| 2026 | AAAI | Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation. | Yuxuan Chou, Tao Yu, Wen Huang, Yuheng Zhang, Tao Dai, Shu-Tao Xia |
| 2026 | AAAI | CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection. | Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia |
| 2025 | AAAI | DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection. | Tao Dai, Yang Lin, Hang Guo, Jinbao Wang, Zexuan Zhu |
| 2025 | AAAI | GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud. | Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu |
| 2025 | AAAI | Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. | Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai |
| 2025 | AAAI | CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. | Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia |
| 2025 | AAAI | EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models. | Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang |
| 2025 | AAAI | Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. | Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia |
| 2025 | CVPR | Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning. | Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia |
| 2025 | CVPR | MambaIRv2: Attentive State Space Restoration. | Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li |
| 2025 | CVPR | Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations. | Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia |
| 2025 | CVPR | Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception. | Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia |
| 2025 | CVPR | PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter. | Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia |
| 2025 | ICASSP | LNeRV: Learnable Hierarchical Encoding Improve Neural Representation Video Codec. | Jiahong Chen, Xiang Liu, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia |
| 2025 | ICCV | FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning. | Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini |
| 2025 | ICCV | Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression. | Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shu-Tao Xia, Yaowei Wang |
| 2025 | ICML | IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. | Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini |
| 2025 | ICML | 3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors. | Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia |
| 2025 | ICML | TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting. | Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan |
| 2025 | ICML | TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. | Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia |
| 2025 | ICPADS | A BERT-Assisted LLM Framework for Knowledge Graph Construction. | Yixin Jiang, Kaitian Huang, Ximing Zhang, Wenqian Xu, Zhihong Liang, Yiwei Yang, Peiming Xu, Tao Dai, Leyu Bi |
| 2025 | IJCAI | MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. | Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang |
| 2025 | IJCAI | DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution. | Tao Dai, Song Wang, Hang Guo, Jianping Wang, Zexuan Zhu |
| 2025 | IJCAI | Efficient Differentiable Approximation of Generalized Low-rank Regularization. | Naiqi Li, Yuqiu Xie, Peiyuan Liu, Tao Dai, Yong Jiang, Shutao Xia |
| 2025 | IJCAI | Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning. | Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia |
| 2025 | ICRA | Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning. | Yujun Liu, Yaohua Zha, Naiqi Li, Tao Dai, Bin Chen, Shu-Tao Xia |
| 2025 | WWW | MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. | YuJun Liu, Chen-Hui Song, Peiyuan Liu, Naiqi Li, Tao Dai, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | AAAI | Procedural Level Generation with Diffusion Models from a Single Example. | Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang |
| 2024 | AAAI | Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. | Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2024 | AAAI | Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. | Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia |
| 2024 | ECCV | CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. | Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia |
| 2024 | ECCV | MambaIR: A Simple Baseline for Image Restoration with State-Space Model. | Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia |
| 2024 | ICASSP | WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. | Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | ICIP | Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. | Shiyu Qin, Yi-Min Zhou, Jin-Peng Wang, Bin Chen, Baoyi An, Tao Dai, Shu-Tao Xia |
| 2024 | ICLR | Periodicity Decoupling Framework for Long-term Series Forecasting. | Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia |
| 2024 | ICLR | Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. | Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia |
| 2024 | IJCAI | FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution. | Tao Dai, Jianping Wang, Hang Guo, Jinmin Li, Jinbao Wang, Zexuan Zhu |
| 2024 | IJCAI | Invertible Residual Rescaling Models. | Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang |
| 2024 | IJCAI | Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. | Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo |
| 2024 | IJCAI | GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. | Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia |
| 2024 | WWW | RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. | Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia |
| 2023 | AAAI | Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. | Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia |
| 2023 | AAAI | Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. | Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia |
| 2023 | AAAI | FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. | Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2023 | ICASSP | Difficulty-Aware Data Augmentor for Scene Text Recognition. | Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia |
| 2023 | ICASSP | Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. | Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia |
| 2023 | ICASSP | SFR: Semantic-Aware Feature Rendering of Point Cloud. | Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia |
| 2023 | ICCV | Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. | Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia |
| 2023 | ICCV | Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. | Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2023 | IJCAI | Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. | Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia |
| 2023 | IJCNN | DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. | Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia |
| 2022 | AAAI | Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. | Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2022 | ECCV | NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer. | Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia |
| 2022 | ICASSP | Self-Ensemble Variance Regularization for Domain Adaptation. | Xinyi Liu, Tao Dai, Shu-Tao Xia, Yong Jiang |
| 2022 | ICIP | Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. | Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia |
| 2021 | AAAI | Knowledge Refinery: Learning from Decoupled Label. | Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia |
| 2021 | ICASSP | Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net. | Bin Cheng, Tao Dai, Bin Chen, Shutao Xia, Xiu Li |
| 2021 | ICASSP | HOCA: Higher-Order Channel Attention for Single Image Super-Resolution. | Yalei Lv, Tao Dai, Bin Chen, Jian Lu, Shu-Tao Xia, Jingchao Cao |
| 2021 | ICASSP | Webly Supervised Deep Attentive Quantization. | Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2021 | ICASSP | Class Aware Robust Training. | Zhikang Xia, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2021 | ICASSP | Bishift-Net for Image Inpainting. | Xue Zhou, Tao Dai, Yong Jiang, Shu-Tao Xia |
| 2021 | IJCNN | Attribute Structured Knowledge Distillation. | Yunxiao Wang, Tao Dai, Bin Chen, Shutao Xia |
| 2021 | IJCNN | D2Defend: Dual-Domain based Defense against Adversarial Examples. | Xin Yan, Yanjie Li, Tao Dai, Yang Bai, Shu-Tao Xia |
| 2021 | IJCNN | EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. | Mingyan Zhu, Tao Dai, Shu-Tao Xia, Maowei Hu |
| 2021 | KSEM | Knowledge Distillation via Channel Correlation Structure. | Bo Li, Bin Chen, Yunxiao Wang, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia |
| 2020 | AAAI | Adversarial Attack on Deep Product Quantization Network for Image Retrieval. | Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia |
| 2020 | ICASSP | Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. | Yuyuan Zeng, Tao Dai, Shu-Tao Xia |
| 2020 | ICIP | Enhanced Image Restoration Via Supervised Target Feature Transfer. | Yuzhao Chen, Tao Dai, Xi Xiao, Jian Lu, Shu-Tao Xia |
| 2020 | ICIP | Hrnet: Hamiltonian Rescaling Network for Image Downscaling. | Yuzhao Chen, Xi Xiao, Tao Dai, Shu-Tao Xia |
| 2020 | ICIP | Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution. | Zibin He, Tao Dai, Jian Lu, Yong Jiang, Shu-Tao Xia |
| 2020 | ICPR | Progressive Splitting and Upscaling Structure for Super-Resolution. | Qiang Li, Tao Dai, Shu-Tao Xia |
| 2020 | ICPR | Sample-aware Data Augmentor for Scene Text Recognition. | Guanghao Meng, Tao Dai, Shudeng Wu, Bin Chen, Jian Lu, Yong Jiang, Shu-Tao Xia |
| 2020 | IJCNN | Generalized Local Aggregation for Large Scale Gaussian Process Regression. | Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia |
| 2020 | ICPR | Transferable Adversarial Attacks for Deep Scene Text Detection. | Shudeng Wu, Tao Dai, Guanghao Meng, Bin Chen, Jian Lu, Shu-Tao Xia |
| 2020 | SIGCOMM | SAM: Self-Attention based Deep Learning Method for Online Traffic Classification. | Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard O. Sinnott, Shutao Xia |
| 2019 | CVPR | Second-Order Attention Network for Single Image Super-Resolution. | Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang |
| 2019 | ICCV | Hilbert-Based Generative Defense for Adversarial Examples. | Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shutao Xia, Yong Jiang |
| 2019 | ICONIP | Self-attentive Pyramid Network for Single Image De-raining. | Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia |
| 2019 | IJCAI | Automatic Grassland Degradation Estimation Using Deep Learning. | Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng |
| 2019 | VCIP | Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. | Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia |
| 2018 | ICASSP | Sure-Based Dual Domain Image Denoising. | Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia |
| 2018 | ICASSP | Self -Paced Mixture of T Distribution Model. | Yang Zhang, Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia |
| 2018 | ICIP | Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels. | Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia |
| 2018 | ICIP | Portrait-Aware Artistic Style Transfer. | Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia |
| 2017 | DCC | Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. | Weizhi Lu, Tao Dai, Shu-Tao Xia |
| 2017 | ICIP | Foveated nonlocal dual denoising. | Tao Dai, Ke Gu, Qingtao Tang, Kwok-Wai Hung, Yongbing Zhang, Weizhi Lu, Shu-Tao Xia |
| 2017 | ICIP | Blind quality assessment of multiply-distorted images based on structural degradation. | Tao Dai, Ke Gu, Zhiya Xu, Qingtao Tang, Haoyi Liang, Yongbing Zhang, Shu-Tao Xia |
| 2017 | IJCAI | Robust Survey Aggregation with Student-t Distribution and Sparse Representation. | Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai |
| 2017 | IJCAI | Student-t Process Regression with Student-t Likelihood. | Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia |
| 2016 | ICNC | Development of the health decision support system (HDSS) in Canada and its implications in China. | Hongpu Hu, Tao Dai, Xing Gao, Quan Chen, Xingyun Lei |
| 2015 | ICASSP | Deterministic constructions of binary measurement matrices with various sizes. | Xin-Ji Liu, Shu-Tao Xia, Tao Dai |
| 2015 | ICIP | PMPA: A patch-based multiscale products algorithm for image denoising. | Tao Dai, Chao-Bing Song, Jiping Zhang, Shu-Tao Xia |
| 2015 | ICONIP | Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions. | Jiping Zhang, Tao Dai, Shu-Tao Xia |