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Tao Dai
Shenzhen University, Shenzhen, China
44 papers at tracked venues · 34 at CORE A* · active 2024–2026
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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
Hang Guo
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×6
Yaohua Zha
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×5
Yifan Hu
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×2
Peiyuan Liu
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×2
YuJun Liu
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×2
Taolin Zhang
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×2
Jinmin Li
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×2
Yuxuan Chou
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×1
Yujun Huang
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×1
Baixuan Lv
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×1
Shiyu Qin
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×1
Jiarui Yang
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×1
Papers
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection
AAAI 2026
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Yaohua Zha
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Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
AAAI 2026
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Yuxuan Chou
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3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
ICML 2025
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Yujun Huang
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Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
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Baixuan Lv
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Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
AAAI 2025
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Yifan Hu
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CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
AAAI 2025
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Peiyuan Liu
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Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression
ICCV 2025
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Shiyu Qin
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DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
AAAI 2025
·
Tao Dai
DIIN: Diffusion Iterative Implicit Networks for Arbitrary-scale Super-resolution
IJCAI 2025
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Tao Dai
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
AAAI 2025
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Jiarui Yang
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Efficient Differentiable Approximation of Generalized Low-rank Regularization
IJCAI 2025
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Naiqi Li
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Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
CVPR 2025
·
Jinpeng Wang
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EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
AAAI 2025
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Guanghao Meng
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Expert-Enhanced Masked Point Modeling for Point Cloud Self-Supervised Learning
ICRA 2025
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Yujun Liu
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FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning
ICCV 2025
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Hang Guo
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GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
AAAI 2025
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Tao Dai
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
ICML 2025
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Hang Guo
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MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns
WWW 2025
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YuJun Liu
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MambaIRv2: Attentive State Space Restoration
CVPR 2025
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Hang Guo
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PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
CVPR 2025
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Yaohua Zha
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Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
IJCAI 2025
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Yaohua Zha
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Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
CVPR 2025
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Haitong Liu
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Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
ACM MM 2025
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Hanzhe Liang
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TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
ICML 2025
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Peiyuan Liu
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TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
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Yifan Hu
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BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
NeurIPS 2024
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Taolin Zhang
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Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling
IJCAI 2024
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Jinmin Li
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CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
ECCV 2024
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Hao Fang
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DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
NeurIPS 2024
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Tao Dai
FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
IJCAI 2024
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Tao Dai
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process
IJCAI 2024
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Yuqiu Xie
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Invertible Residual Rescaling Models
IJCAI 2024
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Jinmin Li
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LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
NeurIPS 2024
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Yaohua Zha
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Large Point-to-Gaussian Model for Image-to-3D Generation
ACM MM 2024
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Longfei Lu
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MambaIR: A Simple Baseline for Image Restoration with State-Space Model
ECCV 2024
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Hang Guo
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Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts
NeurIPS 2024
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Hang Guo
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Periodicity Decoupling Framework for Long-term Series Forecasting
ICLR 2024
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Tao Dai
Procedural Level Generation with Diffusion Models from a Single Example
AAAI 2024
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Shiqi Dai
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RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
WWW 2024
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Yushen Li
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ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NeurIPS 2024
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Hang Guo
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Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
AAAI 2024
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Yaohua Zha
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Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
ICLR 2024
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Mengxi Ya
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Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning
ACM MM 2024
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Hongze Zhu
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Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
AAAI 2024
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Taolin Zhang
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