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Wei Huang

104 papers · 2019–2026 · 18 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 32 separate collaboration groups - the largest holds only 28% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Wei Huang?

12 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Taiji Suzuki, Andi Han, Miao Zhang 29 papers · 2021–2026 · NeurIPS, ICML, ICLR Hide ▲
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD AAAI 2026 Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? ICML 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 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 On the Role of Label Noise in the Feature Learning Process ICML 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts ICML 2025 Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons AISTATS 2025 Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters ICML 2025 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NeurIPS 2024 Global and Local Prompts Cooperation via Optimal Transport for Federated Learning CVPR 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NeurIPS 2024 On the Comparison between Multi-modal and Single-modal Contrastive Learning NeurIPS 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples ICML 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining NeurIPS 2024 Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory ICLR 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization NeurIPS 2024 Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning NeurIPS 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization NeurIPS 2023 “No Free Lunch” in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization AutoML 2023 Auto-scaling Vision Transformers without Training ICLR 2022 Deep Active Learning by Leveraging Training Dynamics NeurIPS 2022 Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NeurIPS 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NeurIPS 2022 Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective ICLR 2022 Weighted Mutual Learning with Diversity-Driven Model Compression NeurIPS 2022 On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization IJCAI 2021
20 papers whose co-authors appear nowhere else under this name
CoEvoer: Collaborative Evolution Transformer for Upper-Body Expressive Human Pose and Shape Estimation AAAI 2026 Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning AAAI 2026 SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention AAAI 2026 Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025 Decision SpikeFormer: Spike-Driven Transformer for Decision Making CVPR 2025 GaRe: Relightable 3D Gaussian Splatting for Outdoor Scenes from Unconstrained Photo Collections ICCV 2025 SeMob: Semantic Synthesis for Dynamic Urban Mobility Prediction EMNLP 2025 TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation AAAI 2025 Test-Time Graph Neural Dataset Search With Generative Projection ICML 2025 UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets EMNLP 2025 Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance ICML 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization ECCV 2024 Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search AAAI 2024 Exploring Label Hierarchy in a Generative Way for Hierarchical Text Classification COLING 2022 Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022 Item Response Ranking for Cognitive Diagnosis IJCAI 2021 Transferability of Spectral Graph Convolutional Neural Networks JMLR 2021 Predicting Collaborative Task Performance Using Graph Interlocutor Acoustic Network in Small Group Interaction Interspeech 2020 A Framework to Coordinate Segmentation and Recognition AAAI 2019

Venues · all papers under this name

NeurIPS (18) CVPR (16) AAAI (13) ICML (12) ICLR (11) EMNLP (9) IJCAI (6) ICCV (4) JMLR (3) ECCV (2) COLING (2) MICCAI (2) COLT (1) AutoML (1) AISTATS (1) Interspeech (1) ACML (1) UAI (1)