← Authors

Wei Huang

101 papers · 2019–2026 · 17 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (5) 🀝 Dynamic Duo (10) πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ‘‘ Triple Crown πŸ’Ž Century Club (96) ⚑ Prolific Year (25) πŸš€ Conference Pioneer ❓ The Questioner (2) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (372)

Conferences

NIPS (18) CVPR (14) AAAI (13) ICML (12) ICLR (11) EMNLP (9) IJCAI (6) ICCV (4) JMLR (3) ECCV (2) COLING (2) MICCAI (2) COLT (1) AUTOML (1) INTERSPEECH (1) AISTATS (1) UAI (1)

Top co-authors

Taiji Suzuki (10) Andi Han (9) Zhiwei Xiong (9) Yinggui Wang (6) Mingming Gong (6) Miao Zhang (5) Ye Shi (5) Xiaojuan Qi (5) Xiaowei Huang (4) Wuyang Chen (4)

Research topics

Privacy (1) Education (1)

Keywords

large language model (8) neural network (6) feature learning (5) federated learning (5) instance segmentation (5) model compression (4) causal inference (4) representation learning (4) knowledge distillation (4) training dynamics (3) electron microscopy (3) generative model (3) domain generalization (3) vision-language model (3) deep learning (3) neural architecture search (3) semi-supervised learning (3) prompt learning (3) gradient descent (3) transformer architecture (2)

Papers

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
β€œNo 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