Xia, Shu-Tao

100 publications

ICML 2025 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

CVPR 2025 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

ICLR 2025 An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression Xiang Liu, Bin Chen, Zimo Liu, Yaowei Wang, Shu-Tao Xia

CVPR 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing Niu Lian, Jun Li, Jinpeng Wang, Ruisheng Luo, Yaowei Wang, Shu-Tao Xia, Bin Chen

AAAI 2025 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

ICCV 2025 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

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

ICLR 2025 DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia

AAAI 2025 Efficient Self-Supervised Video Hashing with Selective State Spaces Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia

CVPR 2025 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

ICCV 2025 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen

ICLR 2025 Error-Quantified Conformal Inference for Time Series Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou

ICCV 2025 FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini

AAAI 2025 GCD-Sampling: A General Cross-Scale Decoupled Sampling for Point Cloud Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu

ICLR 2025 Going Beyond Feature Similarity: Effective Dataset Distillation Based on Class-Aware Conditional Mutual Information Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang

NeurIPS 2025 Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs Hao Fang, Changle Zhou, Jiawei Kong, Kuofeng Gao, Bin Chen, Tao Liang, Guojun Ma, Shu-Tao Xia

CVPR 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Meikang Qiu, Shuhan Qi, Shu-Tao Xia

ICML 2025 IntLoRA: Integral Low-Rank Adaptation of Quantized Diffusion Models Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini

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

ICCV 2025 One Perturbation Is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Hao Wu, Shu-Tao Xia, Ke Xu

CVPR 2025 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

IJCAI 2025 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

AAAI 2025 Pre-Trained Vision-Language Models as Noisy Partial Annotators Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia

CVPR 2025 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

ICLR 2025 Stealthy Shield Defense: A Conditional Mutual Information-Based Approach Against Black-Box Model Inversion Attacks Tianqu Zhuang, Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Shu-Tao Xia

ICML 2025 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

ICML 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, Shu-Tao Xia, Shirui Pan

ECCV 2024 A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia

ICLRW 2024 Adversarial Robustness for Visual Grounding of Multimodal Large Language Models Kuofeng Gao, Yang Bai, Jiawang Bai, Yong Yang, Shu-Tao Xia

CVPR 2024 BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu

NeurIPS 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-tao Xia

IJCAI 2024 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

ECCV 2024 CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia

AAAI 2024 Controller-Guided Partial Label Consistency Regularization with Unlabeled Data Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia

NeurIPS 2024 DDN: Dual-Domain Dynamic Normalization for Non-Stationary Time Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu

NeurIPS 2024 Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu, Shu-Tao Xia, Liang Wang

AAAI 2024 GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia

IJCAI 2024 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

ICLR 2024 Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu

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

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

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

CVPR 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-Trained Vision Transfomers Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia

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

ECCV 2024 Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia

ICLR 2024 Periodicity Decoupling Framework for Long-Term Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia

NeurIPS 2024 ReFIR: Grounding Large Restoration Models with Retrieval Augmentation Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-tao Xia

AAAI 2024 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

ICLR 2024 Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia

ICMLW 2024 Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-Based LLMs Jinmin Li, Kuofeng Gao, Yang Bai, Jingyun Zhang, Shu-Tao Xia

AAAI 2024 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

CVPR 2023 Backdoor Defense via Adaptively Splitting Poisoned Dataset Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia

ICLRW 2023 BackdoorBox: A Python Toolbox for Backdoor Learning Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia

AAAI 2023 Contrastive Masked Autoencoders for Self-Supervised Video Hashing Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia

ICLR 2023 Delta: Degradation-Free Fully Test-Time Adaptation Bowen Zhao, Chen Chen, Shu-Tao Xia

NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection Is Closed at Hand Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

AAAI 2023 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

ICCV 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia

ICCV 2023 Instance-Aware Dynamic Prompt Tuning for Pre-Trained Point Cloud Models Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

ICLR 2023 Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia

AAAI 2023 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

CVPR 2023 Learning Transferable Spatiotemporal Representations from Natural Script Knowledge Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge

ICCV 2023 One-Bit Flip Is All You Need: When Bit-Flip Attack Meets Model Training Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia

AAAI 2023 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

ICCV 2023 Towards Robust Model Watermark via Reducing Parametric Vulnerability Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia

IJCAI 2023 Towards Robust Scene Text Image Super-Resolution via Explicit Location Enhancement Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia

ICCV 2023 Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia

NeurIPSW 2022 BAAT: Towards Sample-Specific Backdoor Attack with Clean Labels Yiming Li, Mingyan Zhu, Chengxiao Luo, Haiqin Weng, Yong Jiang, Tao Wei, Shu-Tao Xia

CVPR 2022 Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia

AAAI 2022 Contrastive Quantization with Code Memory for Unsupervised Image Retrieval Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia

UAI 2022 Deep Dirichlet Process Mixture Models Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia

AAAI 2022 Defending Against Model Stealing via Verifying Embedded External Features Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

ICLR 2022 Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia

ECCV 2022 Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu

ECCV 2022 Improving Vision Transformers by Revisiting High-Frequency Components Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu

ECCV 2022 NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia

CVPR 2022 PILC: Practical Image Lossless Compression with an End-to-End GPU Oriented Neural Framework Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shu-Tao Xia

ECCV 2022 SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia

NeurIPS 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li

NeurIPS 2021 Clustering Effect of Adversarial Robust Models Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang

ICMLW 2021 Defending Against Model Stealing via Verifying Embedded External Features Linghui Zhu, Yiming Li, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

ICLR 2021 Improving Adversarial Robustness via Channel-Wise Activation Suppressing Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang

ICLR 2021 Targeted Attack Against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia

ICCV 2021 TokenPose: Learning Keypoint Tokens for Human Pose Estimation Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou

ICMLW 2021 Universal Adversarial Head: Practical Protection Against Video Data Leakage Jiawang Bai, Bin Chen, Dongxian Wu, Chaoning Zhang, Shu-Tao Xia

AAAI 2020 Adversarial Attack on Deep Product Quantization Network for Image Retrieval Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia

NeurIPS 2020 Adversarial Weight Perturbation Helps Robust Generalization Dongxian Wu, Shu-Tao Xia, Yisen Wang

ECCV 2020 Improving Query Efficiency of Black-Box Adversarial Attack Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo

ICLR 2020 Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma

NeurIPS 2020 Stochastic Deep Gaussian Processes over Graphs Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia

ECCV 2020 Targeted Attack for Deep Hashing Based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang

ECCV 2020 Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang

IJCAI 2019 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

ICCVW 2019 Image Super-Resolution via Residual Block Attention Networks Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia

NeurIPS 2018 BML: A High-Performance, Low-Cost Gradient Synchronization Algorithm for DML Training Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu

NeurIPS 2017 Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex Chaobing Song, Shaobo Cui, Yong Jiang, Shu-Tao Xia

IJCAI 2017 Robust Survey Aggregation with Student-T Distribution and Sparse Representation Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai

IJCAI 2017 Student-T Process Regression with Student-T Likelihood Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia

AAAI 2017 Unbiased Multivariate Correlation Analysis Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

IJCAI 2016 Bernoulli Random Forests: Closing the Gap Between Theoretical Consistency and Empirical Soundness Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu