Xiu Su

Orcid: 0000-0002-9863-5404

According to our database1, Xiu Su authored at least 74 papers between 2016 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CoopGuard: Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Round Attacks.
CoRR, April, 2026

Fair splits flip the leaderboard: CHANRG reveals limited generalization in RNA secondary-structure prediction.
CoRR, March, 2026

FreeAct: Freeing Activations for LLM Quantization.
CoRR, March, 2026

Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models.
CoRR, February, 2026

Learning to Accelerate Vision-Language-Action Models through Adaptive Visual Token Caching.
CoRR, February, 2026

ConLA: Contrastive Latent Action Learning from Human Videos for Robotic Manipulation.
CoRR, February, 2026

APEX: A Decoupled Memory-based Explorer for Asynchronous Aerial Object Goal Navigation.
CoRR, February, 2026

Inject Once Survive Later: Backdooring Vision-Language-Action Models to Persist Through Downstream Fine-tuning.
CoRR, February, 2026

LEGATO: Good Identity Unlearning Is Continuous.
CoRR, January, 2026

Injection Without Distortion: Geometrically Constrained Knowledge Enhancement for Vision-Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories.
CoRR, November, 2025

Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories.
CoRR, November, 2025

Calibrated Multimodal Representation Learning with Missing Modalities.
CoRR, November, 2025

UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation.
CoRR, October, 2025

Beyond Human Demonstrations: Diffusion-Based Reinforcement Learning to Generate Data for VLA Training.
CoRR, September, 2025

DeCoP: Enhancing Self-Supervised Time Series Representation with Dependency Controlled Pre-training.
CoRR, September, 2025

ConCM: Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning.
CoRR, June, 2025

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models.
CoRR, May, 2025

Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg.
CoRR, February, 2025

FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection.
IEEE Trans. Inf. Forensics Secur., 2025

Large language models driven neural architecture search for universal and lightweight disease diagnosis on histopathology slide images.
npj Digit. Medicine, 2025

FairMoE: Decoupled Expert Learning for Unbiased Customized Face Generation.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Graph Unlearning Meets Influence-aware Negative Preference Optimization.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

DualFPT: Handling Data Heterogeneity in Federated Prompt Tuning from both Generalized and Personalized Perspective.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CaDGS: Modeling Inter-Gaussian Mutual Information for Dynamic Novel View Synthesis.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Addressing Granularity-induced Semantic Drift in OvOD via Graph-guided semantically consistent representation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Stable Fair Graph Representation Learning with Lipschitz Constraint.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Harmonizing for defect visibility with Fine-Grained Hierarchical Interaction Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

HieClip: Hierarchical CLIP with Explicit Alignment for Zero-Shot Anomaly Detection.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization.
CoRR, 2024

Training-free Long Video Generation with Chain of Diffusion Model Experts.
CoRR, 2024

NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization.
CoRR, 2024

Universal Frequency Domain Perturbation for Single-Source Domain Generalization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Image Anomaly Detection Based on Controllable Self-Augmentation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SCD-NAS: Towards Zero-Cost Training in Melanoma Diagnosis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DomainVoyager: Embracing The Unknown Domain by Prompting for Automatic Augmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

TCNAS: Transformer Architecture Evolving in Code Clone Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Searching for Network Width With Bilaterally Coupled Network.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models.
CoRR, 2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models.
CoRR, 2023

CoNe: Contrast Your Neighbours for Supervised Image Classification.
CoRR, 2023

Can GPT-4 Perform Neural Architecture Search?
CoRR, 2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures.
Proceedings of the IEEE International Conference on Data Mining, 2023

Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Architecture Search for Wide Spectrum Adversarial Robustness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CNN-based Local Vision Transformer for COVID-19 Diagnosis.
CoRR, 2022

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sufficient Vision Transformer.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Data Agnostic Filter Gating For Efficient Deep Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

ScaleNet: Searching for the Model to Scale.
Proceedings of the Computer Vision - ECCV 2022, 2022

ViTAS: Vision Transformer Architecture Search.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Vision Transformer Architecture Search.
CoRR, 2021

K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets.
Proceedings of the 38th International Conference on Machine Learning, 2021

Locally Free Weight Sharing for Network Width Search.
Proceedings of the 9th International Conference on Learning Representations, 2021

BCNet: Searching for Network Width With Bilaterally Coupled Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Prioritized Architecture Sampling With Monto-Carlo Tree Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Data Agnostic Filter Gating for Efficient Deep Networks.
CoRR, 2020

Cup-disc and retinal nerve fiber layer features fusion for diagnosis glaucoma.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2018
Marine Floating Raft Aquaculture Dynamic Monitoring Based on Multi-source GF Imagery.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
Monitoring the thermal discharge of hongyanhe nuclear power plant with aerial remote sensing technology using a UAV platform.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Comparison of different spatial resolution thermal infrared data in monitoring thermal plume from the Hongyanhe nuclear power plant.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Research on Heat and Humidity Transfer Performance Evaluation of Spraying Mine Exhaust Air Heat Exchanger.
Proceedings of the Geo-informatics in Sustainable Ecosystem and Society, 2016


  Loading...