← Authors

Shu-Tao Xia

106 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (10) 🏠 Conference Loyalist (20) πŸ† Keyword Champion πŸ† Grand Slam 🀝 Dynamic Duo (45) πŸ”¬ Deep Specialist (13) πŸ’Ž Century Club (103) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (390) ⚑ Prolific Year (22) πŸ”₯ Unstoppable (10)

Conferences

AAAI (20) CVPR (17) ICLR (14) NIPS (13) ECCV (11) ICCV (11) IJCAI (10) ICML (4) ACL (3) EMNLP (2) UAI (1)

Top co-authors

Tao Dai (47) Bin Chen (36) Yong Jiang (17) Jinpeng Wang (14) Naiqi Li (12) Hang Guo (12) Yaohua Zha (12) Yisen Wang (10) Yiming Li (10) Jiawang Bai (8)

Keywords

contrastive learning (8) adversarial learning (7) transfer learning (7) vision-language model (6) adversarial attack (6) point cloud (6) self-supervised learning (6) backdoor attack (6) image restoration (6) multimodal learning (5) large language model (4) diffusion model (4) representation learning (4) video retrieval (4) uncertainty quantification (3) video hashing (3) domain adaptation (3) model security (3) image generation (3) neural network (3)

Papers

Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning AAAI 2026
CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection AAAI 2026
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026
Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning ICCV 2025
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution AAAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning AAAI 2025
Pre-Trained Vision-Language Models as Noisy Partial Annotators AAAI 2025
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting ICML 2025
Modeling Uncertainty in Composed Image Retrieval via Probabilistic Embeddings ACL 2025
Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models ACL 2025
3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors ICML 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting ICML 2025
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models ICML 2025
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information ICLR 2025
Error-quantified Conformal Inference for Time Series ICLR 2025
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation ICLR 2025
PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter CVPR 2025
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing CVPR 2025
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning CVPR 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception CVPR 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation CVPR 2025
MambaIRv2: Attentive State Space Restoration CVPR 2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations CVPR 2025
An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression ICLR 2025
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks ICLR 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning ICCV 2025
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors EMNLP 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models ICCV 2025
Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression ICCV 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization IJCAI 2025
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning IJCAI 2025
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud AAAI 2025
Efficient Self-Supervised Video Hashing with Selective State Spaces AAAI 2025
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach ECCV 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation NIPS 2024
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP CVPR 2024
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images ICLR 2024
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor NIPS 2024
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NIPS 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling NIPS 2024
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting NIPS 2024
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process IJCAI 2024
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling IJCAI 2024
Invertible Residual Rescaling Models IJCAI 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks ECCV 2024
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks ECCV 2024
Periodicity Decoupling Framework for Long-term Series Forecasting ICLR 2024
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark ICLR 2024
MambaIR: A Simple Baseline for Image Restoration with State-Space Model ECCV 2024
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval AAAI 2024
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders AAAI 2024
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding AAAI 2024
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data AAAI 2024
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts NIPS 2024
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection ICLR 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand NIPS 2023
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer AAAI 2023
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks AAAI 2023
Contrastive Masked Autoencoders for Self-Supervised Video Hashing AAAI 2023
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain AAAI 2023
Learning Transferable Spatiotemporal Representations From Natural Script Knowledge CVPR 2023
Backdoor Defense via Adaptively Splitting Poisoned Dataset CVPR 2023
Towards Robust Model Watermark via Reducing Parametric Vulnerability ICCV 2023
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model ICCV 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models ICCV 2023
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training ICCV 2023
DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION ICLR 2023
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement IJCAI 2023
PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework CVPR 2022
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval AAAI 2022
Improving Vision Transformers by Revisiting High-Frequency Components ECCV 2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips ECCV 2022
Defending against Model Stealing via Verifying Embedded External Features AAAI 2022
Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution CVPR 2022
Few-Shot Backdoor Attacks on Visual Object Tracking ICLR 2022
NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer ECCV 2022
Deep Dirichlet process mixture models UAI 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection NIPS 2022
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation ECCV 2022
TokenPose: Learning Keypoint Tokens for Human Pose Estimation ICCV 2021
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits ICLR 2021
Improving Adversarial Robustness via Channel-wise Activation Suppressing ICLR 2021
Clustering Effect of Adversarial Robust Models NIPS 2021
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets ICLR 2020
Adversarial Weight Perturbation Helps Robust Generalization NIPS 2020
Improving Query Efficiency of Black-box Adversarial Attack ECCV 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters ECCV 2020
Targeted Attack for Deep Hashing based Retrieval ECCV 2020
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention CVPR 2020
Maintaining Discrimination and Fairness in Class Incremental Learning CVPR 2020
Stochastic Deep Gaussian Processes over Graphs NIPS 2020
Adversarial Attack on Deep Product Quantization Network for Image Retrieval AAAI 2020
Hilbert-Based Generative Defense for Adversarial Examples ICCV 2019
Second-Order Attention Network for Single Image Super-Resolution CVPR 2019
Automatic Grassland Degradation Estimation Using Deep Learning IJCAI 2019
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training NIPS 2018
Exploiting Common Characters in Chinese and Japanese to Learn Cross-Lingual Word Embeddings via Matrix Factorization ACL 2018
Iterative Learning With Open-Set Noisy Labels CVPR 2018
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NIPS 2017
Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017
Student-t Process Regression with Student-t Likelihood IJCAI 2017
Bernoulli Random Forests: Closing the Gap between Theoretical Consistency and Empirical Soundness IJCAI 2016