Gao Huang

Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers EACL 2026 SenseSearch: Empowering Vision-Language Models with High-Resolution Agentic Search-Reasoning via Reinforcement Learning CVPR 2026 SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation AAAI 2026 Vision Transformers Are Circulant Attention Learners AAAI 2026 ViT$^3$: Unlocking Test-Time Training in Vision CVPR 2026 4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models CVPR 2025 ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation CVPR 2025 CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning CVPR 2025 CODA: Repurposing Continuous VAEs for Discrete Tokenization ICCV 2025 DenseGrounding: Improving Dense Language-Vision Semantics for Ego-centric 3D Visual Grounding ICLR 2025 Differential Transformer ICLR 2025 DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints AAAI 2025 DTOS: Dynamic Time Object Sensing with Large Multimodal Model CVPR 2025 Dynamic Diffusion Transformer ICLR 2025 EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance CVPR 2025 Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment CVPR 2025 GridMix: Exploring Spatial Modulation for Neural Fields in PDE Modeling ICLR 2025 HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding CVPR 2025 How Far Is Video Generation from World Model: A Physical Law Perspective ICML 2025 IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance ICCV 2025 Model Surgery: Modulating LLM’s Behavior Via Simple Parameter Editing NAACL 2025 ProxyTransformation: Preshaping Point Cloud Manifold With Proxy Attention For 3D Visual Grounding CVPR 2025 Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias ICLR 2025 AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation ECCV 2024 ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process ICLR 2024 Agent Attention: On the Integration of Softmax and Linear Attention ECCV 2024 Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling ACL 2024 Bridging the Divide: Reconsidering Softmax and Linear Attention NeurIPS 2024 Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model MICCAI 2024 COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing NeurIPS 2024 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NeurIPS 2024 Demystify Mamba in Vision: A Linear Attention Perspective NeurIPS 2024 DyFADet: Dynamic Feature Aggregation for Temporal Action Detection ECCV 2024 Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation NeurIPS 2024 Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators ECCV 2024 ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis NeurIPS 2024 ExpeL: LLM Agents Are Experiential Learners AAAI 2024 Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation AAAI 2024 Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering ECCV 2024 GRA: Detecting Oriented Objects through Group-wise Rotating and Attention ECCV 2024 GSVA: Generalized Segmentation via Multimodal Large Language Models CVPR 2024 Learning 1D Causal Visual Representation with De-focus Attention Networks NeurIPS 2024 LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images ECCV 2024 Mask Grounding for Referring Image Segmentation CVPR 2024 Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models CVPR 2024 PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents ACL 2024 Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis CVPR 2024 Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels ECCV 2024 SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning ICML 2024 Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models CVPR 2024 Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data NeurIPS 2024 Adaptive Rotated Convolution for Rotated Object Detection ICCV 2023 BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision CVPR 2023 Boosted Dynamic Neural Networks AAAI 2023 Boosting Offline Reinforcement Learning with Action Preference Query ICML 2023 Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm ICCV 2023 Budgeted Training for Vision Transformer ICLR 2023 Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism AAAI 2023 Deep Incubation: Training Large Models by Divide-and-Conquering ICCV 2023 Dynamic Perceiver for Efficient Visual Recognition ICCV 2023 EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones ICCV 2023 FLatten Transformer: Vision Transformer using Focused Linear Attention ICCV 2023 Rank-DETR for High Quality Object Detection NeurIPS 2023 Siamese Image Modeling for Self-Supervised Vision Representation Learning CVPR 2023 Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention CVPR 2023 STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning NeurIPS 2023 Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information CVPR 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NeurIPS 2023 Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL NeurIPS 2023 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning CVPR 2023 ActiveNeRF: Learning Where to See with Uncertainty Estimation ECCV 2022 AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition CVPR 2022 AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition ECCV 2022 A Mixture Of Surprises for Unsupervised Reinforcement Learning NeurIPS 2022 Assessing a Single Image in Reference-Guided Image Synthesis AAAI 2022 AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks CVPR 2022 Contrastive Language-Image Pre-Training with Knowledge Graphs NeurIPS 2022 DiSparse: Disentangled Sparsification for Multitask Model Compression CVPR 2022 Efficient Knowledge Distillation from Model Checkpoints NeurIPS 2022 Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework CVPR 2022 Latency-aware Spatial-wise Dynamic Networks NeurIPS 2022 Learning to Weight Samples for Dynamic Early-Exiting Networks ECCV 2022 On the Integration of Self-Attention and Convolution CVPR 2022 Provable General Function Class Representation Learning in Multitask Bandits and MDP NeurIPS 2022 Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding CVPR 2022 Vision Transformer With Deformable Attention CVPR 2022 3D Object Detection With Pointformer CVPR 2021 Adaptive Focus for Efficient Video Recognition ICCV 2021 Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation ICLR 2021 Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning NeurIPS 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Cross-Iteration Batch Normalization CVPR 2021 Evolving Attention with Residual Convolutions ICML 2021 Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving ICCV 2021 Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition NeurIPS 2021 Revisiting Locally Supervised Learning: an Alternative to End-to-end Training ICLR 2021 Searching Parameterized AP Loss for Object Detection NeurIPS 2021 Towards Learning Spatially Discriminative Feature Representations ICCV 2021 Domain Conditioned Adaptation Network AAAI 2020 Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification NeurIPS 2020 Resolution Adaptive Networks for Efficient Inference CVPR 2020 Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation ECCV 2020 Asymmetric Valleys: Beyond Sharp and Flat Local Minima NeurIPS 2019 Horizontal Pyramid Matching for Person Re-Identification AAAI 2019 Implicit Semantic Data Augmentation for Deep Networks NeurIPS 2019 Improved Techniques for Training Adaptive Deep Networks ICCV 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Rethinking the Value of Network Pruning ICLR 2019 CondenseNet: An Efficient DenseNet Using Learned Group Convolutions CVPR 2018 Multi-Scale Dense Networks for Resource Efficient Image Classification ICLR 2018 Resource Aware Person Re-Identification Across Multiple Resolutions CVPR 2018 Densely Connected Convolutional Networks CVPR 2017 Learning Efficient Convolutional Networks Through Network Slimming ICCV 2017 Supervised Word Mover's Distance NeurIPS 2016 Anytime Representation Learning ICML 2013