Wenwu Zhu
77 papers · 2015–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(60)
Deep Learning
(41)
Learning Types Β· Machine Learning
(33)
Artificial Intelligence
(31)
Architectures
(28)
Core Methods
(26)
Application Areas
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Core AI
(22)
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Keywords
graph neural network
(22)
neural architecture search
(13)
graph neural architecture search
(9)
curriculum learning
(8)
disentangled representation
(7)
multimodal learning
(6)
domain generalization
(6)
distribution shift
(6)
out-of-distribution generalization
(4)
self-supervised learning
(4)
contrastive learning
(4)
representation learning
(4)
graph representation learning
(4)
video understanding
(4)
continual learning
(3)
model compression
(3)
gradient descent
(3)
graph classification
(3)
transfer learning
(3)
adversarial robustness
(3)
Papers
Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning
AAAI 2026
ModularAgent: A Task-Aware Modular Framework for Joint Optimization of Multimodal Large Language Models and World Models
CVPR 2026
Reasoning Diffusion for Unpaired Test Time Out-of-distribution Text-Image to Video Generation
CVPR 2026
U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks
AAAI 2026
AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization
ICML 2025
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
AAAI 2025
Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
ICML 2025
Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning
ICML 2025
Identity-Text Video Corpus Grounding
AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
AAAI 2025
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
AAAI 2025
Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering
ICML 2025
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
CVPR 2025
Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
ICML 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
CVPR 2025
CurBench: Curriculum Learning Benchmark
ICML 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
ICLR 2024
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
ICML 2024
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
ICML 2024
Multimodal Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models
ECCV 2024
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
CVPR 2024
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding
NeurIPS 2024
VTimeLLM: Empower LLM to Grasp Video Moments
CVPR 2024
Adversarially Robust Neural Architecture Search for Graph Neural Networks
CVPR 2023
AutoGT: Automated Graph Transformer Architecture Search
ICLR 2023
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation
ICML 2023
Curriculum Graph Machine Learning: A Survey
IJCAI 2023
Curriculum Multi-Negative Augmentation for Debiased Video Grounding
AAAI 2023
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering
ICCV 2023
Dynamic Heterogeneous Graph Attention Neural Architecture Search
AAAI 2023
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
NeurIPS 2023
Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
CVPR 2023
Joint Data-Task Generation for Auxiliary Learning
NeurIPS 2023
Multi-Objective Online Learning
ICLR 2023
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum
NeurIPS 2023
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
NeurIPS 2023
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision
NeurIPS 2023
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks
ICML 2023
Auxiliary Learning with Joint Task and Data Scheduling
ICML 2022
DNA: Domain Generalization with Diversified Neural Averaging
ICML 2022
Domain Generalization through the Lens of Angular Invariance
IJCAI 2022
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift
NeurIPS 2022
Graph Neural Architecture Search Under Distribution Shifts
ICML 2022
Large-Scale Graph Neural Architecture Search
ICML 2022
Learning Invariant Graph Representations for Out-of-Distribution Generalization
NeurIPS 2022
Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum
AAAI 2022
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance
ECCV 2022
Module-Aware Optimization for Auxiliary Learning
NeurIPS 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NeurIPS 2022
Online Continual Adaptation with Active Self-Training
AISTATS 2022
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
NeurIPS 2022
Parametric Visual Program Induction with Function Modularization
ICML 2022
Asynchronous Decentralized Online Learning
NeurIPS 2021
AutoAttend: Automated Attention Representation Search
ICML 2021
Automated Machine Learning on Graphs: A Survey
IJCAI 2021
Curriculum Disentangled Recommendation with Noisy Multi-feedback
NeurIPS 2021
Disentangled Contrastive Learning on Graphs
NeurIPS 2021
Explainable Automated Graph Representation Learning with Hyperparameter Importance
ICML 2021
Graph Differentiable Architecture Search with Structure Learning
NeurIPS 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
NeurIPS 2021
Power up! Robust Graph Convolutional Network via Graph Powering
AAAI 2021
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
AAAI 2020
Implicit Graph Neural Networks
NeurIPS 2020
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data
AAAI 2020
Discrete Social Recommendation
AAAI 2019
Disentangled Graph Convolutional Networks
ICML 2019
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation
IJCAI 2019
Learning Disentangled Representations for Recommendation
NeurIPS 2019
Learning to Learn Image Classifiers With Visual Analogy
CVPR 2019
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
NeurIPS 2019
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression
AAAI 2019
Weakly Supervised Dense Event Captioning in Videos
NeurIPS 2018
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution
IJCAI 2017
Projection-free Distributed Online Learning in Networks
ICML 2017
Deep Multimodal Hashing with Orthogonal Regularization
IJCAI 2015