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Tao Dai
Shenzhen University, Shenzhen, China
44 papers at tracked venues · 34 at CORE A* · active 2024–2026
DBLP profile ↗
ORCID 0000-0003-0594-6404 ↗
Google Scholar ↗
Homepage ↗
Venues
AAAI
×11
IJCAI
×7
CVPR
×5
NeurIPS
×5
ICML
×4
ACM MM
×3
ECCV
×2
ICCV
×2
ICLR
×2
WWW
×2
ICRA
×1
Frequent coauthors
Shu-Tao Xia
×36
Bin Chen
×15
Hang Guo
×14
Yaohua Zha
×13
Naiqi Li
×12
Peiyuan Liu
×8
Jinmin Li
×7
Yong Jiang
×6
Jinpeng Wang
×6
Zexuan Zhu
×6
Zhi Wang
×5
Xue Yuerong
×4
Papers
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
BibTeX ⧉
AAAI 2026
·
Yaohua Zha
,
Xue Yuerong
,
Chunlin Fan
,
Yuansong Wang
,
Tao Dai
,
Ke Chen
,
Shu-Tao Xia
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
BibTeX ⧉
AAAI 2026
·
Yuxuan Chou
,
Tao Yu
,
Wen Huang
,
Yuheng Zhang
,
Tao Dai
,
Shu-Tao Xia
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
BibTeX ⧉
ICML 2025
·
Yujun Huang
,
Bin Chen
,
Niu Lian
,
Xin Wang
,
Baoyi An
,
Tao Dai
,
Shu-Tao Xia
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
BibTeX ⧉
CVPR 2025
·
Baixuan Lv
,
Yaohua Zha
,
Tao Dai
,
Xue Yuerong
,
Ke Chen
,
Shu-Tao Xia
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
BibTeX ⧉
AAAI 2025
·
Yifan Hu
,
Peiyuan Liu
,
Peng Zhu
,
Dawei Cheng
,
Tao Dai
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
BibTeX ⧉
AAAI 2025
·
Peiyuan Liu
,
Hang Guo
,
Tao Dai
,
Naiqi Li
,
Jigang Bao
,
Xudong Ren
,
Yong Jiang
,
Shu-Tao Xia
Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression
BibTeX ⧉
ICCV 2025
·
Shiyu Qin
,
Jinpeng Wang
,
Yimin Zhou
,
Bin Chen
,
Tianci Luo
,
Baoyi An
,
Tao Dai
,
Shu-Tao Xia
,
Yaowei Wang
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
BibTeX ⧉
AAAI 2025
·
Tao Dai
,
Yang Lin
,
Hang Guo
,
Jinbao Wang
,
Zexuan Zhu
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution
BibTeX ⧉
IJCAI 2025
·
Tao Dai
,
Song Wang
,
Hang Guo
,
Jianping Wang
,
Zexuan Zhu
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
BibTeX ⧉
AAAI 2025
·
Jiarui Yang
,
Tao Dai
,
Yufei Zhu
,
Naiqi Li
,
Jinmin Li
,
Shu-Tao Xia
Efficient Differentiable Approximation of Generalized Low-rank Regularization
BibTeX ⧉
IJCAI 2025
·
Naiqi Li
,
Yuqiu Xie
,
Peiyuan Liu
,
Tao Dai
,
Yong Jiang
,
Shutao Xia
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
BibTeX ⧉
CVPR 2025
·
Jinpeng Wang
,
Tianci Luo
,
Yaohua Zha
,
Yan Feng
,
Ruisheng Luo
,
Bin Chen
,
Tao Dai
,
Long Chen
,
Yaowei Wang
,
Shu-Tao Xia
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
BibTeX ⧉
AAAI 2025
·
Guanghao Meng
,
Sunan He
,
Jinpeng Wang
,
Tao Dai
,
Letian Zhang
,
Jieming Zhu
,
Qing Li
,
Gang Wang
,
Rui Zhang
,
Yong Jiang
Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning
BibTeX ⧉
ICRA 2025
·
Yujun Liu
,
Yaohua Zha
,
Naiqi Li
,
Tao Dai
,
Bin Chen
,
Shu-Tao Xia
FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning
BibTeX ⧉
ICCV 2025
·
Hang Guo
,
Yawei Li
,
Taolin Zhang
,
Jiangshan Wang
,
Tao Dai
,
Shu-Tao Xia
,
Luca Benini
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
BibTeX ⧉
AAAI 2025
·
Tao Dai
,
Yanzi Wang
,
Jianyu Xiong
,
Yaohua Zha
,
Shu-Tao Xia
,
Zexuan Zhu
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
BibTeX ⧉
ICML 2025
·
Hang Guo
,
Yawei Li
,
Tao Dai
,
Shu-Tao Xia
,
Luca Benini
MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns
BibTeX ⧉
WWW 2025
·
YuJun Liu
,
Chen-Hui Song
,
Peiyuan Liu
,
Naiqi Li
,
Tao Dai
,
Jigang Bao
,
Yong Jiang
,
Shu-Tao Xia
MambaIRv2: Attentive State Space Restoration
BibTeX ⧉
CVPR 2025
·
Hang Guo
,
Yong Guo
,
Yaohua Zha
,
Yulun Zhang
,
Wenbo Li
,
Tao Dai
,
Shu-Tao Xia
,
Yawei Li
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
BibTeX ⧉
CVPR 2025
·
Yaohua Zha
,
Yanzi Wang
,
Hang Guo
,
Jinpeng Wang
,
Tao Dai
,
Bin Chen
,
Zhihao Ouyang
,
Xue Yuerong
,
Ke Chen
,
Shu-Tao Xia
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
BibTeX ⧉
IJCAI 2025
·
Yaohua Zha
,
Tao Dai
,
Hang Guo
,
Yanzi Wang
,
Bin Chen
,
Ke Chen
,
Shu-Tao Xia
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
BibTeX ⧉
CVPR 2025
·
Haitong Liu
,
Kuofeng Gao
,
Yang Bai
,
Jinmin Li
,
Jinxiao Shan
,
Tao Dai
,
Shu-Tao Xia
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
BibTeX ⧉
ACM MM 2025
·
Hanzhe Liang
,
Jie Zhang
,
Tao Dai
,
Linlin Shen
,
Jinbao Wang
,
Can Gao
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
BibTeX ⧉
ICML 2025
·
Peiyuan Liu
,
Beiliang Wu
,
Yifan Hu
,
Naiqi Li
,
Tao Dai
,
Jigang Bao
,
Shu-Tao Xia
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
BibTeX ⧉
ICML 2025
·
Yifan Hu
,
Guibin Zhang
,
Peiyuan Liu
,
Disen Lan
,
Naiqi Li
,
Dawei Cheng
,
Tao Dai
,
Shu-Tao Xia
,
Shirui Pan
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
BibTeX ⧉
NeurIPS 2024
·
Taolin Zhang
,
Jinpeng Wang
,
Hang Guo
,
Tao Dai
,
Bin Chen
,
Shu-Tao Xia
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
BibTeX ⧉
IJCAI 2024
·
Jinmin Li
,
Tao Dai
,
Jingyun Zhang
,
Kang Liu
,
Jun Wang
,
Shaoming Wang
,
Shu-Tao Xia
,
Rizen Guo
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
BibTeX ⧉
ECCV 2024
·
Hao Fang
,
Jiawei Kong
,
Bin Chen
,
Tao Dai
,
Hao Wu
,
Shu-Tao Xia
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
BibTeX ⧉
NeurIPS 2024
·
Tao Dai
,
Beiliang Wu
,
Peiyuan Liu
,
Naiqi Li
,
Xue Yuerong
,
Shu-Tao Xia
,
Zexuan Zhu
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
BibTeX ⧉
IJCAI 2024
·
Tao Dai
,
Jianping Wang
,
Hang Guo
,
Jinmin Li
,
Jinbao Wang
,
Zexuan Zhu
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process
BibTeX ⧉
IJCAI 2024
·
Yuqiu Xie
,
Bolin Jiang
,
Jiawei Li
,
Naiqi Li
,
Bin Chen
,
Tao Dai
,
Yuang Peng
,
Shu-Tao Xia
Invertible Residual Rescaling Models
BibTeX ⧉
IJCAI 2024
·
Jinmin Li
,
Tao Dai
,
Yaohua Zha
,
Yilu Luo
,
Longfei Lu
,
Bin Chen
,
Zhi Wang
,
Shu-Tao Xia
,
Jingyun Zhang
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
BibTeX ⧉
NeurIPS 2024
·
Yaohua Zha
,
Naiqi Li
,
Yanzi Wang
,
Tao Dai
,
Hang Guo
,
Bin Chen
,
Zhi Wang
,
Zhihao Ouyang
,
Shu-Tao Xia
Large Point-to-Gaussian Model for Image-to-3D Generation
BibTeX ⧉
ACM MM 2024
·
Longfei Lu
,
Huachen Gao
,
Tao Dai
,
Yaohua Zha
,
Zhi Hou
,
Junta Wu
,
Shu-Tao Xia
MambaIR: A Simple Baseline for Image Restoration with State-Space Model
BibTeX ⧉
ECCV 2024
·
Hang Guo
,
Jinmin Li
,
Tao Dai
,
Zhihao Ouyang
,
Xudong Ren
,
Shu-Tao Xia
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
BibTeX ⧉
NeurIPS 2024
·
Hang Guo
,
Tao Dai
,
Yuanchao Bai
,
Bin Chen
,
Xudong Ren
,
Zexuan Zhu
,
Shu-Tao Xia
Periodicity Decoupling Framework for Long-term Series Forecasting
BibTeX ⧉
ICLR 2024
·
Tao Dai
,
Beiliang Wu
,
Peiyuan Liu
,
Naiqi Li
,
Jigang Bao
,
Yong Jiang
,
Shu-Tao Xia
Procedural Level Generation with Diffusion Models from a Single Example
BibTeX ⧉
AAAI 2024
·
Shiqi Dai
,
Xuanyu Zhu
,
Naiqi Li
,
Tao Dai
,
Zhi Wang
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
BibTeX ⧉
WWW 2024
·
Yushen Li
,
Jinpeng Wang
,
Tao Dai
,
Jieming Zhu
,
Jun Yuan
,
Rui Zhang
,
Shu-Tao Xia
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
BibTeX ⧉
NeurIPS 2024
·
Hang Guo
,
Tao Dai
,
Zhihao Ouyang
,
Taolin Zhang
,
Yaohua Zha
,
Bin Chen
,
Shu-Tao Xia
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
BibTeX ⧉
AAAI 2024
·
Yaohua Zha
,
Huizhen Ji
,
Jinmin Li
,
Rongsheng Li
,
Tao Dai
,
Bin Chen
,
Zhi Wang
,
Shu-Tao Xia
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
BibTeX ⧉
ICLR 2024
·
Mengxi Ya
,
Yiming Li
,
Tao Dai
,
Bin Wang
,
Yong Jiang
,
Shu-Tao Xia
Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning
BibTeX ⧉
ACM MM 2024
·
Hongze Zhu
,
Guoyang Xie
,
Chengbin Hou
,
Tao Dai
,
Can Gao
,
Jinbao Wang
,
Linlin Shen
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
BibTeX ⧉
AAAI 2024
·
Taolin Zhang
,
Sunan He
,
Tao Dai
,
Zhi Wang
,
Bin Chen
,
Shu-Tao Xia