Deterministic constructions of binary measurement matrices with various sizes. - Xin-Ji Liu; Shu-Tao Xia; Tao Dai 001 (ICASSP, 2015)

PMPA: A patch-based multiscale products algorithm for image denoising. - Tao Dai 001; Chao-Bing Song; Jiping Zhang; Shu-Tao Xia (ICIP, 2015)

Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions. - Jiping Zhang; Tao Dai 001; Shu-Tao Xia (ICONIP (3), 2015)

Compressed Sensing Performance of Binary Matrices with Binary Column Correlations. - Weizhi Lu; Tao Dai 001; Shu-Tao Xia (DCC, 2017)

Foveated nonlocal dual denoising. - Tao Dai 001; Ke Gu 001; Qingtao Tang; Kwok-Wai Hung; Yongbing Zhang 002; Weizhi Lu; Shu-Tao Xia (ICIP, 2017)

Blind quality assessment of multiply-distorted images based on structural degradation. - Tao Dai 001; Ke Gu 001; Zhiya Xu; Qingtao Tang; Haoyi Liang; Yongbing Zhang 002; Shu-Tao Xia (ICIP, 2017)

Robust Survey Aggregation with Student-t Distribution and Sparse Representation. - Qingtao Tang; Tao Dai 001; Li Niu 002; Yisen Wang 001; Shu-Tao Xia; Jianfei Cai 001 (IJCAI, 2017)

Student-t Process Regression with Student-t Likelihood. - Qingtao Tang; Li Niu 002; Yisen Wang 001; Tao Dai 001; Wangpeng An; Jianfei Cai 001; Shu-Tao Xia (IJCAI, 2017)

A generic denoising framework via guided principal component analysis. - Tao Dai 001; Zhiya Xu; Haoyi Liang; Ke Gu 001; Qingtao Tang; Yisen Wang 001; Weizhi Lu; Shu-Tao Xia (J. Vis. Commun. Image Represent., 2017)

Entropy-based bilateral filtering with a new range kernel. - Tao Dai 001; Weizhi Lu; Wei Wang 138; Jilei Wang; Shu-Tao Xia (Signal Process., 2017)

Content-Aware Bilateral Filtering. - Tao Dai 001; Yongbing Zhang 002; Li Dong 006; Lida Li; Xin-Ji Liu; Shu-Tao Xia (BigMM, 2018)

A New Guided Image Denoising by Principal Component Analysis with Local Pixel Grouping. - Xinji Liu; Tao Dai 001 (BigMM, 2018)

Sure-Based Dual Domain Image Denoising. - Zhiya Xu; Tao Dai 001; Li Niu 002; Jiawei Li 006; Qingtao Tang; Shu-Tao Xia (ICASSP, 2018)

Self -Paced Mixture of T Distribution Model. - Yang Zhang 016; Qingtao Tang; Li Niu 002; Tao Dai 001; Xi Xiao; Shu-Tao Xia (ICASSP, 2018)

Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels. - Jiawei Li 006; Tao Dai 001; Qingtao Tang; Yeli Xing; Shu-Tao Xia (ICIP, 2018)

Portrait-Aware Artistic Style Transfer. - Yeli Xing; Jiawei Li 006; Tao Dai 001; Qingtao Tang; Li Niu 002; Shu-Tao Xia (ICIP, 2018)

Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling. - Li Dong 006; Jiantao Zhou 001; Tao Dai 001 (ICME, 2018)

Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization. - Jilei Wang; Shiying Luo; Weiyan Shi; Tao Dai 001; Shu-Tao Xia (Rep4NLP@ACL, 2018)

Referenceless quality metric of multiply-distorted images based on structural degradation. - Tao Dai 001; Ke Gu 001; Li Niu 002; Yongbing Zhang 002; Weizhi Lu; Shu-Tao Xia (Neurocomputing, 2018)

Binary Matrices for Compressed Sensing. - Weizhi Lu; Tao Dai 001; Shu-Tao Xia (IEEE Trans. Signal Process., 2018)

Second-Order Attention Network for Single Image Super-Resolution. - Tao Dai 001; Jianrui Cai; Yongbing Zhang 002; Shu-Tao Xia; Lei Zhang 006 (CVPR, 2019)

Hilbert-Based Generative Defense for Adversarial Examples. - Yang Bai; Yan Feng; Yisen Wang 001; Tao Dai 001; Shutao Xia; Yong Jiang 001 (ICCV, 2019)

Image Super-Resolution via Residual Block Attention Networks. - Tao Dai 001; Hua Zha; Yong Jiang 001; Shu-Tao Xia (ICCV Workshops, 2019)

AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. - Dario Fuoli; Xiaoyong Shen; Shutao Xia; Yurong Dai; Jiaya Jia; Peng Yi 002; Zhongyuan Wang 001; Kui Jiang; Junjun Jiang; Jiayi Ma 001; Zhiwei Zhong; Shuhang Gu; et al. (ICCV Workshops, 2019)

Attentiondrop for Convolutional Neural Networks. - Zhihao Ouyang; Yan Feng; Zihao He; Tianbo Hao; Tao Dai 001; Shu-Tao Xia (ICME, 2019)

Neural Style Transfer with Content Discrimination. - Xiyu Yan; Yeli Xing; Zihao He; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (ICME Workshops, 2019)

Residual Frame for Noisy Video Classification According to Perceptual Quality in Convolutional Neural Networks. - Huaixuan Zhang; Yuhai Lan; Tao Dai 001; Ruizhi Qiao; Ying Xu; Yao Yao 006; Shu-Tao Xia (ICME, 2019)

Self-attentive Pyramid Network for Single Image De-raining. - Taian Guo; Tao Dai 001; Jiawei Li 006; Shu-Tao Xia (ICONIP (1), 2019)

Automatic Grassland Degradation Estimation Using Deep Learning. - Xiyu Yan; Yong Jiang 001; Shuai Chen; Zihao He; Chunmei Li; Shu-Tao Xia; Tao Dai 001; Shuo Dong; Feng Zheng (IJCAI, 2019)

Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. - Jiawei Li 006; Xingchun Xiang; Tao Dai 001; Shu-Tao Xia (VCIP, 2019)

Adversarial Attack on Deep Product Quantization Network for Image Retrieval. - Yan Feng; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (AAAI, 2020)

Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. - Yuyuan Zeng; Tao Dai 001; Shu-Tao Xia (ICASSP, 2020)

Enhanced Image Restoration Via Supervised Target Feature Transfer. - Yuzhao Chen; Tao Dai 001; Xi Xiao; Jian Lu 002; Shu-Tao Xia (ICIP, 2020)

Hrnet: Hamiltonian Rescaling Network for Image Downscaling. - Yuzhao Chen; Xi Xiao; Tao Dai 001; Shu-Tao Xia (ICIP, 2020)

Fakd: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution. - Zibin He; Tao Dai 001; Jian Lu 002; Yong Jiang 001; Shu-Tao Xia (ICIP, 2020)

Progressive Splitting and Upscaling Structure for Super-Resolution. - Qiang Li 055; Tao Dai 001; Shu-Tao Xia (ICPR, 2020)

Sample-aware Data Augmentor for Scene Text Recognition. - Guanghao Meng; Tao Dai 001; Shudeng Wu; Bin Chen 011; Jian Lu 002; Yong Jiang 001; Shu-Tao Xia (ICPR, 2020)

Transferable Adversarial Attacks for Deep Scene Text Detection. - Shudeng Wu; Tao Dai 001; Guanghao Meng; Bin Chen 011; Jian Lu 002; Shu-Tao Xia (ICPR, 2020)

Generalized Local Aggregation for Large Scale Gaussian Process Regression. - Yinghua Gao; Naiqi Li; Ning Ding 002; Yiming Li 004; Tao Dai 001; Shu-Tao Xia (IJCNN, 2020)

DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples. - Tao Dai 001; Yan Feng; Dongxian Wu; Bin Chen 011; Jian Lu 002; Yong Jiang 001; Shu-Tao Xia (ACM Multimedia, 2020)

SAM: Self-Attention based Deep Learning Method for Online Traffic Classification. - Guorui Xie; Qing Li 006; Yong Jiang 001; Tao Dai 001; Gengbiao Shen; Rui Li 042; Richard O. Sinnott; Shutao Xia (NetAI@SIGCOMM, 2020)

JSRT: James-Stein Regression Tree. - Xingchun Xiang; Qingtao Tang; Huaixuan Zhang; Tao Dai 001; Jiawei Li 006; Shu-Tao Xia (CoRR, 2020)

DPAttack: Diffused Patch Attacks against Universal Object Detection. - Shudeng Wu; Tao Dai 001; Shu-Tao Xia (CoRR, 2020)

Knowledge Refinery: Learning from Decoupled Label. - Qianggang Ding; Sifan Wu; Tao Dai 001; Hao Sun; Jiadong Guo; Zhang-Hua Fu; Shutao Xia (AAAI, 2021)

Efficient Face Manipulation Via Deep Feature Disentanglement And Reintegration Net. - Bin Cheng; Tao Dai 001; Bin Chen 011; Shutao Xia; Xiu Li 001 (ICASSP, 2021)

HOCA: Higher-Order Channel Attention for Single Image Super-Resolution. - Yalei Lv; Tao Dai 001; Bin Chen 011; Jian Lu 002; Shu-Tao Xia; Jingchao Cao (ICASSP, 2021)

Webly Supervised Deep Attentive Quantization. - Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (ICASSP, 2021)

Class Aware Robust Training. - Zhikang Xia; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (ICASSP, 2021)

Bishift-Net for Image Inpainting. - Xue Zhou; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2021)

Attribute Structured Knowledge Distillation. - Yunxiao Wang; Tao Dai 001; Bin Chen 011; Shutao Xia (IJCNN, 2021)

D2Defend: Dual-Domain based Defense against Adversarial Examples. - Xin Yan; Yanjie Li; Tao Dai 001; Yang Bai; Shu-Tao Xia (IJCNN, 2021)

EDKE: Encoder-Decoder based Kernel Estimation for Blind Image Super-resolution. - Mingyan Zhu 001; Tao Dai 001; Shu-Tao Xia; Maowei Hu (IJCNN, 2021)

Knowledge Distillation via Channel Correlation Structure. - Bo Li; Bin Chen 011; Yunxiao Wang; Tao Dai 001; Maowei Hu; Yong Jiang 001; Shutao Xia (KSEM, 2021)

Mix-order Attention Networks for Image Restoration. - Tao Dai 001; Yalei Lv; Bin Chen 011; Zhi Wang 001; Zexuan Zhu; Shu-Tao Xia (ACM Multimedia, 2021)

Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval. - Ziyun Zeng; Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (CoRR, 2021)

S2A: Scale-Attention-Aware Networks for Video Super-Resolution. - Taian Guo; Tao Dai 001; Ling Liu 003; Zexuan Zhu; Shu-Tao Xia (Entropy, 2021)

Correlation-based structural dropout for convolutional neural networks. - Yuyuan Zeng; Tao Dai 001; Bin Chen 011; Shu-Tao Xia; Jian Lu 002 (Pattern Recognit., 2021)

Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. - Jinpeng Wang 002; Ziyun Zeng; Bin Chen 011; Tao Dai 001; Shu-Tao Xia (AAAI, 2022)

NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer. - Yunxiao Wang; Yanjie Li; Peidong Liu; Tao Dai 001; Shu-Tao Xia (ECCV (32), 2022)

Self-Ensemble Variance Regularization for Domain Adaptation. - Xinyi Liu; Tao Dai 001; Shu-Tao Xia; Yong Jiang 001 (ICASSP, 2022)

Context Feature Guided Network for Image Super-resolution. - Mengxi Ya; Tao Dai 001; Ling Liu 003; Jieyin Lv; Shu-Tao Xia (ICDIS, 2022)

Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. - Hongwei Li; Tao Dai 001; Yiming Li 004; Xueyi Zou; Shu-Tao Xia (ICIP, 2022)

A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling. - Qiang Li 055; Tao Dai 001; Shu-Tao Xia (CoRR, 2022)

Open-Vocabulary Multi-Label Classification via Multi-modal Knowledge Transfer. - Sunan He; Taian Guo; Tao Dai 001; Ruizhi Qiao; Bo Ren 002; Shu-Tao Xia (CoRR, 2022)

VLMAE: Vision-Language Masked Autoencoder. - Sunan He; Taian Guo; Tao Dai 001; Ruizhi Qiao; Chen Wu; Xiujun Shu; Bo Ren 002 (CoRR, 2022)

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai. - Yujun Huang; Bin Chen 011; Shiyu Qin; Jiawei Li 006; Yaowei Wang 001; Tao Dai 001; Shu-Tao Xia (CoRR, 2022)

Towards Effective Image Manipulation Detection with Proposal Contrastive Learning. - Yuyuan Zeng; Bowen Zhao 003; Shanzhao Qiu; Tao Dai 001; Shu-Tao Xia (CoRR, 2022)

Deep image prior based defense against adversarial examples. - Tao Dai 001; Yan Feng; Bin Chen 011; Jian Lu 002; Shu-Tao Xia (Pattern Recognit., 2022)

Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. - Sunan He; Taian Guo; Tao Dai 001; Ruizhi Qiao; Xiujun Shu; Bo Ren 002; Shu-Tao Xia (AAAI, 2023)

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. - Yujun Huang; Bin Chen 011; Shiyu Qin; Jiawei Li 006; Yaowei Wang 001; Tao Dai 001; Shu-Tao Xia (AAAI, 2023)

FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. - Jinmin Li; Tao Dai 001; Mingyan Zhu 001; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (AAAI, 2023)

Difficulty-Aware Data Augmentor for Scene Text Recognition. - Guanghao Meng; Tao Dai 001; Bin Chen 011; Naiqi Li; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2023)

Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. - Jianyu Xiong; Tao Dai 001; Yaohua Zha; Xin Wang 001; Shu-Tao Xia (ICASSP, 2023)

SFR: Semantic-Aware Feature Rendering of Point Cloud. - Yaohua Zha; Rongsheng Li; Tao Dai 001; Jianyu Xiong; Xin Wang 001; Shu-Tao Xia (ICASSP, 2023)

Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. - Yaohua Zha; Jinpeng Wang 002; Tao Dai 001; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (ICCV, 2023)

Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. - Xinyi Zhang; Naiqi Li; Jiawei Li 006; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (ICCV, 2023)

Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. - Hang Guo; Tao Dai 001; Guanghao Meng; Shu-Tao Xia (IJCAI, 2023)

DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. - Xinyi Zhang; Tao Dai 001; Bin Chen 011; Shu-Tao Xia (IJCNN, 2023)

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer. - Hang Guo; Tao Dai 001; Mingyan Zhu 001; Guanghao Meng; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (ACM Multimedia, 2023)

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. - Shiyu Qin; Yi-Min Zhou 011; Jinpeng Wang 002; Bin Chen 011; Baoyi An; Tao Dai 001; Shu-Tao Xia (CoRR, 2023)

Perceptual Image Compression with Cooperative Cross-Modal Side Information. - Shiyu Qin; Bin Chen 011; Yujun Huang; Baoyi An; Tao Dai 001; Shu-Tao Xia (CoRR, 2023)

AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models. - Hang Guo; Tao Dai 001; Yuanchao Bai; Bin Chen 011; Shu-Tao Xia; Zexuan Zhu (CoRR, 2023)

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval. - Bin Chen 011; Yan Feng; Tao Dai 001; Jiawang Bai; Yong Jiang 001; Shu-Tao Xia; Xuan Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Toward Effective Image Manipulation Detection With Proposal Contrastive Learning. - Yuyuan Zeng; Bowen Zhao 003; Shanzhao Qiu; Tao Dai 001; Shu-Tao Xia (IEEE Trans. Circuits Syst. Video Technol., 2023)

Efficient dual domain image denoising via SURE-based optimization. - Tao Dai 001; Yanjie Li (Int. J. Mach. Learn. Cybern., 2023)

Procedural Level Generation with Diffusion Models from a Single Example. - Shiqi Dai; Xuanyu Zhu; Naiqi Li; Tao Dai 001; Zhi Wang 001 (AAAI, 2024)

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. - Yaohua Zha; Huizhen Ji; Jinmin Li; Rongsheng Li; Tao Dai 001; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia (AAAI, 2024)

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. - Taolin Zhang 003; Sunan He; Tao Dai 001; Zhi Wang 001; Bin Chen 011; Shu-Tao Xia (AAAI, 2024)

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. - Hao Fang 011; Jiawei Kong; Bin Chen 011; Tao Dai 001; Hao Wu; Shu-Tao Xia (ECCV (28), 2024)

MambaIR: A Simple Baseline for Image Restoration with State-Space Model. - Hang Guo; Jinmin Li; Tao Dai 001; Zhihao Ouyang; Xudong Ren; Shu-Tao Xia (ECCV (18), 2024)

WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Naiqi Li; Tao Dai 001; Fengmao Lei; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2024)

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression. - Shiyu Qin; Yi-Min Zhou 011; Jin-Peng Wang; Bin Chen 011; Baoyi An; Tao Dai 001; Shu-Tao Xia (ICIP, 2024)

Periodicity Decoupling Framework for Long-term Series Forecasting. - Tao Dai 001; Beiliang Wu; Peiyuan Liu; Naiqi Li; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (ICLR, 2024)

Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. - Mengxi Ya; Yiming Li 004; Tao Dai 001; Bin Wang 034; Yong Jiang 001; Shu-Tao Xia (ICLR, 2024)

FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution. - Tao Dai 001; Jianping Wang; Hang Guo; Jinmin Li; Jinbao Wang; Zexuan Zhu (IJCAI, 2024)

Invertible Residual Rescaling Models. - Jinmin Li; Tao Dai 001; Yaohua Zha; Yilu Luo; Longfei Lu; Bin Chen 011; Zhi Wang 001; Shu-Tao Xia; Jingyun Zhang (IJCAI, 2024)

Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. - Jinmin Li; Tao Dai 001; Jingyun Zhang; Kang Liu; Jun Wang; Shaoming Wang; Shu-Tao Xia; Rizen Guo (IJCAI, 2024)

GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. - Yuqiu Xie; Bolin Jiang; Jiawei Li 006; Naiqi Li; Bin Chen 011; Tao Dai 001; Yuang Peng; Shu-Tao Xia (IJCAI, 2024)

Large Point-to-Gaussian Model for Image-to-3D Generation. - Longfei Lu; Huachen Gao; Tao Dai 001; Yaohua Zha; Zhi Hou; Junta Wu; Shu-Tao Xia (ACM Multimedia, 2024)

Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning. - Hongze Zhu; Guoyang Xie; Chengbin Hou; Tao Dai 001; Can Gao; Jinbao Wang; Linlin Shen (ACM Multimedia, 2024)

DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting. - Tao Dai 001; Beiliang Wu; Peiyuan Liu; Naiqi Li; Xue Yuerong; Shu-Tao Xia; Zexuan Zhu (NeurIPS, 2024)

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping. - Taolin Zhang 003; Jinpeng Wang 002; Hang Guo; Tao Dai 001; Bin Chen 011; Shu-Tao Xia (NeurIPS, 2024)

Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts. - Hang Guo; Tao Dai 001; Yuanchao Bai; Bin Chen 011; Xudong Ren; Zexuan Zhu; Shu-Tao Xia (NeurIPS, 2024)

ReFIR: Grounding Large Restoration Models with Retrieval Augmentation. - Hang Guo; Tao Dai 001; Zhihao Ouyang; Taolin Zhang 003; Yaohua Zha; Bin Chen 011; Shu-Tao Xia (NeurIPS, 2024)

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. - Yaohua Zha; Naiqi Li; Yanzi Wang; Tao Dai 001; Hang Guo; Bin Chen 011; Zhi Wang 001; Zhihao Ouyang; Shu-Tao Xia (NeurIPS, 2024)

RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. - Yushen Li; Jinpeng Wang 002; Tao Dai 001; Jieming Zhu; Jun Yuan 008; Rui Zhang 003; Shu-Tao Xia (WWW (Companion Volume), 2024)

SpirDet: Towards Efficient, Accurate and Lightweight Infrared Small Target Detector. - Qianchen Mao; Qiang Li 055; Bingshu Wang; Yongjun Zhang 007; Tao Dai 001; C. L. Philip Chen (CoRR, 2024)

Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (CoRR, 2024)

GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval. - Yuting Wang; Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Ruisheng Luo; Shu-Tao Xia (CoRR, 2024)

MambaVC: Learned Visual Compression with Selective State Spaces. - Shiyu Qin; Jinpeng Wang 002; Yimin Zhou 011; Bin Chen 011; Tianci Luo; Baoyi An; Tao Dai 001; Shutao Xia; Yaowei Wang 001 (CoRR, 2024)

Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. - Jiarui Yang; Tao Dai 001; Naiqi Li; Junxi Wu; Peiyuan Liu; Jinmin Li; Jigang Bao; Haigang Zhang; Shutao Xia (CoRR, 2024)

Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation. - Xinhao Zhong; Hao Fang 011; Bin Chen 011; Xulin Gu; Tao Dai 001; Meikang Qiu; Shu-Tao Xia (CoRR, 2024)

Pre-training Point Cloud Compact Model with Partial-aware Reconstruction. - Yaohua Zha; Yanzi Wang; Tao Dai 001; Shu-Tao Xia (CoRR, 2024)

CLIP-Guided Networks for Transferable Targeted Attacks. - Hao Fang 011; Jiawei Kong; Bin Chen 011; Tao Dai 001; Hao Wu; Shu-Tao Xia (CoRR, 2024)

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting. - Peiyuan Liu; Beiliang Wu; Yifan Hu; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2024)

Towards Scalable Semantic Representation for Recommendation. - Taolin Zhang 003; Junwei Pan; Jinpeng Wang 002; Yaohua Zha; Tao Dai 001; Bin Chen 011; Ruisheng Luo; Xiaoxiang Deng; Yuan Wang; Ming Yue; Jie Jiang 015; Shu-Tao Xia (CoRR, 2024)

Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders. - Yaohua Zha; Tao Dai 001; Yanzi Wang; Hang Guo; Taolin Zhang 003; Zhihao Ouyang; Chunlin Fan; Bin Chen 011; Ke Chen; Shu-Tao Xia (CoRR, 2024)

IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models. - Hang Guo; Yawei Li 001; Tao Dai 001; Shu-Tao Xia; Luca Benini (CoRR, 2024)

Pyramid hybrid pooling quantization for efficient fine-grained image retrieval. - Ziyun Zeng; Jinpeng Wang 002; Bin Chen 011; Tao Dai 001; Shu-Tao Xia; Zhi Wang 001 (Pattern Recognit. Lett., 2024)

SpirDet: Toward Efficient, Accurate, and Lightweight Infrared Small-Target Detector. - Qianchen Mao; Qiang Li 055; Bingshu Wang; Yongjun Zhang 007; Tao Dai 001; C. L. Philip Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution. - Tao Dai 001; Mengxi Ya; Jinmin Li; Xinyi Zhang; Shu-Tao Xia; Zexuan Zhu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection. - Tao Dai 001; Yang Lin; Hang Guo; Jinbao Wang; Zexuan Zhu (AAAI, 2025)

GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud. - Tao Dai 001; Yanzi Wang; Jianyu Xiong; Yaohua Zha; Shu-Tao Xia; Zexuan Zhu (AAAI, 2025)

Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. - Yifan Hu; Peiyuan Liu; Peng Zhu; Dawei Cheng; Tao Dai 001 (AAAI, 2025)

CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning. - Peiyuan Liu; Hang Guo; Tao Dai 001; Naiqi Li; Jigang Bao; Xudong Ren; Yong Jiang 001; Shu-Tao Xia (AAAI, 2025)

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models. - Guanghao Meng; Sunan He; Jinpeng Wang 002; Tao Dai 001; Letian Zhang; Jieming Zhu; Qing Li 006; Gang Wang; Rui Zhang 003; Yong Jiang 001 (AAAI, 2025)

Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution. - Jiarui Yang; Tao Dai 001; Yufei Zhu; Naiqi Li; Jinmin Li; Shu-Tao Xia (AAAI, 2025)

Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning. - Jinpeng Wang 002; Tianci Luo; Yaohua Zha; Yan Feng; Ruisheng Luo; Bin Chen 011; Tao Dai 001; Long Chen 016; Yaowei Wang 001; Shu-Tao Xia (CVPR, 2025)

MambaIRv2: Attentive State Space Restoration. - Hang Guo; Yong Guo; Yaohua Zha; Yulun Zhang 001; Wenbo Li 002; Tao Dai 001; Shu-Tao Xia; Yawei Li 001 (CVPR, 2025)

Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations. - Haitong Liu; Kuofeng Gao; Yang Bai; Jinmin Li; Jinxiao Shan; Tao Dai 001; Shu-Tao Xia (CVPR, 2025)

Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception. - Baixuan Lv; Yaohua Zha; Tao Dai 001; Xue Yuerong; Ke Chen; Shu-Tao Xia (CVPR, 2025)

PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter. - Yaohua Zha; Yanzi Wang; Hang Guo; Jinpeng Wang 002; Tao Dai 001; Bin Chen 011; Zhihao Ouyang; Xue Yuerong; Ke Chen; Shu-Tao Xia (CVPR, 2025)

LNeRV: Learnable Hierarchical Encoding Improve Neural Representation Video Codec. - Jiahong Chen; Xiang Liu; Bin Chen 011; Baoyi An; Tao Dai 001; Shu-Tao Xia (ICASSP, 2025)

MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns. - YuJun Liu; Chen-Hui Song; Peiyuan Liu; Naiqi Li; Tao Dai 001; Jigang Bao; Yong Jiang 001; Shu-Tao Xia (WWW (Companion Volume), 2025)

MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation. - Tao Dai 001; Rongliang Huang; Hang Guo; Jinbao Wang; Bo Li; Zexuan Zhu (Big Data Min. Anal., 2025)

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 001; Shu-Tao Xia; Shirui Pan (CoRR, 2025)

FinMamba: Market-Aware Graph Enhanced Multi-Level Mamba for Stock Movement Prediction. - Yifan Hu; Peiyuan Liu; Yuante Li; Dawei Cheng; Naiqi Li; Tao Dai 001; Jigang Bao; Shu-Tao Xia (CoRR, 2025)

FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting. - Yifan Hu; Yuante Li; Peiyuan Liu; Yuxia Zhu; Naiqi Li; Tao Dai 001; Shutao Xia; Dawei Cheng; Changjun Jiang (CoRR, 2025)

FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning. - Hang Guo; Yawei Li 001; Taolin Zhang 003; Jiangshan Wang; Tao Dai 001; Shu-Tao Xia; Luca Benini (CoRR, 2025)

Efficient Differentiable Approximation of Generalized Low-rank Regularization. - Naiqi Li; Yuqiu Xie; Peiyuan Liu; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (CoRR, 2025)

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language. - Naiqi Li; Peiyuan Liu; Zheng Liu; Tao Dai 001; Yong Jiang 001; Shu-Tao Xia (CoRR, 2025)

Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection. - Hanzhe Liang; Jie Zhang; Tao Dai 001; Linlin Shen; Jinbao Wang; Can Gao (CoRR, 2025)

RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization. - Wen Huang; Jiarui Yang; Tao Dai 001; Jiawei Li 006; Shaoxiong Zhan; Bin Wang 034; Shu-Tao Xia (CoRR, 2025)

Personalized Face Super-Resolution with Identity Decoupling and Fitting. - Jiarui Yang; Hang Guo; Wen Huang; Tao Dai 001; Shutao Xia (CoRR, 2025)

Perceptual image compression with textual side information. - Shiyu Qin; Bin Chen 011; Yujun Huang; Baoyi An; Tao Dai 001; Shu-Tao Xia (Pattern Recognit., 2026)