Wei Huang

DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation AAAI 2026 Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning AAAI 2026 CoEvoer: Collaborative Evolution Transformer for Upper-Body Expressive Human Pose and Shape Estimation AAAI 2026 SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention AAAI 2026 On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD AAAI 2026 DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment EMNLP 2025 A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025 SeMob: Semantic Synthesis for Dynamic Urban Mobility Prediction EMNLP 2025 Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025 Temporal Scaling Law for Large Language Models EMNLP 2025 UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets EMNLP 2025 Causal Effect of Functional Treatment JMLR 2025 Test-Time Graph Neural Dataset Search With Generative Projection ICML 2025 Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters ICML 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models ICML 2025 On the Role of Label Noise in the Feature Learning Process ICML 2025 Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints ICML 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025 GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation AAAI 2025 TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation AAAI 2025 Risk Controlled Image Retrieval AAAI 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons AISTATS 2025 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? ICML 2025 Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models COLING 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts ICML 2025 Data Pruning by Information Maximization ICLR 2025 Mixture Compressor for Mixture-of-Experts LLMs Gains More ICLR 2025 From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics ICLR 2025 On the Feature Learning in Diffusion Models ICLR 2025 On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent ICLR 2025 GaRe: Relightable 3D Gaussian Splatting for Outdoor Scenes from Unconstrained Photo Collections ICCV 2025 DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025 Fast Quiet-STaR: Thinking Without Thought Tokens EMNLP 2025 Projection Pursuit Density Ratio Estimation ICML 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 2025 VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection CVPR 2025 Decision SpikeFormer: Spike-Driven Transformer for Decision Making CVPR 2025 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NIPS 2024 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NIPS 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NIPS 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NIPS 2024 On the Comparison between Multi-modal and Single-modal Contrastive Learning NIPS 2024 Provable and Efficient Dataset Distillation for Kernel Ridge Regression NIPS 2024 SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining NIPS 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization NIPS 2024 Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search AAAI 2024 Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model AAAI 2024 DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction CVPR 2024 Global and Local Prompts Cooperation via Optimal Transport for Federated Learning CVPR 2024 Learning Large-Factor EM Image Super-Resolution with Generative Priors CVPR 2024 Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization ECCV 2024 Privacy Evaluation Benchmarks for NLP Models EMNLP 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024 Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory ICLR 2024 Graph Lottery Ticket Automated ICLR 2024 Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance ICML 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples ICML 2024 BiLLM: Pushing the Limit of Post-Training Quantization for LLMs ICML 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Joint EM Image Denoising and Segmentation with Instance-aware Interaction MICCAI 2024 LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024 HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer ICLR 2023 Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning NIPS 2023 Learning Steerable Function for Efficient Image Resampling CVPR 2023 Style Projected Clustering for Domain Generalized Semantic Segmentation CVPR 2023 “No Free Lunch” in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization AUTOML 2023 Analyzing Generalization of Neural Networks through Loss Path Kernels NIPS 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization NIPS 2023 Generator Identification for Linear SDEs with Additive and Multiplicative Noise NIPS 2023 Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning IJCAI 2023 Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective CVPR 2023 Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation ICCV 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023 A Soma Segmentation Benchmark in Full Adult Fly Brain CVPR 2023 Exploring Label Hierarchy in a Generative Way for Hierarchical Text Classification COLING 2022 Enhancing Adversarial Training With Second-Order Statistics of Weights CVPR 2022 Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation AAAI 2022 Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective ICLR 2022 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models NIPS 2022 Biological Instance Segmentation with a Superpixel-Guided Graph IJCAI 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NIPS 2022 Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022 Deep Active Learning by Leveraging Training Dynamics NIPS 2022 Auto-scaling Vision Transformers without Training ICLR 2022 Weighted Mutual Learning with Diversity-Driven Model Compression NIPS 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NIPS 2022 Transferability of Spectral Graph Convolutional Neural Networks JMLR 2021 On the Equivalence between Neural Network and Support Vector Machine NIPS 2021 Item Response Ranking for Cognitive Diagnosis IJCAI 2021 On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization IJCAI 2021 Conformer: Local Features Coupling Global Representations for Visual Recognition ICCV 2021 DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls CVPR 2021 PD-GAN: Probabilistic Diverse GAN for Image Inpainting CVPR 2021 BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021 Predicting Collaborative Task Performance Using Graph Interlocutor Acoustic Network in Small Group Interaction INTERSPEECH 2020 Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations ECCV 2020 A Framework to Coordinate Segmentation and Recognition AAAI 2019