Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan |
| 2022 | AAAI | Self-Supervised Object Localization with Joint Graph Partition. | Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu |
| 2022 | ACCV | EffiSeaNet: Pioneering Lightweight Network for Underwater Salient Object Detection. | Qingyao Wu, Zhenqi Fu, Hong Lin, Chenyu Ma, Xiaotong Tu, Xinghao Ding |
| 2022 | ECCV | General Object Pose Transformation Network from Unpaired Data. | Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu |
| 2021 | ICCV | Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity. | Yukun Su, Guosheng Lin, Qingyao Wu |
| 2021 | ICCV | Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. | Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu |
| 2021 | SIGIR | StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. | Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang |
| 2020 | ECCV | Graph Edit Distance Reward: Learning to Edit Scene Graph. | Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu |
| 2020 | ECCV | Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition. | Yukun Su, Guosheng Lin, Jin-Hui Zhu, Qingyao Wu |
| 2020 | ICASSP | Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog. | Zhenhao He, Yuhong He, Qingyao Wu, Jian Chen |
| 2019 | AAAI | Oversampling for Imbalanced Data via Optimal Transport. | Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu |
| 2019 | ICCV | Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation. | Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao |
| 2019 | IJCAI | Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. | Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen |
| 2019 | MICCAI | PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation. | Pengshuai Yin, Qingyao Wu, Yanwu Xu, Huaqing Min, Ming Yang, Yubing Zhang, Mingkui Tan |
| 2019 | MICCAI | From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. | 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 | MICCAI | Attention Guided Network for Retinal Image Segmentation. | Shihao Zhang, Huazhu Fu, Yuguang Yan, Yubing Zhang, Qingyao Wu, Ming Yang, Mingkui Tan, Yanwu Xu |
| 2019 | MICCAI | 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 |
| 2018 | AAAI | A Stratified Feature Ranking Method for Supervised Feature Selection. | Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu |
| 2018 | AAAI | Double Forward Propagation for Memorized Batch Normalization. | Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan |
| 2018 | ACML | Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. | Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu |
| 2018 | CVPR | Visual Grounding via Accumulated Attention. | Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan |
| 2018 | ICML | Adversarial Learning with Local Coordinate Coding. | Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan |
| 2018 | IJCAI | Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. | Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu |
| 2018 | KDD | Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. | Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan |
| 2018 | MICCAI | Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images. | Pengshuai Yin, Mingkui Tan, Huaqing Min, Yanwu Xu, Guanghui Xu, Qingyao Wu, Yunfei Tong, Risa Higashita, Jiang Liu |
| 2017 | ACML | On the Flatness of Loss Surface for Two-layered ReLU Networks. | Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan |
| 2017 | ICCV | A Self-Balanced Min-Cut Algorithm for Image Clustering. | Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu |
| 2017 | ICDM | Tensor Based Relations Ranking for Multi-relational Collective Classification. | Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen |
| 2017 | IJCAI | Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation. | Yuguang Yan, Wen Li, Michael K.-P. Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, Qingyao Wu |
| 2016 | ECCV | Online Heterogeneous Transfer Learning by Weighted Offline and Online Classifiers. | Yuguang Yan, Qingyao Wu, Mingkui Tan, Huaqing Min |
| 2016 | PAKDD | Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation. | Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li |
| 2014 | SDM | A Generative Model with Network Regularization for Semi-Supervised Collective Classification. | Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho |
| 2010 | ADMA | A Refinement Approach to Handling Model Misfit in Semi-supervised Learning. | Hanjing Su, Ling Chen, Yunming Ye, Zhaocai Sun, Qingyao Wu |
| 2010 | PRICAI | Exploiting Word Cluster Information for Unsupervised Feature Selection. | Qingyao Wu, Yunming Ye, Michael K. Ng, Hanjing Su, Joshua Zhexue Huang |